Brief Bio
Dr. Yongchao Liu is a Staff Engineer in Ant Group (from 07/2017 to present) leading the development of a novel distributed graph learning system called GeaLearning. Prior to that, he worked as a Research Scientist II (a research faculty member) in the School of Computational Science & Engineering, Georgia Institute of Technology (USA) (from 01/2015 to 07/2017), and as a Postdoctoral Researcher in the Institute of Computer Science, University of Mainz (Germany) (from 11/2011 to 01/2015). He earned his Ph.D degree in computer engineering from Nanyang Technological University (Singapore) in 2012 (supervised by Dr. Bertil Schmidt and Dr. Douglas Maskell). Prior to that, he earned the Master and Bachelor degrees in computer science and technology from Nankai University (China) in 2008 and 2005, respectively.
To address Big Data and Artificial Intelligence challenges, he proposed a new concept of computing, i.e. Compact Computing, which centers around data and enables full-stack computation by tightly coupling algorithms with systems. He has published tens of high-quality papers in top journals and conferences, including Bioinformatics, ACM TACO, IEEE TCBB, KDD, NeurIPS, AAAI, ICDE, EuroSys, PACT and IPDPS. He won two Best Paper Awards at IEEE International Conference on Application-specific Systems, Architectures and Processors (IEEE ASAP) in 2009 and 2015, the Program to Empower Partnerships with Industry Award from U.S. South Big Data Hub in 2016, and got one Best Paper Award recommendation at IEEE International Conference on Cluster Computing (IEEE Cluster) in 2014. He broke the world record in the Stanford Open Graph Benchmark proteins dataset leaderboard in 2021 and leads the development of GeaLearning, the first distributed and scalable graph learning system built upon vertex-centric distributed graph processing paradigm. The landing of GeaLearning on Zhima Credit in Alipay App was listed in Ant Technology Memorabilia in 2020. Moreover, GeaLearning is a core component of GeaGraph (alias TuGraph) that won the World's Leading Internet Scientific and Technological Achievement Award from World Internet Conference in 2021. He was awarded Innovative Talent (in artificial intelligence) of Hangzhou 521 Program for Global Talents Introduction in 2019 and was recognized as Hangzhou High-Level Talents of Category C (i.e. Provincial-level Leading Talent) in 2020. He was appointed as an Industry Mentor by the Institute of Software, Chinese Academy of Sciences in 2024. His research interests focus on parallel computing, machine learning, bioinformatics and algorithms.
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