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Ping Hu |
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.
胡平，电子科技大学计算机科学与工程学院教授，博士生导师，国家级青年人才，四川省特聘专家。研究方向为计算机视觉与深度学习，包括空间智能、场景感知、多模态大模型等方向，聚焦复杂动态环境中感知与推理的前沿问题。迄今在人工智能领域的国际顶级期刊和会议（如 IEEE T-PAMI、IEEE T-IP、CVPR、ICCV、ECCV、NeurIPS 等中科院JCR一区和CCF A类期刊或会议）发表高水平论文 50 余篇。围绕数字化、智能化应用中对复杂动态环境“精细分析、快速响应、可靠推理”的需求开展深入探索，并取得一系列创新性成果，获得国内外同行的广泛认可。现主持国家自然科学基金面上项目、国家高层次青年人才项目等，作为主要研究人员参与包括科技部重点研发项目、美国 NSF、DARPA 等在内的多项国内外重大项目。担任 CVPR、NeurIPS、ICML、ACM-MM、IJCAI 等 CCF A 类会议领域主席，NeurIPS 2023 组委成员，以及 ACM Computing Surveys、Pattern Recognition 等国际期刊的 Associate Editor，及各类评审专家等。
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。[更多信息]
Research
My primary research interests are centered on intelligent visual computing.
Services
Workshop Organizers:
IEEE ICME Grand Challenge – 2nd Multi-Modal Video Reasoning and Analyzing Competition 2024.
Efficient Deep Learning for Computer Vision Workshop at CVPR23.
Visual Domain Adaptation Challenge at ICCV2019.
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
Teaching Assistant:
- Fall 2022, Principles of Machine Learning, Boston University,
- Summer 2022, AI4All Project, Boston University
- Spring 2016, Machine Learning and Image Analysis, University of Chinese Academy of Sciences
- Fall 2015, Computer Vision, University of Chinese Academy of Sciences
- Spring 2015, Digital Image Processing, University of Chinese Academy of Sciences