��

��

Dr. Xinbo Gao's Publications

International PublicationsList by TopicSelected Native Publications
��
::Publications::

IEEE Copyright Notice:

"These materials are presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder."

[Book Chapters] [Proceedings (eds)] [Best Ph.D. Theses] [Journal Articles] [Conference Papers] [Google Scholar] [DBLP] [ResearchGate]

��

BOOK CHAPTERS

  1. N.-N. Wang, S. Zhang, C. Peng, J. Li, X.-B. Gao.Chapter 6 Face Sketch Recognition via Data-Driven Synthesis.Handbook of Biometrics for Forensic Science, Advances in Computer Vision and Pattern Recognition, M. Tistarelli and C. Champod (eds.), pp.127-147, Springer International Publishing AG 2017.

  2. B. Wang, X.-B. Gao,et al. Salient Object Segmentation with Shape-constrained Level Set. Ayman El-Baz, Xiaoyi Jiang, Jasjit S. Suri (Edit)Biomedical Image Segmentation Advances and Trends, pp.371-384. CRC Press, 2016.

  3. X.-B. Gao, N.-N. Wang. Heterogeneous Face Photo-Sketch Synthesis.Machine Learning and its Applications 2013(Edited by C.-S. Zhang and Q. Yang), ISBN: 978-7-302-33619-8, Tsinghua Publishing House, 2013, pp.79-94.

  4. X.-B. Gao, W. Luet al. Image Quality Assessment: A Multiscale Geometric Analysis based Framework and Examples.Handbook of Natural Computing(Edited by Rozenberg Grzegorz, Back Thomas H.W., Kok Joost N),ISBN: 978-3-54092911-6, Springer-Verlag, 2011.

  5. C. Deng, X.-B. Gaoet al. Robust Image Watermarking Based on Feature Regions.Multimedia Analysis, Processing and Communications(Edited by W. Lin, D. Tao, J. Kacprzyk, Z. Li, E. Izquierdo and H. Wang), ISBN: 978-3-642-19550-1,Springer-Verlag Berlin Heidelberg 2011, SCI 346, pp.111-137.

  6. X.-B. Gao, B. Wang,et al. A Unified Tensor Level Set Method for Image Segmentation.Multimedia Analysis, Processing and Communications(Edited by W. Lin, D. Tao, J. Kacprzyk, Z. Li, E. Izquierdo and H. Wang), ISBN: 978-3-642-19550-1,Springer-Verlag Berlin Heidelberg 2011, SCI 346, pp.217-238.

  7. B. Xiao, X.-B. Gaoet al. Recognition of Sketches in Photos.Multimedia Analysis, Processing and Communications(Edited by W. Lin, D. Tao, J. Kacprzyk, Z. Li, E. Izquierdo and H. Wang), ISBN: 978-3-642-19550-1,Springer-Verlag Berlin Heidelberg 2011, SCI 346, pp.239-262.

  8. X.-B. Gao, B. Xiaoet. al.A Comparative Study of Three Graph Edit Distance Algorithms.Foundations on Computational Intelligence(Edited by A. Abraham, Aboul-Ella Hassanien et al.), ISBN: 978-3-642-01535-9, Springer, Vol. 5, SCI 205, pp. 223-242, 2009.

    9.

[top]

PROCEEDINGS (EDS.)

  1. Xinbo Gao, Abbas Jamalipour, Lei Guo.Wireless Mobile Communication and Healthcare- 10th EAI International Conference, MobiHealth 2021, Virtual Event, November 13-14, 2021,Proceedings. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 440, Springer 2022, ISBN 978-3-031-06367-1.

  2. Big Data: CCF Conference on Big Data.Proceedings of the 6th CCF Conference on Big Data, Xi'an, China, October 11-13, 2018. (Eds. with Z.-B Xu,X.-B. Gao, Q. Miao, Y. Zhang, J. Bu)

  3. Proceedings of the International Conference on Internet Multimedia Computing and Service,ACM International Conference Proceeding Series,ICIMCS 2016, v 19-21-August-2016, 2016. (Eds. with Alex H.,X.-B. Gao, X. Li, R. Ji, C. Deng, Y. Gao)

  4. Network and Parallel Computing :13th IFIP WG 10.3 International Conference. Gao Guang Rong, Qian Depei, Gao Xinbo, Chapman Barbara, Chen Wenguang. NPC 2016, Xi'an, China, October 28-29, 2016, Proceedings.Lecture Notes in Computer Science(ISSN 0302-9743 ; 9966), 2016.

  5. Intelligence Science and Big Data Engineering--Image and Video Data Engineering,Lecture Notes in Computer ScienceLNCS 9242,5th International Conference,IScIDE 2015, Suzhou, China, June 14�C16, 2015, Revised Selected Papers, Part I, 2015. (Eds. with X. He,X.-B. Gao, Y. Zhang, Zhi-Hua Zhou, Z. Liu, B. Fu, F. Hu, Z. Zhang)

  6. Intelligence Science and Big Data Engineering--Big Data and Machine Learning Techniques,Lecture Notes in Computer ScienceLNCS 9243,5th International Conference,IScIDE 2015, Suzhou, China, June 14�C16, 2015, Revised Selected Papers, Part II, 2015. (Eds. with X. He,X.-B. Gao, Y. Zhang, Zhi-Hua Zhou, Z. Liu, B. Fu, F. Hu, Z. Zhang)

  7. Proceedings of theACM International Conference on Image and Video Retrieval(CIVR2010),The ACM Digital Library, (Eds. with Shipeng Li,Xinbo Gao, and Nicu Sebe), 2010.(http://portal.acm.org/citation.cfm?id=1816041&picked=prox&cfid=11873113 &cftoken=19755116)

  8. Advances in Natural Computation,Lecture Notes in Computer Science,LNCS 4221, Second International Conference,ICNC 2006, Proceedings Part I, Springer, 2006 (Eds. with L. Jiao, L. Wang,X.-B. Gao, J. Liu, F. Wu)

  9. Advances in Natural Computation,Lecture Notes in Computer Science,LNCS 4222, Second International Conference,ICNC 2006, Proceedings Part II, Springer, 2006 (Eds. with L. Jiao, L. Wang,X.-B. Gao, J. Liu, F. Wu)

  10. Advances in Natural Computation and Data Mining,The 2nd International Conference on Natural Computation and the 3rd International Conference on Fuzzy Systems and Knowledge Discovery, ICNC-FSDK2006 2006,Proceedings, Xidian University Press, 2006 (Eds. with L. Jiao, L. Wang, G. Shi, S. Wang,X.-B. Gao, J. Liu)

[top]

BEST PH.D. THESES

  1. CAAI Best Ph.D. Thesis Award(2016): Nannan Wang (Advisor:X.-B. Gao). Heterogeneous Facial Image Synthesis and Its Applications. 2014.11

  2. Shaanxi ProvincialBest Ph.D. Thesis Award(2017): Nannan Wang (Advisor:X.-B. Gao). Heterogeneous Facial Image Synthesis and Its Applications. 2014.11

  3. Shaanxi ProvincialBest Ph.D. Thesis Award(2017): Xi Yang (Advisor:X.-B. Gao). Study of Auroral Oval Segmentation and Substorm Detection in UVI Images. 2015.04

  4. Shaanxi Institute of ElectronicsBest Ph.D. Thesis Award(2017): Di Wang (Advisor:X.-B. Gao). Hashing Algor ithms for Multimedia Nearest Neighbor Search. 2016.05

  5. Shaanxi ProvincialBest Ph.D. Thesis Award(2018): Shengchuan Zhang (Advisor:X.-B. Gao). Face Sketch Synthesis Based on Sparse Representation and Greedy Search. 2016.04

  6. CSIG Best Ph.D. Thesis Award(2018): Di Wang (Advisor:X.-B. Gao). Hashing Algorithms for Multimedia Nearest Neighbor Search. 2016.05

  7. CSIG Best Ph.D. Thesis Award(2018): Chunlei Peng (Advisor:X.-B. Gao). Probabilistic Graphical Model Based Heterogeneous Face Image Synthesis and Recognition. 2017.09

  8. CIE Best Ph.D. Thesis Award(2018): Chunlei Peng (Advisor:X.-B. Gao). Probabilistic Graphical Model Based Heterogeneous Face Image Synthesis and Recognition. 2017.09

  9. CESE Best Ph.D. Thesis Mentioned Award(2018): Chunlei Peng (Advisor:X.-B. Gao). Probabilistic Graphical Model Based Heterogeneous Face Image Synthesis and Recognition. 2017.09

  10. CSIG Best Ph.D. Thesis Award(2019): Mingjin Zhang (Advisor:Jie Li, X.-B. Gao). Fast Synthesis Methods and Style Classification Algorithms for Face Sketch. 2017.03

  11. CESE Best Ph.D. Thesis Award(2020): Lin Qi (Advisor:J. Li, X.-B. Gao).Unmixing Algorithms for Hyperspectral Images based on Spectral priori and Collaborative Learning. 2019.12

  12. Shaanxi ProvincialBest Ph.D. Thesis Award(2020): Chunlei Peng (Advisor:X.-B. Gao). Probabilistic Graphical Model Based Heterogeneous Face Image Synthesis and Recognition. 2017.09

[top]

JOURNAL ARTICLES

Impact Factor2021 Impact Factor2021
IEEE Trans. Pattern Analysis and Machine Intelligence:16.389 IEEE Transactions on Systems Man Cybernetics-Systems:13.451
IEEE Trans. Neural Networks and Learning Systems:10.451 IEEE Trans. Cybernetics:11.448
IEEE Trans. Image Processing:10.8567 IEEE Trans. Information Forensics and Security:7.178
IEEE Trans. Geoscience and Remote Sensing:5.630 IEEE Trans. Multimedia:6.513
IEEE Trans. Circuits and Systems for Video Technology:4.685 ACM Trans. on Intelligent Systems and Technology:4.654
IEEE Trans. Information Technology in Biomedicine:1.978 IEEE Trans. on Aerospace and Electronic Systems:4.102
International Journal of Computer Vision:7.410 IEEE Multimedia:5.633
IEEE Signal Processing Letters:3.109 Information Science:6.795
International Journal of Fuzzy Systems:4.673 Pattern Recognition:7.740
Computer Vision and Image Understanding:3.876 Theoretical Computer Science:0.827

��

  1. Wei Xia, Quanxue Gao, Qianqian Wang, Xinbo Gao, Chirs Ding, Dacheng Tao.Tensorized Bipartite Graph Learning for Multi-View Clustering.IEEE Transactions on Pattern Analysis and Machine Intelligence(IEEE TPAMI), Vol.45, No.4, pp.5187-5202, 2023. DOI: 10.1109/TPAMI.2022.3187976

  2. Yuanfei Huang, Jie Li, Yanting Hu, Xinbo Gao and Hua Huang. Transitional Learning: Exploring the Transition States of Degradation for Blind Super-Resolution.IEEE Transactions on Pattern Analysis and Machine Intelligence(IEEE TPAMI), Vol.45, No.5, pp.6495-6510, 2023, doi: 10.1109/TPAMI.2022.3206870.

  3. Zhenwei He, Lei Zhang, Xinbo Gao, David Zhang. Multi-adversarial Faster-RCNN with Paradigm Teacher for Unrestricted Object Detection.International Journal of Computer Vision(IJCV), 2023.

  4. Jingwei Xin, Nannan Wang, Xinrui Jiang, Jie Li, Xinbo Gao. Advanced Binary Neural Network for Single Image Super Resolution.International Journal of Computer Vision(IJCV), Vol.131, pp.1808-1824, 2023. DOI: https://doi.org/10.1007/s11263-023-01789-8

  5. Mingjin Zhang, Qianqian Wu, Jing Zhang, Xinbo Gao, Jie Guo and Dacheng Tao. Fluid Micelle Network for Image Super-Resolution Reconstruction.IEEE Transactions on Cybernetics(IEEE TCyb), Vol.53, No.1, pp.578-591, 2023. doi: 10.1109/TCYB.2022.3163294.

  6. Ji Gan, Yuyan Chen, Bo Hu, Jiaxu Leng*, Weiqiang Wang, Xinbo Gao*. Characters as Graphs: Interpretable Handwritten Chinese Character Recognition via Pyramid Graph Transformer.Pattern Recognition, Vol.137, pp.109317, 2023.

  7. Wangbo Yu, Mingrui Zhu, Nannan Wang, Xiaoyu Wang, and Xinbo Gao. An Efficient Transformer Based on Global and Local Self-Attention for Face Photo-Sketch Synthesis.IEEE Trans. on Image Processing(IEEE TIP), Vol.32, pp.483-495. Digital Object Identifier: 10.1109/TIP.2022.3229614

  8. Lin Qi, Zhenwei Chen, Feng Gao, Junyu Dong, Xinbo Gao, Qian Du. Multiview Spatial-Spectral Two-Stream Network for Hyperspectral Image Unmixing.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.61, pp.5502016, 2023

  9. Xiuli Bi, Yixuan Shang, Bo Liu, Bin Xiao, Weisheng Li and Xinbo Gao. A Versatile Detection Method for Various Contrast Enhancement Manipulations.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.33, No.2, pp.491-504, 2023. doi: 10.1109/TCSVT.2022.3204789.

  10. Jiaojiao Li, Chaixiong Wu, Rui Song, Yunsong Li, Weiying Xie, Lihuo He, Xinbo Gao. Deep Hybrid 2-D-3-D CNN Based on Dual Second-Order Attention With Camera Spectral Sensitivity Prior for Spectral Super-Resolution.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.34,No.2, pp.623-634, 2023. doi: 10.1109/TNNLS.2021.3098767

  11. Yongxin Zhu, Yongfu Li, Hao Zhu, Wei Hua, Gang Huang, Shuyou Yu, Shengbo Eben Li, Xinbo Gao. Joint Sliding-Mode Controller and Observer for Vehicle Platoon Subject to Disturbance and Acceleration Failure of Neighboring Vehicles.IEEE Transactions on Intelligent Vehicles(IEEE TIV), Vol.8, No.3, pp.2345-2357, 2023.

  12. Mingjin Zhang, Rui Zhang, Jing Zhang, Jie Guo, Yunsun Li, Xinbo Gao. Dim2Clear Network for Infrared Small Target Detection.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.61, pp.5001714, 2023.

  13. Kaibing Zhang, Cheng Yuan, Jie Li, Xinbo Gao, and Minqi Li. Multi-Branch and Progressive Network for Low-Light Image Enhancement.IEEE Transaction on Image Processing(IEEE TIP), Vol.32, pp.2295-2308, 2023.

  14. Huafeng Qin, Changqing Gong, Yantao Li, Xinbo Gao, and Mounim A. El-Yacoubi. Label Enhancement-Based Multiscale Transformer for Palm-Vein Recognition.IEEE Transactions on Instrumentation Measurement(IEEE TIM), Vol.72, pp.2509217, 2023.

  15. Shuyin Xia, Shaoyuan Zheng, Guoyin Wang, Xinbo Gao, and Binggui Wang. Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.34, No.4, pp.2144-2155, 2023.

  16. Wei Xia, Tianxiu Wang, Quanxue Gao, Ming Yang and Xinbo Gao. Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering.IEEE Transactions on Image Processing(IEEE TIP), Vol. 32, pp. 1170-1183, 2023, doi: 10.1109/TIP.2023.3240863.

  17. Junchao Fan, SHizhan Tang, Han Duan, Xiuli Bi, Bin Xiao, Weisheng Li, Xinbo Gao. Le-LWTNet: A Learnable Lifting Wavelet Convolutional Neural Network for Heart Sound Abnormality Detection.IEEE Transactions on Instrumentation and Measurement(IEEE TIM), Vol. 72, pp. 1-14, 2023, Art no. 6501314, doi: 10.1109/TIM.2023.3246513.

  18. Zhaolong Ning, Yuxuan Yang, Xiaojie Wang, Lei Guo, Xinbo Gao, Song Guo, Guoyin Wang. Dynamic Computation Offloading and Server Deployment for UAV-Enabled Multi-Access Edge Computing.IEEE Transactions on Mobile Computing(IEEE TMC), Vol.22, No.5, pp.2628-2644, 2023.

  19. Jiaxu Leng, Mengjingcheng Mo, Yinghua Zhou, Chenqiang Gao, Weisheng Li and Xinbo Gao. Pareto Refocusing for Drone-view Object Detection.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.33, No.3, pp.1320-1334, 2023. doi: 10.1109/TCSVT.2022.3210207.

  20. Lihong Qiao, Yonghao Gao, Bin Xiao, Xiuli Bi, Weisheng Li, and Xinbo Gao. HS-Vectors: Heart Sound Embeddings for Abnormal Heart Sound Detection Based on Time-Compressed and Frequency-Expanded TDNN With Dynamic Mask Encoder.IEEE Journal of Biomedical and Health Informatics(IEEE JBHI), Vol. 27, No. 3, pp.1364-1374, March 1, 2023.

  21. Xiuli Bi, Jinwu Hu, Bin Xiao, Weisheng Li, Xinbo Gao. IEMask R-CNN: Information-enhanced Mask R-CNN.IEEE Transactions on Big Data(IEEE TBD), Vol.9, No.2, pp.688-700, 2023.

