个人简历

1996年于清华大学获得学士学位，2005年从加州大学洛杉矶分校(UCLA)获得计算机科学博士学位，同年被美国Xerox Palo Alto研究中心(Xerox PARC)聘为研究员，2007年12月加入北京大学信息科学技术学院计算机科学技术系数字媒体研究所。在国际重要学术期刊和学术会议发表学术论文100余篇，多篇论文获得最佳论文奖。
Postdoctoral Position Openings

A Postdoctoral Position is currently available in computer vision and autonomous learning. Skills required include mathematical modeling, programming ability (C++, python) and English communication. Knowledge of deep learning and reinforcement learning is strongly preferred. Some publications in top conferences and journals are pre-requisite. Frequent international academic collaboration is expected. Please contact me with CV, and preferable, research statement for more details.

RESEARCH INTERESTS

Computer Vision, Medical Image Analysis, Statistical Learning and Computing, Digital Visual Arts

Computer Vision and Digital Arts (CVDA)

The Computer Vision and Digital Art (CVDA) research group was founded in 2007 within the Institute of Digital Media at Peking University after I joined PKU. We focus on developing computational theories and models to solve challenging computer vision problems in light of biologically plausible evidences of visual perception and cognition. Our primary goal is to establish a mathematical foundation of understanding the computational aspect of the robust and efficient mechanisms of human visual perception, cognition, learning and even more. We also believe that the marriage of science and art will stimulate exciting inspirations on producing creative expressions of visual patterns.
My research interests include:
Computational models for visual attention and autonomous learning
Motion, action, behavior modeling and analysis
Scene and object structure analysis
Medical Image Analysis
Multimedia and mobile computing
Algorithms (Discussion Class, Undergraduate Course) @ Sch'l of EECS, Peking University
Theories, Models and Methods of Computer Vision (Graduate/Undergarduate Course) @ Sch'l of EECS, Peking University
Theories and Methods Pattern Recognition and Statistical Learning (Undergraduate Course) @ Sch'l of EECS, Peking University
Introduction to Computer Systems (Undergraduate Course) @ Sch'l of EECS, Peking University
Models and Methods of Computer Vision (Graduate Course) @ Sch'l of EECS, Peking University
Fundamentals of Digital Media (Undergraduate course, co-teaching) @ Sch'l of EECS, Peking University
Video Coding and Understanding (Graduate course, co-teaching) @ Sch'l of EECS, Peking University
Computer Vision (Graduate course, co-teaching) @ Sch'l of EECS, Peking University

研究领域

计算机视觉、统计建模与计算、数字视觉艺术。"主要研究领域：计算机视觉、统计建模与计算、数字视觉艺术。"

近期论文

Select Publications
2020
1. MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
　　Rongchang Xie, Chunyu Wang, Yizhou Wang
　　IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 16-18, 2020. [PDF]

2. Cross-view Correspondence Reasoning based on Bipartite Graph Convolutional Network for Mammogram Mass Detection
　　Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu
　　IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 16-18, 2020. [PDF]

3. Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
　　Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang
　　The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, USA, Feb. 7-12, 2020. [PDF]

2019
1. AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking
　　Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang
　　IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), in press, 2019. [PDF]

2. End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning
　　Wenhan Luo, Peng Sun, Fangwei Zhong, Tong Zhang, Yizhou Wang
　　IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), in press, 2019. [PDF]

3. Robust 3D Human Pose Estimation from Single Images or Video Sequences
　　Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan Yuille
　　IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 41(5), pp 1227-1241, 2019. [PDF]

4. Fast and Resilient Indoor Floor Plan Construction with a Single User
　　Ruipeng Gao, Bing Zhou, Fan Ye, Yizhou Wang
　　IEEE Transactions on Mobile Computing (IEEE-TMC), vol. 18(5), pp 1083-1097, 2019. [PDF]

5. Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
　　Peng Cao*, Yilun Xu*, Yuqing Kong, Yizhou Wang
　　Seventh International Conference on Learning Representations (ICLR), New Orleans, USA, May 6-9, 2019. [PDF]

6. AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking
　　Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang
　　Seventh International Conference on Learning Representations (ICLR), New Orleans, USA, May 6-9, 2019. [PDF]

7. Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms
　　Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Wang, Yizhou Yu
　　IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, Jun. 16-20, 2019. [PDF]

8. CRAVES: Controlling Robotic Arm With a Vision-Based Economic System
　　Yingming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan Yuille
　　IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, Jun. 16-20, 2019. [PDF]

9. Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
　　Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Maker, Yibiao Zhao, Yizhou Wang, Yingnian Wu
　　IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, Jun. 16-20, 2019. [PDF]

10. Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization
　　Daochang Liu, Tingting Jiang, Yizhou Wang
　　IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, Jun. 16-20, 2019. [PDF]

11. Learning with Unsure Data for Medical Image Diagnosis
　　Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang
　　International Conference in Computer Vision (ICCV), Seoul, South Korea, Oct. 27-Nov. 2, 2019. [PDF]

12. Optimizing Network Structure for 3D Human Pose Estimation
　　Hai Ci, Chunyu Wang, Xiaoxuan Ma, Yizhou Wang
　　International Conference in Computer Vision (ICCV), Seoul, South Korea, Oct. 27-Nov. 2, 2019. [PDF]

13. Align, Attend and Locate: Chest X-ray Diagnosis via Contrast Induced Attention Network with Limited Supervision
　　Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu
　　International Conference in Computer Vision (ICCV), Seoul, South Korea, Oct. 27-Nov. 2, 2019. [PDF]

14. Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
　　Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
　　The 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), ShenZhen, China, Oct. 13-17, 2019. [PDF]

15. From Unilateral to Bilateral Learning: Detecting Mammogram Mass with Contrasted Bilateral Network
　　Yuhang Liu, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu
　　The 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), ShenZhen, China, Oct. 13-17, 2019. [PDF]

16. MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
　　Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu
　　The 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), ShenZhen, China, Oct. 13-17, 2019. [PDF]

17. L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise
　　Yilun Xu*, Peng Cao*, Yuqing Kong, Yizhou Wang
　　The Thirty-third Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 8-14, 2019. [PDF]

2018
1. Building Invariances into Sparse Subspace Clustering
　　Bo Xin, Yizhou Wang, Wen Gao, David Wipf
　　IEEE Transactions on Signal Processing (IEEE-TSP), vol. 66(2), pp 449-462, 2018. [PDF]

2. MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
　　Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang
　　International Conference on Machine Learning (ICML), Stockholm, Sweden, Jul. 10-15, 2018. [PDF]

3. End-to-end Active Object Tracking via Reinforcement Learning
　　Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang
　　International Conference on Machine Learning (ICML), Stockholm, Sweden, Jul. 10-15, 2018. [PDF]

4. Video Object Segmentation by Learning Location-Sensitive Embeddings
　　Hai Ci, Chunyu Wang, Yizhou Wang
　　European Conference on Computer Vision (ECCV), Munich, Germany, Sept. 8-14, 2018. [PDF]

5. FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis
　　Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang
　　The 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, Sept. 16-20, 2018. [PDF]

6. RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment
　　Hongyu Ren, Diqi Chen, Yizhou Wang
　　The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, Feb. 2-7, 2018. [PDF]

7. Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial
　　Fangwei Zhong, Sheng Wang, Ziqi Zhang, Chen Zhou, Yizhou Wang
　　IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, USA, Mar. 12-15, 2018. [PDF]

8. Dyadic perceptual learning of orientation discrimination
　　Yifei Zhang, Fang Fang, Yizhou Wang
　　Journal of Vision, vol. 18(10):270, 2018. [PDF]

2017
1. Smartphone-based Real Time Vehicle Tracking in Indoor Parking Structures
　　Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Yizhou Wang, Guojie Luo
　　IEEE Transactions on Mobile Computing (IEEE-TMC), vol.16(7), pp 2023-2036, 2017. [PDF]

