Education

• 2019.09 - 2022.10, Ph.D. in Computer Science, School of Computer Science and Technology,
  Hangzhou Dianzi University, China. Supervisor: Jun Yu
  
• 2016.09-2019.06, Master in Signal Processing, Faculty of Information Science and Engineering,
  Ningbo University, China. Supervisor: Feng Shao
  
• 2012.09-2016.06, Bachelor in Communication Engineering, Faculty of Information Science and Engineering,
  Ningbo University, China.
  

Publications

  Journal

1. Token-Mixer: Bind Image and Text in One Embedding Space for Medical Image Reporting.
   Yan Yang, Jun Yu, Zhenqi Fu, Ke Zhang, Ting Yu, Xianyun Wang, Hanliang Jiang, Junhui Lv, Qingming Huang, and Weidong Han.
   IEEE Transactions on Medical Imaging (2024 Accepted).
2. Joint Embedding of Deep Visual and Semantic Features for Medical Report Generation.
   Yan Yang, Jun Yu, Jian Zhang, Weidong Han, Hanliang Jiang, Qingming Huang.
   IEEE Transactions on Multimedia, vol. 25, pp. 167-178, (2023).
3. Attribute Prototype-guided Iterative Scene Graph for Explainable Radiology Report Generation.
   Ke Zhang, Yan Yang, Jun Yu, Jianping Fan, Hanliang Jiang, Qingming Huang, Weidong Han.
   IEEE Transactions on Medical Imaging (2024 Accepted).
4. A Contrastive Triplet Network for Automatic Chest X-Ray Reporting.
   Yan Yang, Jun Yu, Hanliang Jiang, Weidong Han, Jian Zhang, Wei Jiang.
   Neurocomputing, vol. 502, pp. 71-83, (2022).
5. Multi-task Paired Masking with Alignment Modeling for Medical Vision-Language Pre-training.
   Ke Zhang, Yan Yang, Jun Yu, Hanliang Jiang, Jianping Fan, Qingming Huang, Weidong Han.
   IEEE Transactions on Multimedia, (2023).
6. Discriminative Dictionary Learning for Retinal Vessel Segmentation Using Fusion of Multiple Features.
   Yan Yang, Feng Shao, Zhenqi Fu, Randi Fu.
   Signal, Image and Video Processing, vol. 13, no. 18, pp. 1529–1537, (2019).
7. Blood Vessel Segmentation of Fundus Images via Cross-modality Dictionary Learning.
   Yan Yang, Feng Shao, Zhenqi Fu, Randi Fu.
   Applied Optics, vol. 57, no. 25, pp. 7287 - 7295, (2018).
8. Automated Quality Assessment of Fundus Images via Analysis of Illumination, Naturalness and Structure.
   Feng Shao, Yan Yang, Qiuping Jiang, Gangyi Jiang, Yo-sung Ho.
   IEEE Access, vol. 6, pp. 806-817, (2018).

  Conference

1. Learning a Simple Low-light Image Enhancer from Paired Low-light Instances.
   Zhenqi Fu, Yan Yang, Xiaotong Tu, Yue Huang, Xinghao Ding, and Kai-Kuang Ma.
   CVPR, 2023.
2. Unsupervised Underwater Image Restoration: From a Homology Perspective.
   Zhenqi Fu, Huangxing Lin, Yan Yang, Shu Chai, Liyan Sun, Yue Huang, Xinghao Ding.
   AAAI, 2022.
3. A Study of Perceptual Quality Assessment for Stereoscopic Image Retargeting.
   Zhenqi Fu, Yan Yang, Feng shao, Xinghao Ding.
   APSIPA 2019. [Database]

Academic Activities

  Invited Reviewer

• IJCAI 2024
• AAAI 2022/23
• Information Sciences
• IEEE Access
• Neural Processing Letters

Resources

  Links

• IU X-Ray Database: A public database containing chest X-rays and related reports. Related paper: Preparing a collection of radiology examinations for distribution and retrieval [2015].
  
• MIT MIMIC-CXR Database: A large public database containing chest X-rays and related reports. Related paper: MIMIC-CXR, a de-identifed publicly available database of chest radiographs with free-text reports [2019].
  
• Bladder Pathology Database: A public database containing bladder pathology images and related reports. Related paper: Pathologist-level interpretable whole-slide cancer diagnosis with deep learning [2019].
  
• MIT RetargetMe Database: A benchmark database for image retargeting subjective quality database [2010].
  
• CUHK IRQA Database: A image retargeting subjective quality database [2012].
  
• DRIVE Database: A database for retinal vessel segmentation [2004].
  

Contact