Publications

  • Wang, Yabin, Zhiwu Huang, and Xiaopeng Hong. ``OpenSDI: Spotting Diffusion-Generated Images in the Open World." IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
  • Dai, Yong, Xiaopeng Hong, Yabin Wang, Zhiheng Ma, Dongmei Jiang, and Yaowei Wang. ``Prompt Customization for Continual Learning." IEEE Transactions on Artificial Intelligence, 2025.
  • Wang, Yujun, Xiaopeng Hong, Yabin Wang, Junzhou Zhao, Guanghui Sun, and Baoxing Qin. ``Token-based deep reinforcement learning for Heterogeneous VRP with Service Time Constraints." Knowledge-Based Systems, 2024.
  • Chenhao Wang, Xiaopeng Hong, Zhiheng Ma, Yupeng Wei, Yabin Wang, and Xiaopeng Fan. ``Multi-modal Crowd Counting via Modal Emulation." British Machine Vision Conference (BMVC), 2024.
  • Lai, Zhengqin, Xiaopeng Hong, and Yabin Wang. ``Multimodal Blockwise Transformer for Robust Sentiment Recognition." In Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing, 2024.
  • Wang, Yabin, Zhiheng Ma, Zhiwu Huang, Yaowei Wang, Zhou Su, and Xiaopeng Hong. ``Isolation and impartial aggregation: A paradigm of incremental learning without interference." Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2023.
  • Lixuan Zhang, Jianzhuang Zhao, Edoardo Lamon, Yabin Wang, and Xiaopeng Hong. ``Energy Efficient Multi-Robot Task Allocation Constrained by Time Window and Precedence." IEEE Transactions on Automation Science and Engineering, 2023.
  • Li, Chuqiao, Zhiwu Huang, Danda Pani Paudel, Yabin Wang, Mohamad Shahbazi, Xiaopeng Hong, and Luc Van Gool. ``A continual deepfake detection benchmark: Dataset, methods, and essentials." In Proceedings of the IEEE/CVF winter conference on applications of computer vision (WACV), 2023.
  • Wang, Yabin, Zhiwu Huang, and Xiaopeng Hong. ``S-prompts learning with pre-trained transformers: An occam's razor for domain incremental learning." Advances in Neural Information Processing Systems 35 (NeurIPS), 2022.
  • Wang, Yabin, Zhiheng Ma, Xing Wei, Shuai Zheng, Yaowei Wang, and Xiaopeng Hong. ``Eccnas: Efficient crowd counting neural architecture search." ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2022.
  • Zheng, Shuai, Yabin Wang, Baotong Li, and Xin Li. ``A hardware-adaptive deep feature matching pipeline for real-time 3D reconstruction." Computer-Aided Design, 2021.