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个人信息：Personal Information
副教授 研究生导师
性别：男
毕业院校：西安电子科技大学
学历：博士研究生毕业
学位：工学博士学位
在职信息：在岗
所在单位：电子工程学院
入职时间：2021-08-05
学科：电路与系统
联系方式：yangxu@xidian.edu.cn
电子邮箱：
其他联系方式Other Contact Information
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个人简介：Personal Profile
杨旭，副教授（华山学者菁英副教授）。硕士生导师，主要从事多模态内容理解、机器学习、计算机视觉等相关领域的研究，在相关领域发表论文30余篇，其中包括IEEE Trans.权威期刊（TPAMI、TNNLS和TIP等）和CCF-A顶级会议（CVPR、NeurIPS、和AAAI等），ESI高被引1篇。主持国家自然科学基金项目，作为核心成员参与国家自然科学基金重点基金，国家重点研发计划等项目多项。曾入选陕西省科协青年人才托举工程，获陕西省自然科学奖一等奖、2021 ACM XI’AN优博奖以及2021年吴文俊人工智能科学技术奖优秀博士论文奖。担任TPAMI, TIP, TCYB, TNNLS, CVPR, AAAI, NeurIPS, ICML等期刊和会议审稿人和（高级）程序委员。英文主页：https://scholar.google.com/citations?user=Uc3piAIAAAAJ&hl=en
研究成果：
1. Unsupervised Structure-Adaptive Graph Contrastive Learning
H. Zhao,X. Yang, C. Deng, D. Tao
IEEE Trans. Neural Netw. Learn. Syst., 2023.(IF20=10.451)
2. Dual-Stream Contrastive Learning for Compositional Zero-Shot Recognition
Y. Yang, R. Pan, X. Li,X. Yang, C. Deng
IEEE Trans. Multimed., 2023.(IF20=8.182)
3. Point-Supervised Video Temporal Grounding
Z. Xu, K. Wei,X. Yang, C. Deng
IEEE Trans. Multimed., 2022.(IF20=8.182)
4. Object-Agnostic Transformers for Video Referring Segmentation
X. Yang, H. Wang, D. Xie, C. Deng, and D. Tao
IEEE Trans. Image Process., 2022.(IF20=10.856)
5. Incremental Zero-Shot Learning
K. Wei, C. Deng,X. Yang, and D. Tao
IEEE Trans. Cybern., 2021.(IF20=11.448)
6. Self-Training with Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-identification
H. Zhang, H. Cao,X. Yang, C. Deng and D. Tao
IEEE Trans. Image Process., 30: 5287-5298, 2021.(IF20=10.856)
7. Deep Multi-View Collaborative Clustering
X. Yang, C. Deng, Z. Dang, and D. Tao
IEEE Trans. Neural Netw. Learn. Syst., 2021.(IF20=10.451)
8. Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation
X. Yang, C. Deng, T. Liu, and D. Tao
IEEE Trans. Pattern Anal. Mach. Intell., 2020. (IF20=16.389)
9. Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking
C. Deng,X. Yang, F. Nie, and D. Tao
IEEE Trans. Multimed., 2019. (IF20=6.513)
10. New L21-Norm Relaxation of Multi-Way Graph Cut for Clustering
X. Yang, C. Deng, X. Liu, and F. Nie
In AAAI Conference on Artificial Intelligence (AAAI), 2018.
11. Deep Spectral Clustering Using Dual Autoencoder Network
X. Yang, C. Deng, F. Zheng, J. Yan, and W. Liu
In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.
12. Multi-Scale Fusion Subspace Clustering Using Similarity Constraint
Z. Dang, C. Deng,X. Yang, H. Huang
In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2020.
13. Lifelong Zero-shot Learning
K. Wei, C. Deng,X. Yang
In International Joint Conference on Artificial Intelligence (IJCAI), 2020.
14. Adversarial Learning for Robust Deep Clustering
X. Yang, C. Deng, K. Wei, J. Yan, and W. Liu
In Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.
15. Incremental Embedding Learning via Zero-Shot Translation
K. Wei, C. Deng,X. Yangand M. Li
In AAAI Conference on Artificial Intelligence (AAAI), 2021.
16. SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network[Paper][Code]
X. Yang, C. Deng, Z. Dang, K. Wei, and J. Yan
In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2021.
17. Nearest Neighbor Matching for Deep Clustering
Z. Dang, C. Deng,X. Yang, K. Wei, H. Huang
In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2021.
18. Graph Debiased Contrastive Learning with Joint Representation Clustering[Code]
H. Zhao,X. Yang, Z. Wang, E. Yang, and C. Deng
In 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.
19. Learning Universal Adversarial Perturbation by Adversarial Example
M. Li, Y. Yang, K. Wei,X. Yang, and H. Huang
In AAAI Conference on Artificial Intelligence (AAAI), 2022.
20. Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency
Y. Gu,X. Yang, K. Wei, and C. Deng
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
21. Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
X. Li,X. Yang, K. Wei, C. Deng, and M. Yang
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
22. Attention-guided Contrastive Hashing for Long-tailed Image Retrieval
X. Kou, C. Xu,X. Yangand C. Deng
In 31th International Joint Conference on Artificial Intelligence (IJCAI), 2022.
23. Exploring Safety Supervision for Continual Test-time Domain Adaptation
X. Yang, Y. Ya, K. Wei and C. Deng
In 32th International Joint Conference on Artificial Intelligence (IJCAI), 2023.
24. Dynamic Reactive Spiking Graph Neural Network
H. Zhao,X. Yang, C. Deng, and J. Yan.
In Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.
25. Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation
F. Wan, H. Zhao,X. Yang, and C. Deng
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
26. Long-Tail Class Incremental Learning via Independent Sub-prototype Construction
X. Wang,X. Yang, J. Yin, K. Wei, and C. Deng
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
27.A Versatile Framework for Continual Test-Time Domain Adaptation: BalancingDiscriminability and Generalizability
X. Yang, X. Chen, M. Li, K. Wei, and C. Deng
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
28. Unsupervised Graph Transformer with Augmentation-Free Contrastive Learning
H. Zhao,X. Yang, K. Wei, C. Deng, and D. Tao
IEEE Trans. Knowl. Data Eng., 2024. (IF22=8.9)
29. Class-Incremental Unsupervised Domain Adaptation via Pseudo-Label Distillation
K. Wei,X. Yang, Z. Xu, and C. Deng
IEEE Trans. Image Process., 33: 1188-1198, 2024. (IF21=11.041)
30. Robust Commonsense Reasoning Against Noisy Labels Using Adaptive Correction
X. Yang,C. Deng,K. Wei andD. Tao
IEEE Trans. Cybern., 2024.(IF21=19.118)