Biography
Ping Hu is a faculty member with the School of Computer Science and Engineering, UESTC. He obtained his Ph.D. degree in the Image and Video Computing (IVC) Group at Boston University in 2023, advised by Prof. Kate Saenko and Prof. Stan Sclaroff . Before that, he was a research assistant at Nanyang Technological University, advised by Dr. Gang Wang and Prof. Yap-Peng Tan. He obtained his M.E degree from the University of Chinese Academy of Science under the supervision of Prof. Weiqiang Wang.
Ping's primary research areas are centered on the efficiency and robustness of Machine Learning and Computer Vision models. In particular, he focus on problems of video/image understanding with low/weak supervision, fast speed, and low-power consumption to address real-world applications.
课题组算力充足、氛围良好,组内学生已发表高水平研究成果(如CVPR Oral等)。团队与国内外顶尖科研团队合作紧密,鼓励学生参与国际学术合作和交流,开拓研究视野。欢迎有志于科研的同学 (博士、硕士、本科生) 联系我 chinahuping@gmail.com。[论文和科研基础不是必须,详查更多信息]
同时招收具有一定基础的实习生、研究助理,将提供优厚的补贴以及充足的计算资源,欢迎投递简历。
News
- 03-2025: A paper accepted as an Oral presentation at CVPR 2025.
- 02-2025: Serving as an Area Chair for NeurIPS 2025.
- 01-2025: Serving as an Area Chair for ACM-MM 2025.
- 12-2024: Serving as an Area Chair for ICML 2025.
- 12-2024: Serving as an Area Chair for IJCAI-25.
- 10-2024: Check our survey on efficient variants of SAM[Arxiv].
- 10-2024: Serving as an Associate Editor for Pattern Recognition (PR).
- 09-2024: Serving as an Area Chair for CVPR 2025.
- 08-2024: Serving as an Associate Editor for ACM Computing Surveys (IF 23.8).
- 05-2024: Serving as an Area Chair for NeurIPS 2024.
- 02-2024: We are organizing The 2nd Multi-Modal Video Reasoning and Analyzing Competition and Vision and Learning for an Enhanced Metaverse Workshop at ICME24.
- 01-2024: Serving as an Area Chair for ACM-MM 2024.
- 01-2024: Joining the UESTC as a faculty member at the School of Computer Science and Engineering.
- 12-2023: Serving as a Senior Program Committee (SPC) member for IJCAI-24.
- 08-2023: Serving as an Area Chair for CVPR 2024
- 05-2023: Serving as Program Chair Assistant for NeurIPS 2023.
- 04-2023: Serving as a DEI committee member for CVPR 2023
- 01-2023: We are organizing Efficient Deep Learning for Computer Vision Workshop at CVPR23
- 12-2022: Serving as a Senior Program Committee (SPC) member for IJCAI-23.
Research
My primary research interests are centered on intelligent visual computing.
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Services
Workshop Organizers:
Academic Service:
- Associate Editor, Pattern Recognition (PR), 2024-Present.
- Associate Editor, ACM Computing Surveys (CSUR), 2024-Present.
- Area Chair, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 2025.
- Area Chair, International Conference on Neural Information Processing Systems (NeurIPS), 2024, 2025.
- Area Chair, International Conference on Machine Learning (ICML), 2025.
- Area Chair, ACM Multimedia (ACM-MM), 2024, 2025.
- Area Chair, International Joint Conference on Artificial Intelligence (IJCAI), 2025.
- Area Chair, IEEE Conference on Artificial Intelligence (CAI), 2024.
- Senior PC, International Joint Conference on Artificial Intelligence (IJCAI), 2023, 2024.
- Assistant Program Chair, International Conference on Neural Information Processing Systems (NeurIPS), 2023.
- Session Chair, International Conference on Robotics and Automation (ICRA), 2020.
- Outstanding Reviewer, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.
Conference Reviewer:
- CVPR, ICCV, ECCV, ICLR, NeurIPS, ICML, etc.
Journal Reviewer:
- IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI)
- International Journal of Computer Vision (IJCV)
- IEEE Transactions on Image Processing (T-IP)
- Pattern Recognition (PR)
- ISPRS Journal of Photogrammetry and Remote Sensing (ISPRS-JPRS)
- IEEE Transactions on Multimedia (T-MM)
- IEEE Robotics and Automation Letters (RA-L)
- Computer Vision and Image Understanding (CVIU)
- IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)
- IEEE Transactions on Computational Imaging (T-CI)
Teaching
- Spring 2025, Machine Learning, UESTC