publications

2026

1. arXiv 2602.07885

   MemFly: On-the-Fly Memory Optimization via Information Bottleneck

   Zhenyuan Zhang, Xianzhang Jia, Zhiqin Yang, Zhenbo Song, Wei Xue, Sirui Han, and Yike Guo

   arXiv preprint arXiv:2602.07885, 2026

   Bib PDF

   @article{zhang2026memfly,
     title = {MemFly: On-the-Fly Memory Optimization via Information Bottleneck},
     author = {Zhang, Zhenyuan and Jia, Xianzhang and Yang, Zhiqin and Song, Zhenbo and Xue, Wei and Han, Sirui and Guo, Yike},
     journal = {arXiv preprint arXiv:2602.07885},
     year = {2026},
   }

2. AAAI 2026

   Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection

   Zhiwei Yang, Haimei Qin, Xiaoyan Yu, Hao Peng, Lei Jiang, Li Sun, and Zhiqin Yang

   In The 40th Annual AAAI Conference on Artificial Intelligence, 2026

   Bib

   @inproceedings{yang2026SeInEvent,
     title = {Structural Entropy Guided Incremental Learning for Open-World Multimodal Social Event Detection},
     author = {Yang, Zhiwei and Qin, Haimei and Yu, Xiaoyan and Peng, Hao and Jiang, Lei and Sun, Li and Yang, Zhiqin},
     booktitle = {The 40th Annual AAAI Conference on Artificial Intelligence},
     year = {2026},
   }

3. CVPR 2026

   FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients

   Tian Wen^*, Zhiqin Yang^*, Yonggang Zhang, Xuefeng Jiang, Hao Peng, Yuwei Wang, and Bo Han

   In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition, 2026

   Bib PDF Code

   @inproceedings{wen2026fedrg,
     title = {FedRG: Unleashing the Representation Geometry for Federated Learning with Noisy Clients},
     author = {Wen, Tian and Yang, Zhiqin and Zhang, Yonggang and Jiang, Xuefeng and Peng, Hao and Wang, Yuwei and Han, Bo},
     booktitle = {Proceedings of the IEEE/CVF conference on computer vision and pattern recognition},
     year = {2026},
   }

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 Yixuan Yuan

   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, Zheng Zhu, Muyang Zhang, and 4 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, Yifan Liu, Wuyang Li, and 1 more author

   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, Zhiqin Yang, Zhenyuan Zhang, and 3 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, Xiaobo Xia, Hengyu Liu, and 1 more author

   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 Bo Han

   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, Lauri Vasankari, Shirui Pan, and 2 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, Tongliang Liu, and Bo Han

   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 Gang Li

   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, Yue Wang, Jie Xu, and 1 more author

   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},
   }