[2025]
  • ​*new* [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, Jun. 2025. ​(BK21 IF: 1) (acceptance rate: ~25%)
  • *new* [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 (Workshop: EReL@MIR), Apr. 2025.
  • *new* [C14] GRAIL: Graph Retrieval-Augmented In-Context Learning for Node Classification in Real-World Textual-Attributed Graphs
    Chanuk Lim, Kyoung-Ha Lee, Hyun Ji Jeong, and Sungsu Lim*
    EDBT, Mar. 2025. (BK21 IF: 2)
  • [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, accepted. (SCIE, IF: 1.0, Q3)
  • [J26] Dynamic Periodic Event Graphs for Multivariate Time Series Pattern Prediction
    SoYoung Park, Hyewon Lee, and Sungsu Lim*
    PeerJ Computer Science, Feb. 2025. (SCIE, IF: 3.5, Q1)

​[2024]
  • [C13] Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network
    Jongmin Park, Seunghoon Han, Jong-Ryul Lee*, and Sungsu Lim*
    IEEE ICDM, Dec. 2024. (BK21 IF: 3, short) (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 (SCIE, IF: 2.9, Q1)
  • [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. (SCIE, IF: N/A)
  • [C12] Hyperbolic Heterogeneous Graph Attention Networks
    Jongmin Park, Seunghoon Han, Soohwan Jeong, and Sungsu Lim*
    ACM WWW, May 2024. (BK21 IF 4, short)
  • [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. (SCIE, IF: 2.7, Q1)
  • [J22] SiReN: Sign-Aware Recommendation Using Graph Neural Networks
    Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, and Won-Yong Shin*
    IEEE TNNLS, Apr. 2024. (SCIE, IF: 10.2, 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. (SCIE, IF: 2.9, Q1)

​[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. (SCIE, IF: 6.2, Q1)
  • [J19] mr2vec: Multiple Role-based Social Network Embedding
    Soohwan Jeong, Jongmin Park, and Sungsu Lim*
    Pattern Recognition Letters, Dec. 2023. (SCIE, IF: 3.9, Q2)
  • [C11] ​Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting
    Seunghoon Han, Sungsoo Kim*, and Sungsu Lim*
    IEEE BigData (Poster), Dec. 2023.
  • [C10] Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic Prediction
    ​Jeongseon Kim, Sungsoo Kim*, and Sungsu Lim*
    IEEE BigData (Poster), Dec. 2023.
  • ​[C9] Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach
    Dahee Kim, Junghoon Kim*, Sungsu Lim, and Hyun Ji Jeong
    ACM CIKM, Oct. 2023. (BK21 IF 3, short) (acceptance rate: 27.4%, short)
  • [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. (SCIE, IF: 2.7, Q1)
  • [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 (Demo), Oct. 2023. (BK21 IF 4, demo)
  • [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. (SCIE, 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. (SCIE, IF: N/A)
  • [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. (SCIE, IF: 6.9, Q1)
  • [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 (Workshop: On-Device Intelligence Workshop), Jun. 2023.
    & NVIDIA GTC (Poster), Mar. 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. (SCIE, 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. (SCIE, IF: 3.9, Q2) (# of citations > 50)
  • [J12] LEHAN: Link-feature Enhanced Heterogeneous Graph Attention Network
    Jongmin Park and Sungsu Lim*
    IEEE Access, Aug. 2022. (SCIE, IF: 3.9, Q2)
  • [J11] OCSM: Finding Overlapping Cohesive Subgraphs with Minimum Degree
    Junghoon Kim, Sungsu Lim*, and Jungeun Kim*
    Information Sciences, Aug. 2022. (SCIE, IF: 8.1, Q1)
  • [J10] Link Pruning for Community Detection in Social Networks
    Jeongseon Kim, Soohwan Jeong, and Sungsu Lim*
    Applied Sciences, Jul. 2022. (SCIE, IF: 2.7, Q2)
  • [C8] (p, n)-Core: Core Decomposition in Signed Networks
    Junghoon Kim and Sungsu Lim*
    DASFAA, Apr. 2022. (BK21 IF 1, short) (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. (SCIE, IF: 3.252, Q3)
  • [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 (Workshop: Towards Robust, Secure and Efficient Machine Learning), Feb. 2021.
  • [C7] Cluster-aware Semantic Vector Learning using BERT in Natural Language Understanding
    Sangkeun Jung and Sungsu Lim
    IEEE BigComp, Jan. 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*
    ACM SIGKDD, Aug. 2020. (BK21 IF 4) (acceptance rate: 16.9%, research track) (# of citations > 50)
  • [C5] Meta-learning on Graph with Curvature-based Analysis
    Tae-Hong Moon and Sungsu Lim*
    AAAI (Student Abstract), Feb. 2020. (acceptance rate: 48.8%, student abstract)

[2019]
  • [J8] LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding
    Jungeun Kim, Sungsu Lim, Jae-Gil Lee*, and Byung Suk Lee
    IEEE TKDE, Nov. 2019. (SCIE, IF: 4.935, Q1)
    & IEEE ICDE (Extended Abstract), Apr. 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. (SCIE, 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 TIST, Jan. 2017. (SCIE, 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. (SCIE, IF: 2.196, Q1) (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. (SCIE, IF: 1.436, Q3)
  • [C4] BlackHole: Robust Community Detection Inspired by Graph Drawing
    Sungsu Lim, Junghoon Kim, and Jae-Gil Lee*
    IEEE ICDE, May 2016. (BK21 IF 3) (acceptance rate: 25.0%) (KAIST Breakthroughs, Spring 2016)
  • [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. (SCIE, 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, Feb. 2015.
  • [J2] Stability of the Max-Weight Protocol in Adversarial Wireless Networks
    ​Sungsu Lim, Kyomin Jung, and Matthew Andrews
    IEEE/ACM TON, Dec. 2014. (SCIE, 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
    IEEE ICDE, Apr. 2014. (BK21 IF 3) (acceptance rate: 20.0%) (# of citations > 100)
  • [W1] Phase Transition of Multi-state Diffusion Process in Networks
    Sungsu Lim, Kyomin Jung, and John C.S. Lui
    ACM SIGMETRICS (Workshop: Workshop on Mathematical Performance Modeling and Analysis, MAMA), Jun. 2013.
  • [C1] Stability of the Max-Weight Protocol in Adversarial Wireless Networks
    Sungsu Lim, Kyomin Jung, and Matthew Andrews
    IEEE INFOCOM, Mar. 2012. (BK21 IF 4) (acceptance rate: 18.0%) (Samsung humantech paper award, 2012)
​​
[Selected Coauthors]