Yiqing Li

Hello! My name is Yiqing Li, currently a master’s student at Machine Learning Department of Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), supervised by Professor Kun Zhang. I obtained my bachelor’s degree from Fudan University in China, majoring in Data Science and Big Data Technology. I also spent time at the University of Melbourne as a visiting student under the supervision of Professor Mingming Gong in 2023.

Research Interests

I am currently interested in the intersection of Machine Learning and Causality, with a particular focus on Causal Discovery and/or Causal Representation Learning. I am also open to exploring Reinforcement Learning and Large Language Models.

Please feel free to email me to chat!

Email: leeedwina430 [at] gmail [dot] com

Selected Publications [Full Publications]

Note that * denotes equal contributions and † means corresponding authors.

  • Independence Test for Linear Non-Gaussian Data and Applications in Causal Discovery.
    Yiqing Li, Xiaofei Wang, Boyang Sun, Yewei Xia, and Kun Zhang†.
    ICLR 2026, [paper], [code]

  • 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, and Shuigeng Zhou.
    ICLR 2026, [paper]

  • Extracting Rare Dependence Patterns via Adaptive Sample Reweighting.
    Yiqing Li*, Yewei Xia*, Xiaofei Wang, Zhengming Chen, Liuhua Peng, Mingming Gong†, and Kun Zhang†.
    ICML 2025, [paper], [code]

  • Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach.
    Aoqi Zuo, Yiqing Li, Susan Wei, and Mingming Gong.
    ICLR 2024, [paper], [code]

Services and Awards

Conference Reviewer/Program Committee:

  • International Conference on Learning Representations (ICLR)
  • International Conference on Machine Learning (ICML)
  • Conference on Neural Information Processing Systems (NeurIPS)

Journal Reviewer:

  • Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Selected Awards:

  • Gold Reviewer for ICML (2026)