章艺煊，必威betway西汉姆助理研究员，2019年-2023年毕业于悉尼科技大学，获得计算机科学博士学位。2018年-2019年担任Data61, CSIRO的研究助理职位，2019年-2022年担任悉尼大学机器学习课程助教，2019年-2023年担任悉尼科技大学的研究助理职位，2025年至今，在必威betway西汉姆担任助理研究员。主要研究方向为机器学习、公平性机器学习、贝叶斯方法等。在NeurIPS, ICML, ICLR, AAAI, IEEE TPAMI等机器学习与人工智能顶级会议及期刊上发表十余篇论文。

无论您关注理论探索，还是致力于实践应用，这里都将为您提供一个富有挑战性与成长空间的研究平台。欢迎对相关方向感兴趣、希望与我共同学习与探索的同学加入课题组。

Dr. Yixuan Zhang is a Fixed Term Assistant Professor at the School of Statistics and Data Science, Southeast University. She received her Ph.D. from the University of Technology Sydney (UTS), Australia, in 2023. Since 2025, she has been a Fixed Term Assistant Professor at the School of Statistics and Data Science, Southeast University. Research Interests: Machine learning, fairness in machine learning, Bayesian methods.If you have any queries, please email Dr.Zhang for more information.

Homepage：https://co234.github.io/K/

Recent Papers (*equal contribution)：

1. Zhilin Zhao, Longbing Cao,Yixuan Zhang, Kun-Yu Lin, Wei-Shi Zheng, quot;Distilling the Unknown to Unveil Certainty,quot; IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.

2. Yixuan Zhang,Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan and Feng Zhou, quot;Navigating Towards Fairness with Data Selection,quot; inProceedings of the AAAI Conference on Artificial Intelligence, 2025.

3. Junliang Lyu,Yixuan Zhang, Xiaoling Lu, Feng Zhou, “Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression,” in Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2025

4. Zicheng Sun*,Yixuan Zhang*, Zenan Ling, Xuhui Fan and Feng Zhou, quot;Nonstationary Sparse Spectral Permanental Process,quot; inProceedings of the 38^th Conference on Neural Information Processing Systems, 2024.

5. Yixuan Zhang, Boyu Li, Zenan Ling and Feng Zhou, quot;Mitigating Label Bias in Machine Learning: Fairness through Confident Learning,quot; inProceedings of the AAAI Conference on Artificial Intelligence, 2024.

6. Yixuan Zhang, Quyu Kong and Feng Zhou, quot;Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes,quot; inProceedings of the 37^th Conference on Neural Information Processing Systems, 2023.

7.nbsp;Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang and Fang Chen, quot;Fair Representation Learning with Unreliable Labels,quot; inProceedings of the 26th International Conference on Artificial Intelligence and Statistics, 2023.