Yuwei WU
Associate Professor of computer science at BIT
Adjunct Professor of AI at SMBU
武玉伟
北京理工大学计算机学院教授，博士生导师
深圳北理莫斯科大学 兼职教授。
Processor Yuwei Wu received his PhD degree in computer science from Beijing Institute of Technology (BIT) in 2014. From August 2014 to August 2016, he was a post-doctoral research fellow at School of Electrical and Electronic Engineering (EEE), Nanyang Technological University (NTU), Singapore. He received outstanding Ph.D. Thesis award from BIT, and Distinguished Dissertation Award Nominee from China Association for Artificial Intelligence (CAAI).
武玉伟教授于2014年7月于北京理工大学获得计算机应用技术工学博士学位，2014年8月至2016年8月赴新加坡南洋理工大学电气电子工程学院从事博士后研究。他主要从事计算机视觉和机器学习等领域的研究；在中国计算机学会推荐A类期刊/会议发表论文50余篇，出版教材2部；获中国人工智能学会优秀博士学位论文提名奖。作为负责人承担国家自然科学基金、北京市自然科学基金等项目。指导学生1人获ACM 中国人工智能分会优秀博士学位论文奖，4人获北京理工大学校级优秀博士论文/优秀硕士论文。
Selected papers
1. Chuanhao Li, Zhen Li, Chenchen Jing, Shuo Liu, Wenqi Shao, Yuwei Wu, Ping Luo, Yu Qiao, and Kaipeng Zhang. UDKAG: Augmenting Large Vision-Language Models with Up-to-Date Knowledge. NeurIPS 2024
2. Chuanhao Li, Chenchen Jing, Zhen Li, Mingliang Zhai, Yuwei Wu, and Yunde Jia. In-context compositional generalization for large vision-language models. EMNLP 2024, pp. 17954-17966.
3. Jiaxi Zeng, Chengtang Yao,Yuwei Wu, and Yunde Jia. Temporally Consistent Stereo Matching. ECCV 2024, pp. 341-359
4. Chenrui Shi, Che Sun, Yunde Jia, and Yuwei Wu. Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks. ICCV 2023, pp. 10330-10340.
5. Jiaxi Zeng, Chengtang Yao, Lidong Yu, Yunde Jia, and Yuwei Wu. Parameterized Cost Volume for Stereo Matching. ICCV 2023, pp. 18347-18357.
6. Zhi Gao, Chen Xu, Feng Li, Yunde Jia, Mehrtash Harandi, and Yuwei Wu. Exploring Data Geometry for Continual Learning. CVPR 2023, pp. 24325-24334.
7. JING Chenchen, WU Yuwei, and JIA Yunde, Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing, In Proc. Association for the Advancement of Artificial Intelligence (AAAI), 2022.
8. JING Chenchen, JIA Yunde, and WU Yuwei, Maintaining Reasoning Consistency in Compositional Visual Question Answering, In Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2022.
9. GAO Zhi, WU Yuwei, JIA Yunde, and Mehrtash Harandi, Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds, In Proc. Conference on Neural Information Processing Systems (NeurIPS) 2022.
10. FAN Xiaomeng, GAO Zhi, WU Yuwei, JIA Yunde, and Mehrtash Harandi, Learning a Gradient-Free Riemannian Optimizer on Tangent Spaces, In Proc. Association for the Advancement of Artificial Intelligence (AAAI), 2021.
11. DAI Jindou, WU Yuwei, GAO Zhi, and JIA Yunde, Learning a Gradient-free Riemannian Optimizer on Tangent Spaces, In Proc. IEEE Int. Conf. on Computer Vision and Pattern Recognition (CVPR), 2021.
12. GAO Zhi, WU Yuwei, Mehrtash Harandi, and JIA Yunde, Curvature Generation in Hyperbolic Spaces for Few-Shot Learning，In Proc. International Conference on Computer Vision (ICCV), 2021.
