Journal Publications

  1. 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), accepted [code] (SCIE, 2021 IF: 14.255 (Q1))
  2. 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, 150:103937, Sep. 2023 (SCIE, 2021 IF: 11.245 (Q1))
  3. ​Effective and Efficient Core Decomposition in Signed Networks
    Junghoon Kim, Hyun Ji Jeong, Sungsu Lim, and Jungeun Kim
    ​​Information Sciences, 634:290-307, Jul. 2023 (SCIE, 2021 IF: 8.233 (Q1))
  4. 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 Shim, Yup Yoo, Hyungtae Cho, Sungsu Lim, and Junghwan Kim
    Process Safety and Environmental Protection, 175:99-110, Jul. 2023 (SCIE, 2021 IF: 7.926 (Q1))
  5. LUEM: Local User Engagement Maximization in Networks
    Junghoon Kim, Jungeun Kim, Hyun Ji Jeong, and Sungsu Lim
    ​Knowledge-Based Systems, 255:109788, Nov. 2022 (SCIE, 2021 IF: 8.139 (Q1))
  6. Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges
    Hwan Kim, Byung Suk Lee, Won-Yong Shin, and Sungsu Lim
    IEEE Access, 10:111820-111829, Oct. 2022 (SCIE, 2021 IF: 3.476 (Q2))
  7. LEHAN: Link-feature Enhanced Heterogeneous Graph Attention Network
    Jongmin Park and Sungsu Lim
    ​IEEE Access, 10:86248-86255, Aug. 2022 (SCIE, 2021 IF: 3.476 (Q2))
  8. OCSM: Finding Overlapping Cohesive Subgraphs with Minimum Degree
    Junghoon Kim, Sungsu Lim, and Jungeun Kim
    Information Sciences, 607:585-602, Aug. 2022 (SCIE, 2021 IF: 8.233 (Q1))
  9. Link Pruning for Community Detection in Social Networks
    Jeongseon Kim, Soohwan Jeong, and Sungsu Lim
    Applied Sciences, 12(13):6811, Jul. 2022 (SCIE, 2021 IF: 2.838 (Q2))
  10. Temporal Patternization of Power Signature for Appliance Classification in NILM
    Hwan Kim and Sungsu Lim
    Energies, 14(10):2931, May 2021 (SCIE, 2021 IF: 3.252 (Q3))
  11. 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), 31(11):2138-2150, Nov. 2019 (SCIE, 2019 IF: 4.935 (Q1))
  12. 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, 100:052311, Nov. 2019 (SCIE, 2019 IF: 2.296 (Q1))
  13. Differential 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), 8(2):27, Jan. 2017 (SCIE, 2017 IF: 2.973 (Q1))
  14. Motif-Based Embedding for Graph Clustering
    Sungsu Lim and Jae-Gil Lee
    Journal of Statistical Mechanics: Theory and Experiment, 2016:123401, Dec. 2016 (SCIE, 2016 IF: 2.196 (Q1))
  15. Phase Transitions for Information Diffusion in Random Clustered Networks
    Sungsu Lim, Joongbo Shin, Namju Kwak, and Kyomin Jung
    European Physical Journal B, 89(9):188, Sep. 2016 (SCIE, 2016 IF: 1.436 (Q3))
  16. Analysis of Information Diffusion for Threshold Models on Arbitrary Networks
    Sungsu Lim, Inwoo Jung, Seulki Lee, and Kyomin Jung
    European Physical Journal B, 88(8):201, Aug. 2015 (SCIE, 2015 IF: 1.223 (Q3))
  17. Stability of the Max-Weight Protocol in Adversarial Wireless Networks
    Sungsu Lim, Kyomin Jung, and Matthew Andrews
    IEEE/ACM Transactions on Networking (TON), 22(6):1859-1872, Dec. 2014 (SCIE, 2014 IF: 1.811 (Q1))
  18. 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, 2(4):341-359, Dec. 2014
  19. Phase Transition of Multi-state Diffusion Process in Networks
    Sungsu Lim, Kyoming Jung, and John C.S. Lui
    ACM SIGMETRICS Performance Evaluation Review, 41(3):31-33, Jan. 2014
* JCR Impact Factor (IF): [web]

