Zhiqin (Brian) Yang

@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}
}

@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},
}

@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}
}

@article{li2025learnalign,
  title = {LearnAlign: Reasoning Data Selection for Reinforcement Learning in Large Language Models Based on Improved Gradient Alignment},
  author = {Li, Shipeng and Yang, Zhiqin and Li, Shikun and Xia, Xiaobo and Liu, Hengyu and Zhang, Xinghua and Chen, Gaode and Fang, Dong and Tai, Yang and Peng, Zhe},
  journal = {arXiv preprint arXiv:2506.11480},
  year = {2026},
}

@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},
}

@article{yang2026clawnet,
  title = {ClawNet: Human-Symbiotic Agent Network for Cross-User Autonomous Cooperation},
  author = {Yang, Zhiqin and Zhang, Zhenyuan and Jia, Xianzhang and Song, Jun and Xue, Wei and Zhang, Yonggang and Guo, Yike},
  journal = {arXiv preprint arXiv:2604.19211},
  year = {2026}
}

@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},
}

@inproceedings{yang2026cpo,
  title = {Conditional Equivalence of DPO and RLHF: Implicit Assumption, Failure Modes, and Provable Alignment},
  author = {Yang, Zhiqin and Zhang, Yonggang and Xue, Wei and Fang, Dong and Han, Bo and Guo, Yike},
  booktitle = {Forty-Third International Conference on Machine Learning},
  year = {2026},
}