Jing Bai*, Anran Yuan, Zhu Xiao, Huaji Zhou, Dingchen Wang, Hongbo Jiang, LichengJiao. Class Incremental Learning with Few-Shots Based on Linear Programming for Hyperspectral Image Classification. IEEE Transactions on Cybernetics, vol. 52, no.6, 2022, pp. 5474- 5485.(中科院SCI一区, IF: 19.118)NEW!
Jing Bai*, Yiran Wang, Zhu Xiao, et al., RffAe-S: Autoencoder Based on Random Fourier Feature with Separable Loss for Unsupervised Signal Modulation Clusterin, IEEE Transactions on Industrial Informatics, online, May. 2022, DOI: 10.1109/TII.2022.3171349. (中科院一区, IF: 10.215)NEW!
Yiran Wang, Jing Bai*, Zhu Xiao, Huaji Zhou, Licheng Jiao. MsmcNet: A Modular Few-shot Learning Framework for Signal Modulation Classification, IEEE Transactions on Siganl Processing, DOI:10.1109/TSP.2022.3191783. (中科院二区, IF: 4.875)NEW!
Jing Bai*, Shaojie Huang, Zhu Xiao, et al., Few-Shot Hyperspectral Image Classification Based on Adaptive Subspaces and Feature Transformation, IEEE Transactions on Geoscience and Remote Sensing, online, Feb. 2022, DOI: 10.1109/TGRS.2022.3149947. (中科院二区, IF: 8.125)NEW!
Jing Bai, Wei Shi, Zhu Xiao, Amelia C Regan, Talal Ahmed Ali Ali, Yongdong Zhu, Rui Zhang, Licheng Jiao. Hyperspectral Image Classification based on Superpixel Feature Subdivision and Adaptive Graph Structure. IEEE Transactions on Geoscience and Remote Sensing, online, Feb. 2022. DOI: 10.1109/TGRS.2022.3153446. (中科院二区, IF: 8.125)NEW!
Jing Bai, Jiawei Lu, Zhu Xiao, Zheng Chen, Licheng Jiao. Generative Adversarial Networks Based on Transformer Encoder and Convolution Block for Hyperspectral Image Classification, Remote Sensing, 2022, DOI: 10.3390/rs14143426. (中科院二区, IF: 5.349)NEW!
Huaji Zhou, Jing Bai*, Linchun Niu, Jie Xu, Zhu Xiao, Shilian Zheng, Licheng Jiao and Xiaoniu Yang. Electromagnetic Signal Classification Based on Class Exemplar Selection and Multi-Objective Linear Programming. Remote Sens. Jan. 2022, 14(5), 1177, DOI: 10.3390/rs14051177. (中科院二区, IF: 5.349)NEW!
Huaji Zhou, Jing Bai*, Yiran Wang, Junjie Ren, Xiaoniu Yang, Licheng Jiao. Deep Radio Signal Clustering with Interpretability Analysis Based on Saliency Map, Digital Communications and Networks, 2022, submitted.NEW!
Jing Bai*, Bixiu Ding, Zhu Xiao, Licheng Jiao, Hongyang Chen, and Amelia C. Regan. Hyperspectral Image Classification Based on Deep Attention Graph Convolutional Network. IEEE Transactions on Geoscience and Remote Sensing, online, Mar. 2021, DOI: 10.1109/TGRS.2021.3066485.(中科院二区, IF: 8.125)入选全球ESI TOP 1%高被引论文
Jing Bai*, Junjie Ren, Yujia Yang, Zhu Xiao, Wentao Yu, Vincent Havyarimana, and Licheng Jiao. Object Detection in Large-Scale Remote-Sensing Images Based on Time- Frequency Analysis and Feature Optimization. IEEE Transactions on Geoscience and Remote Sensing, online, Oct. 2021,DOI: 10.1109/TGRS.2021.3119344.(中科院二区, IF: 8.125)
Huaji Zhou, Jing Bai*, Yiran Wang, Licheng Jiao, Shilian Zheng, Weiguo Sheng, Jie Xu, Xiaoniu Yang, Few-shot electromagnetic signal classification: A data union augmentation method. Chinese Journal of Aeronautics, online, Sep. 2021. DOI: 10.1016/j.cja.2021.07.014.(中科院一区)
Fan Zhang, Jing Bai*, Jingsen Zhang, Zhu Xiao. An Optimized Training Method for GAN-Based Hyperspectral Image Classification. IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 10, pp. 1791-1795, Oct. 2021, DOI: 10.1109/LGRS.2020.3009017.
Size Liu, Bixiu Ding,Jing Bai*, Zhu Xiao. Hyperspectral Image Classification Based on Extended Morphological Profile Features and Ghost Module, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Brussels, Belgium, 2021, July.
Jing Bai*, Wentao Yu, Anran Yuan and Zhu Xiao, Airplane Detection in Optical Remote Sensing Video Using Spatial and Temporal Features, 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow, UK, 2020. July, 20006630.
Zhu Xiao, Fancheng Li; Hongbo Jiang,Jing Bai, Jisheng Xu, Fanzi Zeng, Min Liu. A Joint Information and Energy Cooperation Framework for CR-Enabled Macro-Femto Heterogeneous Networks, IEEE Internet of Things Journal, vol. 7, no. 4, pp. 2828-2839, April 2020, DOI: 10.1109/JIOT.2019.2962863.
