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Yangyan

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Graduated from: Hangzhou Dianzi University

Email: yangyan@hdu.edu.cn

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Personal profile

Yang Yan, Ph.D.

Dr. Yang Yan joined the Department of Computer Science at Hangzhou Dianzi University in May 2023 and is a member of the Media Intelligence Laboratory. She is currently a Master's supervisor. She is the principal investigator of one project funded by the National Natural Science Foundation of China (NSFC) Youth Program, one project supported by the Zhejiang Provincial Natural Science Exploration Youth Program, and one project funded by the Zhejiang Provincial Universities Foundation. She has published over 10 papers in international academic journals and conferences, including renowned venues such as IEEE TMI, IEEE TMM, IEEE JBHI, CVPR, and AAAI. Additionally, she serves as a reviewer for multiple international journals and conferences. Her research interests include medical image analysis, medical vision-language learning, and multimodal learning, focusing on cutting-edge artificial intelligence topics.

Student Recruitment

Our lab is actively recruiting Master's and Ph.D. students. Students with experience in artificial intelligence, machine learning, deep learning, multimodal learning, or medical image analysis are highly encouraged to apply.


Contact Email:yangyan@hdu.edu.cn


Educational experience

Education

  • Ph.D. in Computer Science and Technology, Hangzhou Dianzi University, September 2019 – October 2022
    Advisor: Prof. Jun Yu

  • M.S. in Signal and Information Processing, Ningbo University, September 2016 – June 2019
    Advisor: Prof. Feng Shao

  • B.S. in Communication Engineering, Ningbo University, September 2012 – June 2016


Cwork experience

May 2023 – Present
Lecturer, School of Computer Science, Hangzhou Dianzi University


Social position

Serves as a reviewer for journals and conferences including IEEE TMI, IEEE TMM, IEEE TCSVT, AAAI, IJCAI, Artificial Intelligence in Medicine, and Information Sciences.

Research field

Deep Learning; Artificial Intelligence; Vision-Language Learning; Medical Image Analysis

Courses

Deep Learning; Digital Image Processing; Introduction to Computer Science; Fundamentals of Computer Science; Discrete Mathematics (In English)

Research project
Scientific research achievements

Projects Led:

  • Zhejiang Provincial Natural Science Foundation Exploration Youth Project: Research on Medical Image Report Generation Based on Multimodal Representation Learning (¥100,000).

  • National Natural Science Foundation of China (NSFC) Youth Project: Research on Chest X-ray Report Generation Based on Multimodal Deep Knowledge Reasoning (¥300,000).

Projects Involved:

  • Zhejiang Provincial Science and Technology Program – Vanguard Plan: Domestic End-Side Content Generation Algorithm and System with Extreme Performance.


Publications

(1) Yan Yang; Xiaoxing YouKe ZhangZhenqi FuXianyun WangJiajun DingJiamei SunZhou YuQingming HuangWeidong HanJun Yu; Spatio-Temporal and Retrieval-Augmented Modelling for Chest X-Ray Report Generation. IEEE Transactions on Medical Imaging, 2025.

(2) Yan Yang; Jun Yu; Zhenqi Fu; Ke Zhang; Ting Yu; Xianyun Wang; Hanliang Jiang; Junhui Lv; Qingming Huang; Weidong Han; Token-Mixer: Bind Image and Text in One Embedding Space for Medical Image Reporting, IEEE Transactions on Medical Imaging, 2024. 

(3) Yan Yang; Jun Yu; Jian Zhang; Weidong Han; Hanliang Jiang; Qingming Huang; Joint Embedding of Deep Visual and Semantic Features for Medical Image Report Generation, IEEE Transactions on Multimedia, 2023, 25: 167-178.

(4) Ke Zhang; Yan Yang; Jun Yu; Jianping Fan; Hanliang Jiang; Qingming Huang; Weidong Han; Attribute Prototype-guided Iterative Scene Graph for Explainable Radiology Report Generation, IEEE Transactions on Medical Imaging, 2024.

(5) Yan Yang; Jun Yu; Hanliang Jiang; Weidong Han; Jian Zhang; Wei Jiang; A Contrastive Triplet Network for Automatic Chest X-ray Reporting, Neurocomputing, 2022, 502: 71-83.

(6) Yan Yang; Feng Shao; Zhenqi Fu; Randi Fu; Blood Vessel Segmentation of Fundus Images via Cross-modality Dictionary Learning, Applied Optics, 2018, 57(25), 7287-7295

(7) Ke Zhang; Yan Yang; Jun Yu; Hanliang Jiang; Jianping Fan; Qingming Huang; Weidong Han; Multi-Task Paired Masking With Alignment Modeling for Medical Vision-Language Pre-Training, IEEE Transactions on Multimedia, 2024, 26: 4706-4721. 

(8) Zhenqi Fu; Yan Yang; Xiaotong Tu; Yue Huang; Xinghao Ding; Kai-Kuang Ma; Learning a Simple Low-light Image Enhancer from Paired Low-light Instances, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver Convention Center, Canada, 2023-6-18至2023-6-22, 22252-22261.

(9) Zhenqi Fu; Huangxing Lin; Yan Yang; Shu Chai; Liyan Sun; Yue Huang; Xinghao Ding; Unsupervised Underwater Image Restoration: From a Homology Perspective, The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Virtual, 2022-2-22至2022-03-01, 36: 643-651.

(10) Ting Yu, Wangwen Lu, Yan Yang, Weidong Han, Qingming Huang, Jun Yu, and Ke Zhang; Adapter-Enhanced Hierarchical Cross-Modal Pre-training for Lightweight Medical Report Generation, IEEE Journal of Biomedical and Health Informatics, 2025.


Books
Patent
Honor and Award
Software Copyright