I have published 50+ peer-reviewed papers in international journals and conferences, with — Google Scholar citations. For the complete and up-to-date list, please see my Google Scholar.

* Corresponding author · † Equal contribution

Preprints

[J] Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding

Jongmin Park, Seunghoon Han, Won-Yong Shin, and Sungsu Lim*
IEEE Transactions on Network Science and Engineering (TNSE), In Revision

[J] Structure-Aware Conformal Calibration for Uncertainty Quantification in Recommender Systems

Soyoung Park, Minkyung Song, and Sungsu Lim*
Information Sciences, Under Review

[J] TriBaL: Graph-Based Denoising of LLM-ExtractedSigned Knowledge Graphs via Triangle–Balance Learning

Jeongseon Kim, Sanghun Jeon, Hyunjin Choo, and Sungsu Lim*
Information Sciences, Under Review

[J] GLaD: Global and Label-aware Document Modeling with Heterogeneous Graphs for Multi-Label Text Classification

Soohwan Jeong, Jongmin Park, Susik Yoon*, and Sungsu Lim*
Knowledge-Based Systems, Submitted

[J] Beyond Direct AI Exposure: Measuring Network-Mediated Labor Risk Through Multilayer Occupational Networks

Soyoung Park†, Junghyun Oh†, Minkyung Song, Jin-woo Lee, Jincheul Jang, and Sungsu Lim*
EPJ Data Science, In Preparation

[J] Prediction of Total Ionization Cross Sections Using Graph Neural Networks

​Jun-Hyoung Park, Young Choon Park, Hyunu Chang, Heechol Choi, Sunghwan Choi, and Sungsu Lim*
Plasma Sources Science and Technology, In Revision

[J] UNITE: Unified Table Extraction Pipeline for XML Structuring in Scientific Documents

Jaewook Seol, Hyejin Lee, and Sungsu Lim*
In Preparation

[J] Survey on Heterogeneous Graph Embedding: From the Perspective of Embedding Spaces

Seunghoon Han, Junghyun Oh, Beomjin Kim, Jongmin Park, David Yoon Suk Kang, Dongwon Lee, and Sungsu Lim*
In Preparation

[J] (Work on topological water networks)

Re Gin Jeoung et al.
In Preparation

[C] (Work on traffic forecasting)

Daniel Y. Lee, Seungwon Shin, Seunghoon Han, Sungsu Lim, and Susik Yoon*
Top-tier Conference · Regular Paper · Submitted

[C] (Work on traffic forecasting)

Seunghoon Han, Junghyun Oh, Jongmin Park, and Sungsu Lim*
Top-tier Conference · Regular Paper · Submitted

[C] (Work on effective VLLMs)

Seunghoon Han, Junghyun Oh, Jin-woo Lee, and Sungsu Lim*
Top-tier Conference · Regular Paper · Submitted

[C] (Work on efficient GraphRAG)

Junghyun Oh, Jin-woo Lee*, and Sungsu Lim*
Top-tier Conference · Short Paper · Submitted

[C] (Work on heterogeneous graph embedding)

Jongmin Park†, Seunghoon Han†, Hyewon Lee, Won-Yong Shin, and Sungsu Lim*
Top-tier Conference · Regular Paper · Submitted

[C] (work on graph clustering)

Taejoon Han, Seungchan Choi, Hyewon Kim, Minseok Kim, Dahee Kim, Junghoon Kim*, Sungsu Lim, and Seongil Wi
Top-tier Conference · Regular Paper · Submitted

[C] (Work on KV cache translation)

Jin-woo Lee, Minkyung Song, Junghyun Oh, Seunghoon Han, Soyoung Park, Sungsu Lim, and Gwangseon Jang
Top-tier Conference · Regular Paper · In Preparation

[C] (Work on recommendation via Mixture-of Experts)

Minkyung Song, Jin-woo Lee*, and Sungsu Lim*
Top-tier Conference · Short Paper · In Preparation

[C] (Work on continual multi-agent reasoning)

Jin-woo Lee†, Minkyung Song†, et al.
Top-tier Conference · Regular Paper · In Preparation

