Yushi Feng's Homepage

About

I am a PhD student at The University of Hong Kong, advised by Prof. Lequan Yu. Prior to that, I received my BSc from HKU in 2024.

Current Research Interests:

Agentic AI: Reinforcement Learning, Continual Learning, World Models
Trustworthy MLLM: Uncertainty Quantification, Interpretability, Alignment
AI for Science: Medical AI, Clinical Decision Support, Knowledge Representation

* indicates co-first author; † indicates corresponding authorship.

Yushi Feng, Junye Du, Qifan Wang, Zizhan Ma, Qian Niu, Yutaka Matsuo, Long Feng, Lequan Yu†.

Preprint, 2026.

Yushi Feng, Junye Du, Yingying Hong, Qifan Wang, Lequan Yu†.

AAAI 2026 (Oral, top 4.5%).

Zheng Chen*, Yushi Feng*, Jisheng Dang, Yue Deng, Changyang He, Hongxi Pu, Haoxuan Li†, Bo Li†.

NeurIPS 2025 (Main Track); and ACL 2025 KnowFM Workshop (Full Paper).

Yushi Feng*, Tsai Hor Chan*, Guosheng Yin, Lequan Yu†.

Neural Networks, 2025.

Qijia Tian*, Yushi Feng*, Shuangyu Yang, Weifa Yang†, Lequan Yu†.

ICML 2026 SD4H Workshop.

Ziyi He*, Yushi Feng*, Shuangyu Yang, Yinghao Zhu, Xichen Zhang, Tai Pak Chuen Patrick, Lo Hei Yuet, Songying Wu, Weifa Yang†, Lequan Yu†.

Preprint, 2026.

Junye Du*, Zhenghao Li*, Yushi Feng, Long Feng†.

Preprint, 2026.

Ziyan Xiao, Ruiyang Zhang, Yushi Feng, Lingting Zhu, Liang Peng, Lequan Yu†.

ICCV 2025 CVAMD Workshop (Full Paper, Oral).

Forbes Youth feature, 2026.
AAAI-26 Student Scholarship, AAAI, 2025.
Postgraduate Scholarship, HKU, 2024-Present.
Dean's Honours List (Top 5%), HKU, 2024.
Outstanding Tech Final Year Project Award (USD 167,000), Incubation Programme, HKSTP, 2024.
Summer Research Fellowship (USD 2,000), HKU, 2023.

Conference Reviews: NeurIPS, ICML, CVPR, AAAI, ICCV, ECCV, MICCAI, ISBI
Journal Reviews: Transactions on Machine Learning Research (TMLR), npj Digital Medicine, ACM Transactions on Computing for Healthcare