杨艳，博士，杭州电子科技大学计算机学院讲师，硕士生导师（计科、计专、软学、软专），为媒体智能实验室（Media Intelligence Lab, MIL）团队成员。主持国家自然科学青年基金1项，浙江省自然科学探索青年项目1项，浙江省属高校基金1项。在国际学术期刊和学术会议上发表论文10余篇，包含IEEE TMI、IEEE TMM、IEEE JBHI、CVPR和AAAI等知名国际期刊和会议论文，并担任多个国际期刊和会议审稿人。研究方向为多模态学习、大模型推理、智能体、医学影像分析、AI for Medicine等AI前沿课题。
招生：实验室长期招硕士生、博士生，欢迎各位有人工智能/深度学习/多模态学习/大模型智能体/医学影像分析/AI for Medicine经验的同学报考。也欢迎对相关方向感兴趣的本科生一起参与科研训练和毕业设计。目前，指导本科生楼金辉同学一作发表IEEE TMI，该同学保研至北京大学。指导研究生获得国家奖学金1人次。
担任IEEE TMI、IEEE TMM、IEEE TIP、IEEE TCSVT、IEEE JBHI、CVPR、ICCV、AAAI、ECCV、Neurips、IJCAI、ACM MM、ICME、Artificial Intelligence In Medicine、Informatics in Medicine Unlocked、Pattern Recognition、Biomedical Signal Processing and Control、Engineering Applications of Artificial Intelligence、Expert Systems with Applications、IEEE Signal Processing Letters、Neural Networks、Neurocomputing、Information Sciences、Information Fusion、Knowledge-Based Systems、Scientific Reports等期刊和会议的审稿人.
担任浙江省人工智能协会智慧医疗分会青年委员和浙江省抗癌协会人工智能肿瘤诊疗专委会成员。
研究领域
多模态学习、大模型推理、智能体、医学影像分析、AI for Medicine
教学与课程
深度学习；数字图像处理；计算机类学科导论；计算机科学概论；离散数学(In English)
横向科研
纵向科研
主持项目：
浙江省自然科学基金探索青年项目：《基于多模态表征学习的医学影像报告生成研究》，10万。
国家自然科学基金青年基金项目：《基于多模态深度知识推理的胸片报告生成方法研究》，30万。
参与项目：
浙江省科技计划项目-尖兵计划：《国产化端侧内容极致性能生成算法和系统》。
论文
(1) Yan Yang; Xiaoxing You; Ke Zhang; Zhenqi Fu; Xianyun Wang; Jiajun Ding; Jiamei Sun; Zhou Yu; Qingming Huang; Weidong Han; Jun Yu; Spatio-Temporal and Retrieval-Augmented Modelling for Chest X-Ray Report Generation. IEEE Transactions on Medical Imaging, 2025. (一区Top期刊)
(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. (一区Top期刊)
(3) Jinhui Lou; Yan Yang*; Zhou Yu; Zhenqi Fu; Weidong Han; Qingming Huang; Jun Yu*; CXRAgent: Director-Orchestrated Multi-Stage Reasoning for Chest X-Ray Interpretation, IEEE Transactions on Medical Imaging, 2026. (一区Top期刊, 本科生一作)
(4) 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 (一区Top期刊, CCF-A)
(5) 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. (一区Top期刊)
(6) 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 (一区Top期刊, CCF-A)
(7) 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 (会议论文, CCF-A)
(8) 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 (会议论文, CCF-A)
(9) 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. (一区Top期刊)
(10) Changyue Shi, Chuxiao Yang, Xinyuan Hu, Yan Yang, Jiajun Ding, and Min Tan; MMGS: Multi-model synergistic Gaussian splatting for sparse view synthesis, Image and Vision Computing, 2025. (本科生一作)