[C] (Work on heterogeneous GNNs)

Jongmin Park, Seunghoon Han, Junhyeong Lee, Sungsu Lim, and Seunghwa Ryu*
Top-tier Conference · Regular Paper · In Preparation

[P] (Work on fairness in GNNs)

Soyoung Park and Sungsu Lim*
Preprint

[P] (work on graph clustering)

Dahee Kim, Taejoon Han, Junghoon Kim*, and Sungsu Lim
Preprint

[P] (Work on retrieval-augmented classification with LLM)

Chanuk Lim†, Gwangseon Jang†, Kyong-Ha Lee, Sangkeun Jung, and Sungsu Lim*
Preprint

2026

[C24] Who Should Teach? Confidence-Aware Dual-Teacher Learning for Few-Shot Node Classification on Text-Attributed Graphs

Hojin Kim, Sujin Yoon, Sungsu Lim, Dongwon Lee, and David Yoon Suk Kang*
CIKM 2026 · Short Paper · Acceptance Rate: 30.9%

[C23] StAR: Adaptive Structure-Aware Reranking for Semantic-Structural Alignment in GraphRAG

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

[C22] 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%

[C21] Quantile-Free Uncertainty Quantification in Graph Neural Networks

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

[C20] MR-Pruner: Training-free Multi-resolution Visual Token Pruning for Multi-modal Large Language Models

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

[J35] Uncovering High-Order Cohesive Structures: Efficient (k,g)-Core Computation and Decomposition for Large Hypergraphs

Dahee Kim, Hyewon Kim, Song Kim, Minseok Kim, Junghoon Kim*, Yeon-Chang Lee, and Sungsu Lim
Knowledge-Based Systems, Feb. 2026

[J34] Hybrid Retrieval-Augmented Generation: Semantic and Structural Integration for Large Language Model Reasoning

Hyewon Lee and Sungsu Lim*
Applied Sciences, Feb. 2026

[C19] Metadata Meets LLMs: Constructing Knowledge-Rich Citation Networks with CoT-Enhanced Representations

Soohwan Jeong, Mingyu Choi, Joon-Young Kim, Susik Yoon*, and Sungsu Lim*
WSDM 2026 · Short Paper · Acceptance Rate: 35.6%

[C18] MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation

Minkyung Song, Soyoung Park, and Sungsu Lim*
AAAI 2026 · Student Abstract · Acceptance Rate: 43.3%

[J33] Label-based Graph Augmentation with Metapath for Graph Anomaly Detection

Hwan Kim, Junghoon Kim*, Byung Suk Lee, and Sungsu Lim*
Expert Systems with Applications, Jan. 2026

2025

[J32] Sequence-aware Adaptive Graph Convolutional Recurrent Networks for Traffic Forecasting

Seunghoon Han, Hyewon Lee, Daniel Y. Lee, Sungsoo Kim, Susik Yoon*, and Sungsu Lim*
Knowledge-Based Systems, Nov. 2025

[C17] FnRGNN: Distribution-aware Fairness in Graph Neural Network

Soyoung Park and Sungsu Lim*
CIKM 2025 · Short Paper · Acceptance Rate: 30.6%

[C16] CR-SGCN: Unsupervised Signed Community Detection via Conductance Regularization

Jeongseon Kim and Sungsu Lim*
CIKM 2025 · Short Paper · Acceptance Rate: 30.6%

[J31] Bridges in Social Networks: Current Status and Challenges

Jeongseon Kim, Soohwan Jeong, Jungeun Kim, and Sungsu Lim*
PeerJ Computer Science, Sep. 2025

[J30] LLM-powered Scene Graph Representation Learning for Image Retrieval via Visual Triplet-based Graph Transformation

Soohwan Jeong†, Jongmin Park†, Mingyu Choi†, Yongjin Kwon*, and Sungsu Lim*
Expert Systems with Applications, Aug. 2025

[C15] Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation

Soyoung Park†, Hyewon Lee†, Mingyu Choi, Seunghoon Han, Jong-Ryul Lee*, Sungsu Lim*, and Tae-Ho Kim*
PAKDD 2025 · LLM Track · Acceptance Rate: 23.1%

