Scholar
Sungyong Seo
Google Scholar ID: spYH0tEAAAAJ
Google
Citations & Impact
Citations
3,722
H-index
19
i10-index
20
Publications
20
Co-authors
5
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple conference and journal papers, including 'When physics meets machine learning: a survey of physics-informed machine learning', 'Test of Time: A Benchmark for Evaluating LLMs on Temporal Reasoning', and 'Controlling Neural Networks with Rule Representations'.
Research Experience
- Before joining Google, conducted research at the University of Southern California and the NYU Center for Data Science, working on various machine learning-related areas such as physics-informed machine learning, spatiotemporal data mining, graph-based neural networks, and recommendation systems.
Education
- Aug. 2015 - June 2021, Ph.D. in Computer Science from the University of Southern California, supervised by Professor Yan Liu; Aug. 2012 - Dec. 2014, M.S. in Electrical Engineering from the University of Michigan, Ann Arbor; Jan. 2008 - May 2008, Visiting Student at Nanyang Technological University, Singapore TF-NTU LEaRN Program; Mar. 2005 - Feb. 2012, B.S. in Electrical Engineering (Minor in Physics) from Seoul National University.
Background
- Currently a Software Engineer at Google. Research interests include Graph Networks, Physics-informed Learning, and Spatiotemporal models. Previously a Ph.D. student in the Computer Science Department at the University of Southern California under the supervision of Professor Yan Liu. Also collaborated with Professor Kyunghyun Cho at the NYU Center for Data Science.
Miscellany
- Has a broad interest in machine learning problems, particularly in extracting knowledge from complex structures or networks and using it to build predictive models.
