A research on the investigation method of digital forensics for a VMware Workstation's virtual machine. - Sungsu Lim; Byeongyeong Yoo; Jungheum Park; KeunDuck Byun; Sangjin Lee 002 (Math. Comput. Model., 2012)

A study on multimedia file carving method. - Byeongyeong Yoo; Jungheum Park; Sungsu Lim; Jewan Bang; Sangjin Lee 002 (Multim. Tools Appl., 2012)

Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications. - Yishi Lin; John C. S. Lui; Kyomin Jung; Sungsu Lim (SITIS, 2013)

Phase transition of multi-state diffusion process in networks. - Sungsu Lim; Kyomin Jung; John C. S. Lui (SIGMETRICS Perform. Evaluation Rev., 2013)

LinkSCAN*: Overlapping community detection using the link-space transformation. - Sungsu Lim; Seungwoo Ryu; Sejeong Kwon; Kyomin Jung; Jae-Gil Lee 001 (ICDE, 2014)

Modelling multi-state diffusion process in complex networks: theory and applications. - Yishi Lin; John C. S. Lui; Kyomin Jung; Sungsu Lim (J. Complex Networks, 2014)

Stability of the Max-Weight Protocol in Adversarial Wireless Networks. - Sungsu Lim; Kyomin Jung; Matthew Andrews (IEEE/ACM Trans. Netw., 2014)

Triangle counting in networks using a multi-level branching technique. - Jungeun Kim; Minseo Kang; Sungsu Lim; Jae-Gil Lee 001 (BigComp, 2015)

BlackHole: Robust community detection inspired by graph drawing. - Sungsu Lim; Junghoon Kim 007; Jae-Gil Lee 001 (ICDE, 2016)

Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs. - Jungeun Kim; Jae-Gil Lee 001; Sungsu Lim (ACM Trans. Intell. Syst. Technol., 2017)

Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces. - Sungsu Lim; Ajin Joseph 001; Lei Le; Yangchen Pan; Martha White (CoRR, 2018)

LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract). - Jungeun Kim; Sungsu Lim; Jae-Gil Lee 001; Byung Suk Lee 001 (ICDE, 2019)

LinkBlackHole**: Robust Overlapping Community Detection Using Link Embedding. - Jungeun Kim; Sungsu Lim; Jae-Gil Lee 001; Byung Suk Lee 001 (IEEE Trans. Knowl. Data Eng., 2019)

Meta-Learning on Graph with Curvature-Based Analysis (Student Abstract). - Tae Hong Moon; Sungsu Lim (AAAI, 2020)

Maximizing Information Gain in Partially Observable Environments via Prediction Rewards. - Yash Satsangi; Sungsu Lim; Shimon Whiteson; Frans A. Oliehoek; Martha White (AAMAS, 2020)

SSumM: Sparse Summarization of Massive Graphs. - Kyuhan Lee; Hyeonsoo Jo; Jihoon Ko; Sungsu Lim; Kijung Shin (KDD, 2020)

Maximizing Information Gain in Partially Observable Environments via Prediction Reward. - Yash Satsangi; Sungsu Lim; Shimon Whiteson; Frans A. Oliehoek; Martha White (CoRR, 2020)

TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. - Jin-Woo Lee; Jaehoon Oh; Sungsu Lim; Se-Young Yun; Jae-Gil Lee 001 (CoRR, 2020)

Cluster-aware Semantic Vector Learning using BERT in Natural Language Understanding. - Sangkeun Jung; Sungsu Lim (BigComp, 2021)

(p, n)-core: Core Decomposition in Signed Networks. - Junghoon Kim 007; Sungsu Lim (DASFAA (1), 2022)

Graph Anomaly Detection With Graph Neural Networks: Current Status and Challenges. - Hwan Kim; Byung Suk Lee 001; Won-Yong Shin; Sungsu Lim (IEEE Access, 2022)

LEHAN: Link-Feature Enhanced Heterogeneous Graph Attention Network. - Jongmin Park; Sungsu Lim (IEEE Access, 2022)

Effective and Efficient Core Decomposition in Signed Networks. - Junghoon Kim 007; Sungsu Lim; Jungeun Kim (CoRR, 2022)

OCSM : Finding overlapping cohesive subgraphs with minimum degree. - Junghoon Kim 007; Sungsu Lim; Jungeun Kim (Inf. Sci., 2022)

Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences. - Alan Chan 001; Hugo Silva; Sungsu Lim; Tadashi Kozuno; A. Rupam Mahmood; Martha White (J. Mach. Learn. Res., 2022)

LUEM : Local User Engagement Maximization in Networks. - Junghoon Kim 007; Jungeun Kim; Hyun Ji Jeong; Sungsu Lim (Knowl. Based Syst., 2022)

Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting. - Seunghoon Han; Sungsoo Kim; Sungsu Lim (IEEE Big Data, 2023)

Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic Prediction. - Jeongseon Kim; Sungsoo Kim; Sungsu Lim (IEEE Big Data, 2023)

