Sungsu Lim - RankMe

74 papers A* 9A 5B 3Journal 50Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hyperbolic Heterogeneous Graph Transformer. CoRR Jongmin Park, Seunghoon Han, Hyewon Lee, Won-Yong Shin, Sungsu Lim
2026	J	`jnl`	Label-based graph augmentation with metapath for graph anomaly detection. Expert Syst. Appl. Hwan Kim, Junghoon Kim, Byung Suk Lee, Sungsu Lim
2026	A*	`conf`	MV-LLMRec: Multi-View Representation Learning with Large Language Models for Recommendation (Student Abstract). AAAI Minkyung Song, Soyoung Park, Sungsu Lim
2026	A	`conf`	Metadata Meets LLMs: Constructing Knowledge-Rich Citation Networks with CoT-Enhanced Representations. WSDM Soohwan Jeong, MinGyu Choi, Joon-Young Kim, Susik Yoon, Sungsu Lim
2026	J	`jnl`	Uncovering high-order cohesive structures: Efficient (k, g)-core computation and decomposition for large hypergraphs. Knowl. Based Syst. DaHee Kim, Hyewon Kim, Song Kim, Minseok Kim, Junghoon Kim, Yeon-Chang Lee, Sungsu Lim
2025	J	`jnl`	Beyond trivial edges: A fractional approach to cohesive subgraph detection in hypergraphs. Knowl. Based Syst. Hyewon Kim, Woocheol Shin, DaHee Kim, Junghoon Kim, Sungsu Lim, Hyun Ji Jeong
2025	J	`jnl`	Bridges in social networks: current status and challenges. PeerJ Comput. Sci. Jeongseon Kim, Soohwan Jeong, Jungeun Kim, Sungsu Lim
2025	A	`conf`	CR-SGCN: Unsupervised Signed Community Detection via Conductance Regularization. CIKM Jeongseon Kim, Sungsu Lim
2025	—	`conf`	Diverse Knowledge Selection for Enhanced Zero-shot Visual Question Answering. WWW (Companion Volume) Seunghoon Han, MinGyu Choi, Hyewon Lee, Soyoung Park, Jong-Ryul Lee, Sungsu Lim, Tae-Ho Kim
2025	J	`jnl`	Dynamic Periodic Event Graphs for multivariate time series pattern prediction. PeerJ Comput. Sci. Soyoung Park, Hyewon Lee, Sungsu Lim
2025	J	`jnl`	Experimental Analysis and Evaluation of Cohesive Subgraph Discovery. CoRR DaHee Kim, Song Kim, Jeongseon Kim, Junghoon Kim, Kaiyu Feng, Sungsu Lim, Jungeun Kim
2025	A	`conf`	FnRGNN: Distribution-aware Fairness in Graph Neural Network. CIKM Soyoung Park, Sungsu Lim
2025	J	`jnl`	FnRGNN: Distribution-aware Fairness in Graph Neural Network. CoRR Soyoung Park, Sungsu Lim
2025	B	`conf`	GRAIL: Graph Retrieval-Augmented In-Context Learning for Node Classification in Real-World Textual-Attributed Graphs. EDBT Chanuk Lim, Kyong-Ha Lee, Hyun Ji Jeong, Sungsu Lim
2025	J	`jnl`	LLM-powered scene graph representation learning for image retrieval via visual triplet-based graph transformation. Expert Syst. Appl. Soohwan Jeong, Jongmin Park, MinGyu Choi, Yongjin Kwon, Sungsu Lim
2025	J	`jnl`	Metapath-based Hyperbolic Contrastive Learning for Heterogeneous Graph Embedding. CoRR Jongmin Park, Seunghoon Han, Won-Yong Shin, Sungsu Lim
2025	J	`jnl`	Sequence-aware adaptive graph convolutional recurrent networks for traffic forecasting. Knowl. Based Syst. Seunghoon Han, Hyewon Lee, Daniel Y. Lee, Sung-Soo Kim, Susik Yoon, Sungsu Lim
2025	J	`jnl`	Succinct Link Transformation-Based Overlapping Community Detection Framework for Social Network Analysis. IEEE Access Seungwoo Ryu, Sungsu Lim, Seungsoo Yoo, Sun Yong Kim
2025	J	`jnl`	Uncovering High-Order Cohesive Structures: Efficient (k,g)-Core Computation and Decomposition for Large Hypergraphs. CoRR DaHee Kim, Hyewon Kim, Song Kim, Minseok Kim, Junghoon Kim, Yeon-Chang Lee, Sungsu Lim
2025	—	`conf`	Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation. PAKDD (5) Soyoung Park, Hyewon Lee, MinGyu Choi, Seunghoon Han, Jong-Ryul Lee, Sungsu Lim, Tae-Ho Kim
2025	J	`jnl`	Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation. CoRR Soyoung Park, Hyewon Lee, MinGyu Choi, Seunghoon Han, Jong-Ryul Lee, Sungsu Lim, Tae-Ho Kim
2024	J	`jnl`	ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly Detection. CoRR Hwan Kim, Junghoon Kim, Sungsu Lim
