Kanglei Zhou

PhD Candidate

Beihang University

About me

I am a final-year PhD candidate at the State Key Lab of VR Technology and Systems, SCSE, Beihang University. I am expected to graduate in June 2025. My research primarily focuses on utilizing structured human knowledge to enhance human motion analysis.

Degree	Institution	Year
PhD Candidate in CS	Beihang University Supervised by Prof. Xiaohui Liang	2020–Now
Visiting Student	Durham University Supervised by Prof. Hubert P. H. Shum and Dr. Frederick W. B. Li	2024
BSc in CS	Henan Normal University	2016–2020
Exchange Student	Frankfurt University of Applied Science	2019

I am actively seeking a postdoctoral position to further my research and produce innovative projects. I would be delighted to discuss potential opportunities and how my expertise can benefit your team.

Research

Human Motion Analysis

My Previous Work

This research tackles three key challenges in human motion analysis - motion perception anomalies, negative transfer due to limited samples, and catastrophic forgetting in non-stationary data distributions. By leveraging spatiotemporal graph models, domain adaptation, and continual learning, innovative methods were developed to address these issues, achieving significant advancements in aerospace training and medical rehabilitation applications.

Research Proposal

This proposal explores innovative solutions for Multi-Modal Action Quality Assessment, focusing on addressing challenges such as modality heterogeneity, missing data, and lack of interpretability in current methods.

Selected Publications

See the full publication list on my Scholar profile

Kanglei Zhou, Zikai Hao, Liyuan Wang, Xiaohui Liang (2025). Adaptive Score Alignment Learning for Continual Perceptual Quality Assessment of 360-Degree Videos in Virtual Reality. IEEE VR - TVCG.

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Kanglei Zhou, Liyuan Wang, Xingxing Zhang, Hubert P. H. Shum, Frederick W. B. Li, Jianguo Li, Xiaohui Liang (2024). MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment. ECCV 2024 Oral.

PDF Cite Code Poster Slides Video

Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang, Xinxing Zhang, Xiaohui Liang (2024). CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment. IJCAI 2024.

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