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Selected Papers

​2025

• ​Giju Eoh, Sungsu Lim, and Jongseok Park*, "Non-destructive Analysis of Anthocyanin Content Levels Based on RGB Images of Red Lettuce," Horticultural Science and Technology, Apr. 2025. (SCIE, IF: 1.0, Q3)

​2024

• Jongmin Park, Seunghoon Han, Jong-Ryul Lee*, and Sungsu Lim*, Multi-Hyperbolic Space-based Heterogeneous Graph Attention Network, IEEE ICDM, Dec. 2024. (Top conf., short paper) (acceptance rate: 19.5%, long+short)
• Hwan Kim, Mingyu Choi, Sekil Park, and Sungsu Lim*, "Vessel Trajectory Classification via Transfer Learning with Deep Convolutional Neural Networks," PLOS ONE, Aug. 2024 (SCIE, IF: 2.9, Q1)
• Dahee Kim, Song Kim, Jeongseon Kim, Junghoon Kim*, Kaiyu Feng, Sungsu Lim, and Jungeun Kim, "Experimental Analysis and Evaluation of Cohesive Subgraph Discovery," Information Sciences, Jun. 2024. (SCIE, IF: N/A)
• ​​Jongmin Park, Seunghoon Han, Soohwan Jeong, and Sungsu Lim*, "Hyperbolic Heterogeneous Graph Attention Networks," WWW, May 2024. (Top conf., short paper)
• Hangoo Kang, Dongil Kim, and Sungsu Lim*, "Machine Learning-based Anomaly Detection on Seawater Temperature Data with Oversampling," Journal of Marine Science and Engineering, May 2024. (SCIE, IF: 2.7, Q1)
• Changwon Seo, Kyeong-Joong Jeong, Sungsu Lim, and Won-Yong Shin*, "SiReN: Sign-Aware Recommendation Using Graph Neural Networks," IEEE Transactions on Neural Networks and Learning Systems, Apr. 2024. (SCIE, IF: 10.2, Q1)​
• Soohwan Jeong, Jeongseon Kim, Byung Suk Lee, and Sungsu Lim*, "User Tendency Based Rating Scaling in Online Trading Networks," PLOS ONE, Apr. 2024. (SCIE, IF: 2.9, Q1)

​2023

• Jongmin Park, Soohwan Jeong, Byung Suk Lee, and Sungsu Lim*, "​MIGTNet: Metapath Instance-Based Graph Transformation Network for Heterogeneous Graph Embedding," Future Generation Computer Systems, Dec. 2023. (SCIE, IF: 6.2, Q1)
• Soohwan Jeong, Jongmin Park, and Sungsu Lim*, "mr2vec: Multiple Role-based Social Network Embedding," Pattern Recognition Letters, Dec. 2023. (SCIE, IF: 3.9, Q2)
• Seunghoon Han, Sungsoo Kim*, and Sungsu Lim*, "​Improved Dynamic Coupled Graph Convolutional Recurrent Networks for Traffic Forecasting," IEEE BigData (Poster), Dec. 2023.
• Jeongseon Kim, Sungsoo Kim*, and Sungsu Lim*, "Performance Evaluation of Data Imputation Methods for Graph Deep Learning-Based Traffic Prediction," IEEE BigData (Poster), Dec. 2023.
• ​Dahee Kim, Junghoon Kim*, Sungsu Lim, and Hyun Ji Jeong, "Exploring Cohesive Subgraphs in Hypergraphs: The (k,g)-core Approach," ACM CIKM, Oct. 2023. (Top conf., short paper) (acceptance rate: 27.4%, short)
• Nakhyeon Seong†, Jeongseon Kim†, and Sungsu Lim*, "Graph-based Anomaly Detection of Ship Movements Using CCTV Videos," Journal of Marine Science and Engineering, Oct. 2023. (SCIE, IF: 2.7, Q1)
• Bo-Kyeong Kim*, Jaemin Kang, Daeun Seo, Hancheol Park, Shinkook Choi, Hyoung-Kyu Song, Hyungshin Kim*, and Sungsu Lim*, "Accelerating Speech-Driven Talking Face Generation with 28x Compressed Wav2Lip," ICCV (Demo), Oct. 2023. (Top conf., demo paper)
• ​Soohwan Jeong†, Chonghyo Joo†, Jongkoo Lim, Hyungtae Cho, Sungsu Lim*, and Junghwan Kim*, "A Novel Graph-based Missing Values Imputation Method for Industrial Lubricant Data," Computers in Industry, Sep. 2023. (SCIE, IF: 8.2, Q1)
• Junghoon Kim, Hyun Ji Jeong, Sungsu Lim*, and Jungeun Kim*, "Effective and Efficient Core Decomposition in Signed Networks," Information Sciences, Jul. 2023. (SCIE, IF: N/A)
• Soohwan Jeong†, Jonghun Lim†, Seok Il Hong, Soon Chul Kwon, Jae Yun Shin, Yup Yoo, Hyungtae Cho, Sungsu Lim*, and Junghwan Kim*, "A Framework for Environmental Production of Textile Dyeing Process using Novel Exhaustion-rate Meter and Multi-layer Perceptron-based Prediction Model," Process Safety and Environmental Protection, Jul. 2023. (SCIE, IF: 6.9, Q1)
• Bo-Kyeong Kim*, Jaemin Kang, Daeun Seo, Hancheol Park, Shinkook Choi, Hyoung-Kyu Song, Hyungshin Kim*, and Sungsu Lim*, "A Unified Compression Framework for Efficient Speech-Driven Talking-Face Generation," MLSys (Workshop: On-Device Intelligence Workshop), Jun. 2023.

