Xiu-Chuan Li (李修川) Ph.D. Student Sydney AI Centre School of Computer Sciences The University of Sydney Address: J12/ 1 Cleveland St, Darlington, NSW 2008, Australia Email: xili0273 AT uni DOT sydney DOT edu DOT au; lixiuchuan20 AT mails DOT ucas DOT ac DOT cn

Biography

I am a Ph.D. student at the School of Computer Science, The University of Sydney (USYD). I am also a recipient of the 2025 Google PhD Fellowship. I received the master's degree from Institute of Automation, Chinese Academy of Science in 2023. My research focuses on causal inference and trustworthy machine learning.

Education Background

• PhD student, 2024.03 - 2027.09 (expected)
  School of Computer Science, University of Sydney, Australia, advised by Prof. Tongliang Liu

• M.Eng., 2020.09 - 2023.06
  Institute of Automation, University of Chinese Academy of Sciences, China, advised by Prof. Xu-Yao Zhang and Prof. Cheng-Lin Liu

Publications

• Recovery of Causal Graph Involving Latent Variables via Homologous Surrogates[paper][code]
  Xiu-Chuan Li, Jun Wang, Tongliang Liu
  ICLR 2025
  

• Efficient and Trustworthy Causal Discovery with Latent Variables and Complex Relations[paper][code]
  Xiu-Chuan Li, Tongliang Liu
  ICLR 2025
  

• Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions[paper][code]
  Xiu-Chuan Li, Kun Zhang, Tongliang Liu
  ICLR 2024
  

• Dynamics-Aware Loss for Learning with Label Noise[paper][code]
  Xiu-Chuan Li, Xiaobo Xia, Fei Zhu, Tongliang Liu, Xu-Yao Zhang, Cheng-Lin Liu
  PR 2023
  

• Decision-based Adversarial Attack with Frequency Mixup[paper][code]
  Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu
  IEEE T-IFS 2022
  

• F-mixup: Attack CNNs from Fourier perspective[paper]
  Xiu-Chuan Li, Xu-Yao Zhang, Fei Yin, Cheng-Lin Liu
  ICPR 2020
  

Awards & Honors

• [2025] Google PhD Fellowship (in Machine Learning and ML Foundations, 38 recipients worldwide)

• [2025] NeurIPS top reviewer

• [2025] ICLR notable reviewer

• [2024] USYD Faculty of Engineering Research Scholarship.

Academic Services

• Conference Reviewer: ICLR (2026,2025,2024), ICML (2025,2024,2023), NeurIPS (2025,2024,2023), UAI (2025,2024), AISTATS (2026,2025), AAAI (2026)

• Journal Reviewer: IEEE T-IFS, TMLR