Name: Wu Yuwei
Discipline: Computer Science and Technology
Title: Permanent Associate Professor (Special Researcher)
Tel: 010-68914849
E-mail: wuyuwei@bit.edu.cn
Address: School of Computer Science, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing Personal Information
Wu Yuwei, Associate Professor and doctoral supervisor. From July 2014 to August 2016, he went to Singapore for postdoctoral research in the School of Electrical and Electronic Engineering, Nanyang Technological University. In October 2016, he joined the School of Computer Science, Beijing Institute of Technology. Wu Yuwei's research interests include computer vision and machine learning. Published more than 40 papers and 1 textbook in class A journals/conferences recommended by Chinese Computer Society (CCF) or JCR 1 area journals of Chinese Academy of Sciences; He was nominated by the Chinese Society of Artificial Intelligence for outstanding doctoral dissertation. As the person in charge of the National Natural Science Foundation, Beijing Natural Science Foundation and other projects. Among the students trained or co-trained, 4 graduate students have obtained excellent doctoral dissertations or excellent master dissertations from Beijing Institute of Technology.
Every year, we plan to recruit 1 doctoral student and 2-3 master students. Students who are interested in computer vision, machine learning and other fields are welcome to join the research group. Detailed information please visit https://sites.google.com/site/wuyuweibit/ < br >

Research Direction
Computer Vision, Machine Learning, Multimedia Analysis

Personal Information
Wu Yuwei, Associate Professor and doctoral supervisor. From July 2014 to August 2016, he went to Singapore for postdoctoral research in the School of Electrical and Electronic Engineering, Nanyang Technological University. In October 2016, he joined the School of Computer Science, Beijing Institute of Technology. Wu Yuwei's research interests include computer vision and machine learning. Published more than 40 papers and 1 textbook in class A journals/conferences recommended by Chinese Computer Society (CCF) or JCR 1 area journals of Chinese Academy of Sciences; He was nominated by the Chinese Society of Artificial Intelligence for outstanding doctoral dissertation. As the person in charge of the National Natural Science Foundation, Beijing Natural Science Foundation and other projects. Among the students trained or co-trained, 4 graduate students have obtained excellent doctoral dissertations or excellent master dissertations from Beijing Institute of Technology.
Every year, we plan to recruit 1 doctoral student and 2-3 master students. Students who are interested in computer vision, machine learning and other fields are welcome to join the research group. Detailed information please visit https://sites.google.com/site/wuyuweibit/ < br >

Personal Information
Wu Yuwei, Associate Professor and doctoral supervisor. From July 2014 to August 2016, he went to Singapore for postdoctoral research in the School of Electrical and Electronic Engineering, Nanyang Technological University. In October 2016, he joined the School of Computer Science, Beijing Institute of Technology. Wu Yuwei's research interests include computer vision and machine learning. Published more than 40 papers and 1 textbook in class A journals/conferences recommended by Chinese Computer Society (CCF) or JCR 1 area journals of Chinese Academy of Sciences; He was nominated by the Chinese Society of Artificial Intelligence for outstanding doctoral dissertation. As the person in charge of the National Natural Science Foundation, Beijing Natural Science Foundation and other projects. Among the students trained or co-trained, 4 graduate students have obtained excellent doctoral dissertations or excellent master dissertations from Beijing Institute of Technology.
Every year, we plan to recruit 1 doctoral student and 2-3 master students. Students who are interested in computer vision, machine learning and other fields are welcome to join the research group. Detailed information please visit https://sites.google.com/site/wuyuweibit/ < br >

代表性学术成果
2021-2022年部分一作或通讯作者学术成果
1. Zhi Gao, Yuwei Wu, Xiaomeng Fan, Mehrtash Harandi, and Yunde Jia, "Learning to Optimize on Riemannian Manifolds", in IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), DOI:10.1109/TPAMI.2022.3215702, 2022. （CCF推荐A类期刊）
2. Zhi Gao, Yuwei Wu, Mehrtash Harandi, and Yunde Jia, "Curvature-Adaptive Meta-Learning for Fast Adaptation to Non-Euclidean Data", in IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), DOI : 10.1109/TPAMI.2022.3164894, 2022. （CCF 推荐A类期刊）
3. Zhi Gao, Yuwei Wu, Yunde Jia, and Mehrtash Harandi, "Hyperbolic Feature Augmentation via Distribution Estimation and Infinite Sampling on Manifolds", in the Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS), New Orleans, 2022. （CCF 推荐A类会议）
4. Che Sun, Yunde Jia, and Yuwei Wu, "Evidential Reasoning for Video Anomaly Detection", in Proc. ACM Conf. on Multimedia (ACM MM), Lisbon, 2022:2106-2114. （CCF 推荐A类会议）
5. Che Sun, Yunde Jia, Yi Guo, and Yuwei Wu, "Global-Aware Registration of Less-Overlap RGB-D Scans", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, New Orleans,2022:6357-6366. （CCF 推荐A类会议）
6. Chenchen Jing, Yunde Jia, Yuwei Wu, Xinyu Liu, and Qi Wu, "Maintaining Reasoning Consistency in Compositional Visual Question Answering", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, New Orleans, 2022:5089-5098. （CCF 推荐A类会议）
7. Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, and Mehrtash Harandi, "Efficient Riemannian Meta-Optimization by Implicit Differentiation ", in Proc. AAAI Conference on Artificial Intelligence (AAAI), 2022:3733-3740. （CCF 推荐A类会议）
8. Chenchen Jing, Yunde Jia, Yuwei Wu, Chuanhao Li, and Qi Wu, "Learning the Dynamics of Visual Relational Reasoning via Reinforced Path Routing", in Proc. AAAI Conference on Artificial Intelligence (AAAI), 2022:1122-1130. （CCF 推荐A类会议）
9. Zhi Gao, Yuwei Wu, Yunde Jia, and Mehrtash Harandi, "Curvature Generation in Hyperbolic Spaces for Few-Shot Learning", in Proc. IEEE Conference on Computer Vision (ICCV), 2021:8691-8700. （CCF 推荐A类会议）
10. Jindou Dai, Yuwei Wu, Zhi Gao, and Yunde Jia, " A Hyperbolic-to-Hyperbolic Graph Convolutional Network", in Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Virtual Conference, 2021:154-163. （CCF 推荐A类会议）
11. Xiaomeng Fan*, Zhi Gao*, Yuwei Wu, Yunde Jia, and Mehrtash Harandi, "Learning a Gradient-free Riemannian Optimizer on Tangent Spaces". in Proc. AAAI Conference on Artificial Intelligence (AAAI), 2021:7377-7384. * denotes equal contribution. （CCF 推荐A类会议）
所获奖励