Meitong Liu | 刘美彤

Meitong Liu Photo

Hi! I am a first-year CS PhD student at the University of Illinois Urbana-Champaign, advised by Prof. Han Zhao. My research interests center around trustworthy machine learning, with a focus on algorithmic fairness and robustness. I am particularly curious about their theoretical foundations, from which I aim to develop practical solutions towards AI systems reliable for social deployment. Currently, I am working on theories and applications related to multi-objective learning.

Previously, I spent four wonderful years obtaining my Bachelor's degree at The University of Hong Kong. Back then, I also explored a bit of AI4Bio with Prof. Yu Li at the Chinese University of Hong Kong.

Publications

Expectation Error Bounds for Transfer Learning in Linear Regression and Linear Neural Networks

Meitong Liu, Christopher Jung, Rui Li, Xue Feng, and Han Zhao

Preprint, 2026.

[arXiv]

Adaptive Online Mirror Descent for Tchebycheff Scalarization in Multi-Objective Learning

Meitong Liu, Xiaoyuan Zhang, Chulin Xie, Kate Donahue, and Han Zhao

TMLR, 2026.

[arXiv]

SCMBench: Benchmarking Domain-specific and Foundation Models for Single-cell Multi-omics Data Integration

Yixuan Wang, Yimin Fan, Xuesong Wang, Tingyang Yu, Yongshuo Zong, Xinyuan Liu, Gaoyang Zhong, Meitong Liu, Qing Li, Kin hei Lee, Khachatur Dallakyan, Zhichao Hu, Yaqian Qi, Junjie Huang, Gengjie Jia, Jiao Yuan, Ting-Fung Chan, Xin Gao, Irwin King, and Yu Li

Nature Communications in Press, 2026.

Misc

In my spare time, I enjoy dancing, riichi mahjong, movies, and novels. I write stories and journals to let my imagination flow and to self-reflect.

I am extremely grateful for all my supervisors and co-authors, who supported me without reservation. I am also lucky to have been inspired by many friends (non-exhaustive, alphabetical order): Liheng Chen, Yitao Liu, Keran Wang, Yaowen Ye.