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 fifth-year Ph.D. student at the Institute of Science and Technology for Brain-Inspired Intelligence (ISTBI), Fudan University, advised by Prof. Ningsheng Xu and co-supervised by Dr. Junjun He (GMAI Lab, Shanghai AI Lab). 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.

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

News

[10/2026] MedQ-Bench receives an EMNLP 2026 Outstanding Paper Award!
[10/2026] MedQ-Bench is accepted at EMNLP 2026 (Oral). See you in Budapest!
[10/2026] THE-Tree is accepted to Findings of EMNLP 2026. Congrats to Xin Wang!
[09/2026] MedVTok is accepted at NeurIPS 2026!
[07/2026] CuSearch is accepted at COLM 2026. Congrats to Jianghan!
[06/2026] MedQ-Deg is accepted at ECCV 2026. See you in Athens!
[06/2026] MedQ-Engine and BiasRecon are accepted at MICCAI 2026. See you in Strasbourg!
[05/2026] UnimedVL and MICE-Bench are accepted at ICML 2026. Congrats to Junzhi and Siqi!
[05/2026] I start my internship at Ant Group.
[03/2026] EvoGraph-R1 is accepted at CVPR 2026. Congrats to Jiashi!
[02/2026] IVQ-CBM is accepted at ICLR 2026. Congrats to Shujian!
[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: 2× NeurIPS, 5× MICCAI, 2× ICML, 1× CVPR, 1× ICLR, 1× ECCV, 1× COLM, 1× EMNLP, 1× EMNLP Findings, 1× ACL Findings, 1× Information Fusion

	Can MLLMs Perceive and Describe Medical Image Quality Beyond Scores? Jiyao Liu, Jinjie Wei, Wanying Qu, Chenglong Ma, Junzhi Ning, Yunheng Li, Ying Chen, Jiafan Zhang, Pengcheng Chen, Xin Gao, Ming Hu, Xin Wang, Shujian Gao, Dingkang Yang, Zhongying Deng, Jin Ye, Lihao Liu, Junjun He, Ningsheng Xu Conference on Empirical Methods in Natural Language Processing (EMNLP), 2026. Oral. Outstanding Paper Award [paper] [code]
	MedVTok: A General-Purpose Medical Visual Tokenizer Chenglong Ma, Yuanfeng Ji, Junzhi Ning, Jiyao Liu*, Yujie Wei, Shaohao Rui, Chaoyang Zhang, Wenjie Li, Wenhao Tang, Cheng Tang, Wei Li, Shujian Gao, Yujie Zhang, Ying Chen, Zilong Li, Zongyuan Ge, Diping Song, Jin Ye, Ming Hu, Junjun He, Hongming Shan Conference on Neural Information Processing Systems (NeurIPS), 2026.* [paper] [code]
	GOOD: Training-Free Guided Diffusion Sampling for Out-of-Distribution Detection. Xin Gao, Jiyao Liu*, 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] [code]
	Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization Junjun He, Shujian Gao, Yuan Wang, ..., Jiyao Liu, ..., Jin Ye International Conference on Learning Representations (ICLR), 2026. [paper] [code]
	MICE-Bench: A Challenging and Comprehensive Benchmark for Multi-Reference Image Creation and Editing Siqi Luo, Huayu Zheng, Jianghan Shen, Yi Xin, Luxin Xu, Jiyao Liu, Xinyu Zhang, Hang Zhou, Pengyu Xie, Xiaohui Li, Shuo Cao, Yuandong Pu, Junjun He, Bin Fu, Yihao Liu, Yu Qiao, Guangtao Zhai, Yuewen Cao, Xiaohong Liu International Conference on Machine Learning (ICML), 2026. [paper]
	MedQ-Engine: A Closed-Loop Data Engine for Evolving MLLMs in Medical Image Quality Assessment Jiyao Liu, Junzhi Ning, Wanying Qu, Lihao Liu, Chenglong Ma, Junjun He, Ningsheng Xu Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026. [paper]
	Open World MRI Reconstruction with Bias-Calibrated Adaptation Jiyao Liu, Shangqi Gao, Lihao Liu, Junzhi Ning, Jinjie Wei, Junjun He, Xiahai Zhuang, Ningsheng Xu Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026. [paper]
	MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations Jiyao Liu, Junzhi Ning, Chenglong Ma, ..., Junjun He, Ningsheng Xu European Conference on Computer Vision (ECCV), 2026.* [paper] [project] [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]
	UnimedVL: Unifying Medical Multimodal Understanding and Generation Through Observation-Knowledge-Analysis Junzhi Ning, Wei Li, Cheng Tang, ..., Jiyao Liu, ..., Ming Hu, Junjun He International Conference on Machine Learning (ICML), 2026. [paper]
	SafeRBench: A Comprehensive Benchmark for Safety Assessment in Large Reasoning Models Xin Gao, Shaohan Yu, Zerui Chen, Yueming Lyu, Weichen Yu, Guanghao Li, Jiyao Liu, Jianxiong Gao, Jian Liang, Ziwei Liu, Chenyang Si Findings of the Association for Computational Linguistics (ACL Findings), 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, Kaijin Zhou, ..., Jiyao Liu, Sheng Zhang, Yuanfeng Ji, Junjun He Medical Image Computing and Computer Assisted Intervention (MICCAI), 2025. [code]

