I received the Ph.D. degree from Beihang University in 2025 under the supervision of Di Huang and Yunhong Wang, and also one of members of IRIP Laboratory, School of Computer Science and Engineering, Beihang University. I received bachelor degree in Beihang University and master degree in City University of Hong Kong, respectively. Currently, I am focusing on computer vision, pattern recognition and visual anomaly detection.
🔥 News
- 2025.02.27: 🎉🎉 One paper, titled “Towards Training-Free Anomaly Detection with Vision and Language Foundation Models” is accepted to CVPR 2025.
- 2024.12.10: 🎉🎉 One paper, titled “Multi-Grained Contrastive Learning for Text-supervised Open-vocabulary Semantic Segmentation” is accepted to ACM TOMM.
- 2024.12.10: 🎉🎉 One paper, titled “Unveiling the Knowledge of CLIP for Training-Free Open-Vocabulary Semantic Segmentation” is accepted to AAAI 2025.
- 2024.01.16: 🎉🎉 One paper is accepted to ICLR 2024 (Spotlight, 5%).
- 2023.07.14: 🎉🎉 One paper is accepted to ICCV 2023.
📝 Publications
Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification (Spotlight, 5%)
Guodong Wang, Yunhong Wang, Xiuguo Bao, Di Huang
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection
Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles
Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang
📖 Educations
- 2020.09 - now, School of Computer Science and Engineering, Beihang University
- 2018.09 - 2019.07, Department of Computer Science, City University of Hong Kong
- 2014.09 - 2018.06, School of Software, Beihang University