publications

2025

1. NeurIPS 2025

   FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning

   Zhiqin Yang, Yonggang Zhang, Chenxin Li, Yiu-ming Cheung, Bo Han, and 1 more author

   Advances in Neural Information Processing Systems, 2025

   Bib PDF

   @article{yang2025fedgps,
     title = {FedGPS: Statistical Rectification Against Data Heterogeneity in Federated Learning},
     author = {Yang, Zhiqin and Zhang, Yonggang and Li, Chenxin and Cheung, Yiu-ming and Han, Bo and Yuan, Yixuan},
     journal = {Advances in Neural Information Processing Systems},
     year = {2025},
   }

2. CVPR 2025

   HumanDreamer: Generating Controllable Human-Motion Videos via Decoupled Generation

   Boyuan Wang, Xiaofeng Wang, Chaojun Ni, Guosheng Zhao, Zhiqin Yang, and 6 more authors

   In Proceedings of the Computer Vision and Pattern Recognition Conference, 2025

   PDF
3. ICRA 2025

   Hide-in-Motion: Embedding Steganographic Copyright Information into 4D Gaussian Splatting Assets

   Hengyu Liu, Chenxin Li, Wentao Pan, Zhiqin Yang, Yifeng Yang, and 3 more authors

   In 2025 IEEE International Conference on Robotics and Automation (ICRA), 2025

   PDF
4. NeurIPS 2025

   IR3D-Bench: Evaluating Vision-Language Model Scene Understanding as Agentic Inverse Rendering

   Parker Liu, Chenxin Li, Zhengxin Li, Yipeng Wu, Wuyang Li, and 5 more authors

   arXiv preprint arXiv:2506.23329, 2025

   PDF
5. arXiv 2506.11480

   LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment

   Shikun Li^*, Zhiqin Yang^*, Shipeng Li^*, Xinghua Zhang, Gaode Chen, and 3 more authors

   arXiv preprint arXiv:2506.11480, 2025

   Bib PDF

   @article{li2025learnalign,
     title = {LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment},
     author = {Li, Shikun and Yang, Zhiqin and Li, Shipeng and Zhang, Xinghua and Chen, Gaode and Xia, Xiaobo and Liu, Hengyu and Peng, Zhe},
     journal = {arXiv preprint arXiv:2506.11480},
     year = {2025},
   }

2024

1. ICLR 2024

   Robust Training of Federated Models with Extremely Label Deficiency

   Yonggang Zhang^*, Zhiqin Yang^*, Xinmei Tian, Nannan Wang, Tongliang Liu, and 1 more author

   In The Twelfth International Conference on Learning Representations, 2024

   Bib PDF Code

   @inproceedings{zhangrobust,
     title = {Robust Training of Federated Models with Extremely Label Deficiency},
     author = {Zhang, Yonggang and Yang, Zhiqin and Tian, Xinmei and Wang, Nannan and Liu, Tongliang and Han, Bo},
     booktitle = {The Twelfth International Conference on Learning Representations},
     year = {2024},
     github_star = {https://img.shields.io/github/stars/visitworld123/Twin-sight.svg}
   }

2. IJMLC 2024

   Emerging trends in federated learning: From model fusion to federated x learning

   Shaoxiong Ji, Yue Tan, Teemu Saravirta, Zhiqin Yang, Yixin Liu, and 4 more authors

   International Journal of Machine Learning and Cybernetics, 2024

   Bib PDF

   @article{ji2024emerging,
     title = {Emerging trends in federated learning: From model fusion to federated x learning},
     author = {Ji, Shaoxiong and Tan, Yue and Saravirta, Teemu and Yang, Zhiqin and Liu, Yixin and Vasankari, Lauri and Pan, Shirui and Long, Guodong and Walid, Anwar},
     journal = {International Journal of Machine Learning and Cybernetics},
     pages = {1--22},
     year = {2024},
     publisher = {Springer},
   }

2023

1. NeurIPS 2023

   FedFed: Feature distillation against data heterogeneity in federated learning

   Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, and 2 more authors

   Advances in Neural Information Processing Systems, 2023

   Bib PDF Code

   @article{yang2024fedfed,
     title = {FedFed: Feature distillation against data heterogeneity in federated learning},
     author = {Yang, Zhiqin and Zhang, Yonggang and Zheng, Yu and Tian, Xinmei and Peng, Hao and Liu, Tongliang and Han, Bo},
     journal = {Advances in Neural Information Processing Systems},
     volume = {36},
     year = {2023},
     github_star = {https://img.shields.io/github/stars/visitworld123/FedFed.svg}
   }

2. MSN 2023

   Efficient Side-Channel Attack through Balanced Labels Compression and Variational Autoencoder

   Nengfu Cai, Zhiqin Yang, Shuhai Wang, Yanling Jiang, Mingsheng Liu, and 1 more author

   In 2023 19th International Conference on Mobility, Sensing and Networking (MSN), 2023

   Bib PDF

   @inproceedings{cai2023efficient,
     title = {Efficient Side-Channel Attack through Balanced Labels Compression and Variational Autoencoder},
     author = {Cai, Nengfu and Yang, Zhiqin and Wang, Shuhai and Jiang, Yanling and Liu, Mingsheng and Li, Gang},
     booktitle = {2023 19th International Conference on Mobility, Sensing and Networking (MSN)},
     pages = {480--487},
     year = {2023},
     organization = {IEEE},
   }

3. TWEB 2023

   RoSGAS: Adaptive social bot detection with reinforced self-supervised gnn architecture search

   Yingguang Yang, Renyu Yang, Yangyang Li, Kai Cui, Zhiqin Yang, and 3 more authors

   ACM Transactions on the Web, 2023

   Bib PDF

   @article{yang2023rosgas,
     title = {RoSGAS: Adaptive social bot detection with reinforced self-supervised gnn architecture search},
     author = {Yang, Yingguang and Yang, Renyu and Li, Yangyang and Cui, Kai and Yang, Zhiqin and Wang, Yue and Xu, Jie and Xie, Haiyong},
     journal = {ACM Transactions on the Web},
     volume = {17},
     number = {3},
     pages = {1--31},
     year = {2023},
     publisher = {ACM New York, NY},
   }