About Me

👋 Hi! I am Kun Wang (王焜), a faculty member in the School of Computer Science, Nanjing Audit University, China.

🔬 Research Interests

My research interests include:

2025 – Present: Lecturer, School of Computer Science, Nanjing Audit University

2021 – 2025: Ph.D., School of Cyber Science and Engineering, Southeast University
- Advisor: Jiuxin Cao
2018 – 2021: M.S., School of Electrical and Automation Engineering, Nanjing Normal University
- Advisor: Lei Zhang
2013 – 2017: B.S., School of Automation, Southeast University

Dual-Domain Triple Contrast for Cross-Dataset Skeleton-based Action Recognition, K Wang, J Cao, J Ge, C Liu, B Liu, ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2025.
Text-to-face synthesis based on facial landmarks prediction, K Wang, L Chen, B Cao, B Liu, J Cao, Machine Vision and Applications, 2025.
EnsCLR: Unsupervised skeleton-based action recognition via ensemble contrastive learning of representation, K Wang, J Cao, B Cao, B Liu, Computer Vision and Image Understanding, 2024.
Sequential weakly labeled multiactivity localization and recognition on wearable sensors using recurrent attention networks, K Wang, J He, L Zhang, IEEE Transactions on Human-Machine Systems (THMS), 2021.
Attention-based convolutional neural network for weakly labeled human activities’ recognition with wearable sensors, K Wang, J He, L Zhang, IEEE Sensors Journal, 2019.

Consistencies are all you need for semi-supervised vision-language tracking, J Ge, J Cao, X Zhu, X Zhang, C Liu, K Wang, B Liu, Proceedings of the 32nd ACM International Conference on Multimedia, 2024.
Causal-story: Local causal attention utilizing parameter-efficient tuning for visual story synthesis, T Song, J Cao, K Wang, B Liu, X Zhang, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
The layer-wise training convolutional neural networks using local loss for sensor-based human activity recognition, Q Teng, K Wang, L Zhang, J He, IEEE Sensors Journal, 2020.