  22. Lihong Qiao, Zehua Wang, Bin Xiao, Yucheng Shu, Xiao Luan, Yuhang Shi, Weisheng Li, and Xinbo Gao. Spectral Unmixing Successive Variational Mode Decomposition for Robust Vital Signs Detection Using UWB Radar.IEEE Transactions on Instrumentation and Measurement(IEEE TIM), Vol.72, pp.8502813, 2023, Art no. 8502813, doi: 10.1109/TIM.2023.3274171.

  23. Yang Liu, Xinbo Gao, Jungong Han, and Ling Shao. A Discriminative Cross-Aligned Variational Autoencoder for Zero-Shot Learning.IEEE Transactions on Cybernetics(IEEE TCyb), Vol.53, No.6, pp.3794-3805. 2023. doi: 10.1109/TCYB.2022.3164142.

  24. Bing Cao, Zhiwei Bi, Qinghua Hu, Han Zhang, Nannan Wang, Xinbo Gao, Dinggang Shen. AutoEncoder-Driven Multimodal Collaborative Learning for Medical Image Synthesis.International Journal of Computer Vision(IJCV), 2023. https://doi.org/10.1007/s11263-023-01791-0

  25. Zhiling Guo, Jingwei Xin, Nannan Wang, Jie Li, Xiaoyu Wang, and Xinbo Gao. Unsupervised Across Domain Consistency-Difference Network for Hyperspectral Image Super-Resolution.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.61, pp.5511613, 2023.

  26. Tan Guo, Ruizhi Wang, Fulin Luo, Xiuwen Gong, Lei Zhang, and Xinbo Gao. Dual-View Spectral and Global Spatial Feature Fusion Network for Hyperspectral Image Classification.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.61, pp.5512913, 2023.

  27. Huafeng Qin, Rongshan Hu, Mounim A. El-Yacoubi, Yantao Li and Xinbo Gao. Local Attention Transformer-Based Full-View Finger-Vein Identification.IEEE Transactions on Circuits and Systems for Video Technology(IEEETCSVT), Vol. 33, No. 6, pp. 2767-2782, June 2023, doi: 10.1109/TCSVT.2022.3227385.

  28. Lin Qi, Xuewen Qin, Feng Gao, Junyu Dong and Xinbo Gao. SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images.IEEE Geoscience and Remote Sensing Letters(IEEE GRSL), Vol. 20, pp. 1-5, 2023, Art no. 5505205, doi: 10.1109/LGRS.2023.3270183.

  29. Wenli Song, Lei Zhang and Xinbo Gao. Compound Projection Learning for Bridging Seen and Unseen Objects.IEEE Transactions on Multimedia(IEEE TMM), Vol. 25, pp. 2127-2139, 2023, doi: 10.1109/TMM.2022.3142958.

  30. Shikun Mei, Wenhui Zhao, Quanxue Gao, Ming Yang, Xinbo Gao. Joint Feature Selection and Optimal Bipartite Graph Learning for Subspace Clustering.Neural Networks, Vol.164, pp.408-418,2023.

  31. Yu Yun, Jing Li, Quanxue Gao, Ming Yang, Xinbo Gao. Low-rank Discrete Multi-view Spectral Clustering.Neural Networks, Vol.166, pp.137-147, 2023.

  32. Liangchen Liu, Xi Yang, Nannan Wang and Xinbo Gao. Frequency Information Disentanglement Network for Video-Based Person Re-Identification. IEEE Transactions on Image Processing(IEEE TIP), vol. 32, pp.4287-4298, 2023, doi: 10.1109/TIP.2023.3296901.

  33. Shuyin Xia, Xinyu Bai, Guoyin Wang, Yunlong Cheng, Deyu Meng, Xinbo Gao, Yujia Zhai, Elisabeth Giem. An Efficient and Accurate Rough Set for Feature Selection, Classification, and Knowledge Representation.IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), Vol.35, No.8, pp.7724-7735, August 1, 2023.

  34. Decheng Liu, Zhan Dang, CHunlei Peng, Yu Zheng, Shuang Li, Nannan Wang, Xinbo Gao. FedForgery: Generalized Face Forgery Detection With Residual Federated Learning.IEEE Transactions on Information Forensics and Security(IEEE TIFS), vol.18, pp 4272-4284, 2023, doi: 10.1109/TIFS.2023.3293951.

  35. De Cheng, Gerong Wang, Nannan Wang, Dingwen Zhang, Qiang Zhang and Xinbo Gao. Discriminative and Robust Attribute Alignment for Zero-Shot Learning.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.33, No.8, pp.4244-4256, 2023. doi: 10.1109/TCSVT.2023.3243205.

  36. Fukun Jiang, Guanya Li, Weibin Ji, Yaqi Zhang, Feifei Wu, Yang Hu, Wenchao Zhang, Peter Manza, Dardo Tomasi, Nora D. Volkow, Xinbo Gao, Gene-Jack Wang*, Yi Zhang. Obesity Is Associated with Decreased Gray Matter Volume in Children: A Longitudinal Study.Cerebral Cortex, Cerebral Cortex, Vol.33, No.7, pp.3674�C3682, 2023. https://doi.org/10.1093/cercor/bhac300

  37. Jianqi Cui, Guanya Li, Minmin Zhang, Jiayu Xu, Haowen Qi, Weibin Ji, Feifei Wu, Yaqi Zhang, Fukun Jiang, Yang Hu, Wenchao Zhang, Xiaorong Wei, Peter Manza, Nora D Volkow, Xinbo Gao*, Gene-Jack Wang*, Yi Zhang*. Associations between body mass index, sleep-disordered breathing, brain structure, and behavior in healthy children.Cerebral Cortex, bhad267, https://doi.org/10.1093/cercor/bhad267, 29 July 2023

  38. Ziqi Ren,Jie Li,Xuetong Xue,Xin Li,Fan Yang, Zhicheng Jiao,Xinbo Gao*. Reconstructing controllable faces from brain activity with hierarchical multiview representations.Neural Networks, Vol.166, pp.487-500. https://doi.org/10.1016/j.neunet.2023.07.016

  39. Jiachen Yang, Yanshuang Zhou, Yang Zhao, Wen Lu and Xinbo Gao. MetaMP: Metalearning-Based Multipatch Image Aesthetics Assessment.IEEE Transactions on Cybernetics(IEEE TCyb), Vol. 53, No. 9, pp. 5716-5728, Sept. 2023, doi: 10.1109/TCYB.2022.3169017

  40. Mingrui Zhu, Zicheng Wu, Nannan Wang, Heng Yang and Xinbo Gao. Dual Conditional Normalization Pyramid Network for Face Photo-Sketch Synthesis.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.33, No.9, pp.5200-5211, 2023. doi: 10.1109/TCSVT.2023.3253773

  41. Lihong Qiao, Shuai Hu, Bin Xiao, Xiuli Bi, Weisheng Li and Xin Gao. A Dual Self-calibrating Framework for Non-invasive Fetal ECG R-peak Detection.IEEE Internet of Things Journal(IEEE IoTJ), Vol.10, N0.18, pp.16579-16593, 2023. doi: 10.1109/JIOT.2023.3269096

  42. Shuyin Xia, Shaoyun Zheng, Guoyin Wang, Xinbo Gao and Binggui Wang. Granular Ball Sampling for Noisy Label Classification or Imbalanced Classification.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.34, No.4, pp.2144-2155, 2023. doi: 10.1109/TNNLS.2021.3105984

  43. Xiaojie Wang, Zhaolong Ning, Lei Guo, Song Guo, Xinbo Gao, Guoyin Wang. Mean-Field Learning for Edge Computing in Mobile Blockchain Networks.IEEE Transactions on Mobile Computing(IEEE TMC), Vol.22, No.10, pp.5978-5994, 2023

  44. Shuyin Xia, Shulin Wu, Xinxing Chen, Guoyin Wang, Xinbo Gao, Qinghua Zhang, Elisabeth Giem, Zizhong Chen. GRRS: Accurate and Efficient Neighborhood Rough Set for Feature Selection.IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), Vol.35, No.9, pp.9281-9294, September 1, 2023

  45. Qian Zhou, Quanxue Gao, Qianqian Wang, Ming Yang, Xinbo Gao. Sparse Discriminant PCA Based on Contrastive Learning and Class-specificity Distribution.Neural Networks, Vol.167, pp.775-786, October 2023

  46. Jiang Xie, Weiyu Kong, Shuyin Xia, Guoyin Wang and Xinbo Gao. An Efficient Spectral Clustering Algorithm Based on Granular-Ball.IEEE Transactions on Knowledge and Data Engineering(IEEE TKDE), Vo.35, No.9, pp.9743-9753, 2023. doi: 10.1109/TKDE.2023.3249475

  47. Huanyu Chen, Weisheng Li, Xinbo Gao and Bin Xiao. Novel Multi-feature Fusion Facial Aesthetic Analysis Framework.IEEE Transactions on Big Data(IEEE TBD), Vol.9, No.5, pp.1302-1320, 2023. doi: 10.1109/TBDATA.2023.3255582, 2023

  48. Ying Yu, Xi Yang, Jie Li and Xinbo Gao*. Task-Specific Heterogeneous Network for Object Detection in Aerial Images.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol. 61, pp. 1-15, 2023, Art no. 5620315, doi: 10.1109/TGRS.2023.3311966

  49. Zhuoqi Ma, Tianwei Lin, Xin Li, Fu Li, Dongliang He, Errui Ding, Nannan Wang, Xinbo Gao. Dual-Affinity Style Embedding Network for Semantic-Aligned Image Style Transfer.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), 2023. DOI: 10.1109/TNNLS.2022.3143356

  50. Lei Zhang, Zhenwei He, Yi Yang, Liang Wang, Xinbo Gao. Tasks Integrated Networks: Joint Detection and Retrieval for Image Search.IEEE Trans. on Pattern Recognition and Machine Intelligence(IEEE TPAMI), Vol.44, No.1, pp.456-473, 2022.

  51. Xi Yang, Jingyi Zhao, Ziyu Wei, Nannan Wang, Xinbo Gao*. SAR-to-optical image translation based on improved CGAN.Pattern Recognition, Vol.121, pp.108208, 2022. doi.org/10.1016/j.patcog.2021.108208

  52. Yi Hao, Jie Li, Nannan Wang, Xiaoyu Wang, Xinbo Gao. Spatiotemporal consistency-enhanced network for video anomaly detection.Pattern Recognition, Vol.121, pp.108232, 2022. https://doi.org/10.1016/j.patcog.2021.108232

  53. Yang Liu, Xinbo Gao, Jungong Han, Li Liu, Ling Shao. Zero-shot Learning via a Specific Rank-controlled Semantic Autoencoder.Pattern Recognition, Vol.122, pp.108237, 2022.

  54. Ying Yu, Xi Yang , Jie Li, and Xinbo Gao*. A Cascade Rotated Anchor-Aided Detector for Ship Detection in Remote Sensing Images.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.60, pp.5600514, 2022.

  55. Yidong Peng, Weisheng Li, Xiaobo Luo, Jiao Du, Xiayan Zhang, Yi Gan, Xinbo Gao. Spatiotemporal Reflectance Fusion via Tensor Sparse Representation.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.60, pp.5608318, 2022. doi: 10.1109/TGRS.2021.3091157.

  56. Wei Xia, Sen Wang, Ming Yang, Quanxue Gao, Jungong Han, Xinbo Gao. Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation.Neural Networks, Vol.145, pp.1-9, 2022. DOI: 10.1016/j.neunet.2021.10.006.

  57. Zhenxi Zhang, Chunna Tian, Xinbo Gao, Jie Li, Zhicheng Jiao, Cui Wang, Zhusi Zhong. Collaborative boundary-aware context encoding networks for error map prediction.Pattern Recognition, Vol.125, pp.108515, May 2022.

  58. Xiaojie Wang, Zhaolong Ning, Lei Guo, Song Guo, Xinbo Gao, and Guoyin Wang. Online Learning for Distributed Computation Offloading in Wireless Powered Mobile Edge Computing Networks.IEEE Transactions on Parallel and Distributed Systems(IEEE TPDS), Vol.33, No.8, pp.1841-1855, August 1, 2022.

  59. Bing Cao, Nannan Wang, Jie Li, QInghua Hu, Xinbo Gao*. Face photo-sketch synthesis via full-scale identity supervision.Pattern Recognition, Vol.124, pp.108446, April 2022.

  60. Yucheng Shu, Zhenlong Liao, Bin Xiao, Weisheng Li, Xinbo Gao. Registration-Is-Evaluation: Robust Point Set Matching With Multigranular Prior Assessment.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.60, pp.4701414, 2022. DOI: 10.1109/TGRS.2021.3071550

  61. Jingwei Xin, Jie Li, Xinrui Jiang, Nannan Wang*, Heng Huang, Xinbo Gao*. Wavelet-based Dual Recursive Network for Image Super-Resolution.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.33. No.2, pp.707-720, 2022.

  62. Mingrui Zhu, Jie Li, Nannan Wang*, Xinbo Gao*. Knowledge Distillation for Face Photo-Sketch Synthesis.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.33, No.2, pp.893-906, 2022.

  63. Haizhou Yang, Quanxue Gao, Wei Xia, Ming Ynag, Xinbo Gao. Multiview Spectral Clustering With Bipartite Graph.IEEE Trans. on Image Processing(IEEE TIP), Vol.31, pp.3591-3605, 2022.

  64. Xi Yang, Yan Wang, Nannan Wang, Xinbo Gao*. An Enhanced SiamMask Network for Coastal Ship Tracking.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.60, pp.5612011, 2022.

  65. Jiaxu Leng, Ying Liu, Zhihui Wang, Haibo Hu and Xinbo Gao. CrossNet: Detecting Objects as Crosses.IEEE Transactions on Multimedia(IEEE TMM), Vol.24, pp.861-875, 2022. doi: 10.1109/TMM.2021.3060278.

  66. Laisen Nie, Yixuan Wu, Xiaojie Wang, Lei Guo, Guoyin Wang, Xinbo Gao, Shengtao Li. Intrusion Detection for Secure Social Internet of Things Based on Collaborative Edge Computing: A Generative Adversarial Network-Based Approach.IEEE Transactions on Computational Social Systems(IEEE TCSS), Vol.9, No.1, pp.134-145, 2022.

  67. Yukai Wang, Chunlei Peng, Decheng Liu, Nannan Wang,and Xinbo Gao. ForgeryNIR: Deep Face Forgery and Detection in Near-Infrared Scenario.IEEE Transactions on Information Forensics and Security(IEEE TIFS), Vol.17, pp.500-515, 2022. DOI: 10.1109/TIFS.2022.3146766

  68. Dandan Ding, Wenyu Wang, Junchao Tong, Xinbo Gao, Zoe Liu and Yong Fang*. Biprediction-Based Video Quality Enhancement via Learning.IEEE Transactions on Cybernetics(IEEE TCyb), Vol.52, No.2, pp.1207-1220, 2022. doi: 10.1109/TCYB.2020. 2998481.

  69. Xi Yang, Xin Zhang, Nannan Wang, Xinbo Gao*. A Robust One-Stage Detector for Multiscale Ship Detection with Complex Background in Massive SAR Images.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.60, pp.5217712, 2022.

  70. Xi Yang, Xiaoqi Wang, Nannan Wang, Xinbo Gao. SRDN: A Unified Super-Resolution and Motion Deblurring Network for Space Image Restoration.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol. 60, pp.5614411, 2022.

  71. Lin Qi, Feng Gao, Junyu Dong, Xinbo Gao, Qian Du. SSCU-Net: Spatial-Spectral Collaborative Unmixing Network for Hyperspectral Images.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.60, pp.5407515, 2022.

  72. Yue Zhao, Lingming Zhang, Yang Liu, Deyu Meng, Zhiming Cui, CHenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen. Two-Stream Graph Convolutional Network for Intra-oral Scanner Image Segmentation.IEEE Transactions on Medical Imaging(IEEE TMI), Vol.41, No.4, pp.826-835, 2022.

  73. Kyohoon Sim, Jiachen Yang, Wen Lu and Xinbo Gao. Blind Stereoscopic Image Quality Evaluator based on Binocular Semantic and Quality Channels.IEEE Transactions on Multimedia(IEEE TMM), Vol.24, pp.1389-1398, 2022. doi: 10.1109/TMM.2021.3064240.

  74. Hao Luo, Kaibing Zhang, Shuang Luo, Jie Li and Xinbo Gao. Locality-Adaptive Structured Dictionary Learning for Cross-Domain Recognition.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.32, No.4, pp.2425-2440, 2022. doi: 10.1109/TCSVT.2021.3087486.

  75. Yanting Hu, Jie Li, Yuanfei Huang and Xinbo Gao*. Image super-resolution with self-similarity prior guided network and sample-discriminating learning.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.32, No.4, pp.1966-1986, 2022. doi: 10.1109/TCSVT.2021.3093483.

  76. Feiyan Li, Weisheng Li, Xinbo Gao, BIn XIao. A Novel Framework with Weighted Decision Map Based on Convolutional Neural Network for Cardiac MR Segmentation.IEEE Journal of Biomedical and Health Informatics(IEEE JBHI), Vol.26, No.5, pp.2228-2239, 2022.

  77. Xiuli Bi, Chao Shuai, Bo Liu, Bin Xiao, Weisheng Li, and Xinbo Gao. Privacy-Preserving Color Image Feature Extraction by Quaternion Discrete Orthogonal Moments.IEEE Trans. on Information Forensics and Security(IEEE TIFS), Vol.17, pp.1655-1668, 2022.

