Hao Su Bio

English version:

Hao Su is an Associate Professor of Computer Science at the University of California, San Diego (UCSD), and also serves as the Founder and Chief Technology Officer of Hillbot, an intelligent robotics startup. At UCSD, he is the Director of the Embodied Intelligence Laboratory, a founding member of the Halıcıoğlu Data Science Institute, and a member of the Center for Visual Computing and the Contextual Robotics Institute. His research focuses on developing algorithms to simulate, understand, and interact with the physical world. His interests span computer vision, machine learning, computer graphics, and robotics, with extensive publications and teaching experience in these fields.

Su obtained his Ph.D. in Computer Science from Stanford University. Prior to that, he received his Ph.D. in Mathematics from Beihang University. At Stanford and UCSD, he developed widely-used datasets and software, such as ImageNet, ShapeNet, PointNet, PartNet, SAPIEN, and the recent ManiSkill. These works have greatly advanced research progress in areas such as 3D vision and robot manipulation. He also developed new courses to promote the application of machine learning methods in 3D vision and embodied intelligence.

Su serves as the Program Chair of CVPR 2025. He has also served as an Area Chair or Associate Editor for top conferences and journals in computer vision (ICCV/ECCV/CVPR), computer graphics (SIGGRAPH/ToG), robotics (IROS/ICRA), and machine learning (NeurIPS/ICLR). He has been awarded the SIGGRAPH Best Doctoral Dissertation Honorable Mention and the NSF CAREER Award.

Chinese version:

苏昊副教授现任职于加州大学圣地亚哥分校(UCSD)计算机科学系,同时担任智能机器人初创公司Hillbot的创始人兼首席技术官。在UCSD,他领导着具身智能实验室,并在哈里乔奥卢数据科学研究所(HDSI)、视觉计算中心(CVC)和情境机器人研究所(CRI)担任职务。苏教授的研究重点是开发能够模拟、理解并与现实世界互动的算法。他的研究兴趣广泛,涵盖计算机视觉、机器学习、计算机图形学和机器人学等领域,并在这些方面取得了丰硕的研究成果和教学经验。

苏昊教授先后在北京航空航天大学和斯坦福大学分别获得数学博士和计算机科学博士学位。在斯坦福大学和UCSD期间,他开发了一系列广受欢迎的数据集和软件,包括ImageNet、ShapeNet、PointNet、PartNet、SAPIEN,以及最新的ManiSkill项目。这些工作为三维视觉、机器人操作等领域的研究发展做出了重大贡献。此外,他还开创了新的课程,致力于推广机器学习方法在三维视觉和具身智能方面的应用。

苏昊教授担任2025年计算机视觉与模式识别会议(CVPR)的程序委员会主席。他曾多次在计算机视觉(ICCV/ECCV/CVPR)、计算机图形学(SIGGRAPH/ToG)、机器人学(IROS/ICRA)和机器学习(NeurIPS/ICLR)等顶级会议和期刊中担任领域主席或副主编。凭借其杰出的研究成果,苏教授荣获了SIGGRAPH最佳博士论文提名奖、美国国家科学基金会(NSF)职业生涯奖,以及2024年国际机器人与自动化会议(ICRA)最佳论文奖等多项殊荣。