2024	J	`jnl`	Beyond Trivial Edges: A Fractional Approach to Cohesive Subgraph Detection in Hypergraphs. CoRR Hyewon Kim, Woocheol Shin, DaHee Kim, Junghoon Kim, Sungsu Lim, Hyunji Jeong
2024	J	`jnl`	Experimental analysis and evaluation of cohesive subgraph discovery. Inf. Sci. DaHee Kim, Song Kim, Jeongseon Kim, Junghoon Kim, Kaiyu Feng, Sungsu Lim, Jungeun Kim
2024	—	`conf`	Hyperbolic Heterogeneous Graph Attention Networks. WWW (Companion Volume) Jongmin Park, Seunghoon Han, Soohwan Jeong, Sungsu Lim
2024	J	`jnl`	Hyperbolic Heterogeneous Graph Attention Networks. CoRR Jongmin Park, Seunghoon Han, Soohwan Jeong, Sungsu Lim
2024	A*	`conf`	Multi-Hyperbolic Space-Based Heterogeneous Graph Attention Network. ICDM Jongmin Park, Seunghoon Han, Jong-Ryul Lee, Sungsu Lim
2024	J	`jnl`	Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network. CoRR Jongmin Park, Seunghoon Han, Jong-Ryul Lee, Sungsu Lim
2024	J	`jnl`	SiReN: Sign-Aware Recommendation Using Graph Neural Networks. IEEE Trans. Neural Networks Learn. Syst. Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, Won-Yong Shin
2023	J	`jnl`	A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation. CoRR Bo-Kyeong Kim, Jaemin Kang, Daeun Seo, Hancheol Park, Shinkook Choi, Hyoung-Kyu Song, Hyungshin Kim, Sungsu Lim
2023	J	`jnl`	A novel graph-based missing values imputation method for industrial lubricant data. Comput. Ind. Soohwan Jeong, Chonghyo Joo, Jongkoo Lim, Hyungtae Cho, Sungsu Lim, Junghwan Kim
2023	J	`jnl`	Deep Semi-supervised Anomaly Detection with Metapath-based Context Knowledge. CoRR Hwan Kim, Junghoon Kim, Byung Suk Lee, Sungsu Lim
2023	J	`jnl`	Effective and efficient core computation in signed networks. Inf. Sci. Junghoon Kim, Hyun Ji Jeong, Sungsu Lim, Jungeun Kim
2023	A	`conf`	Exploring Cohesive Subgraphs in Hypergraphs: The (k, g)-core Approach. CIKM DaHee Kim, Junghoon Kim, Sungsu Lim, Hyun Ji Jeong
2023	J	`jnl`	Exploring Cohesive Subgraphs in Hypergraphs: The (k, g)-core Approach. CoRR DaHee Kim, Junghoon Kim, Sungsu Lim, Hyun Ji Jeong
2023	A*	`conf`	Greedy Actor-Critic: A New Conditional Cross-Entropy Method for Policy Improvement. ICLR Samuel Neumann, Sungsu Lim, Ajin George Joseph, Yangchen Pan, Adam White, Martha White
2023	B	`conf`	Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting. IEEE Big Data Seunghoon Han, Sungsoo Kim, Sungsu Lim
2023	J	`jnl`	MIGTNet: Metapath Instance-based Graph Transformation Network for heterogeneous graph embedding. Future Gener. Comput. Syst. Jongmin Park, Soohwan Jeong, Byung Suk Lee, Sungsu Lim
2023	B	`conf`	Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic Prediction. IEEE Big Data Jeongseon Kim, Sungsoo Kim, Sungsu Lim
2023	J	`jnl`	mr2vec: Multiple role-based social network embedding. Pattern Recognit. Lett. Soohwan Jeong, Jongmin Park, Sungsu Lim
2022	—	`conf`	(p, n)-core: Core Decomposition in Signed Networks. DASFAA (1) Junghoon Kim, Sungsu Lim
2022	J	`jnl`	Effective and Efficient Core Decomposition in Signed Networks. CoRR Junghoon Kim, Sungsu Lim, Jungeun Kim
2022	J	`jnl`	Graph Anomaly Detection With Graph Neural Networks: Current Status and Challenges. IEEE Access Hwan Kim, Byung Suk Lee, Won-Yong Shin, Sungsu Lim
2022	J	`jnl`	Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges. CoRR Hwan Kim, Byung Suk Lee, Won-Yong Shin, Sungsu Lim
2022	J	`jnl`	Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences. J. Mach. Learn. Res. Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White
2022	J	`jnl`	LEHAN: Link-Feature Enhanced Heterogeneous Graph Attention Network. IEEE Access Jongmin Park, Sungsu Lim
2022	J	`jnl`	LUEM : Local User Engagement Maximization in Networks. CoRR Junghoon Kim, Jungeun Kim, Hyun Ji Jeong, Sungsu Lim
2022	J	`jnl`	LUEM : Local User Engagement Maximization in Networks. Knowl. Based Syst. Junghoon Kim, Jungeun Kim, Hyun Ji Jeong, Sungsu Lim
