Yanzhao Shi 时彦钊 (時彥釗)

Department of Electrical and Computer Engineering (ECE), The University of Hong Kong
Work Email: yanzhaoshi@connect.hku.hk
Personal Email: yanzhaoshi0927@outlook.com

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Biography

Welcome! I am currently a PhD student at HKU ECE, supervised by Assistant Professor Feifei Wang and Liangqiong Qu, co-supervised by Professor Hongjie Dai. I obtained my Master's degree at Beijing University of Technology, supervised by Professor Junzhong Ji and Associate Professor Xiaodan Zhang. I also received my early research enlightenment from Professor Xiuyang Zhao as an Undergraduate. I deeply appreciate the dedicated guidance and support.

My current research topics are medical AI and deep learning. I mainly focus on diffusion models, medical multi-modal large language models, and advanced biomedical image synthesis. I'm also interested in contrastive learning, knowledge graph, and vision-language pretraining. The long-term objective of my research is to explore advanced methods for enhancing the explainability, fairness, safety, and human-centric nature of trustworthy medical AI models.

News

[2026.08] One paper was accepted by Lancet Digital Health (IF: 29.8).
[2026.07] One paper was accepted by ACM MM 2026 (CCF-A).
[2026.04] One paper was accepted by CVPR 2026 Findings.
[2025.11] One paper was accepted by AAAI 2026 (CCF-A) (APAO 2026 Best Paper).
[2024.12] One paper was accepted by AAAI 2025 (Oral, Top 4.6%) (CCF-A).
[2024.09] One paper was accepted by EMNLP 2024 Findings.
[2024.08] We proposed a LLM-based gaming AI (Llama_Dou) that achieves first runner-up at the Chinese Collegiate Computer Gaming AI Contest.
[2024.02] One paper was accepted by Multimedia Systems (JCR Q1).
[2024.01] One paper was accepted by Multimedia Systems (JCR Q1).
[2023.11] One paper was accepted by Computers in Biology and Medicine (JCR Q1).
[2023.10] One paper was accepted to EMNLP 2023 (Oral) Paper.
[2023.06] One paper was nominated as the best paper of ChinaMM 2023.
[2023.05] Two papers were accepted to ChinaMM 2023 Paper.

Awards and Honors

2026.02, APAO 2026 Best Scientific Paper Award (Detailed information)
2025.05, Beijing Outstanding Graduate Award
2025.05, Top-100 Outstanding Graduate Award
2024.12, Xiaomi Grand Prize Scholarship [Top 10 Students in BJUT] [20,000 RMB]
2024.12, Technology Star Nomination Award [Top 20 Students in BJUT]
2024.12, China National Scholarship [20,000 RMB]
2024.12, Outstanding Master's Student Award
2024.10, First-Class Academic Scholarship for postgraduates [Rank 1st in major] [10,000 RMB]
2024.08, Chinese Collegiate Computer Gaming AI Contest - First Runner-Up
2023.10, Outstanding Master's Student Award
2023.10, First-Class Academic Scholarship for postgraduates [Rank 1st in major] [10,000 RMB]
2023.08, Chinese Collegiate Computer Gaming AI Contest - First Prize
2023.07, Best Paper Award Nomination at ChinaMM 2023
2022.10, First-Class Academic Scholarship for postgraduates [Recommended exemption graduate] [10,000 RMB]
2022.05, Outstanding Graduate, University of Jinan
2022.04, Outstanding Graduate, Shandong Province
2018-2022, Undergraduate First-Class Academic Scholarship (every year) [Rank 1st in major]
2018-2022, Outstanding Undergraduate Student, University of Jinan (every year)

Publications [Google Scholar]

☆ Medical Vision-Language Understanding

HSENet: Hybrid Spatial Encoding Network for 3D Medical Vision-Language Understanding.

Yanzhao Shi, Xiaodan Zhang, Junzhong Ji, Haoning Jiang, Chengxin Zheng, Yinong Wang, Liangqiong Qu*.
Arxiv 2025 | Paper | Code | Bibtex

A Vision-Language Foundation Model for Precise and Comprehensive Brain Tumor Diagnosis from Preoperative Multimodal Data.

