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基本信息

 

姓名 杨旭 职位 副教授

博士学科:

硕士学科: 

工作单位:

联系方式

通信地址:

电子邮箱:yangxu@xidian.edu.cn

办公电话:

办公地点:

个人简介

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20余篇,其中包括IEEE Trans.权威期刊(TPAMITNNLSTIP等)和CCF-A顶级会议(CVPRNeurIPS、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://xdxuyang.github.io/


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[Paper][Code]
    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.

主要研究方向

1.人工智能,智能信息处理,计算机视觉,深度学习