Kaixiong Gong

CUHK MMLab. Hong Kong.

prof_pic.jpg

MMLab, The Chinese University of Hong Kong

Hong Kong

I am a Ph.D. student at MMLab, The Chinese University of Hong Kong, advised by Prof. Xiangyu Yue. Before this, I worked with Prof. Shuang Li and Prof. Chi Harold Liu at Beijing Institute of Technology.

My research interests lie in AR generative models for video generation and multi-modal language models. I am always open to discussion and collaboration — feel free to drop me an email.

news

Jul 15, 2022 One paper was accepted by ACM Multimedia (ACM MM) 2022! 🎉
Apr 15, 2022 Critical Classes and Samples Discovering for Partial Domain Adaptation was accepted to IEEE Transaction on Cybernetics (IF: 11.44)!
Jul 15, 2021 Pareto Domain Adaptation was accepted to NeurIPS 2021!
Apr 15, 2021 Two papers (One Oral) were accepted to CVPR 2021!

selected publications

  1. ICML
    Twins: Learn to Predict Unified Representations with Focal Loss
    Kaixiong Gong, Xin Cai, Bin Lin, and 9 more authors
    In Proceedings of the International Conference on Machine Learning (ICML), 2026
    * Equal contribution
    PDF
  2. ACM MM
    mm2022_detr.png
    Improving Transferability for Domain Adaptive Detection Transformers
    Kaixiong Gong, Shuang Li, Shugang Li, and 3 more authors
    In Proceedings of the 30th ACM International Conference on Multimedia (ACM MM), 2022
    PDF
  3. IEEE TCYB
    tcyb_CSDN.png
    Critical Classes and Samples Discovering for Partial Domain Adaptation
    Shuang Li, Kaixiong Gong, Binhui Xie, and 3 more authors
    IEEE Transactions on Cybernetics, 2022
    PDF
  4. NeurIPS
    nips2021_pareto.png
    Pareto Domain Adaptation
    Fangrui Lv, Jian Liang, Kaixiong Gong, and 5 more authors
    In Advances in Neural Information Processing Systems (NeurIPS), 2021
    PDF Code
  5. CVPR
    cvpr2021_metasaug.png
    MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition
    Shuang Li, Kaixiong Gong, Chi Harold Liu, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    PDF Code
  6. CVPR (Oral)
    cvpr2021_tsa.png
    Transferable Semantic Augmentation for Domain Adaptation
    Shuang Li, Mixue Xie, Kaixiong Gong, and 3 more authors
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
    PDF Code
  7. IEEE TKDE
    tkde_ms.png
    End-to-End Transferable Anomaly Detection via Multi-spectral Cross-domain Representation Alignment
    Shuang Li, Shugang Li, Mixue Xie, and 4 more authors
    IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021
    PDF