Zhihao Peng (彭志浩)

Postdoc Fellow
Department of Electronic Engineering,
The Chinese University of Hong Kong,
Kowloon, Hong Kong.
The Computer Vision Foundation (CVF) Member
Email: zhihapeng3-c@my.cityu.edu.hk

I obtained a Ph.D. degree in the Department of Computer Science, City University of Hong Kong (CityU) advised by Prof. HOU Junhui. The qualifying panel members are Prof. WONG Hau San and Prof. CHAN Antoni Bert. I am an Innovation and Technology Fund (ITF)-funded Postdoctoral Fellow in electrical engineering at the Chinese University of Hong Kong. My research focuses on representation & graph learning, neuroimaging & foundation models, and medical multimodal understanding & reasoning. I develop methods for learning from complex data, understanding brain imaging, and supporting clinical reasoning through multimodal models and collaborative agents.

Research Scope

Representation & Graph Learning

Self-supervised Representation Learning ([AGCN, ACM MM’21], [DAGC, IEEE TCSVT’22]); Graph Structure Learning ([AASSC-Net, IEEE TIP’22], [EGRC-Net, IEEE TIP’23]); Transfer Learning ([ATL, IEEE TCSVT’19])
Neuroimaging & Foundation Models

Brain Connectome Learning ([GBT, MICCAI’24], [SW-HGL, MICCAI’24]); Multimodal Representation Learning ([F2TNet, MICCAI’24], [fTSPL, MICCAI’24]); fMRI Foundation Models ([NeuroSTORM, Nature Biomedical Engineering’26])
Medical Multimodal Understanding & Reasoning

Multimodal Benchmarking ([EndoBench, NeurIPS’25], [OmniBrainBench, CVPR’26]); Clinical Reasoning ([MAP, npj Health Systems’26]); Adaptive Multi-Agent Collaboration ([MAC, arXiv’25], [Expertise-aware Multi-LLM, arXiv’25])

Preprints

Neuroclaw technical report. Cheng Wang, Zhibin He, Zhihao Peng, Shengyuan Liu, Yufan Hu, Carl Yang, Lifang He, Lichao Sun, Xiang Li, and Yixuan Yuan. arXiv (:2604.24696), 2026. [paper]

Modeling individual-level long-range brain dynamics from short fMRI scans. Yixuan Yuan, Yu Jiang, Cheng Wang, Zhihao Peng, Zhibin He, Boyun Zheng, Yifei Sun, Tuo Zhang, Peter Yat Ming Woo, Robert D Sanders, Fernando Calamante, and Jinglei Lv. Research Square, 2026. [paper]

Brain-WM: Brain Glioblastoma World Model. Chenhui Wang, Boyun Zheng, Liuxin Bao, Zhihao Peng, Peter YM Woo, Hongming Shan, and Yixuan Yuan. arXiv (:2603.07562), 2026. [paper]

Unveiling and Bridging the Functional Perception Gap in MLLMs: Atomic Visual Alignment and Hierarchical Evaluation via PET-Bench.
Zanting Ye, Xiaolong Niu, Xuanbin Wu, Xu Han, Shengyuan Liu, Jing Hao, Zhihao Peng, Hao Sun, Jieqin Lv, Fanghu Wang, Yanchao Huang, Hubing Wu, Yixuan Yuan, Habib Zaidi, Arman Rahmim, Yefeng Zheng, Lijun Lu. arXiv ( :2601.02737), 2026. [paper]

MAC: Masked Agent Collaboration Boosts Large Language Model Medical Decision-Making.
Zhihao Peng, Liuxin Bao, and Yixuan Yuan. arXiv (:2507.21159), 2025. [paper]

Expertise-aware Multi-LLM Recruitment and Collaboration for Medical Decision-Making.
Liuxin Bao, Zhihao Peng, Xiaofei Zhou, Runmin Cong, Jiyong Zhang, and Yixuan Yuan. arXiv ( arXiv:2508.13754), 2025. [paper]

