👋 About Me

Hi! I’m Yang Chen, currently a Ph.D. student of COMP at The Hong Kong Polytechnic University (PolyU, 香港理工大学) in Hong Kong SAR, where I’m fortunate to be supervised by Prof. Jingcai Guo. Prior to this, I received my M.Eng. degree (2024) in Information and Communication Engineering from the University of Electronic Science and Technology of China (UESTC, 电子科技大学) in Chengdu, China, where I was lucky to have been advised by Prof. Ling Wang. I also earned my B.Sc. degree (2021) in Electronic Information Science and Technology and my B.B.A. degree (2021) in Business Administration from UESTC.

🔬 Research Interests: My research focuses on data-efficient human-centric behavior analysis and modeling, including but not limited to wireless pose sensing, human action understanding, motion representation learning, and their applications in healthcare. To date, I have been the core contributor to several projects closely aligned with my research interests:
- wireless pose sensing: arXiv25
- human action understanding: CVPR25, MM24, TCSVT24, JVCIR23
- motion representation learning: KBS25, TMM24
- applications in healthcare: TNSRE24, EMBC23, BIBM23, EAAI23

Please feel free to contact me by email (cs-yang.chen@connect.polyu.hk) if you are interested in discussing with me. Thanks a lot!

🔥 News

📖 Educations

2024.09 - Now, The Hong Kong Polytechnic University (PolyU), Hong Kong
Ph.D. in Computing @ Lumen Lab
Supervisor: Prof. Jingcai Guo

2021.09 - 2024.06, University of Electronic Science and Technology of China (UESTC), China
M.Eng. in Information and Communication Engineering @ UESTC-Robot Lab
Supervisor: Prof. Ling Wang

2018.09 - 2021.06, University of Electronic Science and Technology of China (UESTC), China
B.B.A. in Business Administration

2017.09 - 2021.06, University of Electronic Science and Technology of China (UESTC), China
B.Sc. in Electronic Information Science and Technology

📝 Publications

📋 A. Preprints

arXiv 2025

Towards Robust and Realistic Human Pose Estimation via WiFi Signals,
Y. Chen, J. Guo*, S. Guo, J. Zhou, D. Tao,
arXiv, 2025.

Paper Code

🎤 B. Conferences

CVPR 2025

Neuron: Learning Context-Aware Evolving Representations for Zero-Shot Skeleton Action Recognition,
Y. Chen, J. Guo*, S. Guo, D. Tao,
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR, CCF-A), 2025.

Paper Code

IJCAI 2025

Exploring Transferable Homogeneous Groups for Compositional Zero-Shot Learning,
Z. Rao, J. Guo*, M. Li, Y. Chen, M. Wang,
International Joint Conference on Artificial Intelligence (IJCAI, CCF-A), 2025.

Paper

ACM MM 2024

Fine-Grained Side Information Guided Dual-Prompts for Zero-Shot Skeleton Action Recognition,
Y. Chen, J. Guo*, T. He, X. Lu, L. Wang,
ACM International Conference on Multimedia (ACM MM, CCF-A), 2024.

Paper Code

BIBM 2023

PLFormer: Prompt Learning for Early Warning of Unplanned Extubation in ICU,
Y. Chen, T. He, X. Gao, H. Cheng, L. Wang*,
IEEE International Conference on Bioinformatics and Biomedicine (BIBM, CCF-B), 2023.

Paper

EMBC 2023

STformer: Spatial-Temporal Transformer for Early Warning of Unplanned Extubation in ICU,
Y. Chen, S. Yang, Y. Wang, G. Wang, H. Cheng, L. Wang*,
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2023.

Paper

📘 C. Journals

KBS 2025

Multi-Level Skeleton Self-Supervised Learning: Enhancing 3D action representation learning with Large Multimodal Models,
T. He, Y. Chen, X. Gao, L. Wang, R. Huang, H. Cheng*
Knowledge-Based Systems (KBS, CCF-C, JCR-Q1, IF=7.6), 2025.

Paper

TMM 2024

Vision-Language Meets the Skeleton: Progressively Distillation with Cross-Modal Knowledge for 3D Action Representation Learning,
Y. Chen, T. He, J. Fu, L. Wang*, J. Guo, T. Hu, H. Cheng
IEEE Transactions on Multimedia (TMM, CCF-B, JCR-Q1, IF=9.7), 2024.

Paper Code

TCSVT 2024

Enhancing Skeleton-Based Action Recognition with Language Descriptions from Pre-trained Large Multimodal Models,
T. He, Y. Chen, X. Gao, L. Wang, T. Hu, H. Cheng*
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT, CCF-B, JCR-Q1, IF=11.1), 2024.

Paper

TNSRE 2024

An Expert-Knowledge-based Graph Convolutional Network for Skeleton-based Physical Rehabilitation Exercises Assessment,
T. He, Y. Chen, L. Wang, H. Cheng*,
IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE, JCR-Q1, IF=5.2), 2024.

Paper

EAAI 2023

Spatio-Temporal Features for Fast Early Warning of Unplanned Self-Extubation in ICU,
Y. Chen, L. Wang*, G. Wang, S. Yang, Y. Wang, M. Xiang, X. Zhang, H. Chen, D. Hu, H. Cheng,
Engineering Applications of Artificial Intelligence (EAAI, CCF-C, JCR-Q1, IF=8.0), 2023.

Paper

JVCIR 2023

Multi-view Graph Convolution Network for the Recognition of Human Action with Spatial and Temporal Occlusion Problems,
Y. Chen, L. Wang*, D. Hu, H. Cheng,
Journal of Visual Communication and Image Representation (JVCIR, CCF-C, JCR-Q2, IF=3.1), 2023.

Paper Code

💡 D. Patents

• A Method for Optimizing Dietary Energy Intake in Cancer Patients,
  T. Zhang, Y. Liu, Y. Chen, L. Wang, G. Wang, J. Qiu, Y. Ren, H. Zhou, Y. Gao, X. Zhang, M. Tang, K. Li, X. Meng, M. Liu, L. Wang,
  Public Number: CN 116665843 B, Application Date: 2023-07-28, Public Date: 2023-10-13

• A Approach for Early Warning of Self-extubation Behavior of ICU Patients Based on RGB Video Monitoring ,
  Y. Chen, L. Wang, Y. Wang, S. Yang, G. Wang,
  Public Number: CN 115565245 A, Application Date: 2022-10-10, Public Date: 2023-01-03

🎖 Honors and Awards

• Academic Scholarship of UESTC, 2018.10 - 2024.10
• IEEEXtreme 16.0 Programming Winner (Top 13%), 2022.10
• The Third Prize in the Huawei Software Elite Challenge, 2022.04
• Meritorious Winner in COMAP’S Mathematical Contest in Modeling (Top 6%), 2020.05

💻 Academic Services

• 📚 Journal Reviewer: TIP, TCSVT, JBHI, NN, INFFUS, BSPC, OJ-CS
• 👥 Conference Reviewer: NeurIPS, ICLR, ICML, ACM-MM, AAAI, IJCAI, MICCAI