Yinong Wang †, Jianwen Chen †, Zhou Chen †, Shuwen Kuang †, Haoning Jiang, Yanzhao Shi, Huichun Yuan, Yan-ran (Joyce) Wang, Bing Wang, Lei Wu, Bin Tang, Li Meng, Baihua Luo, Bin Zhou, Wei Ding, Weiming Zhong, Wei Hou, Yuanbing Chen, Zhiping Wan, Wei Wang, Zhenkun Xiao, Wenwu Wan, Allen He, Yuyin Zhou, Longbo Zhang, Feifei Wang, Zhixiong Liu, Michael Iv, Xuan Gong*, Liangqiong Qu*
Lancet Digital Health | Paper | Code | Bibtex

☆ Medical Image Diagnosis

MoEA-Net: Modality-Incremental Expert Aggregation Network for Retinal Prognostic Prediction.

Hua Wang, Xiaodan Zhang, Yanzhao Shi* (Corresponding Author), Chengxin Zheng, Wanyu Zhang, Zheng Wang, Jianing Wang, Xiaobing Yu.
AAAI Conference on Artificial Intelligence
AAAI 2026 | Paper | Code | Bibtex

Macula-CoT: Macular Subregion-Aware Chain-of-Thought for AMD Prognostic Prediction.

Xinyue Li, Junzhong Ji, Yanzhao Shi, Yiyang Du, Xiaobo Li, Xiaobing Yu, Xiaodan Zhang.
The 34th ACM International Conference on Multimedia
ACM MM 2026 | Paper | Code | Bibtex

☆ Medical and Biology Image Generation

Agentic AI-powered flexible fiber-bundle endoscopy for high-resolution NIR-II fluorescence imaging in vivo.

Yanzhao Shi †, Yuanhua Liu †, Sixin Xu †, Wayne Jason Li, Yuyuan Chen, Danyang Xu, Zhisheng Wu, Hanze Yu, Ian Yu-Hong Wong, Simon Ying-Kit Law, Hongjie Dai*, Liangqiong Qu*, Feifei Wang*.
Arxiv | Paper | Bibtex

GenSRL: Generative Spatiotemporal Representation Learning for Ophthalmic Prognosis Prediction.

Wanyu Zhang, Yanzhao Shi, Chengxin Zheng, Hua Wang, Jianing Wang, Yue Zhang, Xiaobing Yu, Xiaodan Zhang*.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition
CVPR 2026 Findings | Paper | Bibtex

☆ Medical Report Generation

MEPNet: Medical Entity-balanced Prompting Network for Brain CT Report Generation.

Xiaodan Zhang, Yanzhao Shi, Junzhong Ji*, Chengxin Zheng, and Liangqiong Qu*.
AAAI Conference on Artificial Intelligence (Supervisor First Author) (Oral Paper, Top 4.6%)
AAAI 2025 | Paper | Code | Bibtex

See Detail Say Clear: Towards Brain CT Report Generation via Pathological Clue-driven Representation Learning.

Chengxin Zheng, Junzhong Ji, Yanzhao Shi, Xiaodan Zhang*, Liangqiong Qu.
The 2024 Conference on Empirical Methods in Natural Language Processing (Findings)
EMNLP 2024 Findings | Paper | Code | Bibtex

Granularity Matters: Pathological Graph-driven Cross-modal Alignment for Brain CT Report Generation.

Yanzhao Shi, Junzhong Ji, Xiaodan Zhang*, Liangqiong Qu* and Ying Liu.
The 2023 Conference on Empirical Methods in Natural Language Processing (Oral Long Paper)
EMNLP 2023 | Paper | Bibtex

Weakly Guided Attention Model with Hierarchical Interaction for Brain CT Report Generation.

Xiaodan Zhang, Sisi Yang, Yanzhao Shi, Junzhong Ji*, Ying Liu*, Zheng Wang and Huimin Xu.
Computers in Biology and Medicine
Comput Biol Med 2023 | Paper | Bibtex

Prior Tissue Knowledge-Driven Contrastive Learning for Brain CT Report Generation.

Yanzhao Shi, Junzhong Ji, Xiaodan Zhang*, Ying Liu*, Zheng Wang and Huimin Xu.
Multimedia Systems
Multimedia Syst 2024 | Paper | Bibtex

GHCL: Gaussian Heuristic Curriculum Learning for Brain CT Report Generation.

Qingya Shen, Yanzhao Shi, Xiaodan Zhang*, Junzhong Ji, Ying Liu* and Huimin Xu.
Multimedia Systems
Multimedia Syst 2024 | Paper | Bibtex

Services

Conference Reviewer:

MM 2026
AAAI 2026
NeurIPS 2025
ACM MM 2025
ACM MM 2024
ACL ARR February 2024

Journal Reviewer:

INFORMATION PROCESSING & MANAGEMENT (IF 7.4)