付昊桓

付昊桓，清华大学深圳国际研究生院长聘教授、副院长，国家超算深圳中心副主任。多年来致力于高性能计算与地学的交叉研究，发表高性能及地学领域论文两百余篇。长期探索以高性能计算和人工智能技术更好支撑地球系统科学研究的新方法，特别是以气候变化、地震、对地观测等地球系统科学领域的关键挑战为导向，将国产超级计算机的强大计算力切实转化成为对复杂现象的模拟能力及对未来的预测能力。其中，千万核可扩展的大气模拟（2016）、地震模拟（2017）以及量子电路模拟（2021）等工作三次获得国际高性能计算应用领域最高奖“戈登•贝尔”奖，大幅提升了模型对极端自然灾害现象以及大规模随机量子电路的精细模拟能力。作为负责人承担国家自然科学基金委交叉学部杰出青年基金项目、科技部重点研发计划项目等。其他成果及奖励包括：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14项）、2017年清华大学十大亮点成果、2018年江苏省五四青年奖章、2020年中国青年五四奖章、2021年中国电子学会科技进步一等奖、2022年清华大学先进集体（团队负责人）、2023年清华大学优秀共产党员、2023年吴文俊人工智能科技进步二等奖等。2025年获评为IEEE Fellow。

付昊桓教授带领的清华大学高性能地学计算研究组由来自多所顶尖院校的10余位优秀学者与40余位研究生组成，在地球系统模式、人工智能数据处理方法、高性能计算方面拥有深厚的研究基础与丰硕的研究成果。

欢迎申请硕士和博士研究生！

团队主页：https://www.thuhpgc.net

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.

1. 深圳市科技重大专项（可持续发展专项），“大湾区百米级天气预报系统技术研究与应用示范”。

2. 广东省重点领域研发计划项目，“人工智能和高性能计算双驱动的科学工程计算”。

3. 科技部重点研发计划项目，“千万核可扩展公里级海陆气耦合区域气候模式及预测系统”。

[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.

2025 IEEE Fellow

2024 The Best HPC Application Nomination, CCF HPC China

2023 Wu Wenjun Award for AI Science and Technology Advancements (Second Class), Chinese Association for Artificial Intelligence

2022 The Best HPC Application Nomination, CCF HPC China

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