  78. De Cheng, Jingyu Zhou, Nannan Wang, and Xinbo Gao. Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id.IEEE Trans. on Image Processing(IEEE TIP), Vol.31, pp.3334-3346, 2022.

  79. Guofen Wang, Weisheng Li, Xinbo Gao, Bin Xiao , and Jiao Du. Functional and Anatomical Image Fusion Based on Gradient Enhanced Decomposition Model.IEEE Trans. on Instrumentation Measurement(IEEE TIM), Vol.71, pp.2508714, 2022.

  80. Jiachen Yang , Yang Zhao, Jiacheng Liu, Bin Jiang, Qinggang Meng, Wen Lu, and Xinbo Gao. No Reference Quality Assessment for Screen Content Images Using Stacked Autoencoders in Pictorial and Textual Regions.IEEE Trans. on Cybernetics(IEEE TCyb), Vol.52, No.5, pp.2798-2810, 2022.

  81. Qingyan Duan, Lei Zhang, Xinbo Gao. Simultaneous Face Completion and Frontalization via Mask Guided Two-Stage GAN.IEEE Trans. on Circuits and Systems for Video Technology(IEEE TCSVT), Vol. 32, No. 6, pp. 3761-3773, June 2022, doi: 10.1109/TCSVT.2021.3111648.

  82. Ying Yu, Xi Yang, Jie Li and Xinbo Gao. Object Detection for Aerial Images With Feature Enhancement and Soft Label Assignment.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol. 60, pp. 1-16, 2022, Art no. 5624216, doi: 10.1109/TGRS.2022.3177255.

  83. Jiachen Yang, Shuai Xiao, Aiyun Li, Wen Lu, Xinbo Gao, Yang Li. MSTA-Net: Forgery Detection by Generating Manipulation Trace Based on Multi-scale Self-texture Attention.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.32, No.7, pp.4854-4866, 2022.

  84. Shuyin Xia, Baiyun Chen, Guoyin Wang, Yong Zheng, Xinbo Gao, Elisabeth Giem, Zhizhong Chen. mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.33, No.7, pp.2916-2930, 2022. DOI: 10.1109/TNNLS.2020.3047046

  85. Xinpeng Ding, Nannan Wang, Shiwei Zhang, Ziyuan Huang, Xiaomeng Li, Mingqian Tang, Tongliang Liu, Xinbo Gao. Exploring Language Hierarchy for Video Grounding.IEEE Transactions on Image Processing(IEEE TIP), vol. 31, pp. 4693-4706, 2022, doi: 10.1109/TIP.2022.3187288.

  86. Hanyu Li, Nannan Wang, Xi Yang and Xinbo Gao. CRS-CONT: A Well-Trained General Encoder for Facial Expression Analysis.IEEE Transactions on Image Processing(IEEE TIP), vol. 31, pp. 4637-4650, 2022, doi: 10.1109/TIP.2022.3186536.

  87. Dawei Zhou, Nannan Wang, Chunlei Peng, Yi Yu, Xi Yang and Xinbo Gao. Towards Multi-Domain Face Synthesis Via Domain-Invariant Representations and Multi-Level Feature Parts.IEEE Transactions on Multimedia(IEEE TMM), vol. 24, pp. 3469-3479, 2022, doi: 10.1109/TMM.2021.3099297.

  88. Zhaori Gong, Nannan Wang, De Cheng, Xinrui Jiang, Jingwei Xin, Xi Yang, Xinbo Gao. Learning Deep Resonant Prior for Hyperspectral Image Super-Resolution.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol. 60, pp. 1-14, 2022, Art no. 5532414, doi: 10.1109/TGRS.2022.3185647.

  89. Zhenwei He, Lei Zhang, XI Yang, Xinbo Gao. Partial Alignment for Object Detection in the Wild.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.32, No.8, pp.5238-5251, 2022.

  90. Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Yuxuan Ding and Xinbo Gao. Seeking Subjectivity in Visual Emotion Distribution Learning.IEEE Transactions on Image Processing(IEEE TIP), Vol.31, pp.5189-5202, 2022, doi: 10.1109/TIP.2022.3193749.

  91. Congyu Zhang, Decheng Liu, Chunlei Peng, Nannan Wang and Xinbo Gao. Edge Aware Domain Transformation for Face Sketch Synthesis.IEEE Transactions on Information Forensics and Security(IEEE TIFS), Vol.17, pp.2761-2770, 2022, doi: 10.1109/TIFS.2022.3195383.

  92. Di Wang, Songwei Han, Quan Wang, Lihuo He, Yumin Tian, Xinbo Gao. Pseudo-Label Guided Collective Matrix Factorization for Multiview Clustering.IEEE Trans. on Cybernetics(IEEE TCyb), Vol.52, No.9, pp.8681-8691, 2022. DOI: 10.1109/TCYB.2021.3051182

  93. Wei Xia, Xiangdong. Zhang, Quanxue Gao, Xiaochuang Shu, Jungong Han and Xinbo Gao. Multiview Subspace Clustering by an Enhanced Tensor Nuclear Norm.IEEE Transactions on Cybernetics(IEEE TCyb), Vol.52, No.9, pp.8962-8975, 2022. doi: 10.1109/TCYB.2021.3052352.

  94. Ziyu Wei, Xi Yang, Nannan Wang, Xinbo Gao. RBDF: Reciprocal Bidirectional Framework for Visible Infrared Person Reidentification.IEEE Trans. on Cybernetics(IEEE TCyb), 2022. DOI10.1109/TCYB.2022.3183395

  95. Xin Zhang, Xi Yang, Dong Yang, Fang Wang, and Xinbo Gao. A Universal Ship Detection Method With Domain-Invariant Representations.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS),Vol.60, pp.5629311, 2022.

  96. Wei Xia, Qianqian Wang, Quanxue Gao, Xiangdong Zhang and Xinbo Gao. Self-supervised Graph Convolutional Network for Multi-view Clustering.IEEE Transactions on Multimedia(IEEE TMM), Vol.24, pp.3182-3192, 2022. doi: 10.1109/TMM.2021.3094296.2021.

  97. Yan Gao, Haojun Xu, Yu Zheng, Jie Li, Xinbo Gao. An Object Point Set Inductive Tracker for Multi-Object Tracking and Segmentation.IEEE Transactions on Image Processing(IEEE TIP), Vol.31, pp.6083-6096, 2022.

  98. Ji Gan, Weiqiang Wang, Jiaxu Leng, and Xinbo Gao. 2022. HiGAN+: Handwriting Imitation GAN with Disentangled Representations.ACM Trans. Graph. 42, 1, Article 11 (September 2022), 17 pages. https://doi.org/10.1145/3550070

  99. Ziyu Wei, Xi Yang, Nannan Wang, Xinbo Gao. Flexible Body Partition-Based Adversarial Learning for Visible Infrared Person Re-Identification.IEEE Transactions on Neural Networks and Learning Systems
    (IEEE TNNLS)    , Vol.33, No.9, pp.4676-4687, 2022. DOI: 10.1109/TNNLS.2021.3059713.

  100. Guofen Wang, Weisheng Li, Jiao Du, Bin Xiao, Xinbo Gao. Decomposition Model of Hybrid Variation-sparse Representation for Medical Image Fusion and Denoising.IEEE Journal of Biomedical and Health Informatics(IEEE JBHI), Vol.26, No.11, pp.5584-5595, 2022, doi: 10.1109/JBHI.2022.3196710.

  101. Yaqi Zhang, Weibin Ji, Fukun Jiang, Feifei Wu, Guanya Li, Yang Hu, Wenchao Zhang, Jia Wang, Xiao Fan, Xiaorong Wei, Peter Manza, Dardo Tomasi, Nora D. Volkow, Xinbo Gao*, Gene-Jack Wang*, Yi Zhang*. Associations among Body Mass Index, Working Memory Performance, Gray Matter Volume, and Brain Activation in Healthy Children.Cerebral Cortex, 2022, 1-10.

  102. Zhiling Guo, Jingwei Xin, Nannan Wang, Jie Li and Xinbo Gao. External-internal Attention for Hyperspectral Image Super-Resolution.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.60, pp.5538714, 2022, doi: 10.1109/TGRS.2022.3207230.

  103. Decheng Liu, Xinbo Gao*, Chunlei Peng, Nannan Wang*, Jie Li. Heterogeneous Face Interpretable Disentangled Representation for Joint Face Recognition and Synthesis.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.3,3, No.10, pp.5611-5625, 2022. DOI: 10.1109/TNNLS.2021.3071119

  104. Fuqiang Huang, Lei Zhang, Xinbo Gao. Domain Adaptation Preconceived Hashing for Unconstrained Visual Retrieval.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.33, No.10, pp.5641-5655, 2022. DOI: 10.1109/TNNLS.2021.3071127

  105. Yingzhi Tang, Xi Yang, Xinrui Jiang, Nannan Wang and Xinbo Gao. Dually Distribution Pulling Network for Cross-Resolution Person Reidentification.IEEE Transactions on Cybernetics(IEEE TCyb), Vol.52, No.11, pp.12016-12026, 2022. doi: 10.1109/TCYB.2021.3077500. 2021

  106. Lihong Qiao, Xin Li, Bin Xiao, Mi He, Xiuli Bi, Weisheng Li, and Xinbo Gao. Learning-Refined Integral Null Space Pursuit Algorithm for Noncontact Multisubjects Vital Signs Measurements Using SFCW-UWB and IR-UWB Radar.IEEE Transactions on Instrumentation and Measurement(IEEE TIM), Vol.71, pp.8506013, 2022.

  107. XiaojieWang, Laisen Nie, Zhaolong Ning, Lei Guo, GuoyinWang, Xinbo Gao, and Neeraj Kumar. 2022. Deep Learning-Based Network Traffic Prediction for Secure Backbone Networks in Internet of Vehicles.ACM Trans. Internet Technol.(ACM TIT),Vol. 22, No.4, Article 87 (November 2022), 20 pages. https://doi.org/10.1145/3433548

  108. Guofen Wang, Weisheng Li, Jiao Du, Bin Xiao, and Xinbo Gao. Medical Image Fusion and Denoising Algorithm Based on a Decomposition Model of Hybrid Variation-Sparse Representation.IEEE Journal of Biomedical and Health Informatics(IEEE JBHI), Vol.26, No.11, pp.5584-5595, 2022.

  109. Zhikang Wang, Lihuo He*, Xiaoguang Tu, Jian Zhao, Xinbo Gao*, Shengmei Shen, Jiashi Feng. Robust Video-based Person Re-Identification by Hierarchical Mining.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.32, No.12, pp.8179-8191, 2022. doi: 10.1109/TCSVT.2021.3076097.

  110. Yan Zhang, Xiyuan Gao, Qingyan Duan, Lin Yuan, Xinbo Gao*. DHT: Deformable Hybrid Transformer for Aerial Image Segmentation.IEEE Geoscience and Remote Sensing Letters(IEEE GRSL), Vol. 19, pp.6518805, 2022.

  111. Siyang Deng, Gang Xiang, QUanxue Gao, Wei Xia, Xinbo Gao. Zero-Shot Learning Based on Quality-Verifying Adversarial Network.IEEE Transactions on Multimedia(IEEE TMM), Vol. 24, pp. 4526-4537, 2022.

  112. Quanxue Gao, Pu Zhang, Wei Xia, Deyan Xie, Xinbo Gao, Dacheng Tao. Enhanced Tensor RPCA and Its Application.IEEE Transactions on Pattern Analysis and Machine Intelligence(IEEE TPAMI), Vol.43, No.6, pp.2133-2140, 2021.

  113. Mingrui Zhu, Jie Li, Nannan Wang, Xinbo Gao. Learning Deep Patch representation for Probabilistic Graphical Model-Based Face Sketch Synthesis.International Journal of Computer Vision(IJCV), Vol.129, No.6, pp.1820-1836, 2021.

  114. Chunlei Peng, Nannan Wang*, Jie Li, and Xinbo Gao*. Soft Semantic Representation for Cross-Domain Face Recognition.IEEE Trans. on Information Forensics and Security(IEEE TIFS), Vol.16, pp.346-360, 2021.

  115. Decheng Liu, Xinbo Gao, Nannan Wang, Chunlei Peng, Jie Li. Iterative local re-ranking with attribute guided synthesis for face sketch recognition.Pattern Recognition, Vol.109, pp.107579:1-10, 2021.

  116. Yidong Peng,Weisheng Li*, Xiaobo Luo, Jiao Du, Yi Gan, Xinbo Gao*. Integrated Fusion Framework Based on Semicoupled Sparse Tensor Factorization for Spatio-temporal-spectral Fusion of Remote Sensing images.Information Fusion, Vol.65, pp.21-36, 2021.

  117. Zheng Hui, Jie Li, Xinbo Gao, Xiumei Wang. Progressive Perception-oriented Network for Single Image Super-resolution.Information Science(INS), Vol.546, pp.769-786, 2021.

  118. Siyang Deng, Wei Xia, Quanxue Gao, Xinbo Gao. Cross-view Classification by Joint Adversarial Learning and Class-specificity Distribution.Pattern Recognition, Vol.110, pp.107633, 2021.

  119. Deyan Xie, Quanxue Gao, Siyang Deng, Xiaojun Yang, Xinbo Gao. Multiple Graphs Learning with a New Weighted Tensor Nuclear Norm.Neural Networks, Vol.133, pp.57-68, 2021.

  120. Haoyuan Guo, Xi Yang, Nannan Wang, Xinbo Gao. A CenterNet++ model for ship detection in SAR images.Pattern Recognition, Vol.112, pp.107787, 2021.

  121. Hangyu Li, Nannan Wang, Xinpeng Ding, Xi Yang, Xinbo Gao. Adaptively Learning Facial Expression Representation via C-F Labels and Distillation.IEEE Trans. on Image Processing(IEEE TIP). Vol.30, pp.2016-2028, 2021.

  122. Yuanfei Huang, Jie Li, Xinbo Gao*, Yanting Hu, and Wen Lu. Interpretable Detail-Fidelity Attention Network for Single Image Super-Resolution.IEEE Trans. on Image Processing(IEEE TIP), Vol.30, pp.2325-2339, 2021.

  123. Xiaodan Zhang, Xinbo Gao*, Wen Lu, Lihuo He, Jie Li. Beyond Vision: A Multimodal Recurrent Attention Convolutional Neural Network for Unified Image Aesthetic Prediction Tasks.IEEE Trans. on Multimedia(IEEE TMM), Vol.23, pp.611-623, 2021.

  124. Gongxu Liu, Baoguo Yu, Lu Huang, Lingfeng Shi, Xinbo Gao and Lihuo He. Human-Interactive Mapping Method for Indoor Magnetic Based on Low-Cost MARG Sensors.IEEE Trans. on Instrumentation and Measurement(IEEE TIM),Vol.70, pp.9505510, 2021.

  125. Yuanqing Li, Ke Zhang, Jingyu Wang, Xinbo Gao. A Cognitive Brain Model for Multimodal Sentiment Analysis Based on Attention Neural Networks.Neurocomputing, vol.430, pp.159-173, 2021.

  126. Lin Zhao, Jie Xu, Chen Gong, Jian Yang, Wangmeng Zuo and Xinbo Gao. Learning to Acquire the Quality of Human Pose Estimation.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.31, No.4, pp.1555-1568, April 2021.

  127. Huiling Xu, Wei Xia, Quanxue Gao, Jungong Han, Xinbo Gao. Graph Embedding Clustering: Graph Attention Auto-encoder with Cluster-specificity Distribution.Neural Networks, Vol.142, pp.221-230, 2021.

  128. Xi Yang, Liangchen Liu, Nannan Wang and Xinbo Gao. A Two-Stream Dynamic Pyramid Representation Model for Video-Based Person Re-Identification.IEEE Transactions on Image Processing(IEEE TIP), vol. 30, pp. 6266-6276, 2021.

  129. Bin Wang, Dapeng Tao, Rui Dong, Yuanyan Tang, Xinbo Gao. A Contour Co-Tracking Method for Image Pairs.IEEE Trans. on Image Processing(IEEE TIP), Vol.30, pp.5402-5412, 2021.

  130. Yang Liu, Xinbo Gao, Quanxue Gao, Jungong Han, Ling Shao. Relation-based Discriminative Cooperation Network for Zero-Shot Classification.Pattern Recognition, Vol.118, 108024:1-10, 2021.

  131. Lin Zhao, Nannan Wang, Chen Gong, Jian Yang and Xinbo Gao. Estimating Human Pose Efficiently by Parallel Pyramid Networks.IEEE Transactions on Image Processing(IEEE TIP), Vol.30, pp.6785-6800, 2021, doi: 10.1109/TIP.2021.3097836.

  132. Jiachen Yang, Zilin Bian, Jiacheng Liu, Bin Jiang, Wen Lu, Xinbo Gao, Houbing Song. No-Reference Quality Assessment for Screen Content Images Using Visual Edge Model and AdaBoosting Neural Network.IEEE Transactions on Image Processing(IEEE TIP), Vol.30, pp.6801-6814, 2021, doi: 10.1109/TIP.2021.3098245.