Exploring Cohesive Subgraphs in Hypergraphs: The (k, g)-core Approach. - Dahee Kim; Junghoon Kim 007; Sungsu Lim; Hyun Ji Jeong (CIKM, 2023)

Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement. - Samuel Neumann; Sungsu Lim; Ajin George Joseph; Yangchen Pan; Adam White 001; Martha White (ICLR, 2023)

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; Sungsu Lim (CoRR, 2023)

Deep Semi-supervised Anomaly Detection with Metapath-based Context Knowledge. - Hwan Kim; Junghoon Kim 007; Byung Suk Lee 001; Sungsu Lim (CoRR, 2023)

Effective and efficient core computation in signed networks. - Junghoon Kim 007; Hyun Ji Jeong; Sungsu Lim; Jungeun Kim (Inf. Sci., 2023)

A novel graph-based missing values imputation method for industrial lubricant data. - Soohwan Jeong; Chonghyo Joo; Jongkoo Lim; Hyungtae Cho; Sungsu Lim; Junghwan Kim (Comput. Ind., 2023)

MIGTNet: Metapath Instance-based Graph Transformation Network for heterogeneous graph embedding. - Jongmin Park; Soohwan Jeong; Byung Suk Lee; Sungsu Lim (Future Gener. Comput. Syst., 2023)

mr2vec: Multiple role-based social network embedding. - Soohwan Jeong; Jongmin Park; Sungsu Lim (Pattern Recognit. Lett., 2023)

Multi-Hyperbolic Space-Based Heterogeneous Graph Attention Network. - Jongmin Park; Seunghoon Han; Jong-Ryul Lee; Sungsu Lim (ICDM, 2024)

Hyperbolic Heterogeneous Graph Attention Networks. - Jongmin Park; Seunghoon Han; Soohwan Jeong; Sungsu Lim (WWW (Companion Volume), 2024)

ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection. - Hwan Kim; Junghoon Kim; Sungsu Lim (CoRR, 2024)

Beyond Trivial Edges: A Fractional Approach to Cohesive Subgraph Detection in Hypergraphs. - Hyewon Kim; Woocheol Shin; Dahee Kim; Junghoon Kim; Sungsu Lim; Hyunji Jeong (CoRR, 2024)

Experimental analysis and evaluation of cohesive subgraph discovery. - Dahee Kim; Song Kim; Jeongseon Kim; Junghoon Kim 007; Kaiyu Feng; Sungsu Lim; Jungeun Kim (Inf. Sci., 2024)

SiReN: Sign-Aware Recommendation Using Graph Neural Networks. - Changwon Seo; Kyeong-Joong Jeong; Sungsu Lim; Won-Yong Shin (IEEE Trans. Neural Networks Learn. Syst., 2024)

GRAIL: Graph Retrieval-Augmented In-Context Learning for Node Classification in Real-World Textual-Attributed Graphs. - Chanuk Lim; Kyong-Ha Lee; Hyun Ji Jeong; Sungsu Lim (EDBT, 2025)

Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation. - SoYoung Park; Hyewon Lee; Mingyu Choi; Seunghoon Han; Jong-Ryul Lee; Sungsu Lim; Tae-Ho Kim (PAKDD (5), 2025)

Diverse Knowledge Selection for Enhanced Zero-shot Visual Question Answering. - Seunghoon Han; Mingyu Choi; Hyewon Lee; SoYoung Park; Jong-Ryul Lee; Sungsu Lim; Tae-Ho Kim (WWW (Companion Volume), 2025)

Succinct Link Transformation-Based Overlapping Community Detection Framework for Social Network Analysis. - Seungwoo Ryu; Sungsu Lim; Seungsoo Yoo; Sun Yong Kim (IEEE Access, 2025)

LLM-powered scene graph representation learning for image retrieval via visual triplet-based graph transformation. - Soohwan Jeong; Jongmin Park; Mingyu Choi; Yongjin Kwon; Sungsu Lim (Expert Syst. Appl., 2025)

Beyond trivial edges: A fractional approach to cohesive subgraph detection in hypergraphs. - Hyewon Kim; Woocheol Shin; Dahee Kim; Junghoon Kim 007; Sungsu Lim; Hyun Ji Jeong (Knowl. Based Syst., 2025)

Dynamic Periodic Event Graphs for multivariate time series pattern prediction. - SoYoung Park; Hyewon Lee; Sungsu Lim (PeerJ Comput. Sci., 2025)

Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding. - Jongmin Park; Seunghoon Han; Won-Yong Shin; Sungsu Lim (CoRR, 2025)

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; Sungsu Lim (CoRR, 2025)

Experimental Analysis and Evaluation of Cohesive Subgraph Discovery. - Dahee Kim; Song Kim; Jeongseon Kim; Junghoon Kim; Kaiyu Feng; Sungsu Lim; Jungeun Kim (CoRR, 2025)

Label-based graph augmentation with metapath for graph anomaly detection. - Hwan Kim; Junghoon Kim 007; Byung Suk Lee; Sungsu Lim (Expert Syst. Appl., 2026)