Conference Proceedings

  1. Development of Dye Exhaustion Behavior Prediction Model using Deep Neural Network
    Jonghun Lim, Soohwan Jeong, Sungsu Lim, Hyungtae Cho, Jae Yun Shim, Seok Il Hong, Soon Chul Kwon, Heedong Lee, Il Moon, and Junghwan Kim
    ​PSE 2021+, Jun. 2022
  2. (p, n)-Core: Core Decomposition in Signed Networks
    Junghoon Kim and Sungsu Lim
    DASFAA 2022, Apr. 2022 (BK21, 인정 IF: 1)
  3. Cluster-aware Semantic Vector Learning using BERT in Natural Language Understanding
    Sangkeun Jung and Sungsu Lim
    IEEE BigComp 2021, Jan. 2021 (best paper - 3rd place)
  4. SSumM: Sparse Summarization of Massive Graphs
    Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, and Kijung Shin
    ACM SIGKDD 2020, Aug. 2020 [code] (BK21, 인정 IF: 4)
  5. Meta-learning on Graph with Curvature-based Analysis
    Tae-Hong Moon and Sungsu Lim
    AAAI 2020 (student abstract), Feb. 2020
  6. LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding
    Jungeun Kim, Sungsu Lim, Jae-Gil Lee, and Byung Suk Lee
    IEEE ICDE 2019 (extended abstract), Apr. 2019
  7. BlackHole: Robust Community Detection Inspired by Graph Drawing
    Sungsu Lim, Junghoon Kim, and Jae-Gil Lee
    IEEE ICDE 2016, May 2016 [code] (BK21, 인정 IF: 3)
  8. Triangle Counting in Networks Using the Multi-Level Branching Technique
    Jungeun Kim, Minseo Kang, Sungsu Lim, and Jae-Gil Lee
    IEEE BigComp 2015, Feb. 2015
  9. LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation
    Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, and Jae-Gil Lee
    IEEE ICDE 2014, Apr. 2014 (BK21, 인정 IF: 3)
  10. Stability of the Max-Weight Protocol in Adversarial Wireless Networks
    Sungsu Lim, Kyomin Jung, and Matthew Andrews
    IEEE INFOCOM 2012, Mar. 2012 (BK21, 인정 IF: 4)
* Top CS conference list based on BK21, NRF Korea: [web]

Workshops & Presentations

  1. 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
    ODIW@MLSys 2023, Jun. 2023 [code]
    - Also, appeared in NVIDIA GTC 2023, Poster: Lightweight, Fast, and Accurate Speech-Driven Talking-Face Generation
  2. Role-based Multi-aspect Network Embedding
    Soohwan Jeong and Sungsu Lim
    INFORMS Annual Meeting 2021, Oct. 2021
  3. Scaling Graph Neural Networks With Biased Random Walk Based Graph Sampling
    Yeong Cheol Kim and Sungsu Lim
    INFORMS Annual Meeting 2021, Oct. 2021
  4. TornadoAggregate: Accurate and Scalable Federated Learning via th Ring-Based Architecture
    Jin-woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, and Jae-Gil Lee
    RSEML@AAAI 2021, Feb. 2021
  5. Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications
    Yishi Lin, John C.S. Lui, Kyomin Jung, and Sungsu Lim
    Complex Networks 2013, Dec. 2013
  6. Phase Transition of Multi-state Diffusion Process in Networks
    Sungsu Lim, Kyoming Jung, and John C.S. Lui
    MAMA@ACM SIGMETRICS 2013, Jun. 2013
  7. Generalized Mean-Field Approximation for Opinion Spreading in Social Networks
    Sungsu Lim and Kyomin Jung
    Interdisciplinary Workshop on Information and Decision in Social Networks (WIDS), Nov. 2012
  8. Analysis of Information Diffusion on Threshold Models in Arbitrary Social Networks
    Kyomin Jung, Seulki Lee, and Sungsu Lim
    Workshop on Information in Networks (WIN), Sep. 2012
  9. Tipping Point of Information Spreading in Random Clustered Networks with Heterogeneous Contact Rates
    Sungsu Lim and Kyomin Jung
    CompleNet 2012, Mar. 2012

