Bruce X.B. Yu

Bruce X.B. Yu

Assistant Professor

ZJU-UIUC Institute

Biography

Dr. Bruce X.B. Yu joined ZJU-UIUC Institute as an Assistant Professor in January 2024. Before joining the institute, he served as a Post-doc Fellow with the Department of Computing at the Hong Kong Polytechnic University where he earned his Ph.D. in September 2020. His research expertise spans across big data analytics, artificial intelligence, and image/video processing. His primary research topic is vision-based human behavior understanding, leading to publications on top venues such as TPAMI, Pattern Recognition, ICCV, AAAI, and IJCAI. His research outcomes also get international recognition such as best paper and best presentation awards. He has been actively conducting interdisciplinary research through various application-oriented projects, leading to publications on top venues such as IEEE Transactions on Automation Science and Engineering, and Tourism Management. Besides application-driven research, he also works on fundamental research problems such as 3D human pose reconstruction, multimodal data/sensor fusion, and efficient transfer learning.

Interests
  • Human Behavior Understanding
  • 3D Human Pose Detection
  • AI4Science
  • Fine-tuning
Education

  • Ph.D. in Artificial Intelligence, 2020

    The Hong Kong Polytechnic University

  • M.Sc. in Information Technology, 2015

    The Hong Kong Polytechnic University

Featured Publications

EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment
Recently, some skeleton-based physical therapy systems have been attempted to automatically evaluate the correctness or quality of an …
Bruce X.B. Yu, Yan Liu, Xiang Zhang, Gong Chan, Keith C.C. Chan
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EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment
MMNet: A Model-based Multimodal Network for Human Action Recognition in RGB-D Videos
Our MMNet outperforms state-of-the-art approaches on six evaluation protocols of the five benchmark datasets: NTU RGB+D 60, NTU RGB+D 120, PKU-MMD, Northwestern-UCLA Multiview, and Toyota Smarthome.
Bruce X.B. Yu, Yan Liu, Xiang Zhang, Sheng-hua Zhong, Keith C.C. Chan
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MMNet: A Model-based Multimodal Network for Human Action Recognition in RGB-D Videos

Recent Publications

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Bruce X.B. Yu, Yan Liu, Xiang Zhang, Gong Chan, Keith C.C. Chan (2022). EGCN: An Ensemble-based Learning Framework for Exploring Effective Skeleton-based Rehabilitation Exercise Assessment. In IJCAI.

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Zhang Xiang, Bruce X.B. Yu, Liu Yan, Ng George Wing-Yiu, Chia Nam-Hung, So Eric Hang-Kwong, So Sze-Sze, Cheung Victor Kai-Lam (2022). Intent-Aware Long Short-Term Memory for Intelligent Training of Clinical Handover. In ICCIA.

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Bruce X.B. Yu, Yan Liu, Xiang Zhang, Sheng-hua Zhong, Keith C.C. Chan (2022). MMNet: A Model-based Multimodal Network for Human Action Recognition in RGB-D Videos. In TPAMI.

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Xiang Zhang, Bruce X.B. Yu, Yan Liu, George Wing-Yiu Ng, Nam-Hung Chia, Eric Hang-Kwong So, Sze-Sze So, Victor Kai-Lam Cheung (2022). Heallo: Conversational System for Communication Training in Healthcare Professional Education. In ICIET.

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Bruce X.B. Yu, Yan Liu, Keith C. C. Chan, Qintai Yang, Xiaoying Wang (2021). Skeleton-based Human Action Evaluation Using Graph Convolutional Network for Monitoring Alzheimer's Progression. In Pattern Recognition.

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Bruce X.B. Yu, Yan Liu, Keith C.C. Chan (2021). Multimodal Fusion via Teacher-Student Network for Indoor Action Recognition. In AAAI.

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Bruce X.B. Yu, Yan Liu, Keith C.C. Chan (2020). Skeleton-Based Detection of Abnormalities in Human Actions Using Graph Convolutional Networks. In TransAI.

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Bruce X.B. Yu, Yan Liu, Keith C.C. Chan (2020). Vision Based Daily Routine Recognition for Healthcare with Transfer Learning. In ICDHC.

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Bruce X.B. Yu, Yan Liu, Keith C.C. Chan (2020). A Survey of Sensor Modalities for Human Activity Recognition. In KDIR.

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Bo Lu, Bruce X.B. Yu, JW Lai, KC Huang, Keith CC Chan, Henry K Chu (2019). A Learning Approach for Suture Thread Detection with Feature Enhancement and Segmentation for 3-D Shape Reconstruction. In TASE.

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Bruce X.B. Yu, Keith C.C. Chan (2017). Discovering Knowledge by Behavioral Analytics for Elderly Care. In ICBK.

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