[J29] Beyond Trivial Edges: A Fractional Approach to Cohesive Subgraph Detection in Hypergraphs

Hyewon Kim, Woocheol Shin, Dahee Kim, Junghoon Kim*, Sungsu Lim, and Hyun Ji Jeong
Knowledge-Based Systems, Jun. 2025

[J28] Succinct Link Transformation-based Overlapping Community Detection Framework for Social Network Analysis

Seungwoo Ryu, Sungsu Lim, Seungsoo Yoo, and Sun Yong Kim*
IEEE Access, May 2025

[J27] Non-destructive Analysis of Anthocyanin Content Levels Based on RGB Images of Red Lettuce

Giju Eoh, Sungsu Lim, and Jongseok Park*
Horticultural Science and Technology, Apr. 2025

[C14] GRAIL: Graph Retrieval-Augmented In-Context Learning for Node Classification in Real-World Textual-Attributed Graphs

Chanuk Lim, Kyong-Ha Lee, Hyun Ji Jeong, and Sungsu Lim*
EDBT 2025

[J26] Dynamic Periodic Event Graphs for Multivariate Time Series Pattern Prediction

Soyoung Park, Hyewon Lee, and Sungsu Lim*
PeerJ Computer Science, Feb. 2025

2024

[C13] Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network

Jongmin Park, Seunghoon Han, Jong-Ryul Lee*, and Sungsu Lim*
ICDM 2024 · Short Paper · Acceptance Rate: 19.5% (Long + Short)

[J25] Vessel Trajectory Classification via Transfer Learning with Deep Convolutional Neural Networks

Hwan Kim, Mingyu Choi, Sekil Park, and Sungsu Lim*
PLOS ONE, Aug. 2024

[J24] Experimental Analysis and Evaluation of Cohesive Subgraph Discovery

Dahee Kim, Song Kim, Jeongseon Kim, Junghoon Kim*, Kaiyu Feng, Sungsu Lim, and Jungeun Kim
Information Sciences, Jun. 2024

[C12] Hyperbolic Heterogeneous Graph Attention Networks

Jongmin Park, Seunghoon Han, Soohwan Jeong, and Sungsu Lim*
WWW 2024 · Short Paper

[J23] Machine Learning-based Anomaly Detection on Seawater Temperature Data with Oversampling

Hangoo Kang, Dongil Kim, and Sungsu Lim*
Journal of Marine Science and Engineering, May 2024

[J22] SiReN: Sign-Aware Recommendation Using Graph Neural Networks

Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, and Won-Yong Shin*
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), Apr. 2024

[J21] User Tendency Based Rating Scaling in Online Trading Networks

Soohwan Jeong, Jeongseon Kim, Byung Suk Lee, and Sungsu Lim*
PLOS ONE, Apr. 2024

2023

[J20] MIGTNet: Metapath Instance-Based Graph Transformation Network for Heterogeneous Graph Embedding

Jongmin Park, Soohwan Jeong, Byung Suk Lee, and Sungsu Lim*
Future Generation Computer Systems, Dec. 2023

[J19] mr2vec: Multiple Role-based Social Network Embedding

Soohwan Jeong, Jongmin Park, and Sungsu Lim*
Pattern Recognition Letters, Dec. 2023

[C11] Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting

Seunghoon Han, Sungsoo Kim*, and Sungsu Lim*
IEEE BigData 2023 · Poster

[C10] Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic Prediction

Jeongseon Kim, Sungsoo Kim*, and Sungsu Lim*
IEEE BigData 2023 · Poster

[C9] Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach

Dahee Kim, Junghoon Kim*, Sungsu Lim, and Hyun Ji Jeong
CIKM 2023 · Short Paper · Acceptance Rate: 27.4%

[J18] Graph-based Anomaly Detection of Ship Movements Using CCTV Videos

Nakhyeon Seong†, Jeongseon Kim†, and Sungsu Lim*
Journal of Marine Science and Engineering, Oct. 2023

