Yan Wang

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.

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 looking for self-motivated students working with me on medical image analysis, computer vision and machine learning for 2022 and 2023. For prospective students, please send me an email with your CV and transcript.

Yan Wang received her B.E. degree in electronics and information engineering from Huazhong University of Science and Technology, and completed her Ph.D. in electrical and electronic engineering at Nanyang Technological University. She was a research scholar with the Department of Electrical and Computer Engineering at the Ohio State University. She then held a postdoctoral position with the Center for Imaging Science, the Johns Hopkins University (2017-2020). She is currently a Zijiang Young Scholar at the School of Communication and Electronic Engineering at East China Normal University. She has over 30 peer-reviewed publications in medical image analysis and computer vision related areas, including IEEE Trans. PAMI, IEEE Trans. Image Processing, IEEE Trans. Medical Imaging, IEEE Trans. Multimedia, Medical Image Analysis, CVPR, ICCV and MICCAI. She served as a Guest Editor for the EURASIP Journal on Image and Video Processing special issue on ‘Modeling and Representation for Big Visual Data’ in 2018. She was the recipient of Nanyang Engineering Doctoral Scholarship (NEDS) award in 2011.

Medical Imaging, Computer Vision, Skeleton-Based Shape Modeling, Object Recognition

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

Selected publications:

Journal papers:

1. 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.

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. Yan Wang, Sheng Li, Alex C. Kot. On Branded Handbag Recognition. IEEE Transactions on Multimedia, 2016

10. Yan Wang, Sheng Li, Alex C. Kot. DeepBag: Recognizing Handbag Models. IEEE Transactions on Multimedia, 2015

11. Wei Shen, Yan Wang, Xiang Bai, Hongyuan Wang, Longin Jan Latecki. Shape Clustering: Common Structure Discovery. Pattern Recognition, 2013

Conference papers:

1. Xintian Mao, Yiming Liu, Fengze Liu, Qingli Li, Wei Shen, Yan Wang*. Intriguing Findings of Frequency Selection for Image Deblurring. AAAI, 2023

2. Xingran Xie, Yan Wang*, Qingli Li. S3R: Self-supervised Spectral Regression for Hyperspectral Histopathology Image Classification. MICCAI, 2022

3. Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen. ContrastMask: Contrastive Learning to Segment Every Thing. CVPR, 2022

4. 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

5. 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

6. 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)

7. 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.

8. Zhishuai Zhang, Wei Shen, Siyuan Qiao, Yan Wang, Bo Wang, Alan Yuille. Robust Face Detection via Learning Small Faces on Hard Images. WACV, 2020

9. 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

10. 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

11. 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)

12. 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

13. Wei Shen, Yilu Guo, Yan Wang, Kai Zhao, Bo Wang, Alan Yuille. Deep Regression Forests for Age Estimation. CVPR, 2018

14. Wei Shen, Bin Wang, Yuan Jiang, Yan Wang, Alan Yuille. Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection. ICCV, 2017

15. 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

16. 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

17. 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

18. Yan Wang, Sheng Li, Alex C. Kot. Joint Learning for Image-based Handbag Recommendation. ICME, 2015 (Oral)

19. 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

20. Yan Wang, Sheng Li, Alex C. Kot. Complementary Feature Extraction for Branded Handbag Recognition. ICIP, 2014

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