付昊桓 - 清华大学 - 深圳国际研究生院

个人简介

付昊桓，清华大学教授，多年来专注高性能计算、人工智能和地球系统科学交叉融合研究，支撑了气候模拟、地震模拟等一系列关键应用在国产超算上扩展至千万核规模，三次（2016、2017、2021）获得国际高性能计算应用领域最高奖“戈登•贝尔”奖。2016年获清华-浪潮计算地球科学青年人才奖；基于“神威•太湖之光”的一系列应用成果荣获2017年世界互联网大会乌镇峰会世界互联网领先科技成果（全球仅入选14项）；2020年获中国青年五四奖章；2022年获中国计算机学会中国超算年度最佳应用提名、清华大学先进集体（团队负责人）；2023年获中国人工智能学会吴文俊人工智能科学技术奖科技进步二等奖、清华大学优秀共产党员；2024年获得中国计算机学会中国超算年度最佳超算应用提名。付昊桓教授及团队成员已在Nature、Super Computing、Remote Sensing of Environment、CVPR、RSE、ISPRS等地学和计算机领域重要期刊与学术会议共发表200余篇高质量论文。主持和参与了科技部重点研发计划、国家自然科学基金、广东省重大专项等多项研发课题，与华为、微软、挪威石油、阿美石油、东方物探等多家企业深度合作。教育经历： 2005年12月-2009年2月，伦敦帝国理工学院，计算机科学专业，博士 2003年9月-2005年7月，香港城市大学，计算机科学专业，硕士 1999年9月-2003年7月，清华大学，计算机科学与技术专业，学士工作经历： 2018年-至今，清华大学，教授 2010年-2018年，清华大学，副教授 2009年-2010年，斯坦福大学，博士后

研究领域

1. Extreme-Scale Computing on Heterogeneous Supercomputers: one of my research interest is to explore the numerical methods, parallelization schemes, performance tuning techniques, as well as redesigning strategies for mapping some of the most challenging scientific applications, such as atmospheric modeling, and earthquake simulation, onto emerging many-core, and reconfigurable architectures, and to enable depiction of extreme-scale scientific scenarios on leadership peta to exa-scale supercomputers. 2. Data Mining Methods for Analyzing Scientific Data Sets: facing a fast growth in the volume of data from both observations and simulations, we explore parallel data mining methods, enabled by the emerging heterogeneous architectures, to acclerate the process of making new discoveries. 3. Fusion of the above two.

近期论文

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1. Lixian Zhang, Zhehao Ren, Bin Chen, Peng Gong, Bing Xu, Haohuan Fu, “A prolonged artificial nighttime-light dataset of China (1984-2020)”, Scientific Data, pp. 414, 2024. 2. L Zhang, S Yuan, R Dong, J Zheng, B Gan, D Fang, Y Liu, H Fu, “SWCARE: Switchable learning and connectivity-aware refinement method for multi-city and diverse-scenario road mapping using remote sensing images”, International Journal of Applied Earth Observation and Geoinformation, 2024. 3. X Duan, Q Shao, J Weng, B Schmidt, L Gan, G Li, H Fu, W Xue, W Liu, et al. “Bio-esmd: A data centric implementation for large-scale biological system simulation on sunway taihulight supercomputer”, IEEE Transactions on Parallel and Distributed Systems 34 (3), 881-893, 2023. 4. Yong Liu, Xin Liu, Fang Li, Haohuan Fu, Yuling Yang, Jiawei Song, Pengpeng Zhao, Zhen Wang, Dajia Peng, Huarong Chen, Chu Guo, Heliang Huang, Wenzhao Wu, Dexun Chen, “Closing the “quantum supremacy” gap: achieving real-time simulation of a random quantum circuit using a new Sunway supercomputer”, Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, pp, 1-12, 2021. 5. Haohuan Fu, Junfeng Liao, Nan Ding, et al., Redesigning CAM-SE for Peta-Scale Climate Modeling Performance and Ultra-High Resolution on Sunway TaihuLight, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC17), 12 pages, 2017. 6. Haohuan Fu, Junfeng Liao, Wei Xue, Lanning Wang, et al., Refactoring and Optimizing the Community Atmosphere Model (CAM) on the Sunway TaihuLight Supercomputer, in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC16), pp. 969-980, Salt Lake City, Utah, US, 2016.