  133. Xinpeng Ding, Nannan Wang, Xinbo Gao, Jie Li, Xiaoyu Wang, Tongliang Liu. KFC: An Efficient Framework for Semi-Supervised Temporal Action Localization.IEEE Transactions on Image Processing(IEEE TIP), Vol.30, pp.6869-6878, 2021. DOI: 10.1109/TIP.2021.3099407

  134. Jiachen Yang, Aiyun Li, Shuai Xiao, Wen Lu, and Xinbo Gao. MTD-Net: Learning to Detect Deepfakes Images by Multi-Scale Texture Difference.IEEE Trans. on Information Forensics and Security(IEEE TIFS), Vol.16, pp.4234-4245, 2021.

  135. Xiuli Bi, Yuan Yuan, Bin Xiao, Weisheng Li, and Xinbo Gao. 2D-LCoLBP: A Learning Two-Dimensional Co-Occurrence Local Binary Pattern for Image Recognition.IEEE Trans. on Image Processing(IEEE TIP), Vol.30, pp.7228-7240, 2021.

  136. Jingyuan Yang, Jie Li, Xiumei Wang, Yuxuan Ding, and Xinbo Gao. Stimuli-Aware Visual Emotion Analysis.IEEE Trans. on Image Processing(IEEE TIP), Vol.30, pp.7432-7445, 2021.

  137. Jiachen Yang, Zilin Bian, Yang Zhao, Wen Lu, Xinbo Gao. Full-Reference Quality Assessment for Screen Content Images Based on the Concept of Global-Guidance and Local-Adjustment.IEEE Transactions on Broadcasting(IEEE TBC), Vol. 67, No.3, pp.686-709, 2021.

  138. Jiachen Yang, Zilin Bian, Yang Zhao, Wen Lu and Xinbo Gao. Staged-Learning: Assessing the Quality of Screen Content Images from Distortion Information.IEEE Signal Processing Letters(IEEE SPL), Vol.28, pp.1480-1484, 2021. doi: 10.1109/LSP.2021.3091928.

  139. Xinrui Jiang, Nannan Wang, Jingwei Xinm Xiaobo Xia, Xi Yang, Xinbo Gao. Learning Lightweight Super-resolution Networks with Weight Pruning.Neural Networks, Vol.144, pp.21-32, 2021.

  140. Chao Pan, Xiuping Jia, Jie Li, Xinbo Gao*. Adaptive Edge Preserving Maps in Markov Random Fields for Hyperspectral Image Classification.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.59, No.10, pp.8568-8583, 2021.

  141. Guozhang Li, Jie Li, Nannan Wang*, XInpeng Ding, Zhifeng Li, Xinbo Gao*. Multi-Hierarchical Category Supervision for Weakly-Supervised Temporal Action Localization.IEEE Transactions on Image Processing(IEEE TIP), Vol.30, pp.9332-9344, 2021.

  142. Xi Yang, Xinbo Gao*, Bin Song, Bing Han. Hierarchical Deep Embedding for Aurora Image Retrieval.IEEE Trans. on Cybernetics(IEEE TCyb), Vol.51, No.12, pp.5773-5785, 2021.

  143. Jingyuan Yang, Xinbo Gao*, Leida Li, Xiumei Wang. SOLVER: Scene-Object Interrelated Visual Emotion Reasoning Network.IEEE Transactions on Image Processing(IEEE TIP), Vol.30, pp.8686-8701, 2021.

  144. Kyohoon Sim, Jiachen Yang, Wen Lu, Xinbo Gao. MaD-DLS: Mean and Deviation of Deep and Local Similarity for Image Quality Assessment.IEEE Transactions on Multimedia(IEEE TMM), Vol.23, pp.4037-4048, 2021.

  145. Lifang Zhou, Jun Luo, Xinbo Gao, Weisheng Li, Bangjun Leng, Jiaxu Leng. Selective Domain-invariant Feature Alignment Network for Face Anti-spoofing.IEEE Transactions on Information Forensics and Security(IEEE TIFS), Vol.16, pp.5352-5365, 2021.

    146.

  146. D. Liu, X.-B. Gao*, N. Wang, J. Li and C. Peng. Coupled Attribute Learning for Heterogeneous Face Recognition.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS),Vol.31, No.11, pp.4699-4712, 2020.

  147. J. Yang, Y. Zhao, B. Jiang, Q. Meng, W. Lu, X.-B. Gao. No-reference Quality Evaluation of Stereoscopic Videos with Inter-frame Cross on a Content-rich Database.IEEE Trans. on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.30, No.10, pp.3608-3623, 2020.

  148. D. Xie, X. Zhang, Q. Gao, J. Han, S. Xiao, X.-B. Gao. Multiview Clustering by Joint Latent Representation and Similarity Learning.IEEE Trans. on Cybernetics(IEEE TCyb), Vol.50, No.11, pp.4848-4854, 2020.

  149. J. Yang, Y. Zhao, B. Jiang, W. Lu, X.-B. Gao. No-Reference Quality Evaluation of Stereoscopic Video Based on Spatio-Temporal Texture.IEEE IEEE Trans. on Multimedia(IEEE TMM), Vol.22, No.10, pp.2535-2644, 2020.

  150. H. Guo, X. Yang, N. Wang, B. Song, and X.-B. Gao. A Rotational Libra R-CNN Method for Ship Detection.IEEE Trans. on Geoscience and Remote Sensing(IEEE TGRS), Vol.58, No.8, pp.5772-5781, 2020.

  151. Z. Sun, B. Han, J. Li, J. Zhang, X.-B. Gao*. Weighted Guided Image Filtering with Steering Kernel.IEEE Trans. on Image Processing(IEEE TIP),Vol.29, pp.500-508, 2020.

  152. Y. Zheng, J. Fan, J. Zhang, and X.-B. Gao*. Exploiting Related and Unrelated Tasks for Hierarchical Metric Learning and Image Classification.IEEE Transactions on Image Processing(IEEE TIP), Vol.29, No.1, pp.883-896, 2020.

  153. M. Zhang, Y. Li, N. Wang, C. Yuang, X.-B. Gao.Cascaded Face Sketch Synthesis under Various Illuminations.IEEE Transactions on Image Processing(IEEE TIP), Vol.29, No.1, pp.1507-1521, 2020.

  154. C. Peng, N. Wang, J. Li, X.-B.Gao*. Face Sketch Synthesis in the Wild via Deep Patch Representation based Probabilistic Graphical Model.IEEE Trans. on Information Forensics & Security(IEEE TIFS),Vol.15, No.1, pp.172-183, 2020.

  155. Y. Zhang, X.-B. Gao*, L. He, W. Lu, R. He. Objective Video Quality Assessment Combining Transfer Learning with CNN.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.31, No.8, pp.2716-2730, 2020.

  156. X. Xue, Y. Wang, J. Li, Z. Jiao, Z. Ren, and X.-B. Gao. Progressive Sub-Band Residual-Learning Network for MR Image Super Resolution.IEEE Journal of Biomedical and Health Informatics(IEEE JBHI), Vol.24, No.2, pp.377-385, 2020.

  157. W. Qiu, X.-B. Gao, B. Han. Saliency Detection via Deep Conditional Random Field Network.Pattern Recognition, Vol.103, pp.1-13, 2020.

  158. Y. Hao, J. Li, N. Wang, X.-B. Gao. Modality adversarial neural network for visible-thermal person re-identification.Pattern Recognition, Vol.107, pp.107533:1-10, 2020.

  159. X. Yang, T. Wu, N. Wang, Y. Huang, B. Song, X.-B. Gao. HCNN-PSI: A Hybrid CNN with Partial Semantic Information for Space Target Recognition.Pattern Recognition, Vol.108, pp.107531:1-12, 2020.

  160. D. Wang, Q. Wang, L. He, X.-B. Gao, Yumin Tian. Joint and Individual Matrix Factorization Hashing for Large-scale Cross-modal Retrieval.Pattern Recognition, Vol.107, pp.107479.1-12, 2020.

  161. X. Yang, X.-B. Gao. Aurora Image Search with a Saliency-Weighted Region Network.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.58, No.4, pp.2630-2643, 2020.

  162. M. Zhang, N. Wang, Y. Li, X.-B. Gao. Bionic Face Sketch Generator.IEEE Trans. on Cybernetics(IEEE TCyb), Vol.50, No.6, pp.2701-2714, 2020.

  163. Y. Tang, X. Yang, N. Wang, B. Song, and X.-B. Gao. CGAN-TM: A Novel Domain-to-Domain Transferring Method for Person Re-Identification.IEEE Transactions on Image Processing, Vol.29, pp.5641-5651, 2020.

  164. X. Yang, H. Guo, N. Wang, B. Song, and X.-B. Gao*. A Novel Symmetry Driven Siamese Network for THz Concealed Object Verification.IEEE Transactions on Image Processing, Vol.29, pp.5447-5456, 2020.

  165. Q. Wu, H. Wang, Y. Liu, L. Zhang, and X.-B. Gao. SAT: Single-Shot Adversarial Tracker.IEEE Trans. on Industrial Electronics, Vol.67, No.11, pp.9882-9892, 2020.

  166. X. Ding, N. Wang,X.-B. Gao, J. Li, X. Wang, T. Liu.Group Feedback Capsule Network.IEEE Transactions on Image Processing, vol. 29, pp. 6789-6799, 2020.

  167. B. Han, Y. Wang, Z. Yang, X.-B. Gao. Small-scale Pedestrian Detection Based on Deep Neural Network.IEEE Transactions on Intelligent Transportation Systems(IEEE TITS), Vol.21, No.7, pp.3046-3055, 2020.

  168. M. Zhang, N. Wang, Y. Li, X.-B. Gao. Neural Probabilistic Graphical Model for Face Sketch Synthesis.IEEE Trans. on Neural Networks and Learning Systems(IEEE TNNLS), Vol.31, No.7, pp.2623-2637, 2020.

  169. J. Yang, J. Man, M. Xi, X.-B. Gao, W. Lu, Qinggang Meng. Precise Measurement of Position and Attitude Based on Convolutional Neural Network and Visual Correspondence Relationship.IEEE Trans. on Neural Networks and Learning Systems(IEEE TNNLS), Vol.31, No.6, pp.2030-2041, 2020.

  170. Y. Liu, X.-B. Gao, Q. Gao, J. Han, L. Shao. Label-activating Framework for Zero-shot Learning.Neural Networks, Vol.121, pp.1-9, 2020.

  171. D. Xie, Q. Gao, Q. Wang. X. Zhang, X.-B. Gao. Adaptive Latent Similarity Learning for Multi-view Clustering.Neural Networks, Vol.121, pp.409-418, 2020.

  172. Z. Ma, J. Li, N. Wang, X.-B. Gao. Image Style Transfer with Collection Representation Space and Semantic-guided Reconstruction.Neural Networks, Vol.129, pp.123-137, September 2020.

  173. L. Qi, J. Li, Y. Wang, Y. Huang, X.-B. Gao. Spectral-Spatial-Weighted Multiview Collaborative Sparse Unmixing for Hyperspectral Images.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.58, No.12, pp.8766-8779, 2020.

  174. L. Qi, J. Li, Y. Wang, X.-B. Gao. Urban Observation: Integration of Remote Sensing and Social Media Data.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing(IEEE JSTARS), Vol.12, No.11, pp.4252-4264, 2019.

  175. D. Wang, X.-B. Gao, X.-M. Wang, L.-H. He. Label Consistent Matrix Factorization Hashing for Large-Scale Cross-Modal Similarity Search.IEEE Trans. on Pattern Analysis and Machine Intelligence(IEEE TPAMI),Vol.41, No.10, pp.2466-2479, 2019.

  176. M. Zhang, N. Wang, Y. Li, X.-B. Gao. Deep Latent Low-Rank Representation for Face Sketch Synthesis.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), Vol.30, No.10, pp.3096-3123, 2019.

  177. M. Zhu, J. Li, N. Wang, X.-B. Gao. Deep Collaborative Framework for Face Photo-Sketch Synthesis.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS),Vol.30, No.10, pp.3109-3108, 2019.

  178. X. Zhang, X,-B. Gao, W. Lu, L. He. A Gated Peripheral-Foveal Convolutional Neural Network for Unified Image Aesthetic Prediction.IEEE Transactions on Multimedia(IEEE TMM), Vol.21, No.11, pp.2815-2826, 2019.

  179. L. Qi, J. Li, Y. Wang, X.-B. Gao. Region-Based Multiview Sparse Hyperspectral Unmixing Incorporating Spectral Library.IEEE Geoscience and Remote Sensing Letter(IEEE GRSL),Vol.16, No.7, pp.1140-1144, 2019.

  180. C. Peng, N. Wang, J. Li, X.-B. Gao. Re-ranking High-Dimensional Deep Local Representation for NIR-VIS Face Recognition.IEEE Trans. on Image Processing(IEEE TIP),Vol.28, No.9, pp.4553-4565, 2019.

  181. Y. Zhou, L. Li, S. Wang, J. Wu, Y. Fang, X.-B. Gao. No-Reference Quality Assessment for View Synthesis Using DoG-based Edge Statistics and Texture Naturalness.IEEE Trans. on Image Processing(IEEE TIP),Vol.28, No.9, pp.4566-4579, 2019.

  182. Y. Zhang, X,-B. Gao, L. He, W. Lu, R. He. Blind Video Quality Assessment with Weakly Supervised Learning and Resampling Strategy.IEEE Trans. on Circuits and Systems for Video Technology(IEEE TCSVT),Vol.29, No.8, pp.2244-2255, 2019.

  183. X. Wang. T. Zhang, X.-B. Gao. Multiview Clustering Based on Non-Negative Matrix Factorization and Pairwise Measurements.IEEE Trans. on Cybernetics(IEEE TCyb),Vol.40, No.9, pp.3333-3346, 2019.

  184. B. Wang, X. Yuan, X.-B. Gao, X. Li, D. Tao. A Hybrid Level Set with Semantic Shape Constraint for Object Segmentation.IEEE Trans. on Cybernetics(IEEE TCyb), Vol.49, No.5, pp.1558-1569, 2019.

  185. Q. Gao, S. Xu, F. Chen, C. Ding, X.-B. Gao, Y. Li. R12-DPCA and Face Recognition.IEEE Trans. on Cybernetics(IEEE TCyb),Vol.49, N0.4, pp.1212-1223, 2019.

  186. B. Cao, N. Wang, J. Li, X.-B. Gao. Data Augmentation-Based Joint Learning for Heterogeneous Face Recognition.IEEE Trans. on Neural Networks and Learning Systems(IEEE TNNLS), Vol. 30, No.6, pp.1731-1743, 2019.

  187. C. Pan, X.-B. Gao, Y. Wang, and J. Li. Markov Random Fields Integrating Adaptive Interclass-Pair Penalty and Spectral Similarity for Hyperspectral Image Classification.IEEE Trans. on Geoscience and Remote Sensing(IEEE TGRS), Vol.57, No.5, pp.2520-2534, 2019.

  188. C. Peng, N. Wang, J. Li, X.-B. Gao. DLFace: Deep Local Descriptor for Cross-modality Face Recognition.Pattern Recognition, Vol.90, pp.161-171, 2019.

  189. B. Yuan, X.-B. Gao, Z. Niu, Q. Tian. Discovering Latent Topics by Gaussian Latent Dirichlet Allocation and Spectral Clustering.ACM Trans. on Multimedia Computing, Communications, and Applications(ACM TOMM), Vol.15, No.1, pp.25:1-18, January 2019.

  190. C. Deng, Z. Li, X.-B. Gao, D. Tao. Deep Multi-scale Discriminative Networks for Double JPEG Compression Forensics.ACM Trans. on Intelligent Systems and Technology(TIST), Vol.10, No.2, pp.20:1-20:20, 2019.

  191. M.-J. Zhang, R. Wang, X.-B. Gao, J. Li, D. Tao. Dual-Transfer Face Sketch�CPhoto Synthesis.IEEE Trans. on Image Processing(IEEE TIP), Vol.28, No. 2, pp.642-657, 2019.

  192. J. Yang, K. Sim, X.-B. Gao, W. Lu, Q. Meng, B. Li. A Blind Stereoscopic Image Quality Evaluator with Segmented Stacked Autoencoders Considering the Whole Visual Perception Route.IEEE Trans. on Image Processing(IEEE TIP), Vol.28, No.3, pp.1314-1328, 2019.

  193. W. Lu, R. He, J. Yang, C. Jia, X.-B. Gao. A Spatiotemporal Model of Video Quality Assessment via 3D Gradient Differencing.Information Science, Vol.478, pp.141-151, 2019.

  194. Y. Liu, F. Nie, Q. Gao, X.-B. Gao, Jungong Han, Ling Shao. Flexible Unsupervised Feature Extraction for Image Classification.Neural Networks, Vol.115, pp.65�C71, 2019.

  195. X. Yang, N. Wang, B. Song, and X.-B. Gao*, BoSR: A CNN-based Aurora Image Retrieval Method.Neural Networks, Vol.116, pp.188-197, 2019.

  196. Y. Liu, X.-B. Gao, Q. Gao, L. Shao, J. Han. Adaptive Robust Principal Component Analysis.Neural Networks, Vol.119, pp.85-92, 2019.

  197. Bo Yuan,X.-B. Gao,Zhenxing Niu. Discovering Latent Aspects for Diversity-induced Image Retrieval.IEEE Multimeida, Vol.25, No.4, pp.19-33, 2018.