2. Collaborative Deep Reinforcement Learning for Joint Object Search
　　Xiangyu Kong, Bo Xin, Yizhou Wang, Gang Hua
　　IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, Jul. 21-26, 2017. [PDF]

3. Learning Discriminative Activated Simplices for Action Recognition
　　Chenxu Luo, Chang Ma, Chunyu Wang, Yizhou Wang
　　The Thirty-First AAAI Conference on Artificial Intelligence (AAAI), San Francisco, USA, Feb. 4-9, 2017. [PDF]

4. Data-Dependent Sparsity for Subspace Clustering
　　Bo Xin, Yizhou Wang, David Wipf
　　Conference on Uncertainty in Artificial Intelligence (UAI), Sydney, Australia, Aug. 11-15, 2017. [PDF]

5. GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction
　　Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang
　　The 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Canada, Sept. 10-14, 2017. [PDF]

6. Knitter: Fast, Resilient Single-User Indoor Floor Plan Construction
　　Ruipeng Gao, Bing Zhou, Fan Ye, Yizhou Wang
　　The 36th Annual IEEE International Conference on Computer Communications (INFOCOM), Atlanta, USA, May 1-4, 2017. [PDF]

7. UnrealCV: Virtual Worlds for Computer Vision
　　Weichao Qiu, Fangwei Zhong, Yi Zhang, Siyuan Qiao, Zihao Xiao, Tae Soo Kim, Yizhou Wang, Alan Yuille
　　ACM Multimedia (ACM-MM) Open Source Software Competition, Mountain View, USA, Oct. 23-27, 2017. [PDF][Demo][Website]

8. Effective Master-Slave Communication On A Multi-Agent Deep Reinforcement Learning System
　　Xiangyu Kong, Bo Xin, Fangchen Liu, Yizhou Wang
　　Neural Information Processing Systems Workshop on Hierarchical Reinforcement Learning (NIPSW), Long Beach, USA, Dec. 4-9, 2017. [PDF][Demo]

9. Zero-Shot Learning posed as a Missing Data Problem
　　Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang
　　The 4th IEEE International Conference on Computer Vision Workshop on TASK-CV (ICCVW), Venice, Italy, Oct. 22-29, 2017. [PDF]

2016
1. Efficient Generalized Fused Lasso and its Applications
　　Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Lingjing Hu, Wen Gao
　　ACM Transactions on Intelligent Systems and Technology (ACM-TIST), vol.7(4), pp 60:1-22, 2016. [PDF]

2. Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints
　　Bo Xin, Yizhou Wang, Wen Gao, David Wipf
　　IEEE Transactions on Signal Processing (IEEE-TSP), vol. 64(19), pp 4960-4974, 2016. [PDF]

3. Multi-story Indoor Floor Plan Reconstruction via Mobile Crowdsensing
　　Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Guojie Luo, Yizhou Wang, Kaigui Bian, Tao Wang, Xiaoming Li
　　IEEE Transactions on Mobile Computing (IEEE-TMC), vol.15(6), pp 1427-1442, 2016. [PDF]

4. Sextant: Towards Ubiquitous Indoor Localization Service by Photo-taking of the Environment
　　Ruipeng Gao, Yang Tian, Kaigui Bian, Fan Ye, Tao Wang, Yizhou Wang, Xiaoming Li
　　IEEE Transactions on Mobile Computing (IEEE-TMC), vol. 15(2), pp 460-474, 2016. [PDF]

5. Neural Activities in V1 Create the Bottom-up Saliency Map of Natural Scenes
　　Cheng Chen, Xilin Zhang, Yizhou Wang, Tiangang Zhou, Fang Fang
　　Experimental Brain Research (EBR), vol. 234, pp 1769–1780, 2016. [PDF]

6. Misbinding of Color and Motion in Human Early Visual Cortex: Evidence from Event-related Potentials
　　Yanyu Zhang, Xilin Zhang, Yizhou Wang, Fang Fang
　　Vision Research (VR), vol. 122, pp 51-59, 2016. [PDF]

7. Robust Subjective Visual Property Prediction From Crowdsourced Pairwise Labels
　　Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao
　　IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 38(3), pp 563-577, 2016. [PDF]

8. A Novel Method to Study Bottom-up Visual Saliency and Its Neural Mechanism
　　Cheng Chen, Xilin Zhang, Yizhou Wang, Fang Fang
　　arXiv, 2016. [PDF][Dataset]
　　* This bottom-up saliency map dataset is acquired NOT using eye-tracking.

