付昊桓

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等。目前共发表期刊及会议论文200余篇，主持多项国家重点研发计划。

付昊桓教授课题组聚焦计算机科学与地球科学领域的交叉研究，探索以高性能计算技术更好支撑地球系统科学研究的新方法。主要研究方向包括：设计和实现千万核可扩展的高精度地球系统关键圈层模拟软件，探索可高效分析大时空尺度观测数据的自动化方法，以及上述数值模拟软件和大数据分析软件的融合发展。课题组承担了科技部重点研发计划、国家自然科学基金等多项相关课题，并与华为、微软、IBM、Intel、挪威石油、阿美石油、东方物探、斯伦贝谢等多家企业达成横向合作。

诚挚欢迎国内外优秀学生、博士后！

We are constantly looking for students and postdocs!

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

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

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.

4.Application-specific hardware customization.

[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.

2023 Wu Wenjun Artificial Intelligence Science and Technology Award, Second Prize in Science and Technology Progress, Chinese Association for Artificial Intelligence

2022 Science and Technology Award, Science and Technology Progress First Prize, China Electronics Society

2021 ACM Gordon Bell Prize (random quantum circuit simulation, forth author and co-corresponding author)

2021 NSFC Distinguished Young Scientist Fund (Division of Multi-Disciplinary Research)

2020 May 4th Youth Medal of China

2018 May 4th Youth Medal of Jiangsu Province

2017 Top 10 Research Achievements of Tsinghua University

2017 ACM Gordon Bell Prize (non-linear earthquake simulation, lead author)

2016 ACM Gordon Bell Prize (atmospheric dynamic solver, third author and co-corresponding author)

2015 Tsinghua-Inspur Computational Earth Science Young Researcher Award

2015 Best Paper Award (3 out of 278 submissions), IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

2015 Significant Paper in 25 Years, one of the 27 papers selected from the 1,765 publications in the first 25 years of the International Conference on Field Programmable Logic and Application (FPL)

2008 Best Paper Award, International Conference on Field Programmable Technology (FPT)

2007 Best Poster Award, Computer System Research Day, Imperial College London