DILAB - Homepage

Data Intelligence Lab

Chungnam National University

We aim to conduct meaningful research in data intelligence and share our work at leading venues.

DILAB members · * 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-Extracted Signed 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, Under Review

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[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, Under Review

[J] Understanding Clustering Behaviour through Structural Similarity Design in SCAN-based Graph Clustering

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

ACM Transactions on Knowledge Discovery from Data, Submitted

[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)

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 fairness in GNNs)

Soyoung Park, Yeon-Chang Lee, and Sungsu Lim*

Top-tier Conference · Regular Paper · Submitted

[C] (Work on KV cache translation)

Jin-woo Lee, Minkyung Song†, Junghyun Oh†, Seunghoon Han, Gwangseon Jang, Soyoung Park, and Sungsu Lim

Top-tier Conference · Regular Paper · Submitted

[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 · Short 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 retrieval-augmented classification with LLM)

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

Preprint

2026

[C25] SIMBAD: Spatio-Temporal Traffic Forecasting Robust to Aperiodicity

Daniel Y. Lee, Seungwon Shin, Seunghoon Han, Sungsu Lim*, and Susik Yoon*

NeurIPS · Regular Paper · Acceptance Rate: 25.7%

[J36] Data-Driven Prediction of Total Ionization Cross Sections for Small Molecules Using Graph Neural Networks

Jun-Hyoung Park, Young Choon Park, Hyunu Chang, Heechol Choi, Sunghwan Choi, and Sungsu Lim*

Plasma Sources Science and Technology, Accepted IF 3.5 · Q1

[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 IF 8.0 · Q1

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

Hyewon Lee and Sungsu Lim*

Applied Sciences, Feb. 2026 IF 2.9 · Q2

[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 IF 9.4 · Q1

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 IF 8.0 · Q1

[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 IF 2.9 · Q2

[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 IF 9.4 · Q1

[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 IF 8.0 · Q1

[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 IF 4.2 · Q2

[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 IF 1.3 · Q3

[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 IF 2.9 · Q2

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 IF 2.6 · Q2

[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 IF 6.8 · Q1

[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 IF 2.8 · Q2

[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 IF 8.9 · Q1

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

Soohwan Jeong, Jeongseon Kim, Byung Suk Lee, and Sungsu Lim*

PLOS ONE, Apr. 2024 IF 2.6 · Q2

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 IF 6.2 · Q1

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

Soohwan Jeong, Jongmin Park, and Sungsu Lim*

Pattern Recognition Letters, Dec. 2023 IF 3.9 · Q2

[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 IF 2.7 · Q1

[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 IF 8.2 · Q1

[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 IF 6.9 · Q1

2022

[J14] LUEM: Local User Engagement Maximization in Networks

Junghoon Kim, Jungeun Kim*, Hyun Ji Jeong, and Sungsu Lim*

Knowledge-Based Systems, Nov. 2022 IF 8.8 · Q1

[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 IF 3.9 · Q2

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

Jongmin Park and Sungsu Lim*

IEEE Access, Aug. 2022 IF 3.9 · Q2

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

Junghoon Kim, Sungsu Lim*, and Jungeun Kim*

Information Sciences, Aug. 2022 IF 8.1 · Q1

[J10] Link Pruning for Community Detection in Social Networks

Jeongseon Kim, Soohwan Jeong, and Sungsu Lim*

Applied Sciences, Jul. 2022 IF 2.7 · Q2

[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 IF 3.252 · Q3

[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 IF 4.935 · Q1

Also presented as an extended abstract 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 IF 2.296 · Q1

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 IF 2.973 · Q1

[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 IF 2.196 · Q1

[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 IF 1.436 · Q3

[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 IF 1.223 · Q3

[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 IF 1.811 · Q1

[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

Selected Workshops & Demos

[W10] Mixture-of-Translators: Scalable Memory Reuse across Heterogeneous LLM Agents

Jin-woo Lee†, Junghyun Oh†, Minkyung Song†, Seunghoon Han, Gwangseon Jang, Soyoung Park, and Sungsu Lim

NeurIPS 2026 AgenticOS Workshop

[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)

Domestic Publications

[K34] 구조 기하 정보를 활용한 바이러스의 면역 회피 변이 예측

송민경†, 이관희†, 손동현, 임성수*, 강남숙*

KDBC 2026 · Work-in-Progress · November 2026

[K33] 이종 그래프 기반 과학기술인 교육 플랫폼의 롱테일 과정 추천

민세미, 임성수*

KDBC 2026 · Work-in-Progress · November 2026

[K32] ACE-RAG: Is Broader Retrieval Always Better for GraphRAG? [link]

오정현, 이진우, 임성수*

2026 한국인공지능학회 하계학술대회 · 포스터세션 · August 2026

[K31] MOSAIC: Graph Recommendation via Mixture-of-Experts with LLM-based Community-Aware Intent and Conformity [link]

송민경, 이진우, 임성수*

2026 한국인공지능학회 하계학술대회 · 포스터세션 · August 2026

[K30] Node-Gated Multi-level Fairness for Graph Neural Networks [link]

박소영, 임성수*

2026 한국인공지능학회 하계학술대회 · 포스터세션 · August 2026

[K29] 대규모 언어 모델을 활용한 멀티 뷰 학습 기반의 추천 시스템 [link]

송민경, 박소영, 임성수*

KDBC 2025 · November 2025 · 🏆 우수논문상 동상

[K28] 계층 인지 GraphRAG를 위한 하이퍼볼릭 리랭킹 [link]

