​Sungsu Lim (임성수)
Associate Professor, CNU CSE
Data Intelligence Lab. (데이터 인텔리전스 연구실)
99 Daehak-ro, Yuseong-gu, Daejeon 34134, Korea
​
E-mail: sungsu[at]cnu[dot]ac[dot]
Office: Room W2-612
[Google Scholar] [Selected Papers]

​​I am an Associate Professor at Department of Computer Science and Engineering (CSE), Chungnam National University (CNU) and am leading Data Intelligence Lab. I received my Ph.D. in Data Science from Korea Advanced Institute of Science and Technology (KAIST), where I was fortunate to be advised by Prof. Jae-Gil Lee and Prof. Kyomin Jung. My Research interests include mining and learning with graphs, data and knowledge engineering, and efficient machine learning.
* I am on sabbatical leave at Nota AI's Sunnyvale office from Feb. 2024 to Feb. 2025. (국외파견, 미국 캘리포니아)

Education (학력)
Experiences (약력)
Awards & Honors (수상)
  • Outstanding Young Researchers Grant (우수신진연구 & 최초혁신실험실), NRF of Korea, 2023-2026 [news]
  • KSEE Young Engineering Educator Award (한국공학교육학회 젊은공학교육자상), 2023 [info.]
  • NVIDIA Applied Research Accelerator Award (with Nota AI, NVIDIA 연구지원), 2022-2023 [info.]​
  • CNU Teaching Award (top 1% out of 900+ professors, 충남대 우수강의교수), 2022 [news]
  • Commissioner's Citation (for AI research cooperation, 관세청장 표창), Korea Customs Service, 2021
  • Best Paper Award - 3rd Place (with Prof. Sangkeun Jung, 우수논문상), IEEE BigComp, 2021
  • Qualcomm Innovation Award, Qualcomm Korea, 2016
  • KT ICT Award, Big Data Analysis Contest (Big Contest), 2014
  • ​Nomination Award, Microsoft Research Asia Fellowship, 2012
  • Honorable Mention, Samsung Humantech Paper Award, 2012
  • Outstanding Teaching Assistant Award, KAIST Math, 2010
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Advising (지도)
  • Data Intelligence Lab. (데이터 인텔리전스 연구실) // Office: Room W2-528
  • Full-time PhD Students: Soohwan Jeong (정수환), Jeongseon Kim (김정선), Jongmin Park (박종민), SoYoung Park (박소영), SeungHoon Han (한승훈)
  • Full-time MS Students: Hyewon Lee (이혜원), Minkyung Song (송민경), JungHyun Oh (오정현)
  • Alumni - PhD Student: Hwan Kim (김환), etc.
  • Alumni - MS Students: Yeong Cheol Kim (김영철), Sub Jae Shin (신섭재), Nakhyeon Seong (성낙현), Mingyu Choi (최민규), etc.
  • Awards: 2023 한국연구재단 박사과정생 연구장려금 (정수환, 김정선) [news], 2022 연구데이터 분석활용 경진대회 NST 이사장상 (김환, 정수환, 김정선, 김영철), 2021 KSC 우수발표논문상 (김정선), 2021 KDBC 우수논문상 금상 (박종민, 강다현), 2021 Electric Data AI Competition 우수상 (김정선, 박종민, 성낙현, 강다현), 2020 KSC 우수논문상 (김정선), 2019 쏘카 영상분석 경진대회 우수상 (최소영, 심규영), 2019 KSC 학부생논문 장려상 (정수환, 박종민)
  • Research Funds: 한국연구재단 4단계 BK21 사업(2020-2027), 과기정통부 AI융합혁신대학원 사업(2022-2025), 정부출연연구소 위탁/용역 연구 등
  • Visiting Abroad Institutions: University of Vermont (김환, 정수환, 박종민, Host: Prof. Byung Suk Lee), Winter 2022

Teaching (교육)
  • Topics in Data Mining (데이터마이닝특강), Spring 2025
  • Machine Learning with Graphs (그래프기계학습), Fall 2025 (expected), Fall 2022, Spring 2021 [web]
  • Lightweight Deep Learning (경량딥러닝), Fall 2023, Fall 2021 (with Nota AI)
  • Advanced Algorithms (고급알고리즘), Fall 2019
  • Data Science (데이터과학), Spring 2023, Spring 2022, Spring 2021, Spring 2020, Spring 2019
  • Deep Learning (딥러닝), Spring 2024 (MOOC), Spring 2023 (MOOC), Spring 2022
  • Numerical Analysis (수치해석), Fall 2018
  • Mathematics for AI (AI를위한수학), Fall 2023, Fall 2022
  • Linear Algebra (선형대수), Fall 2025 (expected), Fall 2023, Fall 2022, Fall 2021, Fall 2020, Fall 2019
  • Discrete Mathematics (이산수학), Spring 2025, Spring 2021, Spring 2020, Spring 2019
  • [+] a variety of AI-related courses at the undergraduate and graduate levels at CNU (many more!)

Services (봉사)
  • Board Member (이사): KIISE Data Society of Korea 2019-present, KSIAM 2022
  • Editorial Board Member (편집위원): Frontiers in Big Data 2023-present, Journal of KIISE 2022-present, Communications of KIISE 2022 & 2024, etc.
    • ​​Editor: Special Issue on Data Intelligence (Communications of KIISE, Mar. 2024)
    • ​Editor: Special Issue on Robust and Fair AI (Communications of KIISE, Nov. 2022)
  • Organizing Committee (조직위원): 2023 AI대학원 심포지엄, Korea Computer Congress 2022, KDBC 2021-2022, KSIAM Spring & Fall 2022, etc.
  • Program Committee (프로그램위원): AAAI 2022-2024, ECAI 2024, PAKDD 2019-2022 & 2024-2025, IEEE BigData 2022, IEEE BigComp 2022-2025, etc.
  • Journal Reviewer (심사위원): IEEE TKDE, IEEE J-STSP, IEEE Communications Letters, IEEE Access, VLDB Journal, Pattern Recognition, Journal of Supercomputing, Journal of Communications and Networks, ICT Express, Horticultural Science and Technology, etc.
  • Tutorial Speaker (튜토리얼연사): IEEE BigComp 2020 (Community Detection in Graphs), Korea Computer Congress 2019 (Learning on Graphs)​
  • Invited Speaker (초청연사): Kangwon Nat'l Univ. Data Science Seminar 2024 (Heterogeneous Graph Embedding), UNIST EE Seminar 2022 (Heterogeneous Graph Embedding), KSIAM Annual Meeting 2021 (Multi-aspect Graph Embedding), Univ. of Seoul AI Seminar 2021 (Learning on Graphs), IBS Data Science Group Seminar 2020 (Learning on Graphs), Kyung Hee University CS Seminar 2019 (Community Detection in Graphs), Korea-Japan Database Workshop 2019 (Learning on Graphs), etc.
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Miscellaneous (기타)
  • Erdös number 3 (Paul Erdös - Peter Winkler - Matthew Andrews - Sungsu Lim)
  • ​Sergeant (병장), Republic of Korea Army, 2016-2018