  198. Q. Liu, X.-B. Gao, L. He, W. Lu. Single Image Dehazing with Depth-aware Non-local Total Variation Regularization.IEEE Trans. on Image Processing(IEEE TIP),Vol.27, No.10, pp.5178-5191, June 23, 2018.

  199. D. Wang, Q. Wang, X.-B. Gao. Robust and Flexible Discrete Hashing for Cross-Modal Similarity Search.IEEE Transactions on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.28, No.10, pp.2703-2715, October 2018.

  200. N.-N. Wang, X.-B. Gao, L.-Y. Sun, and J. Li. Anchored Neighborhood Index for Face Sketch Synthesis.IEEE Trans on Circuits and Systems for Video Technology(IEEE TCSVT),Vol.28, No.9, pp.2154-2163, 2018.

  201. Z.-X. Niu, G. Hua, L. Wang, X.-B. Gao. Knowledge Based Topic Model for Unsupervised Object Discovery and Localization.IEEE Trans. on Image Processing(IEEE TIP),Vol.27, No.1, pp.50-63, 2018.

  202. D. Tao, Y. Guo, Y. Li, X.-B. Gao. Tensor Rank Preserving Discriminant Analysis for Facial Recognition.IEEE Trans. on Image Processing(IEEE TIP), Vol.27, No.1, pp.325-334, 2018.

  203. C. Deng, Z. Chen, X. Liu, X.-B. Gao,and D. Tao. Triplet-Based Deep Hashing Network for Cross-Modal Retrieval.IEEE Trans. on Image Processing(IEEE TIP), Vol.27, No.8, pp.3893-3903, 2018.

  204. W.-L. Qiu,X.-B. Gao,B. Han. Eye Fixation Assisted Video Saliency Detection via Total Variation-Based Pairwise Interaction.IEEE Trans. Image Processing(IEEE TIP), Vol.27, No.10, pp.4724-4739, 2018.

  205. Z. Jiao, X,-B. Gao, Y. Wang, J. Li. A Parasitic Metric Learning Net for Breast Mass Classification Based on Mammography.Pattern Recognition, Vol.75, pp.292-301, 2018.

  206. Z. Jiao, X.-B. Gao, Y. Wang, J. Li, H. Xu. Deep Convolutional Neural Networks for mental load classification based on EEG data.Pattern Recognition, Vol.76, pp.582-595, 2018.

  207. N. Wang, X.-B. Gao, J. Li. Random Sampling for Fast Face Sketch Synthesis.Pattern Recognition, Vol.76, pp.215-227, 2018.

  208. Y. Liu, K. Wen, Q. Gao, X.-B. Gao, F. Nie. SVM based Multi-lable Learning with Missing Labels for Image Annotation.Pattern Recognition, Vol.78, pp.307-317, June 2018.

  209. Q. Wang, Q. Gao, D. Xie, X.-B. Gao, et al. Robust DLPP With Nongreedy ℓ1-Norm Minimization and Maximization.IEEE Trans. on Neural Networks and Learning Systems(IEEE TNNLS), Vol.29, No.3, pp.738-743, 2018.

  210. Q. Wang, Q. Gao, X.-B. Gao, F. Nie. L2,p-norm based PCA for Image Recognition.IEEE Transactions on Image Processing(IEEE TIP), Vol.27, No.3, pp.1336-1346, 2018.

  211. M.-J. Zhang, J. Li, N.-N. Wang, and X.-B. Gao. Compositional Model-based Sketch Generator in Facial Entertainment.IEEE Trans. on Cybernetics(IEEE TCyb),Vol.48, No.3, pp. 904-915, 2018.

  212. Q. Gao, L. Ma, Y. Liu, X.-B. Gao, Feiping Nie. Angle 2DPCA: A New Formulation for 2DPCA.IEEE Trans. on Cybernetics(IEEE TCyb),Vol.48, No.5, pp.1672-1678, 2018.

  213. C. Zhao, X.-B. Gao, William J. Emery, Y. Wang, J. Li. An Integrated Spatio-Spectral-Temporal Sparse Representation Method for Fusing Remote Sensing Images with Different Resolutions.IEEE Trans. on Geoscience and Remote Sensing(IEEE TGRS),Vol.56, No.6, pp.3358-3370, 2018.

  214. X. Yang, X.-B. Gao, B. Song, N. Wang, and D. Yang. ASI Aurora search: An Attempt of Intelligent Image Processing for Circular Fisheye Lens.Optics Express, Vol.26, No,7, pp.7985-8000, 2018.

  215. C.-L. Peng, X.-B. Gao, N.-N. Wang, J. Li. Graphical Representation for Heterogeneous Face Recognition.IEEE Transactions on Pattern Analysis and Machine Intelligence(IEEE TPAMI), Vol.39, No.2, pp.301-312, 2017.

  216. H.-J Wang, X.-B. Gao, K.-B. Zhang, J. Li. Single Image Super-resolution Using Gaussian Process Regression with Dictionary-based Sampling and Student-t Likelihood.IEEE Trans. on Image Processing(IEEE TIP), Vol.26, No.7, pp.3556-3567, 2017.

  217. D.Tao, D. Tao, X. Li, X.-B. Gao, K. Wei. Large Sparse Cone Non-negative Matrix Factorization for Image Annotation.ACM Transactions on Intelligent Systems and Technology(ACM TIST),, Vol.8, No.3, Article 37 (April 2017), 21 pages.

  218. K. Zhang, D. Tao, X.-b. Gao, et al. Coarse-to-Fine Learning for Single Image Super-resolution.IEEE Transactions on Neural Networks and Learning Systems(IEEE TNNLS), , Vol.28, No.5, pp.1109-1122, 2017.

  219. Q. Wang, Q. Gao, X.-B. Gao, F. Nie. Optimal Mean Two-dimensional Principal Component Analysis with F-norm Minimization.Pattern Recognition,Vol.68, pp.286-294, 2017.

  220. N.-N Wang, X.-B. Gao, et al. Bayesian Face Sketch Synthesis.IEEE Trans. on Image Processing(IEEE TIP),Vol.26, No.3, pp.1264-1274, 2017.

  221. C.-L. Peng, X.-B. Gao, N. Wang, J. Li. Superpixel-based Face Sketch-Photo Synthesis.IEEE Trans. on Circuits and Systems for Video Technology(IEEE TCSVT),Vol.27, No.2, pp.288-299, 2017.

  222. S.-C. Zhang, X.-B. Gao, N.-N. Wang, Jie Li. Face Sketch Synthesis from a Single Photo-Sketch Pair.IEEETrans.on Circuits and Systems for Video Technology(IEEE TCSVT),Vol.27, No.2, pp.275-287, 2017.

  223. D. Tao, J. Cheng, X.-B. Gao, et al. Robust Sparse Coding for Mobile Image Labeling on the Cloud.IEEE Trans. on Circuits and Systems for Video Technology(IEEE TCSVT),Vol.27, No.1, pp.62-72, 2017.

  224. Y.-H. Yang, C. Deng, D. Tao, S. Zhang, W. Liu, X.-B. Gao. Latent Max-Margin Multitask Learning With Skeletons for 3-D Action Recognition.IEEE Trans. on Cybernetics(IEEE TCyb),Vol.47. No.2, pp.439-448, 2017.

  225. Y.-H. Yang, C. Deng, S. Gao, W. Liu, D. Tao, X.-B. Gao. Discriminative Multi-Instance Multi-Task Learning for 3D Action Recognition.IEEE Trans. Multimedia(IEEE TMM), Vol.19, No.3, pp.519-529, 2017.

  226. Y. Liu, Q. Gao, S. Miao, X.-B. Gao, et al. A Non-greedy Algorithm for L1-norm LDA.IEEE Trans. on Image Processing(IEEE TIP), Vol.26, No.2, pp.684-695, 2017.

  227. Y. Zheng, J. Fan, J. Zhang, X.-B. Gao. Hierarchical Leaning of Multi-Task Sparse Metrics for Large-Scale Image Classification.Pattern Recognition, Vol.67, pp.97-109, 2017.

  228. Y. Su, X.-B. Gao, X.-C. Yin. Fast Alignment for Sparse Representation based Face Recognition.Pattern Recognition, Vol.68, pp.211-221, 2017.

  229. Q.-Q. Wang, Q. Gao, X.-B. Gao, F. Nie. Optimal Mean Two-dimensional Principal Component Analysis with F-norm Minimization.Pattern Recognition, Vol.68, pp.286-294, 2017.

  230. Balla-Arab�� Souleymane, X.-B. Gao, D. Ginhac, V. Brost, F.Yang. Architecture-Driven Level Set Optimization: From Clustering to Sub-pixel Image Segmentation.IEEETrans.on Cybernetics(IEEE TCyb), Vol.46, No.12, pp.3183-3194, 2016.

  231. C. Deng, J. Xu, K. Zhang, X.-B. Gao, et al. Similarity Constraints Based Structured Output Regression Machine: An Approach to Image Super-Resolution.IEEETrans.on Neural Networks and Learning Systems(IEEE TNNLS),Vol.27, N0.12, pp.2472-2485, 2016.

  232. J. Shen, J. Shen, T. Mei, X.-B. Gao. Landmark Reranking for Smart Travel Guide Systems by Combining and Analyzing Diverse Media.IEEETrans.on Systems, Man and Cybernetics: Systems(IEEE TSMC-S),Vol.46, No.11, pp.92-1504, 2016.

  233. C.-L. Peng, X.-B. Gao, N.-N. Wang, et al. Multiple Representations based Face Sketch-Photo Synthesis.IEEETrans.on Neural Networks and Learning Systems(IEEE TNNLS), Vol.27, No.7, pp.2201-2215, 2016.

  234. H.-J. Wang, X.-B. Gao, K. Zhang. Single Image Super-resolution Using Active-sampling Gaussian Process Regression.IEEE Trans. on Image Processing(IEEE TIP), Vol.25, No.2, pp.935-948, 2016.

  235. C.-Y. Zhao, X.-B. Gao, et al. Multiple Feature Learning Based Hyperspectral Image Classification With Limited Training Samples.IEEE Transactions on Geoscience and Remote Sensing(IEEE TGRS), Vol.54, No.7, pp.4052-4062, 2016.

  236. Y.-T. Hu, N.-N. Wang, D. Tao, X.-B. Gao, X. Li. SERF: A Simple, Effective, Robust, and Fast Image Super-Resolver from Cascaded Linear Regression.IEEETrans.on Image Processing(IEEE TIP), Vol.25, No.9, pp.4091-4102, September, 2016.

  237. X. Yang, X.-B. Gao, et al. Shape-Constrained Sparse and Low-Rank Decomposition for Auroral Substorm Detection.IEEETrans.on Neural Networks and Learning Systems(IEEE TNNLS), Vol.27, No.1, pp.32-46, 2016.

  238. S. Zhang, X.-B. Gao, N.-N. Wang, J. Li. Robust Face Sketch Style Synthesis.IEEE Trans. on Image Processing(IEEE TIP). Vol.25, No.1, pp.220-232, 2016.

  239. D. Wang, X.-B. Gao, X. Wang, L. He, and B. Yuan. Multimodal Discriminative Binary Embedding for Large-Scale Cross-Modal Retrieval.IEEE Trans. Image Processing(IEEE TIP), Vol.25, No.10, October, 2016.

  240. D. Wang, X.-B. Gao, X. Wang. Semi-supervised Nonnegative Matrix Factorization via Constraint Propagation.IEEETrans.on Cybernetics(IEEE TCyb),, Vol.46, No.1, pp.233-244, 2016.

  241. W.-P. Ni, X.-B. Gao. Despeckling of SAR Image Using Generalized Guided Filter with Bayesian Non-Local Means.IEEETrans.on Geoscience and Remote Sensing(IEEE TGRS), Vol. 54, No.1, pp. 567-579, 2016.

  242. C. Deng, X. Tang, J. Yan, W. Liu, X.-B. Gao. Discriminative Dictionary Learning with Common Label Alignment for Cross-Modal Retrieval.IEEE Trans. on Multimedia(IEEE TMM), Vol.18, No. 2, pp.208-218, 2016.

  243. L. Zhao, X.-B. Gao, et al. Learning a Tracking and Estimation Integrated Graphical Model for Human Pose Tracking.IEEETrans.on Neural Networks and Learning Systems(IEEE TNNLS), , Vol.26, No.12, pp.3176-3186, 2015.

  244. C.-N. Tian, X.-B. Gao, et al. Visual Tracking Based on the Adaptive Color Attention Tuned Sparse Generative Object Model.IEEETrans.on Image Processing(IEEE TIP),Vol.24, No.12, pp.5236-5248, 2015.

  245. L. Zhao, X.-B. Gao, et al. Tracking Human Pose using Max-margin Markov Models.IEEETrans.on Image Processing(IEEE TIP), Vol.24, No.12, pp.5274-5287, 2015.

  246. Q. Gao, Q. Wang, Y. Huang, X.-B. Gao, et al. Dimensionality Reduction by Integrating Sparse Representation and Fisher Criterion and its Applications.IEEETrans.on Image Processing(IEEE TIP),Vol.24, No.12, pp.5684-5695, 2015.

  247. F. Gao, D. Tao, X.-B. Gao, et. al. Learning to Rank for Blind Image Quality Assessment.IEEETrans.on Neural Networks and Learning Systems(IEEE TNNLS),Vol.26, No.10, pp.2275-2290, 2015.

  248. Z.-X. Niu, G. Hua, Q. Tian, X.-B. Gao. Visual Topic Network: Building an Image Representation for Image Recognition in Social Media.Computer Vision and Image Understanding, Vol.136, pp.3-13, July, 2015.

  249. W. Hou, X.-B. Gao. Saliency-guided Deep Framework for Image Quality Assessment.IEEE MultiMedia, Vol.22, No.2, pp.46-54, 2015.

  250. W.-L. Hou, X.-B. Gao, et al. Blind Image Quality Assessment via Deep Learning.IEEE Trans. on Neural Networks and Learning Systems(IEEE TNNLS),Vol.26, No.6, pp.1275-1286, 2015.

  251. S.-C. Zhang, X.-B. Gao, N.-N. Wang, J. Li, M.-J. Zhang. Face Sketch Synthesis via Sparse Representation-based Greedy Search.IEEETrans.on Image Processing(IEEE TIP), Vol.24, No.8, pp.2466-2477, 2015.

  252. K.-B. Zhang, D. Tao, X.-B. Gao, et al. Learning Multiple Linear Mappings for Real-Time Single Image Super-resolution.IEEE Trans. on Image Processing(IEEE TIP), Vol.24, No.3, pp.846-861, 2015.

  253. X. Yang, X.-B. Gao, Q. Tian. Polar Embedding for Aurora Image Retrieval.IEEE Trans. on Image Processing(IEEE-TIP), Vol.24, No.11, pp.3332-3344, 2015.

  254. X. Yang, X.-B. Gao, et al. An MRF Embedded Level Set Method for Fast and Robust Image Segmentation.IEEE Trans. on Image Processing(IEEE TIP), Vol.24, No.1, pp.9-21, 2015.

  255. X. Yang, X.-B. Gao, et al. Improving Level Set Method for Fast Auroral Oval Segmentation.IEEE Trans. on Image Processing(IEEE TIP), Vol.23, No.7, pp.2854-2865, 2014.

  256. X. Yang, X.-B. Gao, J. Li, B. Han. A Shape-initialized and Intensity-adaptive Level Set Method for Auroral Oval Segmentation.Information Sciences(ISI),277(2014)794�C807, 2014..

  257. N.-N. Wang, D. Tao, X.-B. Gao, et al.A Comprehensive Survey to Face Hallucination.International Journal of Computer Vision(VISI), Vol. 106, No. 1, pp.9-30, January 2014.

  258. C. Deng, R.-R. Ji, D.-C. Tao, X.-B. Gao, X.-L. Li. Weakly Supervised Multi-Graph Learning for Robust Image Reranking.IEEE Trans. on Multimedia(IEEE TMM), Vol. 16, No. 3, pp.785-795, 2014.

  259. B. Wang, X.-B. Gao, et al. A Nonlinear Adaptive Level Set for Image Segmentation.IEEETrans. on Cybernetics(IEEE TCyb),, Vol. 44, No.3, pp.418-428, 2014.

  260. J. Yu, X.-B. Gao, et al. A Unified Learning Framework for Single Image Super-resolution.IEEE Trans. on Neural Networks and Learning Systems(IEEE TNNLS),Vol.25, No.4, pp.780-792, 2014.

  261. S. Balla-Arab��, X.-B. Gao et al. Multi-Kernel Implicit Curve Evolution for Selected Texture Regions Segmentation in VHR Satellite Images.IEEE Trans. on Geoscience and Remote Sensing(IEEE TGRS), Vol. 52, No. 8, pp. 5183-5192, 2014.

  262. X.-B Gao, F. Gao, et al.Universal Blind Image Quality Assessment Metrics via Natural Scene Statistics and Multiple Kernel Learning.IEEE Trans. on Neural Networks and Learning System(IEEE TNNLS),Vol.24, No.12, pp.2013-2026, 2013.

  263. K.-B. Zhang, X.-B. Gao, et al.. Multi-scale Similarity Learning for Single Image SR.IEEE Trans. on Neural Networks and Learning System(IEEE TNNLS), Vol.24, No.10, pp.1648-1659, 2013.