Wentao Yu,Jing Bai*and Licheng Jiao, "Background Subtraction Based on GAN and Domain Adaptation for VHR Optical Remote Sensing Videos," IEEE Access, vol. 8, pp. 119144-119157, 2020, doi: 10.1109/ACCESS.2020.3004495.
Vincent Havyarimana, Zhu Xiao*, Alexis Sibomana, Di Wu, andJing Bai. "A Fusion Framework based on Sparse Gaussian-Wigner Prediction for Vehicle Localization using GDOP of GPS Satellites". IEEE Transactions on Intelligent Transportation Systems, Feb., 2020, Vol. 21, No. 2, pp: 680-689.
Fan Zhang,Jing Bai*, Xiaoyu Li, Changxing Pei, Vincent Havyarimana. An Ensemble Cascading Extremely Randomized Trees Framework for Short-Term Traffic Flow Prediction. KSII Transactions on Internet and Information Systems, vol. 13, no. 4, pp. 1975-1988, Apr. 2019, DOI:10.3837/tiis.2019.04.013.
Jianhua Xiao, Zhu Xiao*, Dong Wang,Jing Bai, Vincent Havyarimana, Fanzi Zeng. Short-term traffic volume prediction by ensemble learning in concept drifting environments. Knowledge-Based Systems, vol. 164, no. 15, Jan. 2019, pp. 213-225. DOI: 10.1016/j.knosys.2018.10.037.
Yourong Huang, Zhu Xiao*, Xiaoyou Yu, Dong Wang, Vincent Havyarimana,Jing Bai. "Road Network Construction with Complex Intersections based on Sparsely-Sampled Private Car Trajectory Data". ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 13, No. 3, Article 35. June 2019, 28 pages. https://doi.org/10.1145/3326060
Jie Chen; Zhu Xiao*; Dong Wang; Daiwu Chen; Vincent Havyarimana;Jing Bai; Hongyang Chen. "Towards Opportunistic Compression and Transmission for Private Car Trajectory Data Collection". IEEE Sensors Journal, March 1, 2019, 19(5): 1925-1935.
Jing Bai*, Shu Song. "Medical Image Denoising Based on Sparse Dictionary Learning and Cluster Ensemble", Soft Computing. 2018, 22(5): 1467-1473.
Wei Zhao, Liangjie Xu,Jing Bai*, Jiateng Yin, Bin Ran, "Sensor-Based Risk Perception Ability Network Design for drivers in Snow and Ice Environmental Freeway: A Deep Learning and Rough Sets Approach". Soft Computing, 2018, 22(5): 1457–1466. (SCI, IF: 2.47).
Jing Bai*, Bin Liu, Lei Wang, Licheng Jiao. "PolSAR image compression based on online sparse K-SVD dictionary learning". Multimedia Tools and Applications, 2017, 76(23): 24859-24870.
Jing Bai*,Shu Song, Ting Fan, Licheng Jiao. "Medical Image Denoising Based on Sparse Dictionary Learning and Cluster Ensemble", Soft Computing[J], 2017, 11: 1-7. (SCI, IF: 2.47)
Jing Bai*, Yanchao Sun, Ting Fan, Shu Song, Xiangrong Zhang, "Medical Image Denoising Based on Improving K-SVD and Block-Matching 3D filtering". IEEE TENCON 2016.
Lei Wang, JingBai, JiajiWu, GwanggilJeon. "Hyperspectral image compression based on lapped transform and Tucker decomposition", Signal Processing: Image Communication, 2015, 36: 63-69. (SCI, IF: 2.244)
Jing Bai*, Huaji Zhou. Edge Detection Approach Based on Directionlet Transform. ICMT 2011, pp: 3512-3515, 2011.大会报告(EI: 20113814352569)
Bai Jing*, Zhao Jiaqi, Jiao LC. Image Segmentation Using Directionlet-domain Hidden Markov Tree Models. RADAR 2011, pp: 1615-1618, 2011大会报告(EI:20121314908205)
Bai Jing*, Zhao Baini, Jiao LC. An adaptive remote sensing image fusion algorithm based on Directionlet. SPIE MIPPR 2011, 80061L.大会报告(EI: 20115214642366)
Xiao Zhu*, Bai Jing, Ma GuanYi, Research on positioning enhancement scheme of CAPS via UWB pseudolite, Science China: Physics, Mechanics and Astronomy, 55(4), pp: 733-737, 2012
Jiao Licheng*, Wang Lei, Wu Jiaji, Bai Jing, Shape-Adaptive Reversible Integer Lapped Transform for Lossy-to-Lossless ROI Coding of Remote Sensing Two-Dimensional Images, IEEE Geoscience and Remote Sensing Letters, 8(2), pp: 326-330, 2011 (SCI: 000287659300029)
Jing Bai*, Xiaohua Wang, and Licheng Jiao. Image Retrieval Based on Color Features Integrated with Anisotropic Directionality. Journal of Systems Engineering and Electronics. Vol. 21, No. 1, pp: 127-133, 2010. (SCI:000275054600020, EI:20103613216637)
Liu, Fang, Bai Jing*. Image Fusion Based on Muti-directional Multiscale Analysis and Immune Optimization, Chapter 10 of the book 《IMAGE FUSION》, ISBN 978-953-307-679-9, Publisher: InTech, Publishing date: January 2011.