Biography

I am currently an Associate Professor in School of Electronic Engineering at Xidian University. Before that I obtained my PhD degree in School of Electronic Engineering, Xidian University, under the supervision of Prof. Cheng Deng. I received the bachelor degree in Xidian University in July, 2016.

Research Interests

Deep Learning, Graph Representation Learning, and Clustering

Achademic Serves

Executive Area Chair of Vision And Learning SEminar (VALSE)

Programme committee (PC) member for CVPR, NeurIPS, ICML, AAAI, IJCAI

Senior programme committee (SPC) member for IJCAI 2021

News

I was selected for the Shaanxi Association for Science and Technology Youth Lifting Talent Program.

Apr. 20, 2023, one paper was accepted to IJCAI2023 (15% acceptance rate).

Apr. 19, 2023, one papers was accepted to IEEE Trans. on Neural Networks and Learning Systems.

Jan. 30, 2023, one paper was accepted to IEEE Trans. on Multimedia.

Jul. 24, 2022, one paper was accepted to IEEE Trans. on Multimedia.

Apr. 21, 2022, one paper was accepted to IJCAI-ECAI2022.

Mar. 8, 2022, one paper was accepted to IEEE Trans. on Image Processing.

Mar. 2, 2022, two papers were accepted to CVPR2022 (25.3% acceptance rate).

Jan. 12, 2022, My PhD thesis was selected as the excellent doctoral dissertation of CAAI.

Dec. 1, 2021, one paper was accepted to AAAI2022 (15% acceptance rate).

Aug. 20, 2021, one paper was accepted to IEEE Trans. Cybernetics.

July 1, 2021, one paper was accepted to IEEE Trans. on Neural Networks and Learning Systems.

I was elected as the Executive Area Chair (EAC) of the sixth VALSE.

Apr. 29, 2021, one paper was accepted to IJCAI2021 (13.9% acceptance rate).

Mar. 1, 2021, two papers were accepted to CVPR2021 (~27% acceptance rate).

Dec. 02, 2020, one paper was accepted to AAAI2021 (~21% acceptance rate).

Sep. 26, 2020, one paper was accepted to NeurIPS2020 (~20% acceptance rate).

Sep. 17, 2020, one paper was accepted to IEEE Trans. Pattern Analysis and Machine Intelligence.

Publications [Google Scholar]

Journal Articles

  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)

Conference Proceedings

  1. 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.

  2. 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.

  3. 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.

  4. Lifelong Zero-shot Learning
    K. Wei, C. Deng, X. Yang
    In International Joint Conference on Artificial Intelligence (IJCAI), 2020.

  5. 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.

  6. Incremental Embedding Learning via Zero-Shot Translation
    K. Wei, C. Deng, X. Yang and M. Li
    In AAAI Conference on Artificial Intelligence (AAAI), 2021.

  7. 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.

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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.

  13. 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.

  14. 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.

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