YANG Yehui 杨叶辉
Email: at 126 dot com

My research interests include computer vision, multimodal machine learning related applications

[Google Scholar]

Short BIO

Publication

• Lingdong Shen, Fangxin Shang, Yehui Yang*, Xiaoshuang Huang, Shiming Xiang:
  SegICL: A Universal In-context Learning Framework for Enhanced Segmentation in Medical Imaging.
  in: arXiv:2403.16578, 2024.(*corresponding author and project leader)[paper]


• Junde Wu, Rao Fu, Huihui Fang, Yu Zhang, Yehui Yang, Haoyi Xiong, Huiying Liu, Yanwu Xu:
  Medsegdiff: Medical image segmentation with diffusion probabilistic model.
  in: Medical Imaging with Deep Learning 2024.[paper]

• Fangxin Shang, Jie Fu, Yehui Yang*, Haifeng Huang, Junwei Liu, Lei Ma:
  SynFundus-1M: A High-quality Million-scale Synthetic fundus images Dataset with Fifteen Types of Annotation.
  in: arXiv:2312.00377, 2023.(*corresponding author and project leader)[paper]

• Yuan Xia, Zhenhui Shi, Jingbo Zhou, Jiayu Xu, Chao Lu, Yehui Yang, Lei Wang, Haifeng Huang, Xia Zhang, Junwei Liu:
  A Speaker-Aware Co-Attention Framework for Medical Dialogue Information Extraction.
  in: EMNLP 2022.[paper]


• Fangxin Shang*, Yehui Yang*, Dalu Yang, Junde Wu, Xiaorong Wang, Yanwu Xu:
  One Hyper-Initializer for All Network Architectures in Medical Image Analysis.
  arXiv preprint 2206.03661, 2022. (*equal contribution)[paper]


• Wenshuo Zhou, Dalu Yang, Binghong Wu, Yehui Yang*, Junde Wu, Xiaorong Wang, Lei Wang, Haifeng Huang, Yanwu Xu:
  Contrastive Centroid Supervision Alleviates Domain Shift in Medical Image Classification.
  arXiv preprint 2205.15658, 2022. (*corresponding author and project leader)[paper]


• Fangxin Shang, Siqi Wang, Xiaorong Wang and Yehui Yang*:
  An Effective Transformer-based Solution for RSNA Intracranial Hemorrhage Detection Competition.
  arXiv preprint 2205.07556, 2022. (*corresponding author and project leader)[paper][code]


• Junde Wu, Huihui Fang, Dalu Yang, Zhaowei Wang, Wenshuo Zhou, Fangxin Shang, Yehui Yang, Yanwu Xu:
  Opinions Vary? Diagnosis First!
  in: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.[paper]


• Junde Wu, Huihui Fang, Fangxin Shang, Zhaowei Wang, Dalu Yang, Wenshuo Zhou, Yehui Yang, Yanwu Xu:
  Learning self-calibrated optic disc and cup segmentation from multi-rater annotations
  in: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.[paper]


• Fei Li, Jianying Pan, Dalu Yang, Junde Wu, Yiling Ou, Huiting Li, Jiamin Huang, Huirui Xie, Dongmei Ou, Xiaoyi Wu, Binghong Wu, Qinpei Sun, Huihui Fang, Yehui Yang, Yanwu Xu, Yan Luo, Xiulan Zhang:
  A multicenter clinical study of the automated fundus screening algorithm
  Translational Vision Science & Technology， vol.11 (7), pp.22, 2022.


• Junde Wu, Huihui Fang, Fangxin Shang, Zhaowei Wang, Dalu Yang, Jing, Gao, Yehui Yang, Yanwu Xu:
  SeATrans: Learning Segmentation-Assisted diagnosis model via Transformer
  in: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.

• Yehui Yang*, Fangxin Shang*, Binghong Wu, Dalu Yang, Lei Wang, Yanwu Xu, Wensheng Zhang, Tianzhu Zhang:
  Robust Collaborative Learning of Patch-level and Image-level Annotations for Diabetic Retinopathy Grading from Fundus Image.
  IEEE Transactions on Cybernetics (TCYB), 2021, doi: 10.1109/TCYB.2021.3062638. (*equal contribution)[paper][code]


• Xu Sun, Huihui Fang, Yehui Yang*, Dongwei Zhu, Lei Wang, Junwei Liu, Yanwu Xu:
  Robust Retinal Vessel Segmentation from a Data Augmentation Perspective.
  in: OMIA@MICCAI 2021.(*project leader)[paper][code]