  264. N.-N. Wang, D. Tao, X.-B. Gao, et al. Transductive Face Sketch-Photo Synthesis.IEEE Trans. on Neural Networks and Learning System(IEEE TNNLS),Vol.24, No.9, pp.1364-1376, 2013.

  265. Souleymane Balla-Arab��, X.-B. Gao, B. Wang. GPU Accelerated Edge-Region Based Level Set Evolution Constrained by 2D Gray-scale Histogram.IEEE Trans. on Image Processing(IEEE TIP),Vol.22, No.7, pp.2688-2698, July, 2013.

  266. Q.-X. Gao, H. Zhang, X.-B. Gao, Y. Liu, J. Cheng. Stable Orthogonal Local Discriminant Embedding for Linear Dimensionality Reduction.IEEE Trans. on Image Processing(IEEE TIP),Vol.22, No.7, pp.2521-2531, July, 2013.

  267. Souleymane Balla-Arab��, X.-B. Gao, B. Wang. A Fast and Robust Level Set Method for Image Segmentation Using Fuzzy Clustering and Lattice Boltzmann Method.IEEE Trans. on Cybernetics(IEEE TCyb),Vol.43, No.3, pp.910-920,2013.

  268. Q.-X. Gao, J.-J. Liu, H.-L. Zhang, X.-B. Gao, K. Li. Joint Global and Local Structure Discriminant Analysis.IEEE Trans. on Information Forensics and Security(IEEE TIFS), Vol.8, No.4, pp.626-635, 2013.

  269. W.-L. Hou, X.-B. Gao, et al. Visual Saliency Detection Using Sparse Representation and Information Disparity.Pattern Recognition(PR), Vol.46, No.10, pp.2658-2669, 2013.

  270. B. Xiao, X.-B. Gao, et al.Biview Face Recognition in the Shape-Texture Domain.Pattern Recognition(PR), Vol.46, No.7, pp.1906-1919, July, 2013.

  271. N.-N. Wang, J. Li, D. Tao, X. Li, X.-B. Gao*.Heterogeneous Image Transformation.Pattern Recognition Letter(PRL), Vol.34, No.4, pp.77-84, 2013.

  272. K.-B. Zhang, X.-B. Gao, et al. Learning Local and Non-Local Priors for Single Image Super-resolution.IEEE Trans. Image Processing(IEEE TIP),Vol.21, No,11, pp.4544-4556, 2012.

  273. L.-L. An, X.-B. Gao, et al. Robust Reversible Watermarking via Clustering and Enhanced Pixel-wise Masking.IEEE Trans. Image Processing(IEEE TIP),Vol.21, No.8, pp.3589-3611, 2012.

  274. Y. Su, X.-B. Gao, et al.Multivariate Multi-linear Regression.IEEETrans. on Systems, Man and Cybernetics Part B: Cybernetics(IEEE TSMC-B), Vol.42, No.6, pp.1560-1573, Dec. 2012.

  275. X.-B. Gao, K. Zhang, et al. Image Super-Resolution with Sparse Neighbor Embedding.IEEE Trans. Image Processing(IEEE TIP), Vol.21, No.7, pp.3149-3205, 2012.

  276. Y. Su, Y. Fu, X.-B Gao, Q. Tian. Discriminant Learning through Multiple Principal Angles for Visual Recognition.IEEETrans. on Image Processing(IEEE TIP), Vol.21, No.3, pp.1381-1390, 2012.

  277. X.-B Gao, K.-B. Zhang, et al. Joint Learning for Single Image Super-resolution via Coupled Constraint.IEEE Trans. on Image Processing(IEEE TIP), Vol.21, No.2, pp.469-490, 2012.

  278. C.-N. Tian, G. Fan, X.-B. Gao, Q. Tian. Multi-view Face Recognition: From TensorFace to V-TensorFace and K-TensorFace.IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics(IEEE TSMC-B). Vol.42, No.2, pp.320-333, 2012.

  279. X.-B. Gao, N.-N. Wang, et al. Face Sketch-Photo Synthesis and Retrieval Using Sparse Representation.IEEE Trans. onCircuits Systems for Video technology(IEEE TCSVT), Vol.22, No.8, pp.1213-1226,2012

  280. Z.-X. Niu,X.-B Gao, et al. Real-World Trajectory Extraction for Attack Pattern Analysis in Soccer Video.Pattern Recognition, Vol.45, No.5, pp.1937-1947, 2012.

  281. X. Chen, J. Liang, X. Qu, Y. Hou, S. Zhu, D. Chen, X.-B. Gao, J. Tian. Mapping of bioluminescent images onto CT volume surface for dual-modality BLT and CT imaging.Journal of X-ray Science and Technology. Vol.20, No.1, pp.31-44, 2012.

  282. X.-B. Gao,Q. Wang,et al. Zernike Moment based Super Resolution Image Reconstruction.IEEE Trans. on Image Processing(IEEE TIP),Vol. 20, No.10, pp.2738-2747, 2011.

  283. K. Peng, X.-B. Gao*,et al. Graphics Processing Unit Parallel Accelerated Solution of the Discrete Ordinates for Photon Transport in Biological Tissues. Applied Optics,Vol. 50, No.21, pp.3808-3823, 2011.

  284. X.-B. Gao, L.-L. Anet al.Lossless Data Embedding Using Generalized Statistical Quantity Histogram.IEEE Trans. on Circuits and Systems for Video Technology(IEEE TCSVT),Vol.21, No.8, pp.1061-1070,2011.

  285. X.-B. Gao, J.-G. Chenet al. Multi-sensor Centralized Fusion without Measurement Noise Covariance by Variational Bayesian Approximation.IEEE Trans. on Aerospace and Electronic Systems(IEEE-TAES), Vol.47, No.1, pp.718-727, 2011.

  286. X.-B. Gao, B. Wanget al.A Relay Level Set Method for Automatic Image Segmentation.IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics(IEEE TSMC-B),Vol.41, No.2, pp.518-525, April 2011.

  287. X.-B. Gao, X.-M. Wanget al.Supervised Gaussian Process Latent Variable Model for Dimensionality Reduction.IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics(IEEE TSMC-B),Vol.41, No.2, pp.42-434, April 2011.2011.

  288. K.-B. Zhang, X.-B. Gao,et al. Partially Supervised Neighbor Embedding for Example-based Image Super-resolution.IEEE Journal of Selected Topics in Signal Processing, Vol.5, No.5, pp.230-239, 2011.

  289. X.-B. Gao, X.-M. Wanget al. Transfer Latent Variable Model Learning Based on Divergence Analysis.Pattern Recognition(Elsevier),Vol.44, No.10-11, pp.2358-2366, 2011.

  290. Y. Wang, D.-C. Tao, X.-B. Gao, X.-L. Li, B. Wang. Feature embedded vector-valued contour-based level set method with relaxed shape constraint for mammographic mass segmentation.Pattern Recognition(Elsevier),Vol.44, No.9, pp.1903-1915, 2011.

  291. X.-B. Gao, Z.-X. Niuet al. Non-Goal Scene Analysis for Soccer Video.Neurocomputing(Elsevier), Vol.74, No.4, pp.540-548, 2011.

  292. X.-B. Gao, R. Fuet al. Image Segmentation for Aurora Index Extraction.Computer Vision and Image Understanding, Vol.115, No.3, pp.390-402, 2011.

  293. J.-G. Chen, J. Li, X.-B. Gao. Single-Step-Lag OOSM Algorithm Based on Unscented Transformation.Science China, Information Science, Vol.54, N0.3, pp.664-673, 2011.

  294. K. Peng, X.-B. Gao*, andet al. Study on Photon Transport Problem Based on the Platform of Molecular Optical Simulation Environment.International Journal of Biomedical Imaging, 2010.DOI:10.1155/2010/913434

  295. X.-L. Chen, X.-B. Gao*,et al.3D Reconstruction of Light Flux Distribution on Arbitrary Surfaces from 2D Multi-photographic Images.Optics Express, Vol,18, No.19, pp.19876-19893, 2010.

  296. X.-L. Chen, X.-B. Gao*,et al.A generalized free-space photon transport model based on the influence analysis of camera lens diaphragm.Applied Optics, Vol.49, No.29, pp.5654-5664, 2010.

  297. C.-H. Hu, X.-B. Wang, Z.-C. Yang, J.-F. Zhang, Y.-Y. Xu, X.-B. Gao. A Geometry Study on the Capacity of Wireless Networks Via Percolation.IEEE Trans. on Communications(IEEE TC), Vol.58, No.10, pp.2916-2925, 2010.

  298. X.-B. Wang, Z. Li, P.-C. Xu, Y.-Y. Xu, X.-B. Gao, H.-H Chen.Spectrum Sharing in Cognitive Radio Networks: An Auction-based Approach.IEEE Trans. on Systems, Man and Cybernetics Part B: Cybernetics(IEEE TSMC-B), Vol.40, No.3, pp.587-596, June 2010

  299. B. Wang, X.-B. Gao,et al.A Unified Tensor Level Set for Image Segmentation.IEEE Trans. on System, Man, and Cybernetics Part B: Cybernetics(IEEE TSMC-B),Vol. 40, No.3, pp.857-867, 2010.

  300. X.-B. Gao,Y. Wang, andet al. On Combining Morphological Component Analysis and Concentric Morphology Model for Mammographic Mass Detection.IEEE Trans. on Information Technology in Biomedicine(IEEE-TITB), Vol.14, No.2, pp.266-273, 2010

  301. X.-B. Gao, C. Deng, andet al. Geometric Distortion Insensitive Image Watermarking in Affine Covariant Regions.IEEE Trans. on Systems, Man and Cybernetics-Part C: Applications and Reviews(IEEE-TSMC-C), Vol.40, No.3, pp.278-286, 2010

  302. X.-B. Gao, Y. Su, andet al.A Review of Active Appearance Models.IEEE Trans. on System, Man, and Cybernetics Part C: Applications and Reviews(IEEE TSMC-C),Vol.40, No.2, pp.145-158, 2010.

  303. X.-B. Gao, B. Xiao, andet al. A Survey of Graph Edit Distance.Pattern Analysis and Application(Spring),Vol.13, No.1, pp.113-129, 2010.

  304. X.-B. Gao, W. Lu, andet al. Image Quality Assessment Based on Multiscale Geometric Analysis.IEEE Trans. on Image Processing(IEEE TIP),Vol.18, No.7, pp.1409-1423, 2009

    305.

  305. D. Tao, X. Li, W. Lu, X.-B. Gao.Reduced-Reference IQA in Contourlet Domain .IEEE Trans. on System, Man, and Cybernetics Part B: Cybernetics(IEEE TSMC-B),Vol.39, No.6, pp.1623-1627, 2009.

  306. X.-B. Gao, andet al. Shot-based Video Retrieval with Optical Flow Tensor and HMM.Pattern Recognition Letters(Elsevier), Vol.30, No.2, pp.140-147, 2009

  307. X.-B. Gao, andet al.Discriminative Optical Flow Tensor for Video Semantic Analysis.Computer Vision and Image Understanding(Elsevier), Vol.113, No.3, pp. 372-383, 2009

  308. X.-B. Gao, J.-J. Zhong,andet al. Face Sketch Synthesis Algorithm Based on Machine Learning.IEEE Trans. on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.18, No.4, pp.487-496, April 2008

  309. X.-B. Gao, B. Xiao, andet al.Image Categorization: Graph Edit Distance + Edge Direction Histogram.Pattern Recognition(Elsevier). Vol.41, No.10, pp.3179-3191, October, 2008

  310. X.-B. Gao, J. Li,andet al. Fuzziness Measurement of Fuzzy Sets and Its Application in Cluster Validity Analysis.International Journal of Fuzzy System(IJFS),Vol. 9, No. 4, pp. 188-197, 2007

  311. X.-B. Gao, andet. al. De-interlacing Algorithms Based on Motion Compensation.IEEE Trans. on Consumer Electronics(IEEE TCE), Vol.51, No.2, pp.589-599, May, 2005

  312. X.-B. Gao and X. Tang. Unsupervised Video Shot Segmentation and Model-Free Anchorperson Detection for News Video Story Parsing.IEEE Trans. on Circuits and Systems for Video Technology(IEEE TCSVT), Vol.12, No.9, pp.765-776, Sept., 2002.

  313. X. Tang, X.-B. Gao, J.-Z. Liu and H. Zhang. A Spatial-Temporal Approach for Video Caption Detection and Recognition.IEEE Trans. on Neural Networks(IEEE TNN), Vol.13, No.4, pp.961-971, 2002.

  314. X.-B. Gao, H. Iida, Jos W.H.M. Uiterwijk, H. Jaap van den Herik. Strategies Anticipating a Difference in Search Depth Using Opponent-Model Search.Theoretical Computer Science(Elsevier), Vol.252, No.1-2, pp.83-104, 2001.

  315. X.-B. Gao, W. Xie. Advances in Theory and Applications of Fuzzy Clustering.Chinese Science Bulletin(CSB), Vol.45, No.11, pp.961-970, 2000 .

[top]

CONFERENCE PAPERS

Conference List Recommended by CCF:List A, B, C

Level A Level B
CVPR:IEEE Conference on Computer Vision and Pattern Recognition ICMR:ACM SIGMM International Conference on Multimedia Retrieval
ICCV:International Conference on Computer Vision ICME:IEEE International Conference on Multimedia &Expo
ACM MM:ACM International Conference on Multimedia ECCV:European Conference on Computer Vision
IJCAI:International Joint Conference on Artificial Intelligence ICDM:IEEE International Conference on Data Mining
ICML:International Conference on Machine Learning WWW:International World Wide Web Conferences
AAAI:AAAI Conference on Artificial Intelligence NIPS:Annual Conference on Neural Information Processing Systems
SIGKDD:ACM Knowledge Discovery and Data Mining COLT:Annual Conference on Computational Learning Theory

  1. Xiuli Bi,Wuqing Yan, Bo Liu, Bin Xiao*, Weisheng Li, Xinbo Gao. Self-Supervised Image Local Forgery Detection by JPEG Compression Trace.Proceedings of the The Thirty-Seventh AAAI Conference on Artificial Intelligence(AAAI2023), pp.231-240, 2023. DOI: https://doi.org/10.1609/aaai.v37i1.25095

  2. De Cheng, Xiaolong Wang, Nannan Wang, Zhen Wang, Xiaoyu Wang, Xinbo Gao. Cross-Modality Person Re-identification with Memory-Based Contrastive Embedding.Proceedings of the The Thirty-Seventh AAAI Conference on Artificial Intelligence(AAAI2023), pp.425-432, 2023. DOI: https://doi.org/10.1609/aaai.v37i1.25116

  3. Guozhang Li, De Cheng, Xinpeng Ding, Nannan Wang, Xiaoyu Wang, Xinbo Gao. Boosting Weakly-Supervised Temporal Action Localization With Text Information.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR 2023), 2023, pp. 10648-10657.

  4. Yongchao Wang, Bin Xiao, Xiuli Bi, Weisheng Li, Xinbo Gao. MCF: Mutual Correction Framework for Semi-Supervised Medical Image Segmentation.IEEE International Conference on Computer Vision and Pattern Recognition(CVPR2023), pp.15651-15660, 2023.

  5. Bin Xiao, Yang Hu, Bo Liu, Xiuli Bi, Weisheng Li, Xinbo Gao. DLBD: A Self-Supervised Direct-Learned Binary Descriptor. IEEE International Conference on Computer Vision and Pattern Recognition(CVPR2023), pp.15846-15855, 2023.

  6. Chuandong Liu, Chenqiang Gao, Fangcen Liu, Pengcheng Li, Deyu Meng, Xinbo Gao. Hierarchical Supervision and Shuffle Data Augmentation for 3D Semi-Supervised Object Detection.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR 2023), 2023, pp. 23819-23828.

  7. Zongyi Xu, Bo Yuan, Shanshan Zhao, QIanni Zhang, Xinbo Gao*. Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation.Proceedings of International Conference on Computer Vision(ICCV2023), Oct.2-6, 2023, Paris, France.

  8. Feng Gao, Jiaxu Leng, Ji Gan, Xinbo Gao*. Selecting Learnable Training Samples is All DETRs Need in Crowded Pedestrian Detection.Proceedings of ACM Multimedia 2023(ACM MM 2023), Ottawa, Canada, 2023.10.28

  9. Xixi Nie, Bo Hu, Xinbo Gao*, Leida Li, Xiaodan Zhang, Bin Xiao. BMI-Net: A Brain-inspired Multimodal Interaction Network for Image Aesthetic Assessment.Proceedings of ACM Multimedia 2023(ACM MM 2023), Ottawa, Canada, 2023.10.28

  10. Kun Cheng, Mingrui Zhu, Nannan Wang, Guozhang Li, Xiaoyu Wang, Xinbo Gao. Controllable Face Sketch-Photo Synthesis with Flexible Generative Priors.Proceedings of ACM Multimedia 2023(ACM MM 2023), Ottawa, Canada, 2023.10.28

  11. De Cheng, Lingfeng He, Nannan Wang, Shizhou Zhang, Zhen Wang, Xinbo Gao. Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID.Proceedings of ACM Multimedia 2023(ACM MM 2023), Ottawa, Canada, 2023.10.28

  12. De Cheng, Xiaojian Huang, Nannan Wang, Lingfeng He, Zhihui Li, Xinbo Gao. Unsupervised Visible-Infrared Person ReID by Collaborative Learning with Neighbor-Guided Label Refinement.Proceedings of ACM Multimedia 2023(ACM MM 2023), Ottawa, Canada, 2023.10.28

  13. Decheng Liu, Weizhao Yang, Chunlei Peng, Nannan Wang, Ruimin Hu, Xinbo Gao. Modality-agnostic Augmented Multi-Collaboration Representation for Semi-supervised Heterogenous Face Recognition.Proceedings of ACM Multimedia 2023(ACM MM 2023), Ottawa, Canada, 2023.10.28

  14. Dawei Zhou, Nannan Wang, XInbo Gao, Bo Han, Xiaoyu Wang, Yibing Zhang, Tongliang Liu. Improving Adversarial Robustness via Mutual Information Estimation.International Conference on Machine Learning(ICML2022), Vol.162, Baltimore, MD, 2022.

