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.

Announcement: I am seeking potential research job opportunities and would be delighted to discuss how my expertise can contribute to your team.

Call Me Connie

Interestingly, during my oral presentation at ECCV 2024 the automatic translation system rendered Kanglei as Connie. Since the pronunciation is also quite similar, I decided to keep Connie as my English name.

Interests

Human motion analysis
VR/AR/MR
Continual learning

Education

PhD in CS, 2020-Now

Beihang University
Visiting Student, 2024

Durham University
BSc in CS, 2016-2020

Henan Normal University
Exchange Student, 2019

Frankfurt University of Applied Science

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.