Zhihao Peng (彭志浩)

Postdoc Fellow
Department of Electronic Engineering,
The Chinese University of Hong Kong,
Kowloon, Hong Kong.
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 passion lies at the intersection of brain data analysis, computer vision, and machine learning. I strive to develop innovative and intelligent systems that empower seamless human-machine interaction and collaboration while fostering trustworthy clinical decision-making. My current focus is self-supervised embedding learning, graph structure learning, and multi-agent modeling.

Pre-print

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 ( arXiv:2601.02737), 2026
[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]

Adaptive Cluster Collaborativeness Boosts LLMs Medical Decision Support Capacity
Zhihao Peng, Liuxin Bao, and Yixuan Yuan.

arXiv (arXiv:2507.21159), 2025
[paper]

Towards a general-purpose foundation model for fMRI 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.

arXiv (arXiv:2506.11167), 2025
[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.

arXiv (arXiv:2503.13205), 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]

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]

Awards & Experiments

[Sep. 2023] Outstanding Academic Performance Award, CityU, HongKong
[Sep. 2022] Research Tuition Scholarship (Institutional), CityU, HK
[Sep. 2021] Research Tuition Scholarship (Institutional), CityU, HK
[Sep. 2021] Outstanding Academic Performance Award, CityU, HongKong
[Jun. 2019] Outstanding Graduates, GDUT, GuangDong
[Jun. 2019] Outstanding Diploma Thesis Award, GDUT, GuangDong
[Jul. 2018] Visiting scholar at Nipissing University, Ontario, CANADA
[Jul. 2017] Visiting student at Shibaura Institute of Technology, Tokyo, JAPAN
[Jul. 2017 - Jul. 2018] GDUT Student Branch Vice Chairman of China Computer Federation (CCF)
[Jun. 2016] Outstanding Graduates, GDUT, GuangDong
[Jul. 2014] Excellent Students Cadre, GDUT, GuangDong

Teaching

CS2115, Computer Organization, TA
CS2116, Computer Systems, TA
CS4182, Computer Graphics, TA
CS5182, Computer Graphics, TA

Services

# Conference Organizer
38th Annual Conference on Neural Information Processing Systems (NeurIPS) Workshop
Vancouver Convention Center, 2024 [Link]

# Conference Reviewer

Conference on Neural Information Processing Systems (NeurIPS) 2024

Association for the Advancement of Artificial Intelligence (AAAI) 2023,24,25

IEEE International Conference on Multimedia and Expo (ICME) 2021,22,23,24

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023, 24

IEEE Visual Communications and Image Processing (VCIP) 2021,22,23,24

# Journal Reviewer

IEEE Transactions on Image Processing (IEEE T IMAGE PROCESS)

IEEE Transactions on Circuits and Systems for Video Technology (IEEE T CIRC SYST VID)

IEEE Transactions on Systems, Man, and Cybernetics: Systems

IEEE-CAA Journal of Automatica Sinica (IEEE-CAA J AUTOMATIC)

Pattern Recognition (PATTERN RECOGN)

Neurocomputing (NEUROCOMPUTING)

Information Sciences (INFORM SCIENCES)

The Computer Journal (COMPUT J)

© Copyright © Zhihao Peng.

	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 ( arXiv:2601.02737), 2026 [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]
	Adaptive Cluster Collaborativeness Boosts LLMs Medical Decision Support Capacity Zhihao Peng, Liuxin Bao, and Yixuan Yuan. arXiv (arXiv:2507.21159), 2025 [paper]
	Towards a general-purpose foundation model for fMRI 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. arXiv (arXiv:2506.11167), 2025 [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. arXiv (arXiv:2503.13205), 2025 [paper]

	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]
	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]

	"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]