Wenhan Wu (wwu25@uncc.edu)
I am a fourth-year PhD candidate in the CS department of the University of North Carolina at Charlotte under the supervision of Professor Aidong Lu (UNCC) and co-advised by Professor Chen Chen (UCF). Before joining UNCC, I earned my Master's degree in Electrical & Computer Engineering from Stevens Institute of Technology in 2020. I received my Bachelor's Degree in Electronic Information Engineering from the University of Electronic Science and Technology of China (UESTC) in the School of Information and Communication Engineering in 2018.
Research Interests
Human-Centric Video Understanding
Action Recognition, Motion Analysis
Representation Learning, Frequency Analysis
Recent News
[6/2025] One paper was accepted by ICCV 2025
[12/2024] One paper was accepted by IEEE FG 2025
[12/2024] I successfully defended my PhD proposal in the CIS program
[7/2024] One paper was accepted by ACM MM 2024
[5/2023] One survey paper was accepted by ACM Computing Surveys
[4/2023] One paper was accepted by IJCAI 2023 (15% acceptance rate)
[4/2023] One workshop paper was accepted by ICME 2023
[12/2022] I passed the UNCC CIS PhD qualifying exam
[9/2021] I joined the UNCC CIS PhD program, advised by Aidong Lu and co-advised by Chen Chen
Publications ( * indicates equal contribution）
UniSTFormer: Unified Spatio-Temporal Lightweight Transformer for Efficient Skeleton-Based Action Recognition
Wenhan Wu, Zhishuai Guo, Chen Chen, Aidong Lu
Preprint 2025
Frequency-Semantic Enhanced Variational Autoencoder for Zero-Shot Skeleton-based Action Recognition
Wenhan Wu, Zhishuai Guo, Chen Chen, Hongfei Xue, Aidong Lu
IEEE/CVF International Conference on Computer Vision (ICCV), 2025
FreqMixFormerV2: Lightweight Frequency-aware Mixed Transformer for Human Skeleton Action Recognition
Wenhan Wu, Pengfei Wang, Chen Chen, Aidong Lu
IEEE International Conference on Automatic Face and Gesture Recognition (FG), 2025 (oral)
Frequency Guidance Matters: Skeletal Action Recognition by Frequency-Aware Mixed Transformer
Wenhan Wu, Ce Zheng, Zihao Yang, Chen Chen, Srijan Das, Aidong Lu
ACM Multimedia (ACM MM), 2024
Part Aware Contrastive Learning for Self-Supervised Action Recognition
Yilei Hua, Wenhan Wu, Ce Zheng, Aidong Lu, Mengyuan Liu, Chen Chen, Shiqian Wu.
The International Joint Conference on Artificial Intelligence (IJCAI), 2023 (Acceptance Rate = 15%)
SkeletonMAE: Spatial-Temporal Masked Autoencoders for Self-Supervised Skeleton Action Recognition
Wenhan Wu, Yilei Hua, Ce Zheng, Shiqian Wu, Chen Chen, Aidong Lu
Workshop on Human Motion Analysis (HMA) in International Conference on Multimedia and Expo (ICME), 2023
[Paper]
Deep Learning-Based Human Pose Estimation: A Survey
Ce Zheng *, Wenhan Wu *, Taojiannan Yang, Sijie Zhu, Chen Chen, Ruixu Liu, Ju Shen, Nasser Kehtarnavaz, Mubarak Shah
ACM Computing Surveys (IF=23.8), 2023
[Paper] [Project Website]
Experience
2024-2025: Teaching Assistant at UNC Charlotte CS department
ITCS-3156 - Intro to Machine Learning
2021-2024: Research Assistant at UNC Charlotte CS department
2020-2021: Teaching Assistant at UNC Charlotte ECE department
ECGR 3155 - Systems and Electronics Lab
ECGR-2181-001- Logic System Design I
ECGR 3090/4090 - Introduction to Machine Learning
Service
Journal Reviewer: ACM Computing Surveys, TCSVT, Pattern Recognition, Industrial Informatics, Multimedia Tools and Applications, Transactions on Cognitive and Developmental Systems, IEEE Internet of Things Journal, IEEE Signal Processing Letters
Conference Reviewer: WACV, ICME, NeurIPS, ACM MM