I am an Associate Professor in the School of Computing and AI at Chungnam National University (CNU), where I lead the Data Intelligence Lab (DILAB).

I received my Ph.D. in Data Science from KAIST, where I was advised by Prof. Jae-Gil Lee and Prof. Kyomin Jung. My research interests include graph machine learning, trustworthy AI, GraphRAG and LLM applications, and recommender systems, with broader interests in data mining and knowledge engineering.

🔥 News

2026.08: 🎉 Our work on few-shot node classification on text-attributed graphs was accepted to CIKM 2026.
2026.07: 🎉 Our work on quantile-free uncertainty quantification for GNNs was presented at ICML 2026.
2026.07: 🎉 Two papers on GraphRAG and recommendation were presented at SIGIR 2026.
2026.03: 🎉 Our work on visual token pruning for multimodal LLMs was presented at WACV 2026.
2026.02: 🎉 Our work on LLM-enhanced citation network representation learning was presented at WSDM 2026.
2026.01: Received the CNU President’s Commendation for Outstanding Faculty Member.
2025.11: 🎉 Two papers on fair graph learning and signed community detection were presented at CIKM 2025.

🔬 Research Interests

Graph Machine Learning
Trustworthy and Reliable AI
GraphRAG and LLM Applications
Recommender Systems and Information Retrieval

📝 Selected Recent Publications

Quantile-Free Uncertainty Quantification in Graph Neural Networks

Soyoung Park, Hwanjun Song, and Sungsu Lim*
ICML 2026 · Regular Paper · Acceptance Rate: 26.6%

StAR: Adaptive Structure-Aware Reranking for Semantic-Structural Alignment in GraphRAG

Junghyun Oh and Sungsu Lim*
SIGIR 2026 · Short Paper · Acceptance Rate: 26.7%

DisCoRec: Disentangled Conformity-aware Recommendation with LLM-Guided Multi-View Learning

Minkyung Song, Soyoung Park*, and Sungsu Lim*
SIGIR 2026 · Short Paper · Acceptance Rate: 26.7%

Seunghoon Han, Hyewon Lee, Soyoung Park, Jong-Ryul Lee*, and Sungsu Lim*
WACV 2026 · Regular Paper · Acceptance Rate: 33.7%

🎖 Selected Honors and Awards

2025: CNU President’s Commendation for Outstanding Faculty Member
2023–2026: Outstanding Young Researchers Grant, NRF of Korea
2023: KSEE Young Engineering Educator Award
2022: NVIDIA Applied Research Accelerator Award
2022: CNU Teaching Award
2021: Commissioner’s Citation, Korea Customs Service
2021: Best Paper Award (3rd Place), IEEE BigComp
2016: Qualcomm Innovation Award
2014: Nomination Award, Microsoft Research Asia Fellowship
2012: Honorable Mention, Samsung Humantech Paper Award

💼 Experience

2023–present: Associate Professor, Chungnam National University
2024–2025: Advisor & Visiting Researcher, Nota AI, Sunnyvale, CA, USA
2018–2023: Assistant Professor, Chungnam National University
2013–2016: Research Assistant, Data Mining Lab., KAIST (Advisor: Jae-Gil Lee)
2010–2013: Research Assistant, Applied Algorithm Lab., KAIST (Advisor: Kyomin Jung)

📖 Education

2016: Ph.D. in Data Science, KAIST
2011: M.S. in Mathematical Sciences, KAIST
2009: B.S. in Mathematical Sciences, KAIST
2004: Chungnam Science High School (early graduation)

👥 Data Intelligence Lab

I have led the Data Intelligence Lab (DILAB) at Chungnam National University since 2018. Our group conducts research on graph machine learning, trustworthy AI, GraphRAG and LLM applications, and recommender systems and information retrieval.

📌 DILAB 2026 Open Lab Materials

📢 We are recruiting motivated graduate students and postdoctoral researchers. Please contact me via email if you are interested.

Our group currently has 2 Ph.D. and 2 M.S. full-time students (Seunghoon Han, Kwanhee Lee, Minkyung Song, and Junghyun Oh). Since 2018, we have graduated 5 Ph.D. and 5 M.S. full-time students. Our Ph.D. alumni are Hwan Kim (M.I.Cube Solution), Soohwan Jeong (ADD), Jeongseon Kim (ETRI), Jongmin Park (ETRI), and Soyoung Park.

Our students have received research fellowships and awards from NRF Korea, NST, KISTI, Alibaba, and others.

🎓 Teaching

Selected courses at Chungnam National University:

Machine Learning with Graphs
Topics in Data Mining
Deep Learning
Data Science
Mathematics for AI
Linear Algebra
Discrete Mathematics

🤝 Professional Service

Organizing Committee: KDD 2026 (Poster Chair), BigComp 2027 (Social Media Chair), KCC 2026 (Workshop Chair), etc.
Program Committee: AAAI, SIGIR, CIKM, DASFAA, PAKDD, ECAI, BigComp, etc.
Editorial Board Member: Frontiers in Big Data, Journal of KIISE, Communications of KIISE, etc.
Reviewer for journals including Proceedings of the IEEE, IEEE TKDE, VLDB Journal, and Information Sciences

🎤 Selected Invited Talks

2026: Graph Learning: Representation, Recommendation, Reasoning, and Reliability, UNIST (upcoming)
2026: Generative & Trustworthy AI, Chungnam National University Hospital
2026: Trustworthy AI, Korea Astronomy and Space Science Institute
2025: LLM & RAG, Public Procurement Service
2024: Heterogeneous Graph Embedding, Kangwon National University

Sungsu Lim