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

Jul. 1, 2025, three papers were accepted to IJCAI2025.

Jul. 1, 2025, one paper was accepted to IEEE TIP.

Feb. 1, 2025, one paper was accepted to WACV2025.

Jul. 1, 2024, three papers were accepted to IEEE TIP, TCSVT, and TMM, respectively.

Apr. 18, 2024, one paper was accepted to IJCAI2024.

Mar. 29, 2024, three papers were accepted to CVPR2024.

Mar. 24, 2024, one paper was accepted to IEEE TKDE.

Dec. 09, 2023, one paper was accepted to AAAI2024 (23% acceptance rate).

Nov. 20, 2023, one paper was accepted to IEEE TCYB.

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, three papers were accepted to IEEE TNNLS, TMM.

Apr. 21, 2022, one paper was accepted to IJCAI2022.

Mar. 8, 2022, one paper was accepted to IEEE TIP.

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

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

Publications [Google Scholar]

Under Review

  1. Mix‑QSAM2: Mixed‑Precision Quantization for High Fidelity Segmentation in Resource Constrained Scenarios
    Under Review

  2. UniCRep: Learning Unified Circuit Representations via Function-Structure Decoupling and Task-Aware Adaptive Fusion
    Under Review

  3. Towards Robust Edge Model Adaptation via Elastic Architecture Search
    Under Review

  4. Trajectory Regularized: Reducing Storage Dependency in Model Merging for Continual Learning
    Under Review

Journal Articles

  1. Robust Commonsense Reasoning Against Noisy Labels Using Adaptive Correction
    X. Yang, C. Deng, K. Wei and D. Tao
    IEEE Trans. Cybern., 2024.(IF20=19.118)

  2. Unsupervised Structure-Adaptive Graph Contrastive Learning
    H. Zhao, X. Yang, C. Deng, D. Tao
    IEEE Trans. Neural Netw. Learn. Syst., 2023.(IF20=10.451)

  3. 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)

  4. Point-Supervised Video Temporal Grounding
    Z. Xu, K. Wei, X. Yang, C. Deng
    IEEE Trans. Multimed., 2022.(IF20=8.182)

  5. 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)

  6. Incremental Zero-Shot Learning
    K. Wei, C. Deng, X. Yang, and D. Tao
    IEEE Trans. Cybern., 2021.(IF20=11.448)

  7. 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)

  8. Deep Multi-View Collaborative Clustering
    X. Yang, C. Deng, Z. Dang, and D. Tao
    IEEE Trans. Neural Netw. Learn. Syst., 2021.(IF20=10.451)

  9. 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)

  10. 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.

  15. 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.

  16. 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.

  17. 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.

  18. 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.

www.Symptoma.ro