• Binghong Wu, Yehui Yang* , Dalu Yang, Junde Wu, Haifeng Huang, Lei Wang, Junwei Liu, Yanwu Xu:
  Progressive Hard-case Mining across Pyramid Levels in Object Detection.
  CoRR abs/2109.07217, 2021.(* corresponding author and project leader)[paper]

• Dalu Yang*, Yehui Yang*, Tiantian Huang, Binghong Wu, Lei Wang, Yanwu Xu:
  Residual-CycleGAN Based Camera Adaptation for Robust Diabetic Retinopathy Screening.
  in: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2020. (* equal contribution)[paper]

• Yehui Yang, Dalu Yang, Yanwu Xu, Lei Wang, Yan-ping Huang, Xing Li, Xuan Liu and Le Van La:
  “AI and retinal image analysis at Baidu.”
  Chapter 19 Editor(s): Emanuele Trucco, Tom MacGillivray, Yanwu Xu, In The Elsevier and MICCAI Society Book Series,
  Computational Retinal Image Analysis, Academic Press, 2019, Pages 405-427, ISBN 9780081028162。[paper]


• Yehui Yang, Jia Liu, Yanwu Xu, Yan Huang, Lei Wang:
  A novel lesion detection algorithm based on multi-scale input convolutional neural network model for diabetic retinopathy,
  Chinese Journal of Experimental Ophthalmology, 37(8):624-629, 2019.[paper]


• Jinghao Niu, Yehui Yang, Siheng Zhang, Zhengya Sun, Wensheng Zhang:
  Multi-task Character-Level Attentional Networks for Medical Concept Normalization.
  Neural Process. Lett. 49(3): 1239-1256 (2019)[paper]

• Yehui Yang, Wenrui Hu, Yuan Xie, Wensheng Zhang, Tianzhu Zhang:
  Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning.
  IEEE Transactions on Cybernetics (TCYB), 47(2): 485-498, 2017.[paper]


• Yehui Yang, Wenrui Hu, Wensheng Zhang, Tianzhu Zhang, Yuan Xie:
  Discriminative Reverse Sparse Tracking via Weighted Multitask Learning.
  IEEE Transactions on Circuits System Video Technology (TCSVT) 27(5): 1031-1042, 2017.[paper]


• Yehui Yang, Tao Li, Wensi Li, Haishan Wu, Wei Fan, Wensheng Zhang:
  Lesion Detection and Grading of Diabetic Retinopathy via Two-Stages Deep Convolutional Neural Networks.
  International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017. [paper]


• Tao Li, Wu Li, Yehui Yang, Wensheng Zhang:
  Classification of brain disease in magnetic resonance images using two-stage local feature fusion.
  PLOS ONE 12(2), 2017.[paper]


• Wenrui Hu, Yehui Yang, Wensheng Zhang, Yuan Xie:
  Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition.
  IEEE Transactions on Image Processing (TIP), 26(2): 724-737, 2017.[paper]


• Wenrui Hu, Dacheng Tao, Wensheng Zhang, Yuan Xie, Yehui Yang:
  The Twist Tensor Nuclear Norm for Video Completion.
  IEEE Transactions on Neural Networks and Learning System (TNNLS) , 28(12): 2961-2973, 2017.[paper]

• Xin Wang, Yanshuang Ren, Yehui Yang, Wensheng Zhang, Neal N. Xiong:
  A Weighted Discriminative Dictionary Learning Method for Depression Disorder Classification Using fMRI Data.
  in: BDCloud-SocialCom-SustainCom 2016.

• Yehui Yang, Yuan Xie, Wensheng Zhang, Wenrui Hu, Yuanhua Tan:
  Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking.
  Neurocomputing 160: 191-205 (2015).[paper]


• Wenrui Hu, Dacheng Tao, Wensheng Zhang, Yuan Xie, Yehui Yang:
  A New Low-Rank Tensor Model for Video Completion.
  CoRR abs/1509.02027 (2015)[paper]


• Qingchun Li, Wensheng Zhang, Gang Han, and Yehui Yang:
  Adaptive neuro-fuzzy sliding mode control guidance law with impact angle constraint.
  IET Control Theory & Applications, 9(14) 2115-2123,2015.[paper]

Awards

• Wu Wen Jun AI Science & Technology Award, 2020. (The highest award of Chinese Association for Artificial Intelligence. Ranked Fourth).


• The expert of patent examiner, China National Intellectual Property Administration, 2021.


• Baidu ACG Major Project Breakthrough Award, 2021H2.


• Baidu AIG Outstanding Technology Pioneer Award, 2018H2.


• Baidu AIG Outstanding Technology Application Award, 2018.


• Baidu Seasonal Star Award, 2017 and 2018.