个人资料
教育经历Ph.D., School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 2017. Advisor: Prof. Alex Kot. B.E., Information Engineering, Huazhong University of Science and Technology, Wuhan, China. 工作经历Oct 2020 – Present, Zijiang Young Scholar, School of Communication and Electronic Engineering, East China Normal University Feb 2017 – Aug 2020, Postdoc Researcher, Dept of Computer Science, John Hopkins University. Advisor: Prof. Alan Yuille (Prof. Stephen Hawking's PhD student) Feb 2016 – Jan 2017, Research Scholar, Dept of Electrical and Electronic Engineering, The Ohio State University. Advisor: Prof. Aleix Martinez I'm always looking for self-motivated students working with me on medical image analysis, computer vision and machine learning. For prospective students, please send me an email with your CV and transcript. 实验室招新：
个人简介王妍，华东师范大学通信与电子工程学院教授，国家级青年人才入选者，上海市高层次人才，紫江优秀青年学者。在新加坡南洋理工大学电气与电子工程学院获得博士学位。曾在俄亥俄州立大学CBCS实验室Aleix Martinez教授组访学，在约翰霍普金斯大学CCVL实验室Alan Yuille教授组做博士后。她致力于研究医学图像分析与分割、多维成像技术，主要成果发表在医学图像处理及人工智能的顶级期刊和会议上。她发表论文四十余篇，其中包括IEEE Trans. PAMI, IEEE Trans. Image Processing, IEEE Trans. Medical Imaging, IEEE Trans. Multimedia, Medical Image Analysis, CVPR, ICCV 和 MICCAI，谷歌学术引用近4000次。担任多个SCI期刊的客座编辑。主持多项国家级和省部级项目。 社会兼职研究方向
Medical Imaging, Computer Vision, Skeleton-Based Shape Modeling, Object Recognition
招生与培养开授课程人工智能理论与实践（本科） 信息与通信工程导论（本科） 科研项目National Natural Science Foundation of China, Deep shape description- and abstraction-based CT image segmentation, Principal Investigator Shanghai Natural Science Foundation, Skeleton, contour modeling and abstract shape representation learning based CT image segmentation, Principal Investigator 学术成果Selected publications: Conference papers: Xintian Mao, Qingli, Yan Wang*. AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring. CVPR, 2024 Shitian Zhao, Zhuowan Li, Yadong Lu, Alan Yuille, Yan Wang*. Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models. CVPR, 2024 Zhiheng Cheng, Qingyue Wei, Hongru Zhu, Yan Wang, Liangqiong Qu, Wei Shao, Yuyin Zhou. Unleashing the Potential of SAM for Medical Adaptation via Hierarchical Decoding. CVPR, 2024 Chongjie Si, Zekun Jiang, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen. Partial Label Learning with a Partner. AAAI, 2024 Boxiang Yun, Xingran Xie, Qingli Li, Yan Wang*. Uni-Dual: A Generic Unified Dual-Task Medical Self-Supervised Learning Framework. ACM MM, 2023 Xingran Xie, Ting Jin, Boxiang Yun, Qingli Li, Yan Wang*. Exploring Hyperspectral Histopathology Image Segmentation from A Deformable Perspective. ACM MM, 2023 Boxiang Yun, Qingli Li, Lubov Mitrofanova, Chunhua Zhou, Yan Wang*. Factor Space and Spectrum for Medical Hyperspectral Image Segmentation. MICCAI, 2023 Ting Jin, Xingran Xie, Renjie Wan, Qingli Li, Yan Wang*. Gene-induced Multimodal Pre-training for Image-omic Classification. MICCAI, 2023 Yushan Xie, Yuejia Yin, Qingli Li, Yan Wang*. Deep Mutual Distillation for Semi-Supervised Medical Image Segmentation. MICCAI, 2023 Yunhao Bai, Duowen Chen, Qingli Li, Wei Shen, Yan Wang*. Bidirectional Copy-Paste for Semi-supervised Medical Image Segmentation. CVPR, 2023 Duowen Chen, Yunhao Bai, Wei Shen, Qingli Li, Lequan Yu, Yan Wang*. MagicNet: Semi-supervised Multi-organ Segmentation via Magic-Cube Partition and Recovery. CVPR, 2023 Ming Li, Qingli Li, Yan Wang*. Class Balanced Adaptive Pseudo Labeling for Federated Semi-supervised Learning. CVPR, 2023 Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang*. Intriguing Findings of Frequency Selection for Image Deblurring. AAAI, 2023 Xingran Xie, Yan Wang*, Qingli Li. S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification. MICCAI, 2022 Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen. ContrastMask: Contrastive Learning to Segment Every Thing. CVPR, 2022 Yuan Yao, Fengze Liu, Zongwei Zhou, Yan Wang, Wei Shen, Alan Yuille, Yongyi Lu. Unsupervised Domain Adaptation through Shape Modeling for Medical Image Segmentation. MIDL, 2022 Jieneng Chen, Yongyi Lu, Qihang Yu, Xiangde Luo, Ehsan Adeli, Yan Wang, Le Lu, Alan Yuille, Yuyin Zhou. TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation. ICML Workshop on IMLH, 2021 Yan Wang, Xu Wei, Fengze Liu, Jieneng Chen, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille. Deep Distance Transform for Tubular Structure Segmentation in CT Scans. CVPR, 2020 (Oral presentation) Shuhao Fu, Yongyi Lu, Yan Wang, Yuyin Zhou, Wei Shen, Elliot Fishman, Alan Yuille. Domain Adaptive Relational Reasoning for 3D Multi-Organ Segmentation. MICCAI, 2020. Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan Yuille. Robust Face Detection via Learning Small Faces on Hard Images. WACV, 2020 Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot Fishman, Alan Yuille, Seyoun Park. Hyper-pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. MICCAI, 2019 Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan Yuille. Semi-Supervised 3D Multi-Organ Segmentation via Deep Multi-Planar Co-Training. WACV, 2019 Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot Fishman, Alan Yuille. Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. MICCAI, 2018 (Early accept) Qihang Yu, Lingxi Xie, Yan Wang, Yuyin Zhou, Elliot Fishman, Alan Yuille. Recurrent Saliency Transformation Network: Incorporating Multi-Stage Visual Cues for Small Organ Segmentation. CVPR, 2018 Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille. Deep Regression Forests for Age Estimation. CVPR, 2018 Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan Yuille. Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection. ICCV, 2017 Fabian Benitez-Quiroz, Yan Wang, Aleix M. Martinez. Recognition of Action Units in the Wild with Deep Nets and a New Global-Local Loss. ICCV, 2017 Yuyin Zhou, Lingxi Xie, Wei Shen, Yan Wang, Elliot Fishman, Alan Yuille. A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans. MICCAI, 2017 Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Zhijiang Zhang, Xiang Bai. Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs. CVPR, 2016 Yan Wang, Sheng Li, Alex C. Kot. Joint Learning for Image-based Handbag Recommendation. ICME, 2015 (Oral) Wei Shen, Xinggang Wang, Yan Wang, Xiang Bai, Zhijiang Zhang. DeepContour: A Deep Convolutional Feature Learned by Positive-sharing Loss for Contour Detection. CVPR, 2015 Yan Wang, Sheng Li, Alex C. Kot. Complementary Feature Extraction for Branded Handbag Recognition. ICIP, 2014 Journal papers: Boxiang Yun, Baiying Lei, Jieneng Chen, Huiyu Wang, Song Qiu, Wei Shen, Qingli Li, Yan Wang*. SpecTr: Spectral Transformer for Microscopic Hyperspectral Pathology Image Segmentation. IEEE Transactions on Circuits and Systems for Video Technology, 2023 Michela Antonelli, Annika Reinke, Spyridon Bakas, Keyvan Farahani, AnnetteKopp-Schneider, Bennett A. Landman, Geert Litjens, Bjoern Menze, Olaf Ronneberger, Ronald M.Summers, Bram van Ginneken, Michel Bilello, Patrick Bilic, Patrick F. Christ, Richard K. G. Do, Marc J. Gollub, Stephan H. Heckers, Henkjan Huisman, William R. Jarnagin, Maureen K. McHugo, Sandy Napel, Jennifer S. Goli Pernicka, Kawal Rhode, Catalina Tobon-Gomez, Eugene Vorontsov, Henkjan Huisman, James A. Meakin, Sebastien Ourselin, Manuel Wiesenfarth, Pablo Arbelaez, Byeonguk Bae, Sihong Chen, Laura Daza, Jianjiang Feng, Baochun He, Fabian Isensee, Yuanfeng Ji, Fucang Jia, Namkug Kim, Ildoo Kim, Dorit Merhof, Akshay Pai, Beomhee Park, Mathias Perslev, Ramin Rezaiifar, Oliver Rippel, Ignacio Sarasua, Wei Shen, Jaemin Son, Christian Wachinger, Liansheng Wang, Yan Wang, Yingda Xia, Daguang Xu, Zhanwei Xu, Yefeng Zheng, Amber L. Simpson, Lena Maier-Hein, M. Jorge Cardoso. The Medical Segmentation Decathlon. Nature Communications, 2022. Yuyin Zhou, David Dreizin, Yan Wang, Fengze Liu, Wei Shen, Alan Yuille. External Attention Assisted Multi-Phase Splenic Vascular Injury Segmentation with Limited Data. IEEE Transactions on Medical Imaging, 2022 Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan Yuille. Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. IEEE Transactions on Medical Imaging, 2021 Wei Shen, Yilu Guo, Yan Wang*, Kai Zhao, Bo Wang, Alan Yuille. Deep Differentiable Random Forests for Age Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 Lingxi Xie, Qihang Yu, Yuyin Zhou, Yan Wang*, Elliot Fishman and Alan Yuille. Recurrent Saliency Transformation Network for Tiny Target Segmentation in Abdominal CT Scans. IEEE Transactions on Medical Imaging, 2020 Yan Wang, Yuyin Zhou, Wei Shen, Seyoun Park, Elliot Fishman and Alan Yuille. Abdominal Multi-organ Segmentation with Organ-attention Networks and Statistical Fusion. Medical Image Analysis, 2019 Ruiqi Zhao, Yan Wang, Aleix M. Martinez. A Simple, Fast and Highly-Accurate Algorithm to Recover 3D Shape from 2D Landmarks on a Single Image. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017 Wei Shen, Kai Zhao, Yuan Jiang, Yan Wang, Xiang Bai, Alan Yuille. DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images. IEEE Transactions on Image Processing, 2017 Yan Wang, Sheng Li, Alex C. Kot. On Branded Handbag Recognition. IEEE Transactions on Multimedia, 2016 Yan Wang, Sheng Li, Alex C. Kot. DeepBag: Recognizing Handbag Models. IEEE Transactions on Multimedia, 2015 Wei Shen, Yan Wang, Xiang Bai, Hongyuan Wang, Longin Jan Latecki. Shape Clustering: Common Structure Discovery. Pattern Recognition, 2013 荣誉及奖励入选2023“上海科技青年35人引领计划” Student travel award in MICCAI 2018 Nanyang Engineering Doctoral Scholarship (NEDS) award in 2011 Best speaker awards in the Graduate Student Workshop (organized by IEEE Circuits and Systems Society) in 2014 |
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王妍 |
