About me

I am Yewei Xia (夏业伟), a first-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. Students from underrepresented groups are strongly encouraged to reach out! 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 (especially in heterogeneous environments), causal representation learning, machine learning under a causal perspective.
• Domain adaptation/generalization with a valuable theoretical guarantee.
• Probabilistic methods: inference, generative models, uncertainty modeling.
• Self-supervised learning and its support theory.

Publications

( * denotes equal contribution)

• 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)

• 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%)

• 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)

• 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)

• Multi-level Wavelet Mapping Correlation for Statistical Dependence Measurement: Methodology and Performance.
  Yixin Ren, Hao Zhang, Yewei Xia, Jihong Guan, Shuigeng Zhou.
  37th AAAI Conference on Artificial Intelligence (AAAI 2023)

• Self-supervised Learning for Multimedia Recommendation.
  Zhulin Tao, Xiaohao Liu, Yewei Xia, Xiang Wang, Lifang Yang, Xianglin Huang, Tat-Seng Chua.
  IEEE Transactions on Multimedia (TMM)

• Causal Gene Identification Using Non-linear Regression-based Independence Tests.
  Hao Zhang, Chuanxu Yan, Yewei Xia, Jihong Guan, Shuigeng Zhou.
  IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

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 feel free 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.