Faculty Directory
Ying Wu

Professor of Electrical and Computer Engineering and (by courtesy) Computer Science

Contact

2145 Sheridan Road
Tech Room L452
Evanston, IL 60208-3109

847-491-2901Email Ying Wu

Website

Ying Wu's Homepage


Departments

Electrical and Computer Engineering

Affiliations

Master of Science in Robotics Program


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Education

Ph.D. Electrical and Computer Engineering, University of Illinois at Urbana, Champaign, IL

M.S. Electrical Engineering, Tsinghua University, Beijing, China

B.E. Electrical Engineering, Huazhong University of Science and Technology, Wuhan, Hubei, China


Research Interests

Computer vision; Autonomous robots and intelligent machines; Statistical learning and pattern recognition; Multi-modal perception and intelligent interaction; Multimedia data mining, analytics and management; Biomedical image processing and medical applications


Selected Publications

  • Fan, Lei; Liang, Mingfu; Li, Yunxuan; Hua, Gang; Wu, Ying, Evidential Active Recognition, IEEE Computer Society (2024).
  • Fan, Lei; Zhou, Jianxiong; Xing, Xiaoying; Wu, Ying, Active Open-Vocabulary Recognition, IEEE Computer Society (2024).
  • Zhou, Jianxiong; Wu, Ying, Micro-expression spotting with a novel wavelet convolution magnification network in long videos, Pattern Recognition Letters (2024).
  • Fan, Lei; Wu, Ying, Avoiding Lingering in Learning Active Recognition by Adversarial Disturbance, Institute of Electrical and Electronics Engineers Inc. (2023).
  • Zhou, Jianxiong; Wu, Ying, Temporal Feature Enhancement Dilated Convolution Network for Weakly-supervised Temporal Action Localization, Institute of Electrical and Electronics Engineers Inc. (2023).
  • Zhou, Jiahuan; Su, Bing; Wu, Ying, Discriminative Self-Paced Group-Metric Adaptation for Online Visual Identification, IEEE Transactions on Pattern Analysis and Machine Intelligence (2023).
  • Liu, Yanxi; Rehg, James M.; Taylor, Camillo J.; Wu, Ying, Introduction to the Special Section of CVPR 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).
  • Su, Bing; Zhou, Jiahuan; Wen, Ji Rong; Wu, Ying, Linear and Deep Order-Preserving Wasserstein Discriminant Analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence (2022).