Selected Publications

	OmniBrainBench: A Comprehensive Multimodal Benchmark for Brain Imaging Analysis Across Multi-stage Clinical Tasks Zhihao Peng, Cheng Wang, Shengyuan Liu, Zhiying Liang, Zanting Ye, Min Jie Ju, Peter YM Woo, and Yixuan Yuan. Computer Vision and Pattern Recognition Conference ( CVPR'26), 2026 [paper]
	Map: Evaluation and multi-agent enhancement of large language models for inpatient pathways Zhen Chen, Zhihao Peng, Xusheng Liang, Cheng Wang, Peigan Liang, Linsheng Zeng, Minjie Ju, and Yixuan Yuan. npj Health Systems, 2026 [paper]
	Towards a general-purpose foundation model for functional MRI analysis Cheng Wang, Yu Jiang, Zhihao Peng, Chenxin Li, Changbae Bang, Lin Zhao, Jinglei Lv, Jorge Sepulcre, Carl Yang, Lifang He, Tianming Liu, Daniel Barron, Quanzheng Li, Randy Hirschtick, Byung-Hoon Kim, Xiang Li, and Yixuan Yuan. Nature Biomedical Engineering (Nature-BME), 2026 [paper]
	UniField: A unified field-aware MRI enhancement framework Yiyang Lin, Chenhui Wang, Zhihao Peng, and Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2026. [paper]
	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, and Yixuan Yuan. Conference on Neural Information Processing Systems (NeurIPS’25 D&B), 2025 [paper] [data] [homepage]
	GBT: Geometric-oriented Brain Transformer for Autism Diagnosis Zhihao Peng, Zhibin He, Yu Jiang, Pengyu Wang, and Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 [paper] [code]
	Hierarchical Graph Learning with Small-World Brain Connectomes for Cognitive Prediction Yu Jiang, Zhibin He, Zhihao Peng, and Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 [paper] [code]
	F2TNet: FMRI to T1w MRI Knowledge Transfer Network for Brain Multi-phenotype Prediction Zhibin He, Wuyang Li, Yu Jiang, Zhihao Peng, Pengyu Wang, Xiang Li, Tianming Liu, Junwei Han, Tuo Zhang, and Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 [paper] [code]
	fTSPL: Enhancing Brain Analysis with fMRI-Text Synergistic Prompt Learning Pengyu Wang, Huaqi Zhang, Zhibin He, Zhihao Peng, and Yixuan Yuan. International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2024 [paper] [code]
	EGRC-Net: Embedding-induced Graph Refinement Clustering Network Zhihao Peng, Hui Liu, Yuheng Jia, and Junhui Hou. IEEE Transactions on Image Processing (TIP), 2023 [paper][code]
	Deep Attention-guided Graph Clustering with Dual Self-supervision Zhihao Peng, Hui Liu, Yuheng Jia, and Junhui Hou. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022 [paper][code]
	Adaptive Attribute and Structure Subspace Clustering Network Zhihao Peng, Hui Liu, Yuheng Jia, and Junhui Hou. IEEE Transactions on Image Processing (TIP), 2022 [paper][code]
	Attention-driven Graph Clustering Network Zhihao Peng, Hui Liu, Yuheng Jia, and Junhui Hou. ACM Multimedia (ACM MM), 2021 [paper] [code] [video]
	Maximum Entropy Subspace Clustering Network Zhihao Peng, Yuheng Jia, Hui Liu, Junhui Hou, and Qingfu Zhang. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021 [paper][code]
	Non-Negative Transfer Learning With Consistent Inter-Domain Distribution Zhihao Peng, Yuheng Jia, and Junhui Hou. IEEE Signal Processing Letters (SPL), 2020 [paper][code]
	Active Transfer Learning Zhihao Peng, Wei Zhang, Na Han, Xiaozhao Fang, Peipei Kang, and Luyao Teng. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2019 [paper][code]

Patents

	"Pedestrian re-identification method, device, and readable storage medium" 一种行人重识别方法、装置及可读存储介质 Zhihao Peng, First student inventor China Invention Patent (Granted) CN109492610B [ link]
	"Method and device for removing the mask from phase spectrum" 一种相位谱去除掩膜的方法与装置 Zhihao Peng, First inventor China Invention Patent (Granted) CN107424616B [link]