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}
}

@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, 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},
}