About me

I am Yewei Xia (夏业伟), a second-year PhD student at Fudan University. I belong to Prof. Shuigeng Zhou’s group. I received my bachelor’s degree from Communication University of China. I am open to possible cooperation or discussing opportunities. Further, I am always happy to collaborate with junior (undergraduate/master) students. If you are interested, feel free to contact me by email. I am now visiting Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), advised by Professor Kun Zhang.

Research interests

• Causal discovery in the presence of latent confounders.
• Causal representation learning, (non-linear) ICA.
• Machine learning under a causal perspective.

Selected Publications

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

• 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/ACM 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)

• Conditional Independence Test Based on Residual Similarity.
  Hao Zhang*, Yewei Xia*, Kun Zhang, Shuigeng Zhou, Jihong Guan.
  ACM Transactions on Knowledge Discovery from Data (TKDD)

• Causal Discovery by Continuous Optimization with Conditional Independence Constraint: Methodology and Performance.
  Yewei Xia, Hao Zhang, Yixin Ren, Jihong Guan, and Shuigeng Zhou.
  23rd IEEE International Conference on Data Mining (ICDM 2023, regular paper, acceptance rate $\sim$ 9.37%)

• Differentially Private Nonlinear Causal Discovery from Numerical Data.
  Hao Zhang, Yewei Xia, Yixin Ren, Jihong Guan, Shuigeng Zhou.
  37th AAAI Conference on Artificial Intelligence (AAAI 2023)

Activities

Services

Reviewer for AAAI, IJCAI, ICDE, ECML, etc.

Teaching Assistant

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

Selected Awards

• International Collegiate Programming Contest (ACM-ICPC) Regional Contest Gold Medal.
• Outstanding Graduate of Beijing, 2021.

Useful Links

• FAI Seminar
• Out-of-distribution Generalization Paper List
• How to Do Great Work
• Deep Learning Seminar
• Tools Seminar

Miscs

• I enjoy sports and watching sports games, especially soccer and badminton. I am interested in analyzing soccer formation and tactics. Please don’t hesitate to reach out to 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.