9. Mining 3D Key-Pose-Motifs for Action Recognition
　　Chunyu Wang, Yizhou Wang, Alan Yuille
　　IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, Jun. 26 - Jul. 1, 2016. [PDF]

10. Recognizing Actions in 3D using Action-Snippets and Activated Simplices
　　Chunyu Wang, John Flynn, Yizhou Wang, Alan Yuille
　　The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), Phoenix, USA, Feb. 12-17, 2016. [PDF][Code]

11. Robust Complex Behaviour Modeling at 90Hz
　　Xiangyu Kong, Yizhou Wang, Tao Xiang
　　The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), Phoenix, USA, Feb. 12-17, 2016. [PDF]

12. Neighborhood-Preserving Hashing for Large-Scale Cross-Modal Search
　　Botong Wu, Yizhou Wang
　　ACM Multimedia (ACM-MM), Amsterdam, the Netherlands, Oct. 15-19, 2016. [PDF]

13. Maximal Sparsity with Deep Networks?
　　Bo Xin, David Wipf, Yizhou Wang
　　The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, Dec. 5-10, 2016. [PDF]

14. Face Detection with End-to-End Integration of a ConvNet and a 3D Model
　　Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang
　　The 16th European Conference on Computer Vision (ECCV), Amsterdam, the Netherlands, Oct. 11-14, 2016. [PDF]

2015
1. Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging
　　Shuo Wang, Yizhou Wang, Song-Chun Zhu
　　IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 37(12), pp 2478-2491, 2015. [PDF]

2. Position Shifts of fMRI-based Population Receptive Fields in Human Visual Cortex Induced by Ponzo Illusion
　　Dongjun He, Ce Mo, Yizhou Wang, Fang Fang
　　Experimental Brain Research (EBR), vol 233(12), pp 3535-3541, 2015. [PDF]

3. Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction
　　Mingmin Zhao, Chengxu Zhuang, Yizhou Wang, Tai Sing Lee
　　Workshop of the International Conference on Learning Representations (ICLR), San Diego, USA, May 7-9, 2015. [PDF]

4. Quantized Correlation Hashing for Fast Cross-modal Search
　　Botong Wu, Qiang Yang, Weishi Zheng, Yizhou Wang, Jingdong Wang
　　International Joint Conference on Artifical Intelligence (IJCAI), Buenos Aires, Argentina, Jul. 25-31, 2015. [PDF]

5. Exploiting Object Similarity in 3D Reconstruction
　　Chen Zhou, Fatma Guney, Yizhou Wang, Andreas Geiger
　　International Conference on Computer Vision (ICCV), Santiago, Chile, Dec. 13-16, 2015. [PDF][Demo]

6. Background Subtraction via Generalized Fused Lasso Foreground Modeling
　　Bo Xin, Yuan Tian, Yizhou Wang, Wen Gao
　　IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, USA, Jun. 7-12, 2015. [PDF][Code][Example Data][Demo]

7. Stable Feature Selection from Brain sMRI
　　Bo Xin, Lingjing Hu, Yizhou Wang, Wen Gao
　　The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, USA, Jan. 25-30, 2015. [PDF][Code]

8. VeTrack: Real Time Vehicle Tracking in Uninstrumented Indoor Environments
　　Mingmin Zhao, Tao Ye, Ruipeng Gao, Fan Ye, Yizhou Wang, Guojie Luo
　　The 13th ACM Conference on Embedded Networked Sensor Systems (SenSys), Seoul, South Korea, Nov. 1-4, 2015. [PDF]