Domestic Papers

  1. 도시 네트워크의 교통 데이터 개선을 통한 그래프 딥러닝 모델 성능 분석
    최민규, 한승훈, 김정선, 임성수
    KSC 2022, 2022년 12월
  2. 감시 영상을 활용한 이동 선박의 이상 탐지
    성낙현, 김정선, 임성수
    CEIC 2022, 2022년 12월
  3. PageRank 알고리즘을 활용한 미생물 네트워크에서의 간선 중요도 추정
    신섭재, 심동환, 임성수
    KCC 2022, 2022년 6월
  4. 소셜 네트워크의 참여도에 기반한 핵심 사용자의 동적 식별
    김정선, 김정훈, 임성수
    KSC 2021, 2021년 12월 (우수발표논문상)
  5. 역할 정보를 반영한 다중 네트워크 임베딩
    정수환, 성낙현, 김정환, 임성수
    KSC 2021, 2021년 12월
  6. k-NN과 그래프 신경망을 이용한 하이브리드 시퀀셜 추천시스템
    구호근, 이수민, 조원근, 임성수, 김동일
    KSC 2021, 2021년 12월
  7. 이종 그래프 표현 학습을 위한 링크 특징이 강화된 그래프 어텐션 네트워크
    박종민, 강다현, 임성수
    ​KDBC 2021, 2021년 11월 (우수논문상 금상)
  8. 링크 속성 기반 분류를 통한 커뮤니티 발견
    김정선, 정수환, 임성수
    정보과학회논문지, 2021년 8월
  9. 그래프 링크 속성 분류를 통한 커뮤니티 발견
    김정선, 임성수
    KSC 2020, 2020년 12월 (우수논문상)
  10. 그래프 클러스터링을 위한 삼각 분할 기반 임베딩
    정수환, 박종민, 임성수
    KSC 2019, 2019년 12월 (학부생논문 장려상)
  11. 딥러닝 모델 압축 기술을 활용한 시각장애인 대화 보조용 감정 인식 어플리케이션
    심규영, 최소영, 유태하, 채명수, 김태호, 임성수
    KSC 2019, 2019년 12월
  12. 연속 신호 임베딩을 통한 복합 이벤트 탐지
    김환, 김형신, 임성수
    CEIC 2019, 2019년 12월
  13. Transformation-Based Community Detection from Social Networks
    임성수, 이재길
    JCCI 2016, 2016년 4월 (초청논문)
  14. 소셜 네트워크 내 정보 확산 최적화 및 상전이 현상 연구
    임성수, 김현아, 허우람, 정교민
    정보과학회지, 2011년 11월

Preprints

  1. ​MIGTNet: Metapath Instance-Based Heterogeneous Graph Transformation Network
    Jongmin Park, Soohwan Jeong, Byung Suk Lee, and Sungsu Lim
    ​Future Generation Computer Systems, in revision (SCIE, 2021 IF: 7.307 (Q1))
  2. User Tendency Based Rating Scaling in Online Trading Networks
    Soohwan Jeong, Jeongseon Kim, Byung Suk Lee, and Sungsu Lim
    Machine Learning, under review (SCIE, 2021 IF: 5.414 (Q2))
  3. (A Survey on Cohesive Subgraph Discovery)
    Junghoon Kim et al.
    Int'l Conf., under review (BK21, 인정 IF: 4)
Please visit [google scholar] for more information.