2022

• Junghoon Kim, Jungeun Kim*, Hyun Ji Jeong, and Sungsu Lim*, "LUEM: Local User Engagement Maximization in Networks," Knowledge-Based Systems, Nov. 2022. (SCIE, IF: 8.8, Q1)
• Hwan Kim, Byung Suk Lee, Won-Yong Shin, and Sungsu Lim*, "Graph Anomaly Detection with Graph Neural Networks: Current Status and Challenges," IEEE Access, Oct. 2022. (SCIE, IF: 3.9, Q2) (# of citations > 50)
• Jongmin Park and Sungsu Lim*, "LEHAN: Link-feature Enhanced Heterogeneous Graph Attention Network," IEEE Access, Aug. 2022. (SCIE, IF: 3.9, Q2)
• Junghoon Kim, Sungsu Lim*, and Jungeun Kim*, "OCSM: Finding Overlapping Cohesive Subgraphs with Minimum Degree," Information Sciences, Aug. 2022. (SCIE, IF: 8.1, Q1)
• Jeongseon Kim, Soohwan Jeong, and Sungsu Lim*, "Link Pruning for Community Detection in Social Networks," Applied Sciences, Jul. 2022. (SCIE, IF: 2.7, Q2)
• Junghoon Kim and Sungsu Lim*, "(p, n)-Core: Core Decomposition in Signed Networks," DASFAA, Apr. 2022. (acceptance rate: 36.8%, long+short)

2021

• Hwan Kim and Sungsu Lim*, "Temporal Patternization of Power Signature for Appliance Classification in NILM," Energies, May 2021. (SCIE, IF: 3.252, Q3)
• Jin-woo Lee, Jaehoon Oh, Sungsu Lim, Se-Young Yun, and Jae-Gil Lee, "TornadoAggregate: Accurate and Scalable Federated Learning via the Ring-Based Architecture," AAAI (Workshop: Towards Robust, Secure and Efficient Machine Learning), Feb. 2021.
• Sangkeun Jung and Sungsu Lim, "Cluster-aware Semantic Vector Learning using BERT in Natural Language Understanding," IEEE BigComp, Jan. 2021. (Best paper award - 3rd place)

2020

• Kyuhan Lee†, Hyeonsoo Jo†, Jihoon Ko, Sungsu Lim, and Kijung Shin*, "SSumM: Sparse Summarization of Massive Graphs," ACM SIGKDD, Aug. 2020. (Top Conf., full paper) (acceptance rate: 16.6%, research+ADS track) (# of citations > 50)
• Tae-Hong Moon and Sungsu Lim*, "Meta-learning on Graph with Curvature-based Analysis," AAAI (Student Abstract), Feb. 2020. (acceptance rate: 48.8%, student abstract)

2019

• Jungeun Kim, Sungsu Lim, Jae-Gil Lee*, and Byung Suk Lee, "LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding," IEEE Transactions on Knowledge and Data Engineering, Nov. 2019. (SCIE, IF: 4.935, Q1)
• Byeongjin Choe, Yishi Lin, Sungsu Lim, John C.S. Lui, and Kyomin Jung*, "Efficient Spread-size Approximation of Opinion Spreading in General Social Networks," Physical Review E, Nov. 2019. (SCIE, IF: 2.296, Q1)
• Jungeun Kim, Sungsu Lim, Jae-Gil Lee*, and Byung Suk Lee, "LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding," IEEE ICDE (Extended Abstract), Apr. 2019.

