姓名 杨旭 职位 副教授

博士学科：电子科学与技术 电路与系统

硕士学科：电子科学与技术 电路与系统　

工作单位：电子工程学院

通信地址：

电子邮箱：yangxu@romani.cn

办公电话：

办公地点：

杨旭，副教授（华山学者菁英副教授），陕西省青年拔尖人才，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50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）。主持国家自然科学基金面上、青年项目，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：http://xdxuyang.github.io/，谷歌学术：http://scholar.google.com/citations?user=Uc3piAIAAAAJ&hl=en

部分研究成果：

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. Yang and 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. Yang and 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: Balancing Discriminability 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 and D. Tao

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

1．人工智能，智能信息处理，计算机视觉，深度学习