PhD Student · TMLR Group @ HKBU, advised by Bo Han
Visiting @ MBZUAI with Kun Zhang & Yongqiang Chen · Previously @ ZJU with Kun Kuang
I build Autonomous Agents that discover how their environment works — through Causal Discovery and Recursive Self Improvement — and continually adapt to new tasks.
A Python toolkit for discovering and measuring factors in unstructured data, learning causal structure, and estimating causal effects.
pip install coatlearn
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Yongqiang Chen*, Chenxi Liu*, Deyu Zou*, Zhenhao Chen, Tongliang Liu, Bo Han, Kun Zhang
Preprint, 2026 · Also in ICLR Workshop on Recursive Self-Improvement · Spotlight
Zhenhao Chen*, Yongqiang Chen*, Chenxi Liu*, Junchi Yu, Xiangchen Song, Zijian Li, Jialin Li, Philip Torr, Bo Han, Kun Zhang
In International Conference on Machine Learning (ICML), 2026 · Oral (0.7%)
Chenxi Liu*, Yongqiang Chen*, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
In Journal of Machine Learning Research (JMLR), 2026 · SIGKDD Symposium Oral
Chenxi Liu*, Yongqiang Chen*, Tongliang Liu, James Cheng, Bo Han, Kun Zhang
In International Conference on Learning Representations (ICLR), 2026
Chenxi Liu*, Yongqiang Chen*, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang
In Advances in Neural Information Processing Systems (NeurIPS), 2024
Chenxi Liu, Kun Kuang
In International Conference on Machine Learning (ICML), 2023