Jiyao Liu

Ph.D. Student

Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI)
Fudan University, China

Email: jiyaoliu.fudan@gmail.com or liujy22@m.fudan.edu.cn

Biography

I am a third-year Ph.D. student at the Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, advised by Prof. Ningsheng Xu. I received my B.Eng. degree in Intelligence Science and Technology from Xidian University in 2022.

My research interests include MLLMs, Agents and Low-level Vision for AI for Healthcare/Science.

I am actively looking for collaborators and intern opportunities with a passion for AI!

News

[09/2025] GOOD is accepted at NeurIPS 2026. Congrats to Xin Gao!
[09/2025] MedAide is accepted at Information Fusion. Congrats to Jinjie!
[05/2025] Three papers are accepted at MICCAI'2025 (Two early acc.). Big congrats to Junzhi, Huihui.
[11/2024] I start my new journey at Shanghai AI Lab, working with Dr. Junjun He and Dr. Lihao Liu.
[10/2023] One paper has been oral reported on SASHIMI, MICCAI workshop, 2023.
[12/2021] I start my new journey at SenseTime, working with Dr. Qigong Sun.
[05/2021] Mathematical Contest In Modeling, MCM/ICM, Outstanding Winner (Top 0.13%, ranked 7/5384)

Selected Publications

Summary: 1× NeurIPS, 3× MICCAI, 1× Information Fusion, 2× Arxiv Tech Report, 1× Submitted to MeDIA

	GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection. Xin Gao, Jiyao Liu (co-first), Guanghao Li, Yueming Lyu, Jianxiong Gao, Weichen Yu, Ningsheng Xu, Liang Wang, Caifeng Shan, Ziwei Liu, Chenyang Si Conference on Neural Information Processing Systems (NeurIPS), 2026. [paper]
	MedQ-Bench: Evaluating and Exploring Medical Image Quality Assessment Abilities in MLLMs Jiyao Liu, Jinjie Wei, Wanying Qu, Chenglong Ma, Junzhi Ning, Yunheng Li, Ying Chen, Xinzhe Luo, Pengcheng Chen, Xin Gao, Ming Hu, Huihui Xu, Xin Wang, Shujian Gao, Dingkang Yang, Zhongying Deng, Jin Ye, Lihao Liu, Junjun He, Ningsheng Xu Arxiv Tech Report, 2025. [paper] [code]
	Multi-modal MRI Translation via Evidential Regression and Distribution Calibration Jiyao Liu, Shangqi Gao, Yuxin Li, Lihao Liu, Xin Gao, Zhaohu Xing, Junzhi Ning, Yanzhou Su, Xiao-Yong Zhang, Junjun He, Ningsheng Xu, Xiahai Zhuang Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025. [paper]
	Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents Jinjie Wei, Jiyao Liu (co-first), Lihao Liu, Ming Hu, Junzhi Ning, Mingcheng Li, Weijie Yin, Junjun He, Xiao Liang, Chao Feng, Dingkang Yang Arxiv Tech Report, 2025. [paper]
	GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning Yanzhou Su, Tianbin Li, Jiyao Liu, Chenglong Ma, Junzhi Ning, Cheng Tang, Sibo Ju, Jin Ye, Pengcheng Chen, Ming Hu, Shixiang Tang, Lihao Liu, Bin Fu, Wenqi Shao, Xiaowei Hu, Xiangwen Liao, Yuanfeng Ji, Junjun He Arxiv Tech Report, 2025. [paper] [code]
	Bias-Calibrated Adaptation of Score-based Models for MRI Reconstruction Jiyao Liu, Shangqi Gao, Lihao Liu, Yuxin Li, Jinjie Wei, Yachen Gao, Chengyan Wang, Junjun He, Ningsheng Xu, and Xiahai Zhuang Submitted to MeDIA, 2025. [paper]
	MedAide: Information Fusion and Anatomy of Medical Intents via LLM-based Agent Collaboration Dingkang Yang, Jinjie Wei, Mingcheng Li, Jiyao Liu, Lihao Liu, Ming Hu, Junjun He, Yakun Ju, Wei Zhou, Yang Liu, Lihua Zhang Information Fusion, 2025. [paper]

	MedGround-R1: Advancing Medical Image Grounding via Spatial-Semantic Rewarded Group Relative Policy Optimization Huihui Xu, Yuanpeng Nie, Hualiang Wang, ..., Jiyao Liu, Xiaomeng Li†, Junjun He† Medical Image Computing and Computer Assisted Intervention (MICCAI spotlight), 2025. [code]
	RetinaLogos: Fine-Grained Synthesis of High-Resolution Retinal Images Through Captions Junzhi Ning, Cheng Tang, ..., Jiyao Liu, Jin Ye, Sheng Zhang, Yuanfeng Ji, Junjun He† Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025. [code]

Experience

Shanghai AI Lab, Shanghai, China

Nov. 2024 – Present

Research Intern at General Medical Group
- I work on multi-modal foundation models for medical applications.
SenseTime, Xi'an, China

Dec. 2021 – Jun. 2022

Research Intern
- I work with Dr. Qigong Sun on medical imaging and AI applications.
Fudan University, Shanghai, China

2022 – Present

Ph.D. Student at Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI)
- Advised by Prof. Ningsheng Xu, focusing on medical AI and multi-modal LLMs.
Xidian University, Xi'an, China

2018 – 2022

B.Eng. in Intelligence Science and Technology
- Graduated with honors and received National Endeavor Scholarship.

Honors & Awards

Undergraduate Excellence Award [Rank 6/300], Xidian University, 2022
MCM/ICM, Mathematical Contest in Modeling, Outstanding Winner (Top 0.13%, ranked 7/5384), 2021
National Endeavor Scholarship (BSc), Xidian University, 2019/2020/2021

Professional Activities

Invited Talks:
- International Workshop on Simulation and Synthesis in Medical Imaging (SASHIMI), MICCAI workshop, "Oral report", October 2023.
- International Society for Magnetic Resonance in Medicine (ISMRM), "Oral report", March 2021.
Reviewer:
- Medical Image Analysis, ICLR
Collaborators:
I sincerely thank Prof. Xiahai Zhuang, Dr. Shangqi Gao, Dr. Lihao Liu, Jinjie Wei, Xin Gao and Dr. Xiao-Yong Zhang for their valuable collaboration and support in my research.