Recent News

​​News

• [Recruitment] 대학원생 모집: 일정 참고 [link] / 1. 컴퓨터공학과 소개 [link] / 2. 바이오AI융합학과 소개 [link]
• ​[Research Grant] CNU's Innovative Education and Research Center for On-Device AI Software was selected for the Phase 4 of Brain Korea 21 Project promoted by the National Research Foundation, Korea. [link] / 본 연구실이 참여한 충남대학교 <온디바이스 AI 소프트웨어 혁신인재교육연구단>이 4단계 BK21 사업(분야: 인공지능)에 선정되었습니다.
• [Research Grant] CNU's Bio-AI Convergence Research Center was selected for the 2020 AI Convergence Research Center Support Project promoted by the Ministry of Science and ICT, Korea. [link] / 본 연구실이 참여한 충남대학교 <바이오AI융합연구센터>가 2020년 인공지능융합연구센터 지원사업에 선정되었습니다.

​Awards

• [Distinguished Paper] Jeongseon Kim and Sungsu Lim, "Community Detection Using Link Attribute Classification," Korea Software Congress 2020, Dec. 2020. [link] / KSC 2020 한국소프트웨어종합학술대회 우수논문상 (김정선).
• [Honorable Mention] Soohwan Jeong, Jongmin Park, and Sungsu Lim, "Triangulation-Based Embedding for Graph Clustering," Undergraduate Paper Competition, Korea Software Congress 2019, Dec. 2019. [link] / KSC 2019 학부생논문경진대회 장려상 (정수환, 박종민).
• [​Third Place] Soyeong Choi, Kyuyoung Sim, and Sungsu Lim, SOCAR-KIISE AI Image Analysis Competition 2019, Dec. 2019. [link] / 쏘카X한국정보과학회 AI 영상분석 경진대회 우수상 (최소영, 심규영).

Publications

• [Paper] {Kyuhan Lee*, Hyeonsoo Jo*}, Jihoon Ko, Sungsu Lim, and Kijung Shin, "SSumM: Sparse Summarization of Massive Graphs," Proc. of KDD 2020, pp. 144-154, Aug. 2020. [link] [code and datasets]
• [Paper] 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 (PRE), Vol. 100, Issue 5, Article 052311, Nov. 2019. [link]
• [Paper] Jungeun Kim, Sungsu Lim, Jae-Gil Lee, and Byung Suk Lee, "LinkBlackHole*: Robust Overlapping Community Detection Using Link Embedding," IEEE Trans. on Knowledge and Data Engineering (TKDE),  Vol. 31, No. 11, pp. 2138-2150, Nov. 2019. [link]

Talks

• [Tutorial] Sungsu Lim and Kijung Shin, "Detecting Communities and Anomalies in Large Real-world Graphs," IEEE BigComp 2020, Feb. 2020. [link] [proposal] [slides]
• [Tutorial] Sungsu Lim, "Graph Representation Learning," Korea Computer Congress 2019, Jun. 2019. [link] [slides1] [slides2] / slides1: original, slides2: updated Apr. 2020.
• [Invited Talk] Sungsu Lim, "Learning Structure in Large Graphs," Data Science Group, Institute for Basic Science (IBS), Sep. 2020. [slides]