Noseong Park
Tenured Associate Professor
School of Computing
Kim Jaechul Graduate School of Artificial Intelligence (Adjunct)
Graduate School of Data Science (Adjunct)
Auto-ID Lab Korea (Adjunct)
Korea Advanced Institute of Science and Technology
Biography
Noseong Park is currently a tenured associate professor in the School of Computing and the director of the Big Data Analytics and Learning Laboratory at the Korea Advanced Institute of Science and Technology (KAIST) in South Korea. Before joining KAIST, he was a tenured associate professor at Yonsei University from 2020 to 2024. Prior to that, he served as an assistant professor at George Mason University from 2018 to 2019 and at the University of North Carolina at Charlotte from 2016 to 2018. He received his Ph.D. in Computer Science in 2016 from the University of Maryland, College Park, under the supervision of Professor V. S. Subrahmanian. He earned his Master’s degree from KAIST and his Bachelor’s degree from Soongsil University. He has extensive experience in data mining and machine learning, with applications in scientific machine learning, deep generative learning, spatiotemporal processing, time series processing, recommender systems, and more. He has published over 70 papers in top-tier venues, including NeurIPS, ICLR, ICML, KDD, WWW, VLDB, ICDM, WSDM, SIGIR, IJCAI, and AAAI. Notably, his VLDB paper introducing TableGAN, a method for tabular data synthesis, is the most cited VLDB paper published in the last six years. He has received several accolades, including the Best Student Paper Award as an advisor from IEEE BigData 2022, the Best Demonstration Runner-Up Award from IJCAI 2019, and the Best Paper Runner-Up Award from ASONAM 2016. Additionally, he was honored with multiple Samsung Humantech Paper Awards, one of the most prestigious awards in Korea, in 2022 and 2023. He has secured over $530K in research grants as a principal investigator or co-principal investigator from the NSF, the Office of Naval Research, and other sources during his time in the US. Including grants received in Korea since 2020, his total research funding amounts to $3 million. In particular, his recent research grant on the scientific foundation model for solving continuous equations had been selected by Samsung Science & Technology Foundation. He has also served (or is currently serving) as an area chair or a program committee member for many top-tier conferences, including ICML, ICLR, NeurIPS, KDD, WWW, AAAI, ICDM, and ICWSM. He will serve as a general chair for CIKM, a top-tier venue for recommender systems and information retrieval, in 2025.
Ph.D. Thesis
Title: Top-K Query Processing in Edge-Labeled Graph Data
Advisory Committee:
Prof. V. S. Subrahmanian, Chair/Advisor
Prof. Rama Chellapa
Prof. Amol Deshpande
Prof. Sushil Jajodia
Prof. David Mount
Department of Computer Science
University of Maryland, College Park
Selected Honors and Awards
Participation Award (as an advisor), Samsung Humantech Paper Award, 2023
Best Student Paper Award (as an advisor), IEEE International Conference on Big Data (IEEE BigData), 2022
Silver Award (as an advisor), Samsung Humantech Paper Award, 2022
Okawa Research Award, Okawa Foundation, 2021
Runner-up for the Innovation Award, International Joint Conference on Artificial Intelligence (IJCAI), 2019
Best Paper Runner-up, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2016
Selected Services
Will serve as a general chair in CIKM 2025
Served as a tutorial chair in WSDM 2025
Served as an area chair or a PC Member/Reviewer in ICLR, NeurIPS, ICML, KDD, WWW, AAAI, IJCAI, ICDM, etc.
Served as a PC Co-Chair for the 20th Workshop on Privacy in the Electronic Society (WPES) which was held in conjunction with the ACM Conference on Computer and Communications Security (CCS) 2021
Served as a Publications Chair for the 16th EAI International Conference on Security and Privacy in Communication Networks (Securecomm) 2020
Served as a PC Co-Chair for the International Conference on Web Service (ICWS) 2020