World's Best Scientists 2026 revealed!
Yizhou Wang

Yizhou Wang

D-Index & Metrics

Computer Science

D-Index
51
Citations
9061
World Ranking
5398
National Ranking
721

Overview

Yizhou Wang is affiliated with Peking University in China and has an extensive publication record primarily in the domains of computer science and engineering. Their research spans a variety of specialized subfields including computer vision and pattern recognition, artificial intelligence, radiology, nuclear medicine and imaging, cognitive neuroscience, and biomedical engineering.

The scientist's work covers diverse topics with a notable focus on human pose and action recognition, video surveillance and tracking methods, advanced neural network applications, domain adaptation and few-shot learning, applications of AI in cancer detection, advanced vision and imaging, and multimodal machine learning applications.

Among recent publications, notable papers include the following:

  • Exploring Task Structure for Brain Tumor Segmentation From Multi-Modality MR Images, 2020, IEEE Transactions on Image Processing
  • Retinal Vessel Segmentation Using Deep Learning: A Review, 2021, IEEE Access
  • Human Motion Generation: A Survey, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • AI Alignment: A Comprehensive Survey, 2023, arXiv (Cornell University)
  • Locally Connected Network for Monocular 3D Human Pose Estimation, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Frequent coauthors working alongside Yizhou Wang include Fangwei Zhong, Xinwei Sun, Yizhou Yu, Chunyu Wang, and Wentao Zhu.

Major publication venues where Yizhou Wang's research appears most frequently are:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Image Processing
  • SSRN Electronic Journal

Yizhou Wang's body of work integrates aspects of biomedical imagery with computer vision techniques, addressing problems such as tumor segmentation and retinal vessel analysis, as well as advancing technologies in human motion and pose estimation. The research outputs reflect a multidisciplinary approach combining engineering methods with cognitive neuroscience and biomedical applications.

Best Publications

  • An Approach to Pose-Based Action Recognition

    Chunyu Wang;Yizhou Wang;Alan L. Yuille

  • Multi-Agent Tensor Fusion for Contextual Trajectory Prediction

    Tianyang Zhao;Yifei Xu;Mathew Monfort;Wongun Choi

  • Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction

    Wei Wang;Yan Huang;Yizhou Wang;Liang Wang

  • What are Textons

    Song-Chun Zhu;Cheng-En Guo;Yizhou Wang;Zijian Xu

  • Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial

    Fangwei Zhong;Sheng Wang;Ziqi Zhang;China Chen

  • Jigsaw: indoor floor plan reconstruction via mobile crowdsensing

    Ruipeng Gao;Mingmin Zhao;Tao Ye;Fan Ye

  • Optimizing Network Structure for 3D Human Pose Estimation

    Hai Ci;Chunyu Wang;Xiaoxuan Ma;Yizhou Wang

  • Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization

    Daochang Liu;Tingting Jiang;Yizhou Wang

  • Robust Estimation of 3D Human Poses from a Single Image

    Chunyu Wang;Yizhou Wang;Zhouchen Lin;Alan L. Yuille

  • Measuring visual saliency by Site Entropy Rate

    Wei Wang;Yizhou Wang;Qingming Huang;Wen Gao

  • UnrealCV: Virtual Worlds for Computer Vision

    Weichao Qiu;Fangwei Zhong;Yi Zhang;Siyuan Qiao

  • Exploring Task Structure for Brain Tumor Segmentation From Multi-Modality MR Images

    Dingwen Zhang;Guohai Huang;Qiang Zhang;Jungong Han

  • Quantized correlation hashing for fast cross-modal search

    Botong Wu;Qiang Yang;Wei-Shi Zheng;Yizhou Wang

  • Face Detection with End-to-End Integration of a ConvNet and a 3D Model

    Yunzhu Li;Benyuan Sun;Tianfu Wu;Yizhou Wang

  • AI Challenger : A Large-scale Dataset for Going Deeper in Image Understanding

    Jiahong Wu;He Zheng;Bo Zhao;Yixin Li

  • Joint learning for pulmonary nodule segmentation, attributes and malignancy prediction

    Botong Wu;Zhen Zhou;Jianwei Wang;Yizhou Wang

  • Simulating human saccadic scanpaths on natural images

    Wei Wang;Cheng Chen;Yizhou Wang;Tingting Jiang

  • End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning

    Wenhan Luo;Peng Sun;Fangwei Zhong;Wei Liu

  • L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise

    Yilun Xu;Peng Cao;Yuqing Kong;Yizhou Wang

  • Maximal Sparsity with Deep Networks

    Bo Xin;Yizhou Wang;Wen Gao;David P. Wipf

  • What Are Textons

    Song Chun Zhu;Cheng-en Guo;Ying Nian Wu;Yizhou Wang

Frequent Co-Authors

Wen Gao
Wen Gao Peking University
Yizhou Yu
Yizhou Yu University of Hong Kong
Song-Chun Zhu
Song-Chun Zhu Peking University
Fan Ye
Fan Ye Stony Brook University
Alan L. Yuille
Alan L. Yuille Johns Hopkins University
Yanwei Fu
Yanwei Fu Fudan University
Kaigui Bian
Kaigui Bian Peking University
David Wipf
David Wipf Amazon (United States)
Wei Liu
Wei Liu Tencent (China)
Ying Nian Wu
Ying Nian Wu University of California, Los Angeles

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