About me

I am Yewei Xia (夏业伟).

I received the Ph.D. degree from Fudan University in June 2026, advised by Prof. Shuigeng Zhou. Before that, I received my bachelor’s degree from the Communication University of China in 2021. I also spent a wonderful year as a visiting student in the Machine Learning Department at Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) in 2024, under the guidance of Prof. Kun Zhang.

I am open to any opportunity for cooperation or discussion. If you are interested, feel free to contact me by email.

Research interests

• Latent causal structure learning.
• Causal representation learning with identifiability guarantee.
• Statistical (conditional) independence tests using kernel methods.

Selected Publications

( * denotes equal contribution, see full publications in my Google Scholar or Publications)

• Conditional Independent Component Analysis for Estimating Causal Structure with Latent Variables.
  Yewei Xia, Zhengming Chen, Haoyue Dai, Fuhong Wang, Yixin Ren, Yiqing Li, Kun Zhang, Shuigeng Zhou.
  14th International Conference on Learning Representations (ICLR 2026)

• Extracting Rare Dependence Patterns via Adaptive Sample Reweighting.
  Yiqing Li*, Yewei Xia*, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong, Kun Zhang.
  42nd International Conference on Machine Learning (ICML 2025)

• Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations.
  Zhengming Chen, Yewei Xia, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai, Kun Zhang.
  42nd International Conference on Machine Learning (ICML 2025)

• Identifying Causal Mechanism Shifts under Additive Models with Arbitrary Noise.
  Yewei Xia*, Xueliang Cui*, Hao Zhang, Yixin Ren, Feng Xie, Jihong Guan, Ruxin Wang, Shuigeng Zhou.
  34th International Joint Conference on Artificial Intelligence (IJCAI 2025) [Python Code]

• Efficient Constraint-based Window Causal Graph Discovery in Time Series with Multiple Time Lags.
  Yewei Xia*, Yixin Ren*, Hong Cheng, Hao Zhang, Jihong Guan, Minchuan Xu, Shuigeng Zhou.
  34th International Joint Conference on Artificial Intelligence (IJCAI 2025)

• Efficiently Learning Significant Fourier Feature Pairs for Statistical Independence Testing.
  Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou.
  38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

• Towards Effective Causal Partitioning by Edge Cutting of Adjoint Graph.
  Hao Zhang*, Yixin Ren, Yewei Xia*, Shuigeng Zhou, Jihong Guan.
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

• Learning Adaptive Kernels for Statistical Independence Tests.
  Yixin Ren, Yewei Xia, Hao Zhang, Jihong Guan, Shuigeng Zhou.
  27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024)

Activities

Services

Conference Reviewer/Program Committee:

• International Conference on Machine Learning (ICML)
• Annual Conference on Neural Information Processing Systems (NeurIPS)
• International Conference on Learning Representations (ICLR)
• ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
• AAAI Conference on Artificial Intelligence (AAAI)
• ACM International Conference on Multimedia (ACM MM)

Journal Reviewer:

• Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
• ACM Computing Surveys (CSUR)
• Transactions on Machine Learning Research (TMLR)

Session Chair:

• International Joint Conference on Artificial Intelligence (IJCAI) 2025.

Teaching Assistant

• 2023 Fudan Intensive Summer Teaching: Foundations of Causal Inference and Discovery.
  Teacher: Kun Zhang. Enrollment: 21 graduate students.

Selected Awards

• Gold Reviewer for ICML 2026.
• Outstanding Graduate of Shanghai, 2026.
• China National Doctoral Scholarship, 2025.
• Outstanding Graduate of Beijing, 2021.
• International Collegiate Programming Contest (ACM-ICPC) Regional Contest Gold Medal, 2018.

Miscs

• I enjoy sports and watching sports games, especially soccer and badminton. I am interested in analyzing soccer formations and tactics. Please don’t hesitate to contact me.
• I enjoy playing Sudoku, Minesweeper and other mind games (including problems in algorithm contests >_<).
• In my spare time, I like to read history books, especially Chinese history.