  15. Chuandong Liu, Chenqiang Gao, Fangcen Liu, Jiang Liu, Deyu Meng, Xinbo Gao. SS3D: Sparsely-Supervised 3D Object Detection From Point Cloud.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2022, pp. 8428-8437.

  16. Hanyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang and Xinbo Gao. Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin.2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2022, pp. 4156-4165, doi: 10.1109/CVPR52688.2022.00413.

  17. De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Masashi Sugiyama. Instance-Dependent Label-Noise Learning With Manifold-Regularized Transition Matrix Estimation.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR), 2022, pp.16630-16639.

  18. De Cheng, Yan Li, Dingwen Zhang, Nannan Wang, Xinbo Gao, Jiande Sun. Robust Single Image Dehazing Based on Consistent and Contrast-Assisted Reconstruction.Proceedings of the 31st International Joint Conference on Artificial Intelligence(IJCAI), pp.848-854, 2022.

  19. Yan Zhang, Xue Jiang, Siqi Liu, Bo Hu, Xinbo Gao. Boundary-aware Bias Loss for Transformer-based Aerial Image Segmentation Model.IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP2022), Shenzhen, China, 2022.

  20. Li Yang, Mai Xu, Tie Liu, Liangyu Huo, Xinbo Gao. TVFormer: Trajectory-guided Visual Quality Assessment on 360�� Images with Transformers.MM '22: Proceedings of the 30th ACM International Conference on Multimedia, October 2022, pp.799�C808. (Top Paper Award) https://doi.org/10.1145/3503161.3547748

  21. Lin Yuan, Linguo Liu, Xiao Pu, Zhao Li, Hongbo Li, Xinbo Gao*. PRO-Face: A Generic Framework for Privacy-preserving Recognizable Obfuscation of Face Images.MM '22: Proceedings of the 30th ACM International Conference on Multimedia, October 2022, pp.1661�C1669. https://doi.org/10.1145/3503161.3548202

  22. Mingjin Zhang, Haichen Bai, Jing Zhang, Rui Zhang, Chaoyue Wang, Jie Guo, Xinbo Gao. RKformer: Runge-Kutta Transformer with Random-Connection Attention for Infrared Small Target Detection.MM '22: Proceedings of the 30th ACM International Conference on Multimedia, October 2022, pp.1730�C1738. https://doi.org/10.1145/3503161.3547817

  23. Mingjin Zhang, Ke Yue, Jing Zhang, Yunsong Li, Xinbo Gao. Exploring Feature Compensation and Cross-level Correlation for Infrared Small Target Detection.MM '22: Proceedings of the 30th ACM International Conference on Multimedia, October 2022, pp.1857�C1865. https://doi.org/10.1145/3503161.3548264

  24. Jiaxu Leng, Jia Wang, Xinbo Gao*, Bo Hu, Ji Gan, Chenqiang Gao. ICNet: Joint Alignment and Reconstruction via Iterative Collaboration for Video Super-Resolution.MM '22: Proceedings of the 30th ACM International Conference on Multimedia, October 2022, pp. 6675�C6684. https://doi.org/10.1145/3503161.3547994

  25. Jiaxu Leng, Mingpi Tan, Xinbo Gao*, Wen Lu, Zongyi Xu. Anomaly Warning: Learning and Memorizing Future Semantic Patterns for Unsupervised Ex-ante Potential Anomaly Prediction.MM '22: Proceedings of the 30th ACM International Conference on Multimedia, October 2022, pp.6746�C6754. https://doi.org/10.1145/3503161.3548000

  26. Jing Li, Patrick Le Callet, Xinbo Gao, Zhi Li, Wen Lu, Jiachen Yang, Junle Wang. QoEVMA'22: 2nd Workshop on Quality of Experience (QoE) in Visual Multimedia Applications.MM '22: Proceedings of the 30th ACM International Conference on Multimedia, October 2022, pp.7423�C7425. https://doi.org/10.1145/3503161.3554767

  27. Bo Liu, Fan Yang, Xiuli Bi, Bin Xiao, Weisheng Li, and Xinbo Gao. Detecting Generated Images by Real Images.European Conference on Computer Vision TEL AVIV 2022(ECCV2022), pp.95-110, October 23-27, 2022.

  28. De Cheng, Yixiong Ning, Nannan Wang, Xinbo Gao, Heng Yang, Yuxuan Du, Bo Han, Tongliang Liu. Class-Dependent Label-Noise Learning with Cycle-Consistency Regularization.36th Conference on Neural Information Processing Systems (NeurIPS 2022).

  29. D. Zhou, T. Liu, B. Han, N. Wang, C. Peng, X.-B. Gao. Towards Defending against Adversarial Examples via Attack-Invariant Features.International Conference on Machine Learning 2021(ICML2021), July 18, 2021

  30. Z. Hui, J. Li, X. Wang, X.-B. Gao*. Learning the Non-Differentiable Optimization for Blind Super-Resolution.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR2021), 2021, pp. 2093-2102.

  31. J. Yang, J. Li, L. Li, X Wang, X.-B. Gao*. A Circular-Structured Representation for Visual Emotion Distribution Learning.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR2021), 2021, pp. 4237-4246.

  32. T. Lin, Z. Ma, F. Li, D. He, X. Li, E. Ding, N. Wang, J. Li, X.-B. Gao. Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR2021), 2021, pp. 5141-5150.

  33. L. Zhang, Y. Zhao, D. Meng, Z. Cui, C. Gao, X.-B. Gao, C. Lian, D. Shen. TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation.Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR2021), 2021, pp.6699-6708.

  34. Z. Wei, X. Yang, N. Wang, X.-B. Gao. Syncretic Modality Collaborative Learning for Visible Infrared Person Re-identification.2021 IEEE/CVF International Conference on Computer Vision(ICCV), October 11 to October 17 2021.

  35. D. Zhou, N. Wang, C. Peng, X.-B. Gao, Xiaoyu Wang, Jun Yu and Tongliang Liu. Removing Adversarial Noise in Class Activation Feature Space.2021 IEEE/CVF International Conference on Computer Vision(ICCV), October 11 to October 17 2021.

  36. H. Yu, J. Tang, G. Wang, X.-B. Gao. A Novel Multi-View Clustering Method for Unknown Mapping Relationships Between Cross-View Samples.ACM SIGKDD Conference on Knowledge Discovery and Data Mining(SIGKDD2021), 2021.

  37. X. Jiang, N.Wang, J. Xin, K. Li, X. Yang, X.-B. Gao. Training Binary Neural Network without Batch Normalization for Image Super-Resolution.The Thirty-Fifth AAAI Conference on Artificial Intelligence(AAAI-21), pp.1700-1707, 2021.

  38. M. Zhu, C. Liang, N. Wang, X. Wang, Z. Li, X.-B. Gao. A Sketch-Transformer Network for Face Photo-Sketch Synthesis.The 30th International Joint Conference on Artificial Intelligence(IJCAI-21), August 21,2021.

  39. L. Liu, X. Yang, N. Wang, X.-B. Gao. Viewing From Frequency Domain: A DCT-based Information Enhancement Network for Video Person Re-Identification.The 29th ACM International Conference on Multimedia(ACM MM2021), October 20, 2021.

  40. S. Wu, J. Li, L. Qi, Z. Liu, X.-B. Gao. Remote Sensing Imagery Scene Classification Based on Spiking Neural Network.2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, pp.2795-2798, 2021.

  41. D. Wang, Q. Wang, Y. An,X.-B. Gao*, Y. Tian. Online Collective Matrix Factorization Hashing for Large-Scale Cross-Media Retrieval .The 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval(SIGIR2020), pp.1409-1418, July 25-30, 2020, ,Virtual Event, China.

  42. M. Li, C. Deng, T. Li, J. Yan, X.-B. Gao, H. Huang. Towards Transferable Targeted Attack.The IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR2020), 2020, pp. 641-649.

  43. Y. Liu, J. Li,X.-B. Gao. A Simple Discriminative Dual Semantic Auto-encoder for Zero-shot Classification.The IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR2020)Workshop, 2020.

  44. J. Xin, N. Wang, X. Jiang, J. Li,X.-B. Gao, Z. Li. Facial Attribute Capsules for Noise Face Super Resolution.Thirty-fourth AAAI Conference on Artificial Intelligence(AAAI-20), February 7-12, 2020, Hilton New York Midtown, New York, USA.

  45. B. Cao, H. Zhang, N. Wang,X.-B. Gao, Dinggang Shen. Auto-GAN: Self-Supervised Collaborative Learning for Medical Image Synthesis.Thirty-fourth AAAI Conference on Artificial Intelligence(AAAI-20), February 7-12, 2020, Hilton New York Midtown, New York, USA.

  46. J. Xin, N. Wang, X. Jiang, J. Li, H. Huang, and X.-B. Gao. Binarized Neural Network for Single Image Super Resolution.ECCV2020, SEC Scottish Exhibition Center, Glasgow, United Kingdom,August 23-28, 2020.

  47. Y. Huang, J. Li, L. Qi, Y. Wang,X.-B. Gao*. Spatial-Spectral Autoencoder Networks for Hyperspectral Unmixing.International Symposium on Geoscience and Remote Sensing Society(IGRSS2020), 2020.

  48. M. Lei, J. Li, L. Qi, Y. Wang,X.-B. Gao*. Hyperspectral Unmixing via Recurrent Neural Network with Chain Classifier.International Symposium on Geoscience and Remote Sensing Society(IGRSS2020), 2020.

  49. Z. Wei, X. Yang, N. Wang, B. Song and X.-B. Gao. ABP: Adaptive Body Partition Model For Visible Infrared Person Re-Identification.2020 IEEE International Conference on Multimedia and Expo(ICME2020), London, United Kingdom, 2020, pp. 1-6.

  50. Y. Liu, D. Xie, Q. Gao, J. Han, S. Wang, X.-B. Gao. Graph and Autoencoder Based Feature Extraction for Zero-shot Learning.The 28th International Joint Conference on Artificial Intelligence(IJCAI 019), August 10-16, 2019, Macao, China.

  51. X. Ding, N. Wang, X.-B. Gao, J. Li, X. Wang. Group Reconstruction and Max-Pooling Residual Capsule Network.The 28th International Joint Conference on Artificial Intelligence(IJCAI 019), August 10-16, 2019, Macao, China.

  52. M. Zhu, N. Wang, X.-B. Gao, J. Li, Z. Li. Face Photo-Sketch Synthesis via Knowledge Transfer.The 28th International Joint Conference on Artificial Intelligence(IJCAI2019), August 10-16, 2019, Macao, China.

  53. Y. Hao, N.-N. Wang, L. Jie, X.-B. Gao. HSME: Hypersphere Manifold Embedding for Visible Thermal Person Re-identification.The Thirty-Third AAAI Conference on Artificial Intelligence(AAAI-19),January 27 �C February 1, 2019, Honolulu, Hawaii, USA.

  54. J. Xin, N.-N. Wang, L. Jie, X.-B. Gao. Residual Attribute Attention Network for Face Image Super-Resolution.The Thirty-Third AAAI Conference on Artificial Intelligence(AAAI-19),January 27 �C February 1, 2019, Honolulu, Hawaii, USA.

  55. H. Chen, Q. Wu, Y. Liang, X.-B. Gao and H. Wang. Asynchronous Tracking-by-Detection on Adaptive Time Surfaces for Event-based Object Tracking.27th ACM International Conference on Multimedia(ACM MM 2019), pp.473-481, Nice, France from 21-25 October 2019.

  56. Z. Hui, X. Wang, X.-B. Gao, Y.-C. Yang. Lightweight Image Super-Resolution with Information Multi-distillation Network.27th ACM International Conference on Multimedia(ACM MM 2019), Nice, France from 21-25 October 2019.

  57. Y. Hao, N. Wang, X.-B. Gao, J. Li and X. Wang. Dual-alignment Feature Embedding for Cross-modality Person Re-identification.27th ACM International Conference on Multimedia(ACM MM 2019), Nice, France from 21-25 October 2019.

  58. Y. Zhang��L. Qu��L. He*��W. Lu��X.-B. Gao. Beauty Aware Network: An Unsupervised Method for Makeup Product Retrieval.27th ACM International Conference on Multimedia(ACM MM 2019), pp.2558-2562, October 21�C25, 2019, Nice, France.

  59. Z. Zhong, J. Li, Z. Zhang, Z. Jiao, X.-B. Gao. An Attention-Guided Deep Regression Model for Landmark Detection in Cephalograms.Medical Image Computing and Computer Assisted Interventions 2019(MICCAI2019), D. Shen et al. (Eds.): MICCAI 2019, LNCS 11769, pp., Shenzhen, China, Oct. 13-17, 2019.

  60. Y. Liu, J. Li, Y. Wang, M. Wang, X. Li, Z. Jiao, J. Yang, X.-B. Gao. Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants.Medical Image Computing and Computer Assisted Interventions 2019(MICCA 2019), D. Shen et al. (Eds.): MICCAI 2019, LNCS 11769, pp., Shenzhen, China, Oct. 13-17, 2019.

  61. K. Zhang, D. Zhu, J. Jing, X.-B. Gao. Learning a Cascade Rgression for No-reference Super-resolution Image Quality Assessment.IEEE International Conference on Image Processing(ICIP2019), September 22-25, 2019, Taiwan.

  62. Y. Tang, X. Yang, N. Wang, X. Jiang, B. Song, and X.-B. Gao. Person Re-identification with Gradual Background Suppression.IEEE International Conference on Multimedia and Expo(ICME 2019). July 8-12, 2019 Shanghai, China, 2019.

  63. Y. Huang, J, Li, X,-B. Gao, W. Lu, Yanting Hu. Improving Image Super-resolution via Feature Re-Balancing Fusion.2019 IEEE International Conference on Multimedia and Expo(ICME2019), pp.580-585, July 8-12, 2019 Shanghai, China, 2019.

  64. Z. Wang, L. He, X.-B. Gao, Y. Huang. Multi-scale Spatial-temporal Networks for Person Re-identification.2019 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP2019), 12-17 May, 2019, Brighton, UK, pp.2052-2056.

  65. T. Wu, X. Yang, B. Song, N. Wang, X.-B. Gao, L. Kuang, X. Nan, Y. Chen, and D. Yang. T-SCNN: A Two-stage Convolutional Neural Network for Space Target Recognition.IEEE International Geoscience and Remote Sensing Symposium(IGRSS 2019), July 28-August 2, 2019, Yokokama, Japan.

  66. Zhikang Wang, Lihuo He, Xinbo Gao, Yuanfei Huang. Multi-scale Spatial-temporal Network for Person Re-identifiication.IEEE International Geoscience and Remote Sensing Symposium(IGRSS 2019), July 28-August 2, 2019, Yokokama, Japan.

  67. Z. Hui, X.-M. Wang, X.-B. Gao. Fast and Accurate Single Image Super-Resolution via Information Distillation Network.Proceedings of IEEE Computer Vision and Pattern Recognition(CVPR2018), pp.723-731, June 18-22, 2018, Salt Lake City, Utah, USA.

  68. C. Li, C. Deng, N. Li, W. Liu, X.-B. Gao, and D. Tao. Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval.Proceedings of IEEE Computer Vision and Pattern Recognition(CVPR2018), pp.4242-4251, June 18-22, 2018, Salt Lake City, Utah, USA.

  69. D.-C. Liu, N.-N. Wang, C.-L. Peng, J. Li, X.-B. Gao.Deep Attribute Guided Representation for Heterogeneous Face Recognition.Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence(IJCAI-18), pp.835-841, July 13-19 2018, Stockholm, Sweden.

  70. M.-J. Zhang, N.-N. Wang, X.-B. Gao, Y. Li. Markov Random Neural Fields for Face Sketch Synthesis.Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence(IJCAI-18), pp.1142-1148, July 13-19 2018, Stockholm, Sweden.

  71. N. Li, C. Li, C. Deng, X. Liu, X.-B. Gao. Deep Joint Semantic-Embedding Hashing.Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence(IJCAI-18), pp.2397-2403, July 13-19 2018, Stockholm, Sweden.

  72. Z.-Q. Ma, N.-N. Wang, X.-B. Gao, J. Li. From Reality to Perception: Genre-Based Neural Image Style Transfer.Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence(IJCAI-18), pp.3491-3497, July 13-19 2018, Stockholm, Sweden.

  73. B. Cao, Nannan Wang, X.-B. Gao, and J. Li. Asymmetric Joint Learning for Heterogeneous Face Recognition.Thirty-Second AAAI Conference on Artificial Intelligence(AAAI-18), February 2-7, 2018, Hilton New Orleans Riverside, New Orleans, Louisiana, USA.

