@article{zhang2025multi,title={Multi-Scale Semantic-Guidance Networks: Robust Blind Face Restoration Against Adversarial Attacks},author={Zhang, Zhenyuan and Qi, Xingqun and Song, Zhenbo and Yang, Zhiqin and Lu, Jianfeng and Sun, Muyi and Zhang, Man and Sun, Zhenan},journal={IEEE Transactions on Information Forensics and Security},year={2025},publisher={IEEE},}
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
@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
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
@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}}
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
@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
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
@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}}
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
@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},}
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
@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},}