Preprint

	Intern-S1: A Scientific Multimodal Foundation Model Lei Bai, Zhongrui Cai, Yuhang Cao, ..., Jiyao Liu, ..., Jiashuo Yu, Jing Yu arXiv preprint arXiv:2508.15763, 2025. [paper]
	MMRareBench: A Rare-Disease Multimodal and Multi-Image Medical Benchmark Junzhi Ning, Jiashi Lin, Y. Fang, Wei Li, Jiyao Liu, Cheng Tang, Chenglong Ma, W. Tang, Tianbin Li, Ziyan Huang, ... arXiv preprint arXiv:2604.10755, 2026. [paper]
	MedProbeBench: Systematic Benchmarking at Deep Evidence Integration for Expert-level Medical Guideline Jiyao Liu, Jianghan Shen, Sida Song, ..., Hong Chen, Junjun He arXiv preprint arXiv:2604.18418, 2026.* [paper] [project] [dataset]
	Project Imaging-X: A Survey of 1000+ Open-Access Medical Imaging Datasets for Foundation Model Development Zhongying Deng, Cheng Tang, Ziyan Huang, Jiashi Lin, Ying Chen, Junzhi Ning, Chenglong Ma, Jiyao Liu, Wei Li, Y. Zhu, ... arXiv preprint arXiv:2603.27460, 2026. [paper]
	Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows Wanghan Xu, Yuhao Zhou, Yifan Zhou, ..., Jiyao Liu, ..., Wenlong Zhang, Lei Bai arXiv preprint arXiv:2512.16969, 2025. [paper]
	Learning, Reasoning, Refinement: A Framework for Kahneman's Dual-System Intelligence in GUI Agents Jinjie Wei, Jiyao Liu, Lihao Liu, Ming Hu, Junzhi Ning, Mingcheng Li, Weijie Yin, Junjun He, Xiao Liang, Chao Feng, Dingkang Yang arXiv preprint arXiv:2506.17913, 2025. [paper]
	GMAI-VL-R1: Harnessing Reinforcement Learning for Multimodal Medical Reasoning Yanzhou Su, Tianbin Li, Jiyao Liu, ..., Yuanfeng Ji, Junjun He arXiv preprint arXiv:2504.01886, 2025. [paper] [code]
	A Survey of Scientific Large Language Models: From Data Foundations to Agent Frontiers Ming Hu, Chenglong Ma, Wei Li, ..., Jiyao Liu, ..., Lei Bai, Bowen Zhou arXiv preprint arXiv:2508.21148, 2025. [paper]

Experience

Ant Group, ChinaMay 2026 – Present
Research Intern
- I work on AI for healthcare applications.
Shanghai AI Lab, Shanghai, ChinaNov. 2024 – May 2026
Research Intern at General Medical Group
- I work on multi-modal foundation models for medical applications.
Cambridge University, Cambridge, UKMarch 2025 – October 2025
Research Intern
- I work on multi-modal foundation models for medical applications with Dr. Lihao Liu.
SenseTime, Xi'an, ChinaDec. 2021 – Jun. 2022
Research Intern
- I work with Dr. Qigong Sun on medical imaging and AI applications.
Fudan University, Shanghai, China2022 – 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, China2018 – 2022
B.Eng. in Intelligence Science and Technology
- Graduated with honors and received National Endeavor Scholarship.

Honors & Awards

EMNLP Outstanding Paper Award (MedQ-Bench), 2026
MICCAI Best Paper and Young Scientist Award Shortlist, 2025
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:
- MedQ-Bench, EMNLP 2026, "Oral presentation", Budapest, October 2026.
- 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, ECCV, ICML, CVPR, NeurIPS
Collaborators:
I sincerely thank Dr. Xiahai Zhuang, Dr. Shangqi Gao, Dr. Xiao-Yong Zhang, Dr. Lihao Liu, Dr. Wanying Qu, Dr. Jinjie Wei, Dr. Xin Gao, Dr. Chenglong Ma and Dr. Junzhi Ning for their valuable collaboration and support in my research.

Moments

Presenting MedQ-Bench at EMNLP 2026 — MedQ-Bench oral presentation at EMNLP 2026.

With Prof. Hung-yi Lee and the EMNLP 2026 Outstanding Paper Award certificate — With Prof. Hung-yi Lee at EMNLP 2026, celebrating the Outstanding Paper Award for MedQ-Bench.