Sung-Jun Park

왓챠; 우아한형제들

Contact

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Awards

  • ICCC 2019 Best Paper Award (“Malware Classification: Methods and Evaluation”), 2020

Publications

*졸업 이후 실적은 Google Scholar 혹은 Personal Homepage 참고 부탁드립니다.

5 International Conference Papers

  • Sung-Jun Park*, Dong-Kyu Chae*, Hong-Kyun Bae, Sumin Park and Sang-Wook Kim, “Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation”, In Proc. of the 15th ACM International Conference on Web Search and Data Mining (ACM WSDM 2022), pp. 784-793, Virtual Event, Tempe, Arizona, USA, Feb. 21-25, 2022. (*co-first authors with equal contribution)
  • Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae, Sang-Wook Kim, “MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups”, In Proc. of the ACM SIGSAC Conference on Computer and Communications Security (ACM CCS’ 2021), pp. 2441-2443. Virtual Event, Republic of Korea, November 15-19, 2021.
  • Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi and Sang-Wook Kim, “A Human-in-the-Loop Approach to Malware Author Classification”, In Proc. of the 29th ACM Int’l Conference on Information and Knowledge Management (ACM CIKM 2020), pp. 3289-3292, ONLINE, Oct. 19-23, 2020.
  • Sung-Jun Park, Jiwon Hong, Taeri Kim, Sang-Wook Kim, “Malware Classification: Methods and Evaluation”, In Proc. Int’l Conf. on Convergence Content (ICCC 2019), pp. 267-268, Johor, Malaysia, Dec. 19-21, 2019.
  • Jiwon Hong, Sung-Jun Park, Taeri Kim, Yung-Kyun Noh and Sang-Wook Kim, “Malware Classification for Identifying Author Groups: A Graph-based Approach”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS 2019), pp. 169-174, Chongqing, China, Sep. 24-27, 2019.

1 International Journal Paper

  • Dong-Kyu Chae, Sung-Jun Park, Eujeanne Kim, Jiwon Hong and Sang-Wook Kim, “Identifying the Author Group of Malwares through Graph Embedding and Human-in-the-Loop Classification,“ Applied Sciences, Vol. 11, No. 14, pp. 1-13, July. 2021.

2 Domestic Conference Papers

  • 박성준, 배홍균, 채동규, 김상욱, “객체 간 선호 관계 정보를 포함하는 지식 그래프 구축 기법 및 추천 시스템에서의 활용 방안,” KIPS 추계학술대회 2020, pp. 759-760, 온라인개최, 2020년 11월 6-7일.
  • 박성준, 홍지원, 김태리, 김상욱, “K-Nearest Neighbors 기반의 분류 근거 시각화 도구”, KSC 2019, pp. 132-133, 평창 휘닉스파크, 2019년 12월 18-20일.

2 Domestic Patents

  • 김상욱, 박성준, 채동규, 배홍균, 감정 요소가 결합된 지식 그래프와 강화학습을 이용한 설명 가능한 추천 시스템 및 방법, 등록번호: 10-2633688, 등록일: 2024.01.31., (출원번호: 10-2021-0054841, 출원일: 2021. 04. 28.)
  • 김상욱, 채동규, 박성준, 김유진, 그래프 임베딩과 인간참여 방식을 통한 악성코드 제작그룹 식별 방법, 등록번호: 10-2490369, 등록일: 2023.01.16, (출원번호: 10-2020-0114426, 출원일: 2020.09.08)