Basic Information:
Yixuan Zhang is an Assistant Professor at the School of Statistics and Data Science, Southeast University. She graduated from the University of Technology Sydney from 2019 to 2023, earning a Ph.D. in Computer Science. From 2018 to 2019, she served as a Research Assistant at Data61, CSIRO. From 2019 to 2022, she worked as a Teaching Assistant for machine learning courses at the University of Sydney. From 2019 to 2023, she held a Research Assistant position at the University of Technology Sydney. Since 2025, she has been serving as an Assistant Professor at the School of Statistics and Data Science, Southeast University. She has published more than ten papers in top-tier machine learning and artificial intelligence conferences and journals, including NeurIPS, ICML, ICLR, AAAI, and IEEE TPAMI.
Whether you are interested in theoretical exploration or dedicated to practical applications, this research environment will provide you with a challenging and growth-oriented research platform. Students who are interested in related fields and wish to learn and explore together are welcome to join our research group.
Contact Info:
Email：zh1xuan@hotmail.com
Homepage：https://co234.github.io/K/
Research Interests
Main research interests include machine learning, fairness in machine learning, and Bayesian methods.
Representative Publications:
Recent Publications (*equal contribution):
[1] ZhilinZhao, LongbingCao, YixuanZhang, Kun-YuLin, Wei-ShiZheng, "Distilling the Unknown to Unveil Certainty," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025.
[2] Yixuan Zhang, Zhidong Li, Yang Wang, Fang Chen, Xuhui Fan and Feng Zhou, "Navigating Towards Fairness with Data Selection," in Proceedings 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, "Nonstationary Sparse Spectral Permanental Process," in Proceedings of the 38th Conference on Neural Information Processing Systems, 2024.
[5] Yixuan Zhang, Boyu Li, Zenan Ling and Feng Zhou, "Mitigating Label Bias in Machine Learning: Fairness through Confident Learning," in Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
[6] Yixuan Zhang, Quyu Kong and Feng Zhou, "Integration-free Training for Spatio-temporal Multimodal Covariate Deep Kernel Point Processes," in Proceedings of the 37th Conference on Neural Information Processing Systems, 2023.
[7] Yixuan Zhang, Feng Zhou, Zhidong Li, Yang Wang and Fang Chen, "Fair Representation Learning with Unreliable Labels," in Proceedings of the 26th International Conference on Artificial Intelligence and Statistics, 2023.
