Ping Hu, PhD
College of Engineering and Computer Science
Affiliate Faculty
Professor - Computer Science and AI
Biography
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.”
· Computer Vision
· Machine Learning
· Artificial Intelligence
· Generative Model
· Computer Vision
· Machine Learning
· Image and Video Processing
· Longyu Yang, Ping Hu, Shangbo Yuan, Lu Zhang, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, “Towards Explicit Geometry-Reflectance Collaboration for Generalized LiDAR Segmentation in Adverse Weather”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
· Jiazuo Yu, Zichen Huang, Yunzhi Zhuge, Lu Zhang, Ping Hu, Dong Wang, Huchuan Lu, and You He, “MoE-Adapters++: Towards More Efficient Continual Learning of Vision-Language Models via Dynamic Mixture-of-Experts Adapters”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2025.
· Xiaofei Hui, Haoxuan Qu, Ping Hu, Hossein Rahmani, Jun Liu, “Boundary Probing for Input Privacy Protection When Using LMM Services ”, IEEE International Conference on Computer Vision (ICCV), 2025.
· Xiaorui Sun, Jun Liu, Heng Tao Shen, Xiaofeng Zhu, and Ping Hu, “On Efficient Variants of Segment Anything Model: A Survey”, International Journal of Computer Vision (IJCV), 2025
· Duo Peng, Qiuhong Ke, Mark He Huang, Ping Hu, and Jun Liu, “Unified Prompt Attack Against Text-to-Image Generation Models ”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2025.
· Lu Zhang, Jiazuo Yu, Haomiao Xiong, Ping Hu, Yunzhi Zhuge, Huchuan Lu, You He, “FineRS: Fine- grained Reasoning and Segmentation of Small Objects with Reinforcement Learning”, Neural Information Processing Systems (NeurIPS), 2025.
· Reuben Tan, Ximeng Sun, Ping Hu, Jui-Hsien Wang, Hanieh Deilamsalehy, Bryan A. Plummer, Bryan Russell, Kate Saenko, “Koala: Key frame-conditioned long video-LLM”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
· Duo Peng, Zhengbo Zhang, Ping Hu, Qiuhong Ke, David Yau, Jun Liu, “PPM: Text-to-Image Diffusion Models are Category-Agnostic Pose Estimators”, European Conference on Computer Vision (ECCV), 2024.
· Ping Hu, Ximeng Sun, Stan Sclaroff, Kate Saenko, “Dualcoop++: Fast and effective adaptation to multi-label recognition with limited annotations ”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2024.
· Ping Hu, Simon Niklaus, Lu Zhang, Stan Sclaroff, Kate Saenko, “Many-to-many Splatting for Efficient Video Frame Interpolation”, IEEE Trans. on Pattern Analysis and Machine Intelligence (T-PAMI), 2024
· 2022: PhD in Computer Science, Boston University, USA.
· 2016: MSc in Computer Engineering, University of Chinese Academy of Sciences, China.
· 2013: BSc in Electronics Engineering, Sichuan University, China.
