YU HEN HU

About

Yu Hen Hu received BSEE from National Taiwan University, Taiwan ROC in 1976, and MSEE and PhD degrees from University of Southern California, Los Angeles, CA, USA in 1982. He was a member of faculty in the Electrical Engineering Department of Southern Methodist University, Dallas, Texas from 1983 to 1987. Since 1987, he has been with the Department of Electrical and Computer Engineering, University of Wisconsin, Madison where he is currently a professor. In 1999, Dr. Hu is a visiting researcher at Bell Laboratories, Homedel NJ, and at Microsoft Research – China, Beijing, China. He has been a visiting professor at National Taiwan University, Graduate Institute of Electronics, Taipei, Taiwan in 2007 and 2015.
Dr. Hu's has broad research interests ranging from design and implementation of signal processing algorithms, computer aided design and physical design of VLSI, pattern classification and machine learning algorithms, and image and signal processing in general. He has published more than 360 technical papers, edited, and co-authored four books and many book chapters in these areas.
Dr. Hu has served as an associate editor for the IEEE Transaction of Acoustic, Speech, and Signal Processing, IEEE signal processing letters, European Journal of Applied Signal Processing, Journal of VLSI Signal Processing, and IEEE Multimedia magazine. He has served as the secretary and an executive committee member of the IEEE signal processing society, a board of governor of IEEE neural network council representing the signal processing society, the chair of signal processing society neural network signal processing technical committee, and the chair of IEEE signal processing society multimedia signal processing technical committee. He has also served as a member of IEEE Jack S. Kilby Signal Processing Medal committee, and a steering committee member of the international conference of Multimedia and Expo on behalf of IEEE Signal processing society.
Dr. Hu is a fellow of IEEE.
Official webpage: http://directory.engr.wisc.edu/ece/faculty/hu_yu
Extended professional webpage: http://homepages.cae.wisc.edu/~hu/

Employment

Employment history is unavailable.

Education

• University of Southern California PhD
  1978 - 1982

Projects & Funding

Projects & funding information is unavailable.

Publications (17)

• EasyVis: a real-time 3D visualization software system for laparoscopic surgery box trainer
  Updates in Surgery 2026 DOI: 10.1007/s13304-025-02153-w
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• EasyVis2: a real-time multi-view 3D visualization system for laparoscopic surgery training enhanced by a deep neural network YOLOv8-pose
  Updates in Surgery 2026 DOI: 10.1007/s13304-026-02687-7
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• GFInternImage: A Multiscale Feature Fusion Network for Ground Fissure Segmentation from High-Resolution UAV Imagery in Mining Areas
  2026 DOI: 10.2139/ssrn.6516268
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• Toward Ubiquitous Vision-Augmented Intelligent Communications: A Generalized Loosely Coupled Approach
  IEEE Transactions on Wireless Communications 2026 DOI: 10.1109/TWC.2025.3623077
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• A Single-Camera Method for Estimating Lift Asymmetry Angles Using Deep Learning Computer Vision Algorithms
  IEEE Transactions on Human-Machine Systems 2025 DOI: 10.1109/THMS.2025.3539187
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• A Wearable Gait Monitoring System for 17 Gait Parameters Based on Computer Vision
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3557814
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• OptiGait: Gait Monitoring Using an Ankle-Worn Stereo Camera System
  IEEE Sensors Journal 2024 DOI: 10.1109/JSEN.2024.3351566
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• AI-Based Automatic System for Assessing Upper-Limb Spasticity of Patients With Stroke Through Voluntary Movement
  IEEE Journal of Biomedical and Health Informatics 2024 DOI: 10.1109/JBHI.2022.3221639
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• Spatial Activation Suppression for Unsupervised Anomaly Detectors in Freight Train Fault Detection
  Ji Wei Qiu, Hongmei Shi, Yu Hen Hu +1 more
  IEEE Transactions on Instrumentation and Measurement 2024 DOI: 10.1109/TIM.2023.3341113
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• Enhancing Anomaly Detection Models for Industrial Applications through SVM-Based False Positive Classification
  Applied Sciences 2023 DOI: 10.3390/app132312655
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• Unraveling False Positives in Unsupervised Defect Detection Models: A Study on Anomaly-Free Training Datasets
  Sensors 2023 DOI: 10.3390/s23239360
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• Efficient online real-time video stabilization with a novel least squares formulation and parallel AC-RANSAC
  Journal of Visual Communication and Image Representation 2023 DOI: 10.1016/j.jvcir.2023.103922
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• Physical-Assisted Routing for Proactive Avoidance of Nomadic Obstacles in IoT
  ACM Transactions on Sensor Networks 2023 DOI: 10.1145/3565021
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• Video-Based Automatic Wrist Flexion and Extension Classification
  IEEE Transactions on Human-Machine Systems 2022 DOI: 10.1109/THMS.2022.3164776
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• Design of a Multi-Sensor System for Exploring the Relation between Finger Spasticity and Voluntary Movement in Patients with Stroke
  Sensors 2022 DOI: 10.3390/s22197212
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• Semi-Supervised anchor graph ensemble for large-scale hyperspectral image classification
  International Journal of Remote Sensing 2022 DOI: 10.1080/01431161.2022.2048916
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• HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification
  IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2022 DOI: 10.1109/JSTARS.2022.3192127
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