[J17] A Novel Graph-based Missing Values Imputation Method for Industrial Lubricant Data

Soohwan Jeong†, Chonghyo Joo†, Jongkoo Lim, Hyungtae Cho, Sungsu Lim*, and Junghwan Kim*
Computers in Industry, Sep. 2023

[J16] Effective and Efficient Core Decomposition in Signed Networks

Junghoon Kim, Hyun Ji Jeong, Sungsu Lim*, and Jungeun Kim*
Information Sciences, Jul. 2023

[J15] A Framework for Environmental Production of Textile Dyeing Process using Novel Exhaustion-rate Meter and Multi-layer Perceptron-based Prediction Model

Soohwan Jeong†, Jonghun Lim†, Seok Il Hong, Soon Chul Kwon, Jae Yun Shin, Yup Yoo, Hyungtae Cho, Sungsu Lim*, and Junghwan Kim*
Process Safety and Environmental Protection, Jul. 2023

2022

[J14] LUEM: Local User Engagement Maximization in Networks

Junghoon Kim, Jungeun Kim*, Hyun Ji Jeong, and Sungsu Lim*
Knowledge-Based Systems, Nov. 2022

[J13] Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges

Hwan Kim, Byung Suk Lee, Won-Yong Shin, and Sungsu Lim*
IEEE Access, Oct. 2022

[J12] LEHAN: Link-feature Enhanced Heterogeneous Graph Attention Network

Jongmin Park and Sungsu Lim*
IEEE Access, Aug. 2022

[J11] OCSM: Finding Overlapping Cohesive Subgraphs with Minimum Degree

Junghoon Kim, Sungsu Lim*, and Jungeun Kim*
Information Sciences, Aug. 2022

[J10] Link Pruning for Community Detection in Social Networks

Jeongseon Kim, Soohwan Jeong, and Sungsu Lim*
Applied Sciences, Jul. 2022

[C8] (p, n)-Core: Core Decomposition in Signed Networks

Junghoon Kim and Sungsu Lim*
DASFAA 2022 · Short Paper · Acceptance Rate: 36.8% (Long + Short)

2021

[J9] Temporal Patternization of Power Signature for Appliance Classification in NILM

Hwan Kim and Sungsu Lim*
Energies, May 2021

[C7] Cluster-aware Semantic Vector Learning using BERT in Natural Language Understanding

Sangkeun Jung and Sungsu Lim
IEEE BigComp 2021 · Best Paper Award (3rd Place)

2020

[C6] SSumM: Sparse Summarization of Massive Graphs

Kyuhan Lee†, Hyeonsoo Jo†, Jihoon Ko, Sungsu Lim, and Kijung Shin*
KDD 2020 · Research Track · Acceptance Rate: 16.9%

[C5] Meta-learning on Graph with Curvature-based Analysis

Tae-Hong Moon and Sungsu Lim*
AAAI 2020 · Student Abstract · Acceptance Rate: 48.8%

2019

[J8] LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding

Jungeun Kim, Sungsu Lim, Jae-Gil Lee*, and Byung Suk Lee
IEEE Transactions on Knowledge and Data Engineering (TKDE), Nov. 2019
Extended abstract presented at ICDE 2019

[J7] Efficient Spread-size Approximation of Opinion Spreading in General Social Networks

Byeongjin Choe, Yishi Lin, Sungsu Lim, John C.S. Lui, and Kyomin Jung*
Physical Review E, Nov. 2019

Before 2019

[J6] Different Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs

Jungeun Kim, Jae-Gil Lee*, and Sungsu Lim
ACM Transactions on Intelligent Systems and Technology (TIST), Jan. 2017

[J5] Motif-Based Embedding for Graph Clustering

Sungsu Lim and Jae-Gil Lee*
Journal of Statistical Mechanics: Theory and Experiment, Dec. 2016
Qualcomm Innovation Award, 2016

[J4] Phase Transitions for Information Diffusion in Random Clustered Networks

Sungsu Lim, Joongbo Shin, Namju Kwak, and Kyomin Jung*
European Physical Journal B, Sep. 2016

