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. 1. Unsupervised Structure-Adaptive Graph Contrastive Learning
   

2. H. Zhao,X. Yang, C. Deng, D. Tao
   

3. IEEE Trans. Neural Netw. Learn. Syst., 2023.(IF20=10.451)

4. 2. Dual-Stream Contrastive Learning for Compositional Zero-Shot Recognition
   

5. Y. Yang, R. Pan, X. Li,X. Yang, C. Deng
   

6. IEEE Trans. Multimed., 2023.(IF20=8.182)

7. 3. Point-Supervised Video Temporal Grounding
   

8. Z. Xu, K. Wei,X. Yang, C. Deng
   

9. IEEE Trans. Multimed., 2022.(IF20=8.182)

10. 4. Object-Agnostic Transformers for Video Referring Segmentation
    

11. X. Yang, H. Wang, D. Xie, C. Deng, and D. Tao
    

12. IEEE Trans. Image Process., 2022.(IF20=10.856)

13. 5. Incremental Zero-Shot Learning
    

14. K. Wei, C. Deng,X. Yang, and D. Tao
    

15. IEEE Trans. Cybern., 2021.(IF20=11.448)

16. 6. Self-Training with Progressive Representation Enhancement for Unsupervised Cross-Domain Person Re-identification
    

17. H. Zhang, H. Cao,X. Yang, C. Deng and D. Tao
    

18. IEEE Trans. Image Process., 30: 5287-5298, 2021.(IF20=10.856)

19. 7. Deep Multi-View Collaborative Clustering
    

20. X. Yang, C. Deng, Z. Dang, and D. Tao
    

21. IEEE Trans. Neural Netw. Learn. Syst., 2021.(IF20=10.451)

22. 8. Heterogeneous Graph Attention Network for Unsupervised Multiple-Target Domain Adaptation
    

23. X. Yang, C. Deng, T. Liu, and D. Tao
    

24. IEEE Trans. Pattern Anal. Mach. Intell., 2020. (IF20=16.389)

25. 9. Saliency Detection via a Multiple Self-Weighted Graph-Based Manifold Ranking
    

26. C. Deng,X. Yang, F. Nie, and D. Tao
    

27. IEEE Trans. Multimed., 2019. (IF20=6.513)

28. 10. New L21-Norm Relaxation of Multi-Way Graph Cut for Clustering
    

29. X. Yang, C. Deng, X. Liu, and F. Nie
    

30. In AAAI Conference on Artificial Intelligence (AAAI), 2018.

31. 11. Deep Spectral Clustering Using Dual Autoencoder Network
    

32. X. Yang, C. Deng, F. Zheng, J. Yan, and W. Liu
    

33. In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2019.

34. 12. Multi-Scale Fusion Subspace Clustering Using Similarity Constraint
    

35. Z. Dang, C. Deng,X. Yang, H. Huang
    

36. In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2020.

37. 13. Lifelong Zero-shot Learning
    

38. K. Wei, C. Deng,X. Yang
    

39. In International Joint Conference on Artificial Intelligence (IJCAI), 2020.

40. 14. Adversarial Learning for Robust Deep Clustering
    

41. X. Yang, C. Deng, K. Wei, J. Yan, and W. Liu
    

42. In Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), 2020.

43. 15. Incremental Embedding Learning via Zero-Shot Translation
    

44. K. Wei, C. Deng,X. Yangand M. Li
    

45. In AAAI Conference on Artificial Intelligence (AAAI), 2021.

46. 16. SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network[Paper][Code]
    

47. X. Yang, C. Deng, Z. Dang, K. Wei, and J. Yan
    

48. In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2021.

49. 17. Nearest Neighbor Matching for Deep Clustering
    

50. Z. Dang, C. Deng,X. Yang, K. Wei, H. Huang
    

51. In IEEE International Conference on Pattern Recognition and Computer Vision (CVPR), 2021.

52. 18. Graph Debiased Contrastive Learning with Joint Representation Clustering[Code]
    

53. H. Zhao,X. Yang, Z. Wang, E. Yang, and C. Deng
    

54. In 30th International Joint Conference on Artificial Intelligence (IJCAI), 2021.

55. 19. Learning Universal Adversarial Perturbation by Adversarial Example
    

56. M. Li, Y. Yang, K. Wei,X. Yang, and H. Huang
    

57. In AAAI Conference on Artificial Intelligence (AAAI), 2022.

58. 20. Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency
    

59. Y. Gu,X. Yang, K. Wei, and C. Deng
    

60. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

61. 21. Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning
    

62. X. Li,X. Yang, K. Wei, C. Deng, and M. Yang
    

63. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

64. 22. Attention-guided Contrastive Hashing for Long-tailed Image Retrieval
    

65. X. Kou, C. Xu,X. Yangand C. Deng
    

66. In 31th International Joint Conference on Artificial Intelligence (IJCAI), 2022.

67. 23. Exploring Safety Supervision for Continual Test-time Domain Adaptation
    

68. X. Yang, Y. Ya, K. Wei and C. Deng
    

69. In 32th International Joint Conference on Artificial Intelligence (IJCAI), 2023.

70. 24. Dynamic Reactive Spiking Graph Neural Network

71. H. Zhao,X. Yang, C. Deng, and J. Yan.

72. In Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 2024.

73. 25. Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation

74. F. Wan, H. Zhao,X. Yang, and C. Deng

75. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

76. 26. Long-Tail Class Incremental Learning via Independent Sub-prototype Construction

77. X. Wang,X. Yang, J. Yin, K. Wei, and C. Deng

78. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

79. 27.A Versatile Framework for Continual Test-Time Domain Adaptation: BalancingDiscriminability and Generalizability

80. X. Yang, X. Chen, M. Li, K. Wei, and C. Deng

81. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

82. 28. Unsupervised Graph Transformer with Augmentation-Free Contrastive Learning

83. H. Zhao,X. Yang, K. Wei, C. Deng, and D. Tao

84. IEEE Trans. Knowl. Data Eng., 2024. (IF22=8.9)

85. 29. Class-Incremental Unsupervised Domain Adaptation via Pseudo-Label Distillation

86. K. Wei,X. Yang, Z. Xu, and C. Deng

87. IEEE Trans. Image Process., 33: 1188-1198, 2024. (IF21=11.041)

88. 30. Robust Commonsense Reasoning Against Noisy Labels Using Adaptive Correction

89. X. Yang,C. Deng,K. Wei andD. Tao

90. IEEE Trans. Cybern., 2024.(IF21=19.118)