王焜，男，1994年11月生，内蒙古包头人，工学博士。2025年9月毕业于东南大学网络空间安全学院，2025年12月加入南京审计大学计算机学院数据科学与大数据技术系，任讲师。
教学及研究方向
研究方向涵盖无监督学习、半监督学习、领域自适应等深度学习算法，开设课程有《计算机系统基础》《图像处理与视频分析》等。
发表论文
1. Kun Wang, Zechen Li, Lei Zhang, Qingqing Gao, Zhenyu Wang. Unsupervised Sensor-Based Human Activity Recognition via Contrastive Learning of Representation[J]. IEEE Internet of Things Journal, 2026, 13(20): 47603-47620.
2. Kun Wang, Jiuxin Cao, Jiawei Ge, Chang Liu, Bo Liu. Causality-inspired representation learning for weakly supervised skeleton-based action recognition[J]. Knowledge-Based Systems, 2025, 326: 114042.
3. Kun Wang, Jiuxin Cao, Jiawei Ge, Chang Liu, Bo Liu. SKL-CLIP: Learning Skeleton-Based Action Representations via Language Supervision[C]//2025 IEEE International Conference on Multimedia and Expo (ICME). 2025: 1-6.
4. Kun Wang, Jiuxin Cao, Jiawei Ge, Chang Liu, Bo Liu. Dual-Domain Triple Contrast for Cross-Dataset Skeleton-Based Action Recognition[J]. ACM Transactions on Multimedia Computing, Communications and Applications, 2025, 21(4): 115:1-115:23.
5. Kun Wang, Lei Chen, Biwei Cao, Bo Liu, Jiuxin Cao. Text-to-face synthesis based on facial landmarks prediction[J]. Machine Vision and Applications, 2025, 36(1): 6.
6. Kun Wang, Jiuxin Cao, Biwei Cao, Bo Liu. EnsCLR: Unsupervised skeleton-based action recognition via ensemble contrastive learning of representation[J]. Computer Vision and Image Understanding, 2024, 247: 104076.
7. Kun Wang, Jun He, Lei Zhang. Sequential Weakly Labeled Multiactivity Localization and Recognition on Wearable Sensors Using Recurrent Attention Networks[J]. IEEE Transactions on Human-Machine Systems, 2021, 51(4): 355-364.
8. Kun Wang, Jun He, Lei Zhang. Attention-Based Convolutional Neural Network for Weakly Labeled Human Activities’ Recognition With Wearable Sensors[J]. IEEE Sensors Journal, 2019, 19(17): 7598-7604.
联系方式
办公室：致明楼118
邮箱：kun_wang@nau.edu.cn