Yiqing Li

Yiqing Li

Master's Student at MBZUAI, Machine Learning Department

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

My research interests lie at the intersection of causality, machine learning, and artificial intelligence. I aim to develop learning systems that go beyond correlation fitting to uncover, represent, and reason about the causal mechanisms underlying complex data. My work focuses on causal discovery, causal representation learning, latent variable modeling, and robust generalization and extrapolation, with the broader goal of building AI systems that are interpretable, trustworthy, and useful for decision making.

One of my current research directions is to learn compact and causally meaningful representations from multimodal observational data with hidden, high-dimensional, and cross-modal data-generating processes. More broadly, I view causality as a principled lens for uncovering the mechanisms behind observed data, with the goal of building AI systems that can better understand, intervene, and generalize.

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)