Professor

Hu Ping

Affiliation: University of Electronic Science and Technology of China, Chengdu, China

College of Engineering and Computer Science

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Introduction

Prof. Ping Hu is an affiliate faculty member at VinUniversity and a Professor with the School of Computer Science and Engineering, University of Electronic Science and Technology of China (UESTC). He received his Ph.D. from Boston University in Jan, 2023 and subsequently served there as a Postdoctoral Associate. He is awarded the prestigious National Youth Talent Program by the National Natural Science Foundation of China and recognized as a Distinguished Expert of Sichuan Province. He leads cutting-edge research at the intersection of computer vision and deep learning. His work focuses on open-world scene understanding, spatial intelligence, and multi-modal learning, with a specific emphasis on efficient perception and reasoning in complex dynamic environments. Currently, he is the Principal Investigator for major grants for developing large multimodal models and multi-sensor collaboration systems. He has published over 50 papers in top-tier AI journals and conferences, such as IEEE T-PAMI, IEEE T-IP, IJCV, CVPR, ICCV, and ECCV. He is actively engaged in professional service to the academic community, serving as an Associate Editor for Pattern Recognition (PR) and ACM Computing Surveys (CSUR). He holds senior roles in international conferences, serving as the Assistant Program Chair for the International Conference on Neural Information Processing Systems (NeurIPS) 2023 and the Technical Program Chair for the British Machine Vision Conference (BMVC) 2026. Additionally, he serves as an Area Chair for premier venues including CVPR, NeurIPS, ICML, ICLR, IJCAI, ACM Multimedia, and ICASSP. He has also organized multiple workshops and grand challenges, such as the “IEEE Vision and Learning for an Enhanced Metaverse” workshop and the “IEEE Low-Power Computer Vision Challenge.”

Affiliation: University of Electronic Science and Technology of China, Chengdu, China

Research Output

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Keyphrases

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Computer Science

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