Jiyao Liu

Ph.D. Student

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

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 AI for Healthcare, MRI Reconstruction, and LLM-based Agent.

News

[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.
[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] MCM/ICM, Mathematical Contest in Modeling, Outstanding Winner

Selected Publications

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

	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]

	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), 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, Beijing, 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, Xidian University, 2022
MCM/ICM, Mathematical Contest in Modeling, Outstanding Winner, 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.
Collaborators:
I sincerely thank Prof. Xiahai Zhuang, Dr. Shangqi Gao, Dr. Lihao Liu, Jinjie Wei and Dr. Xiao-Yong Zhang for their valuable collaboration and support in my research.