[C4] BlackHole: Robust Community Detection Inspired by Graph Drawing

Sungsu Lim, Junghoon Kim, and Jae-Gil Lee*
ICDE 2016 · Acceptance Rate: 25.0%

[J3] Analysis of Information Diffusion for Threshold Models on Arbitrary Networks

Sungsu Lim, Inwoo Jung, Seulki Lee, and Kyomin Jung*
European Physical Journal B, Aug. 2015

[C3] Triangle Counting in Networks Using the Multi-Level Branching Technique

Jungeun Kim, Minseo Kang, Sungsu Lim, and Jae-Gil Lee*
IEEE BigComp 2015

[J2] Stability of the Max-Weight Protocol in Adversarial Wireless Networks

Sungsu Lim, Kyomin Jung, and Matthew Andrews
IEEE/ACM Transactions on Networking (TON), Dec. 2014

[J1] Modeling Multi-state Diffusion Process in Complex Networks, Theory and Applications

Yishi Lin*, John C.S. Lui, Kyomin Jung, and Sungsu Lim
Journal of Complex Networks, Dec. 2014

[C2] LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation

Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, and Jae-Gil Lee
ICDE 2014 · Acceptance Rate: 20.0%

[C1] Stability of the Max-Weight Protocol in Adversarial Wireless Networks

Sungsu Lim, Kyomin Jung, and Matthew Andrews
INFOCOM 2012 · Acceptance Rate: 18.0%
Samsung Humantech Paper Award, 2012

Workshops, Demos, and Other Publications

[W9] Scaffold-GAT: Grounding Brain Dynamics in Neural Anatomy

Beomjin Kim and Sungsu Lim*
KDD 2026 Undergraduate Consortium

[W8] Toward Reasoning on the Boundary: A Mixup-based Approach for Graph Anomaly Detection

Hwan Kim, Junghoon Kim, and Sungsu Lim*
AAAI 2026 Workshop on GCLR

[W7] Signed Bridge Pruning Framework: Improving Structural Reliability in Financial Knowledge Graphs

Jeongseon Kim, Yeonhee Lee, and Sungsu Lim*
CIKM 2025 Workshop on FinAI

[W6] Hybrid Retrieval-Augmented Generation: Semantic and Structural Integration for Large Language Model Reasoning

Hyewon Lee and Sungsu Lim*
CIKM 2025 Workshop on RDGenAI

[W5] MPR-CiteG: Enhancing RAG with Multi-Portfolio Retrieval and Citation-Grounded Generation

Hyewon Lee†, Minkyung Song†, Junghyun Oh, Seunghoon Han, and Sungsu Lim*
CIKM 2025 Workshop on RDGenAI · ScienceON AI Challenge, 2nd Place

[W4] Diverse Knowledge Selection for Enhanced Zero-shot Visual Question Answering

Seunghoon Han†, Mingyu Choi†, Hyewon Lee, Soyoung Park, Jong-Ryul Lee*, Sungsu Lim*, and Tae-Ho Kim*
WWW 2025 Workshop on EReL@MIR

[D1] Accelerating Speech-Driven Talking Face Generation with 28x Compressed Wav2Lip

Bo-Kyeong Kim*, Jaemin Kang, Daeun Seo, Hancheol Park, Shinkook Choi, Hyoung-Kyu Song, Hyungshin Kim*, and Sungsu Lim*
ICCV 2023 Demo

[W3] A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation

Bo-Kyeong Kim*, Jaemin Kang, Daeun Seo, Hancheol Park, Shinkook Choi, Hyoung-Kyu Song, Hyungshin Kim*, and Sungsu Lim*
MLSys 2023 On-Device Intelligence Workshop
Also presented as a poster at NVIDIA GTC 2023

[W2] TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture

Jin-woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, and Jae-Gil Lee
AAAI 2021 Workshop on Towards Robust, Secure and Efficient Machine Learning

[W1] Phase Transition of Multi-state Diffusion Process in Networks

Sungsu Lim, Kyomin Jung, and John C.S. Lui
SIGMETRICS 2013 Workshop on Mathematical Performance Modeling and Analysis (MAMA)