Me
Shengyuan Liu
PhD student @CUHK

About

I am a Year-2 PhD student at AIM group of The Chinese University of Hong Kong, advised by Prof. Yixuan Yuan. I received my M.S. degree from Institue of Automation, Chinese Academy of Sciences (CASIA), where I am grateful to be advised by Prof. Wenting Shang, Prof. Di Dong, and Prof. Jie Tian. Before that, I received my double Bachelor's degree in Information Engineering and Finance from Xi'an Jiaotong University (XJTU). I have also been fortunate to collaborate with industry, such as Microsoft Research, Tencent, Kuaishou, and Shanghai AI Lab.

My research focuses on generative modeling and AI for healthcare, particularly joint multimodal representation learning for vision-language models and the development of agentic systems for real-world clinical workflows.

I'm always looking for related discussion and collaboration. If you are interested with my works, feel free to contact me.

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Education

Ph.D. in Electronic Engineering
The Chinese University of Hong Kong (CUHK), 2024.08 - Now
Advisor: Prof. Yixuan Yuan
M.S. in Pattern Recognition and Intelligent Systems
The University of Chinese Academy of Sciences, 2021.08 - 2024.06
Advisor: Prof. Wenting Shang, Di Dong, Jie Tian
B.E. in Information Engineering & Finance
Xi'an Jiaotong University (XJTU), 2017.08 - 2021.07
GPA 3.89/4.3 (90.61/100, Top 5%)

Selected Publications

(*: equal contribution)
Topics
9 publications
AMID framework overview
AMID: Towards Autonomous and Auditable Medical Imaging Model Development
Shengyuan Liu*, Jia-Xuan Jiang*, Boyun Zheng, Cheng Wang, Zipei Wang, Wentao Pan, Hongtao Wu, Houwen Peng, Yu Gu, Lichao Sun, Yixuan Yuan
arXiv 2026
NeuroClaw framework overview
NeuroClaw: Closed-Loop Agentic AI for Executable and Reproducible Neuroimaging Research
Cheng Wang, Zhibin He, Zhihao Peng, Shengyuan Liu, Yufan Hu, Carl Yang, Lifang He, Lichao Sun, Xiang Li, Yixuan Yuan
arXiv 2026
MedPruner framework overview
MedPruner: Training-Free Hierarchical Token Pruning for Efficient 3D Medical Image Understanding in Vision-Language Models
Shengyuan Liu*, Zanting Ye*, Yunrui Lin*, Chen Hu, Wanting Geng, Xu Han, Bulat Ibragimov, Yefeng Zheng, Yixuan Yuan
MICCAI 2026
MedSAM-Agent framework overview
MedSAM-Agent: Empowering Interactive Medical Image Segmentation with Multi-turn Agentic Reinforcement Learning
Shengyuan Liu, Liuxin Bao, Qi Yang, Wanting Geng, Boyun Zheng, Chenxin Li, Wenting Chen, Houwen Peng, Yixuan Yuan
arXiv 2026
OmniBrainBench overview
OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Tasks
Zhihao Peng*, Cheng Wang*, Shengyuan Liu*, Zhiying Liang, Zanting Ye, Minjie Ju, PeterYM Woo, Yixuan Yuan
CVPR 2026
Medical reasoning survey overview
Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications
Wenxuan Wang*, Zizhan Ma*, Meidan Ding, Shiyi Zheng, Shengyuan Liu, Jie Liu, Jiaming Ji, Wenting Chen, Xiang Li, Linlin Shen, Yixuan Yuan
Review (arXiv 2025)
EndoBench overview
EndoBench: A Comprehensive Evaluation of Multi-Modal Large Language Models for Endoscopy Analysis
Shengyuan Liu*, Boyun Zheng*, Wenting Chen*, Zhihao Peng, Zhenfei Yin, Jing Shao, Jiancong Hu, Yixuan Yuan
NeurIPS 2025 D&B
Polyp-Gen overview
Polyp-Gen: Realistic and Diverse Polyp Image Generation for Endoscopic Dataset Expansion
Shengyuan Liu*, Zhen Chen*, Qiushi Yang, Weihao Yu, Jiancong Hu, Di Dong, Yixuan Yuan
ICRA 2025
Subject-enhanced attention guidance overview
Training-Free Subject-Enhanced Attention Guidance for Compositional Text-to-image Generation
Shengyuan Liu, Bo Wang, Ye Ma, Te Yang, Quan Chen, Di Dong
Pattern Recognition (PR) 2025

Selected Honors

  • Golden Reviewer Award, ICML 2026
  • NeurIPS 2025 Scholar Award, San Diego, USA, 2025
  • University of Chinese Academy of Sciences Merit Student, 2022, 2023
  • Top 10 Outstanding Undergraduates Award at Wenzhi College, XJTU, 2021
  • Xi'an Jiaotong University Outstanding Graduates, 2021
  • Xi'an Jiaotong University Excellent Student Cadre, 2020
  • Xi'an Jiaotong University Outstanding student, 2018, 2019
  • Chinese National Scholarship, 2018

Academic Services

Conference Reviewer: ICML, NeurIPS, ACM MM, MICCAI
Journal Reviewer: TMI, MedIA, TETCI, AIIM, npj Precision Oncology, BMC Medical Imaging, Scientific Reports

Miscellaneous

Curiosity and enthusiasm drive my research, and my life.

I am a sports enthusiast and a die-hard fan of Leo Messi😍🔥. I spent 4 amazing years with the XJTU football team⚽, and I'm also passionate about basketball🏀, jogging🏃‍♂️, skiing🏂, hiking⛰️, swimming🏊‍♂️, and tennis🎾.

Soccer 1 Soccer 2
  • 🥇 XJTU Football Freshmen Cup Champion, 2017
  • 🥇 XJTU Football Spring League Champion, 2021
  • 🥇 Zhongguancun Football League Champion, Beijing, 2024
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