오정현, 임성수*

KDBC 2025 · Work-in-Progress · November 2025

[K27] 이종 그래프 기반 구조적 정보 활용과 문맥적 정렬을 통한 다중 레이블 텍스트 분류 [link]

정수환, 박종민, 김준영*, 윤수식*, 임성수*

HCLT 2025 · October 2025

[K26] 비볼록 벌점화 분위수 회귀를 통한 그래프 신경망 신뢰성 향상 [link]

박소영, 임성수

KSC 2024 · December 2024

[K25] 도로 환경에서 LLM 기반 제로샷 이상 분할을 위한 방법론 [link]

이혜원, 박소영, 송민경, 임성수

KSC 2024 · December 2024

[K24] AI 기반 스마트정수장 사이버위협 탐지 [link]

박지용, 임성수

제56회 한국정보통신학회 추계종합학술대회 · October 2024

[K23] Graph-Mamba 기반 POI 추천 시스템 [link]

최민규, 임성수

제5회 한국인공지능학술대회 · September 2024 · 🏆 우수논문상

[K22] 교통 예측을 위한 기계학습 기술 연구 동향 [link]

한승훈, 김정선, 임성수

정보과학회지 · March 2024 · 데이터 인텔리전스 특집호

[K21] 준지도 대조 학습 기법을 활용한 그래프 이상 탐지 [link]

김환, 임성수

데이타베이스연구 · December 2023 · KCI

[K20] 그래프 딥러닝 기반 교통 예측을 위한 데이터 결측치 대치 성능 비교 [link]

한승훈, 김정선, 이혜원, 김성수, 임성수

KSC 2023 · December 2023

[K19] 사전학습 언어 모델을 이용한 법인세 조세심판 결정 예측 모델 연구 [link]

배은형, 박소영, 임성수

KDBC 2023 · November 2023

[K18] 클래스 불균형 해결을 위한 Diffusion Model 기반 Oversampling [link]

장건희, 조원근, 임성수, 김동일

KCC 2023 · June 2023

[K17] 응집성을 가지는 서브그래프 식별 기술의 최신 연구 동향 [link]

김다희, 김정훈, 임성수

전자공학회지 · June 2023 · 인공지능과 데이터사이언스 기술을 활용한 ICT 융합 특집호

[K16] 도시 네트워크의 교통 데이터 개선을 통한 그래프 딥러닝 모델 성능 분석 [link]

최민규, 한승훈, 김정선, 임성수

KSC 2022 · December 2022

[K15] 감시 영상을 활용한 이동 선박의 이상 탐지 [link]

성낙현, 김정선, 임성수

CEIC 2022 · December 2022

[K14] 문자 기반 유사도 알고리즘을 활용한 비정제 도로명주소 필드 전처리 프레임워크 연구 [link]

박필민, 임성수

KDBC 2022 · November 2022

[K13] PageRank 알고리즘을 활용한 미생물 네트워크에서의 간선 중요도 추정 [link]

신섭재, 심동환, 임성수

KCC 2022 · June 2022

[K12] 소셜 네트워크의 참여도에 기반한 핵심 사용자의 동적 식별 [link]

김정선, 김정훈, 임성수

KSC 2021 · December 2021 · 🏆 우수발표논문상

[K11] 역할 정보를 반영한 다중 네트워크 임베딩 [link]

정수환, 성낙현, 김정환, 임성수

KSC 2021 · December 2021

[K10] k-NN과 그래프 신경망을 이용한 하이브리드 시퀀셜 추천시스템 [link]

구호근, 이수민, 조원근, 임성수, 김동일

KSC 2021 · December 2021

[K9] 이종 그래프 표현 학습을 위한 링크 특징이 강화된 그래프 어텐션 네트워크 [link]

박종민, 강다현, 임성수

KDBC 2021 · November 2021 · 🏆 우수논문상 금상

[K8] 링크 속성 기반 분류를 통한 커뮤니티 발견 [link]

김정선, 정수환, 임성수

정보과학회논문지 · August 2021 · KCI

[K7] 분류를 위한 차등 프라이버시 보호 연합 학습 [link]

조승현, 이상화, 김수민, 김주희, 채명수, 임성수

KICS Winter 2021 · February 2021

[K6] 그래프 링크 속성 분류를 통한 커뮤니티 발견 [link]

김정선, 임성수

KSC 2020 · December 2020 · 🏆 우수논문상

[K5] 그래프 클러스터링을 위한 삼각 분할 기반 임베딩 [link]

정수환, 박종민, 임성수

KSC 2019 · December 2019 · 🏆 학부생 논문경진대회 장려상

[K4] 딥러닝 모델 압축 기술을 활용한 시각장애인 대화 보조용 감정 인식 어플리케이션 [link]

심규영, 최소영, 유태하, 채명수, 김태호, 임성수

KSC 2019 · December 2019

[K3] 연속 신호 임베딩을 통한 복합 이벤트 탐지

김환, 김형신, 임성수

CEIC 2019 · December 2019

[K2] Transformation-Based Community Detection from Social Networks

임성수, 이재길

JCCI 2016 · April 2016 · Invited Paper

[K1] 소셜 네트워크 내 정보 확산 최적화 및 상전이 현상 연구 [link]

임성수, 김현아, 허우람, 정교민

정보과학회지 · November 2011 · SNS 특집호