Selected Papers

​Accepted

• ​​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, accepted (in press). (SCIE, IF: 10.4, 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: 7.5, Q1)
• 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)
• 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: 10.0, 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: 8.1, Q1)
• 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: 7.8, 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)
• 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.

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)
• Tae-Hong Moon and Sungsu Lim*, "Meta-learning on Graph with Curvature-based Analysis," AAAI (Student Abstract), Feb. 2020.

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) (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) (# 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) (Samsung humantech paper award, 2012)

​
Selected Coauthors

• Jae-Gil Lee (advisor) @ KAIST CS [ICDE '14] [BigComp '15] [ICDE '16] [JSTAT '16] [TIST '17] [ICDE poster '19] [TKDE '19] [AAAI W '21]
• 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]
• Junghoon Kim @ UNIST CSE [ICDE '16] [DASFAA '22] [Inf. Sci. '22] [KBS '22] [Inf. Sci. '23] [CIKM '23]
• Jungeun Kim @ Kongju Nat'l Univ. CSE [BigComp '15] [TIST '17] [ICDE poster '19] [TKDE '19] [Inf. Sci. '22] [KBS '22] [Inf. Sci. '23]
• Byung Suk Lee @ Univ. of Vermont CS [ICDE poster '19] [TKDE '19] [Access '22-2] [FGCS '23]
• Hyun Ji Jeong @ Kongju Nat'l Univ. AI [Inf. Sci. '22] [KBS '22] [Inf. Sci. '23]
• Won-Yong Shin @ Yonsei Univ. CSE [Access '22-2] [TNNLS '23+]
• Junghwan Kim @ Yonse Univ. Chem. Eng. [PSEP '23] [Comput Ind '23]
• Bo-Kyeong Kim @ Nota Inc. [MLSys W '23] [ICCV demo '23]
• Kijung Shin @ KAIST AI [KDD '20]
• John C.S. Lui @ CUHK CSE [MAMA '13] [J. Complex Netw. '14] [PRE '19]
• 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] [FGCS '23]
• If you are interested in collaborating with me, please contact me via email!