2022	J	`jnl`	OCSM : Finding Overlapping Cohesive Subgraphs with Minimum Degree. CoRR Junghoon Kim, Sungsu Lim, Jungeun Kim
2022	J	`jnl`	OCSM : Finding overlapping cohesive subgraphs with minimum degree. Inf. Sci. Junghoon Kim, Sungsu Lim, Jungeun Kim
2021	—	`conf`	Cluster-aware Semantic Vector Learning using BERT in Natural Language Understanding. BigComp Sangkeun Jung, Sungsu Lim
2021	J	`jnl`	Greedification Operators for Policy Optimization: Investigating Forward and Reverse KL Divergences. CoRR Alan Chan, Hugo Silva, Sungsu Lim, Tadashi Kozuno, A. Rupam Mahmood, Martha White
2021	J	`jnl`	SiReN: Sign-Aware Recommendation Using Graph Neural Networks. CoRR Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, Won-Yong Shin
2020	J	`jnl`	Maximizing Information Gain in Partially Observable Environments via Prediction Reward. CoRR Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
2020	A	`conf`	Maximizing Information Gain in Partially Observable Environments via Prediction Rewards. AAMAS Yash Satsangi, Sungsu Lim, Shimon Whiteson, Frans A. Oliehoek, Martha White
2020	A*	`conf`	Meta-Learning on Graph with Curvature-Based Analysis (Student Abstract). AAAI Tae Hong Moon, Sungsu Lim
2020	A*	`conf`	SSumM: Sparse Summarization of Massive Graphs. KDD Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin
2020	J	`jnl`	SSumM: Sparse Summarization of Massive Graphs. CoRR Kyuhan Lee, Hyeonsoo Jo, Jihoon Ko, Sungsu Lim, Kijung Shin
2020	J	`jnl`	TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture. CoRR Jin-Woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, Jae-Gil Lee
2019	J	`jnl`	LinkBlackHole IEEE Trans. Knowl. Data Eng. Jungeun Kim, Sungsu Lim, Jae-Gil Lee, Byung Suk Lee
2019	A*	`conf`	LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding (Extended Abstract). ICDE Jungeun Kim, Sungsu Lim, Jae-Gil Lee, Byung Suk Lee
2018	J	`jnl`	Actor-Expert: A Framework for using Action-Value Methods in Continuous Action Spaces. CoRR Sungsu Lim, Ajin Joseph, Lei Le, Yangchen Pan, Martha White
2017	J	`jnl`	Differential Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs. ACM Trans. Intell. Syst. Technol. Jungeun Kim, Jae-Gil Lee, Sungsu Lim
2016	A*	`conf`	BlackHole: Robust community detection inspired by graph drawing. ICDE Sungsu Lim, Junghoon Kim, Jae-Gil Lee
2015	—	`conf`	Triangle counting in networks using a multi-level branching technique. BigComp Jungeun Kim, Minseo Kang, Sungsu Lim, Jae-Gil Lee
2014	A*	`conf`	LinkSCAN*: Overlapping community detection using the link-space transformation. ICDE Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, Jae-Gil Lee
2014	J	`jnl`	Modelling multi-state diffusion process in complex networks: theory and applications. J. Complex Networks Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim
2014	J	`jnl`	Stability of the Max-Weight Protocol in Adversarial Wireless Networks. IEEE/ACM Trans. Netw. Sungsu Lim, Kyomin Jung, Matthew Andrews
2013	—	`conf`	Modeling Multi-state Diffusion Process in Complex Networks: Theory and Applications. SITIS Yishi Lin, John C. S. Lui, Kyomin Jung, Sungsu Lim
2013	J	`jnl`	Phase transition of multi-state diffusion process in networks. SIGMETRICS Perform. Evaluation Rev. Sungsu Lim, Kyomin Jung, John C. S. Lui
2012	J	`jnl`	A research on the investigation method of digital forensics for a VMware Workstation's virtual machine. Math. Comput. Model. Sungsu Lim, Byeongyeong Yoo, Jungheum Park, KeunDuck Byun, Sangjin Lee
2012	J	`jnl`	A study on multimedia file carving method. Multim. Tools Appl. Byeongyeong Yoo, Jungheum Park, Sungsu Lim, Jewan Bang, Sangjin Lee
2012	J	`jnl`	Stability of the Max-Weight Protocol in Adversarial Wireless Networks CoRR Sungsu Lim, Kyomin Jung, Matthew Andrews
2012	A*	`conf`	Stability of the Max-Weight protocol in adversarial wireless networks. INFOCOM Sungsu Lim, Kyomin Jung, Matthew Andrews