​Before 2019

• Jungeun Kim, Jae-Gil Lee*, and Sungsu Lim, "Different Flattening: A Novel Framework for Community Detection in Multi-Layer Graphs," ACM Transactions on Intelligent Systems and Technology, Jan. 2017. (SCIE, IF: 2.973, Q1)
• Sungsu Lim and Jae-Gil Lee*, "Motif-Based Embedding for Graph Clustering," Journal of Statistical Mechanics: Theory and Experiment, Dec. 2016. (SCIE, IF: 2.196, Q1) (Qualcomm innovation award, 2016)
• Sungsu Lim, Joongbo Shin, Namju Kwak, and Kyomin Jung*, "Phase Transitions for Information Diffusion in Random Clustered Networks," European Physical Journal B, Sep. 2016. (SCIE, IF: 1.436, Q3)
• Sungsu Lim, Junghoon Kim, and Jae-Gil Lee*, "BlackHole: Robust Community Detection Inspired by Graph Drawing," IEEE ICDE, May 2016. (Top conf., full paper) (acceptance rate: 25.0%) (KAIST Breakthroughs, Spring 2016)
• Sungsu Lim, Inwoo Jung, Seulki Lee, and Kyomin Jung*, "Analysis of Information Diffusion for Threshold Models on Arbitrary Networks," European Physical Journal B, Aug. 2015. (SCIE, IF: 1.223, Q3)
• Jungeun Kim, Minseo Kang, Sungsu Lim, and Jae-Gil Lee*, "Triangle Counting in Networks Using the Multi-Level Branching Technique," IEEE BigComp, Feb. 2015.
• ​Sungsu Lim, Kyomin Jung, and Matthew Andrews, "Stability of the Max-Weight Protocol in Adversarial Wireless Networks," IEEE/ACM Transactions on Networking, Dec. 2014. (SCIE, IF: 1.811, Q1)
• Yishi Lin*, John C.S. Lui, Kyomin Jung, and Sungsu Lim, "Modeling Multi-state Diffusion Process in Complex Networks, Theory and Applications," Journal of Complex Networks, Dec. 2014.
• Sungsu Lim, Seungwoo Ryu, Sejeong Kwon, Kyomin Jung, and Jae-Gil Lee, "LinkSCAN*: Overlapping Community Detection Using the Link-Space Transformation," IEEE ICDE, Apr. 2014. (Top conf., full paper) (acceptance rate: 20.0%) (# of citations > 100)
• Sungsu Lim, Kyomin Jung, and John C.S. Lui, "Phase Transition of Multi-state Diffusion Process in Networks," ACM SIGMETRICS (Workshop: Workshop on Mathematical Performance Modeling and Analysis, MAMA), Jun. 2013.
• Sungsu Lim, Kyomin Jung, and Matthew Andrews, "Stability of the Max-Weight Protocol in Adversarial Wireless Networks," IEEE INFOCOM, Mar. 2012. (Top conf., full paper) (acceptance rate: 18.0%) (Samsung humantech paper award, 2012)

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Selected Coauthors

• Prof. Jae-Gil Lee (advisor) @ KAIST CS [ICDE '14] [BigComp '15] [ICDE '16] [JSTAT '16] [TIST '17] [ICDE poster '19] [TKDE '19] [AAAI W '21]
• Prof. Kyomin Jung (advisor) @ SNU ECE [INFOCOM '12] [MAMA '13] [ICDE '14] [J. Complex Netw. '14] [TON '14] [EPJ B '15] [EPJ B '16] [PRE '19]
• Prof. Junghoon Kim @ UNIST CSE [ICDE '16] [DASFAA '22] [Inf. Sci. '22] [KBS '22] [Inf. Sci. '23] [CIKM '23] [Inf. Sci. '24]
• Prof. Jungeun Kim @ Inha Univ. CE [BigComp '15] [TIST '17] [ICDE poster '19] [TKDE '19] [Inf. Sci. '22] [KBS '22] [Inf. Sci. '23] [Inf. Sci. '24]
• Prof. Byung Suk Lee @ Univ. of Vermont CS [ICDE poster '19] [TKDE '19] [Access '22-2] [FGCS '23] [PLOS ONE '24]
• Prof. Hyun Ji Jeong @ Kongju Nat'l Univ. AI [Inf. Sci. '22] [KBS '22] [Inf. Sci. '23]
• Prof. Won-Yong Shin @ Yonsei Univ. CSE [Access '22-2] [TNNLS '24]
• Prof. Junghwan Kim @ Yonsei Univ. Chem. Eng. [PSEP '23] [Comput Ind '23]
• Dr. Sungsoo Kim @ ETRI [BigData poster '23-1] [BigData poster '23-2]
• Dr. Bo-Kyeong Kim @ Nota AI [MLSys W '23] [ICCV demo '23]
• Prof. Jong-Ryul Lee @ CNU CSE [ICDM '24]
• Prof. Dongil Kim @ Ewha Univ. DS [JMSE '24]
• Prof. Kijung Shin @ KAIST AI [KDD '20]
• Prof. John C.S. Lui @ CUHK CSE [MAMA '13] [J. Complex Netw. '14] [PRE '19]
• Dr. Matthew Andrews @ Nokia Bell Labs [INFOCOM '12] [TON '14]
• Lab. Students [AAAI poster '20] [Energies '21] [Appl. Sci. '22] [Access '22-1] [Access '22-2] [PSEP '23] [Comput Ind '23] [JMSE '23] [BigData poster '23-1] [BigData poster '23-2] [PRL '23] [FGCS '23] [PLOS ONE '24-1] [JMSE '24] [WWW '24] [Inf. Sci. '24] [PLOS ONE '24-2] [ICDM '24]
• If you are interested in collaborating with me, please contact me via email!