  74. M. Zhang, N. Wang, Y. Li, R. Wang, and X.-B. Gao. Face Sketch Synthesis from Coarse to Fine.Thirty-Second AAAI Conference on Artificial Intelligence(AAAI-18), February 2-7, 2018, Hilton New Orleans Riverside, New Orleans, Louisiana, USA.

  75. Z. Sun, X.-B. Gao, D. Zhang. A Nonlocal Operator Model for Morphological Image Processing.2017 IEEE International Conference on Image Processing(ICIP2017), p 230-234, February 20, 2018.

  76. R. Wang, W. Lu J. Yang, Y. Huang, X.-B. Gao, L. He. Single Image Super Resolution based on Deep Residual Network via Lateral Modules.The 25th IEEE International Conference on Image Processing(ICIP2018), pp.3568-3572, Athens, Greece, October 7-10, 2018.

  77. Z. Zhou, W. Lu, L. He, J. Yang, X.-B. Gao. Blind Image Quality Assessment Based on Visuo-Spatial Series Statistics.2018 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP20018), pp.3161-3165, 15-20 April 2018.

  78. Y. Zhang, X. Wang, and X.-B. Gao. Adaptive Latent Representation for Multi-view Subspace Learning.2018 24th International Conference on Pattern Recognition(ICPR2018), Beijing, China, August 20-24, pp.1229-1234, 2018.

  79. Z. Hui, X. Wang, and X.-b. Gao. Two-Stage Convolutional Network for Image Super-Resolution.2018 24th International Conference on Pattern Recognition(ICPR2018), Beijing, China, August 20-24, pp.2670-2675, 2018.

  80. X. Yang, X.-b. Gao, B. Song, N. Wang, and D. Yang. Saliency Deep Embedding for Aurora Image Search.2018 IEEE International Conference on Multimedia and Expo(ICME2018), pp.1-6, 2018.

  81. Z.-X. Niu, M. Zhou, L. Wang, X.-B. Gao, G. Hua. Hierarchical Multimodal LSTM for Dense Visual-Semantic Embedding.International Conference on Computer Vision(ICCV2017), October 22-29, 2017, Venice, Italy.

  82. Q.-Q. Wang, Q.-X. Gao, X.-B. Gao, F.-P. Nie. Angle Principal Component Analysis.The 26th International Joint Conference on Artificial Intelligence(IJCAi2017), pp.2836-2942, August 19-25, Melbourne, Australia.

  83. J. Xu, C. Deng, X.-B. Gao, D.-G. Shen, H. Huang. Predicting Alzheimer's Disease Cognitive Assessment via Robust Low-Rank Structured Sparse Model.The 26th International Joint Conference on Artificial Intelligence(IJCAi2017), pp.3880-3886, August 19-25, Melbourne, Australia.

  84. M.-R. Zhu, N.-N. Wang, J. Li, X.-B. Gao. Deep Graphical Feature Learning for Face Sketch Synthesis.The 26th International Joint Conference on Artificial Intelligence(IJCAi2017), , pp.3574-3580, August 19-25, Melbourne, Australia.

  85. E. Yang, C. Deng, W. Liu, X. Liu, D. Tao, X.-B. Gao. Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval.Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence(AAAI-17), pp.1618-1625, February 4-9, 2017, San Francisco, California, USA.

  86. Z.-X. Niu, M. Zhou, L. Wang, X.-B. Gao and G. Hua. Ordinal Regression with Multiple Output CNN for Age Estimation.2016 IEEE Conference on Computer Vision and Pattern Recognition(CVPR2016), 2016.

  87. B. Han, L. Zhang, X.-B. Gao, Dacheng Tao and Xiaojing Zhao. Embedded Locality Discriminant GPLVM for Dimensionality Reduction,IJCNN2016,, pp.2431-2437, July 24-29, 2016, Vancouver, Canada.

  88. H. Wang, C. Deng, H. Zhang, X,-B. Gao, H. Huang. Drosophila Gene Expression Pattern Annotations via Multi-Instance Biological Relevance Learning.Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence(AAAI-16), pp.1324-1330, February 12�C17, 2016, Phoenix, Arizona USA

  89. F. Nie, H. Wang, C. Deng, X.-B. Gao, X. Li, H. Huang. New l1-Norm Relaxations and Optimizations for Graph Clustering.Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence(AAAI-16), pp.1963-1968, February 12�C17, 2016, Phoenix, Arizona USA

  90. Y. Mu, W. Liu, C. Deng, Z. Lv, X.-B. Gao. Coordinate Discrete Optimization for Efficient Cross-View Image Retrieval.Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence(IJCAI2016), pp.1860-1866, July 9-15, 2016, New York, USA

  91. D. Wang, X.-B. Gao, X.-M. Wang, L.-H. He. Semantic Topic Multimodal Hashing for Cross-media Retrieval.Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence(IJCAI2015), pp.3890-3896, Buenos Aires, Argentina, 2015.

  92. C. Deng, Z.-T. Lv , W. Liu, J.-Z. Huang, D.-C. Tao, X.-B. Gao. Multi-View Matrix Decomposition: A New Scheme for Exploring Discriminative Information,Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence(IJCAI2015), pp.3438-3444, Buenos Aires, Argentina, 2015.

  93. S.-H. Ye, C. Deng, J. Xu, and X.-B. Gao. Coupled Fisher Discrimination Dictionary Learning for Single Image Super-resolution.2015 IEEE International Conference on Acoustics, Speech and Signal Processing(ICASSP)2015, pp.1196-1200, 19-24 April 2015, South Brisbane, Queensland, Australia

  94. X. Tang, C. Deng, X.-B. Gao. Discriminative Latent Feature Space Learning for Cross-Modal Retrieval.Proceedings of the 5th ACM on International Conference on Multimedia Retrieval(ACM ICMR2015), pp.507-510, June 23-26, Shanghai, China, 2015.

  95. B. Han, X.-B. Gao, et al. Auroral Oval Boundary Modeling Based on Deep Learning Method.Proceedings of Internation Conference on Intelligence Science and Big Data Engineering(IScIDE 2015), part II, LNCS 9243, pp. 96�C106, 2015.

  96. Z.-X. Niu, S.-L. Zhang, X.-B. Gao, Q. Tian. Personalized Visual Vocabulary Adaption for Social Image Applications.Proceedings of the ACM International Conference on Multimedia(ACM MM2014), pp.993-996, 2014.

  97. Z.-X. Niu, G. Hua, X.-B. Gao, Q. Tian. Semi-supervised Relational Topic Model for Weakly Annotated Image Recognition in Social Media.IEEE Conference on Computer Vision and Pattern Recognition(CVPR2014), pp.4321-4328, Columbus, Ohio, July 24-27, 2014.

  98. W.-L. Hou, X.-B. Gao. Be Natural: A Saliency-guided Deep Framework for Image Quality.The 2014 IEEE International Conference on Multimedia & Expo(ICME2014), pp.1-6, (DOI: 10.1109/ICME.2014.6890168), Chengdu, China, July 14-18, 2014.

  99. C.-L. Peng, X.-B. Gao, N.-N. Wang, J. Li. Multi-view Representation based Face Sketch-Photo Synthesis.International Conference on Internet Multimedia Computing and Service(ACM ICIMCS��14), pp.307312, July 10�C12, 2014, Xiamen, Fujian, China.

  100. Aiman Mousa, X.-B. Gao, Mohamed Elmahalawy. Single Image Super-resolution Reconstruction with Neural Network and Gaussian Process Regression.International Conference on Internet Multimedia Computing and Service(ACM ICIMCS��14), pp.386-390, July 10�C12, 2014, Xiamen, Fujian, China.

  101. J. Xu, C. Deng, X.-B. Gao, et al. Image Super-Resolution Using Multi-layer Support Vector Regression.39th International Conference on Acoustics, Speech and Signal Processing(ICASSP2014),Florence, Italy, May 4-9, pp.5799-5803, 2014.

  102. J.-G. Shen, Z.-Y. Cheng, J.-L. Shen, T. Mei, X.-B. Gao. The Evolution of Research on Multimedia Travel Guide Search and Recommender Systems.MultiMedia Modeling(MMM2014), Part II, Lecture Notes in Computer Science, Volume LNCS 8326, pp.227-238, 2014.

  103. C. Deng, R. Ji, W. Liu, D. Tao, X.-B. Gao.Visual Reranking through Weakly Supervised Multi-Graph Learning.International Conference on Computer Vision(ICCV 2013), pp.2600-2607, Sydney, Australia, 2013

  104. J.-L. Wang, C. Deng, W. Liu, R.-R. Ji, X.-Y. Chen, X.-B. Gao. Query-dependent visual dictionary adaptation for image reranking.Proceedings of the 21st ACM international conference on Multimedia(ACM MM2013),Pages 769-772 , 2013

  105. J.-G. Shen, T. Mei, Q. Tian, X.-B. Gao. Image Search Reranking with Multi-latent Topical Graph.2013 IEEE International Symposium on Circuits and Systems(ISCAS2013), May 19-23, 2013, Beijing, China.

  106. L.-L. An, G.-X. Yin, X.-B. Gao. Graph matching with geometric constraints for near-duplicated image retrieval.Proceedings of the Fifth International Conference on Internet Multimedia Computing and Service(ICIMC2013), pp.174-177, Huangshan, China, 2013

  107. K.-B. Zhang, X.-B. Gao, D. Tao and X. Li. Image Super-resolution via Non-local Seering Kernel Regression Based Regularization.International Conference on Image Processing(ICIP2013). Melbourne, Australia, 2013.

  108. H. Peng, C. Deng, L. An, X.-B. Gao, D. Tao. Learning to Multimodal Hash for Robust Video Copy Detection.International Conference on Image Processing(ICIP2013). Melbourne, Australia, 2013.

  109. Z.-X. Niu, G. Hua, X.-B. Gao and Q. Tian. Context Aware Topic Model for Scene Recognition.Proceedings of Computer Vision and Pattern Recognition(CVPR2012), pp.2743-2750, Providence, Rhode Island, 16-21 June, 2012, USA.

  110. K.-B. Zhang, X.-B. Gao, et al. Multi-scale Dictionary for Single Image Super-resolution.Proceedings of Computer Vision and Pattern Recognition(CVPR2012), pp.1114-1121, Providence, Rhode Island, 16-21 June, 2012, USA.

  111. L.-H. He, D. Tao, X. Li, X.-B. Gao. Sparse Representation for Blind Image Quality Assessment.Proceedings of Computer Vision and Pattern Recognition(CVPR2012), pp.1146-1153, Providence, Rhode Island, 16-21 June, 2012, USA.

  112. L.-H. He, D. Wang, X. Li, D. Tao, X.-B. Gao, and F. Gao. Color Fractal Structure Model for Reduced-Reference Colorful Image Quality Assessment.International Conference on Neural Information Processing(ICONIP2012), Part II, Lecture Notes in Computer Science, LNCS 7664, pp. 401-408, 2012.

  113. F. Gao, D. Tao, X. Li, X.-B. Gao, and L.-H. He. Local Structure Divergence Index for Image Quality Assessment.International Conference on Neural Information Processing(ICONIP2012), Part V, Lecture Notes in Computer Science, LNCS 7667, pp.337-344, 2012.

  114. X.-Y. Wang, X.-B. Gao, R. Zong. Energy-Efficient Deployment of Airships for High Altitude Platforms: A Deterministic Annealing Approach.IEEE GLOBECOM 2011 - Wireless Communications Symposium-IEEE GLOBECOM 2011 - Wireless Communications Symposium,Houston, USA, 2011.

  115. Q.-Y. Caitian, Y.-Z. Li, X.-B. Gao, C. Chen. Relay Searching for Distributed Space-Time Coding in Decentralized Ad hoc Networks.The 6th International ICST Conference on Communications and Networking(ChinaCom2011),August 17-19, 2011, Harbin, China.

  116. J. Zhang, N. Wang, Xinbo Gao, D. Tao, and X. Li. Face Sketch-photo Synthesis based on Support Vector Regression.IEEE International Conference on Image Processing(ICIP 2011), pp.1149-1152, September 11-14, 2011, Brussels, Belgium.

  117. G. Mu, Xinbo Gao, K. Zhang, D. Tao, and X. Li. Single Image Super Resolution with High Resolution Dictionary.IEEE International Conference on Image Processing(ICIP 2011), September 11-14, 2011, Brussels, Belgium.

  118. Z.-X. Niu, G. Hua, X.-B. Gao, Q. Tian. Spatial-DiscLDA for Visual Recognition.CVPR2011,Colorado Springs, US, pp.1769-1776..

  119. Z.-X. Niu, Q. Tian, X.-B. Gao. Real-World Trajectory Extraction for Attack Pattern Analysis in Soccer Video. Proceedings ofACM International Conference on Multimedia 2010(MM2010),pp.635-638, 25-29 October 2010, Firenze, Italy. (Accept Rate: 16%)

  120. Y. Su, Y. Fu, Q. Tian, and X.-B. Gao, "Cross-database Age Estimation Based on Transfer Learning,"IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP2010), pp. 1270-1273, March 14-19, 2010, Dallas, TX.

  121. B. Han, X.-B. Gao, Vincent Walsh, Lili Tcheang. A Saliency Map Method with Cortex-like Mechanisms and Sparse Representation.Proceedings of the ACM International Conference on Image and Video Retrieval(CIVR2010),pp.259-265, July 5-7, 2010, Xi'an, China. (Accept Rate: 34%)

  122. Y.-R Wang, X.-B. Gao,et al.Dayside Corona Aurora Classification Based on X-Gray Level Aura Matrices.Proceedings of the ACM International Conference on Image and Video Retrieval(CIVR2010),pp.282-287, July 5-7, 2010, Xi'an, China. (Accept Rate: 34%)

  123. C.-N. Tian, G. Fan, X.-B. Gao. Multi-view face recognition by nonlinear tensor decomposition.International Conference on Pattern Recognition(ICPR2008), December, 2008

  124. W. Lu, X.-B. Gao,andet al.An image quality assessment metric based on contourlet. 2008IEEE International Conference on Image Processing(ICIP2008), October 12-15, 2008, San Diego, California, U.S.A., pp.1172-1175.

  125. C. Deng, X.-B. Gao, andet al.Geometrically invariant watermarking using affine covariant regions. 2008IEEE International Conference on Image Processing(ICIP2008), October 12-15, 2008, San Diego, California, U.S.A., pp.413-416.

  126. X. Li, Wen Lu, D. Tao, X.-B. Gao. An image quality assessment based on wavelet structure.2008 IEEE International Conference on Systems, Man, and Cybernetics(SMC 2008), Singapore, 12-15 October 2008, pp.2246-2251.

  127. Y. Su, X.-B. Gao, andet al.Gabor-based texture representation in AAMs.2008 IEEE International Conference on Systems, Man, and Cybernetics(SMC 2008), Singapore, 12-15 October 2008, pp.2236-2240.

  128. Y. Wang, X.-B. Gao, J. Li, A feature analysis approach to mass detection in mammography based on RF-SVM,International Conference on Image Processing(ICIP2007), V9-V12, September 16-19, 2007, San Antonio, Texas, USA.

  129. J. Wang, X.-B. Gao, J. Zhong, A video watermarking based on 3-D complex wavelet,International Conference on Image Processing(ICIP2007), V493-V496, September 16-19, 2007, San Antonio, Texas, USA.

  130. J. Zhong, X.-B. Gao, C.-N. Tian. Face Sketch Synthesis Using E-HMM and Selective Ensemble.2007 IEEE International Conference on Acoustics, Speech, and Signal Processing(ICASSP2007), pp.I-485-I-488, April.15-20, 2007, Honolulu, Hawaii, USA.

  131. C.-N. Tian, X.-B. Gao, J. Li. A valid multi-view face detection tree based on FloatBoost learning.International Conference on Image Processing(ICIP2006), pp.2653-2656, Atlanta, GA, USA, Oct.8-11, 2006

  132. F.-F. Huo, X.-B. Gao. A wavelet based image watermarking scheme.International Conference on Image Processing(ICIP2006), pp.2573 - 2576, Atlanta, GA, USA, Oct.8-11, 2006

  133. J. Li, X.-B. Gao, L. Jiao. A novel clustering method based on SVM.Proceedings of International Symposium on Neural Networks(ISNN), Chongqing, China, 2004. J. Wang, X. Liao, and Z. Yi (Eds.): ISNN2005, LNCS 3497, pp.57-62, 2005. Springer-Verlag 2005

  134. B. Han, X.-B. Gao, H. Ji. Automatic news audio classification based on selective ensemble SVMs.Proceedings of International Symposium on Neural Networks(ISNN2005), Chongqing, China, 2004. J. Wang, X. Liao, and Z. Yi (Eds.): ISNN 2005, LNCS 3497, pp.363-368, 2005. Springer-Verlag Berlin Heidelberg 2005

  135. J. Li, X.-B. Gao, L. Jiao. A novel clustering method with network structure based on clonal algorithm.Proceedings of International Conference on Acoustics, Speech, and Signal Processing(ICASSP2004), May 17-21, 2004, Quebec, Canada.

    136.

[top]

 ��
�� [Home|Resume|Grants|Publications|Schedule|Research|Teaching|VIPSL|SEE|Xidian] ��
Baidu
map