User-centered Knowledge Services that Support Advanced Intellectual Activities
Research Areas
Publications
Current Projects
“Exploring the influence of user characteristics on verbal aggression towards social chatbots”, Hyojin Chin & Mun Yong Yi, Behaviour & Information Technology.. (SCIE, Impact factor: 4.231)
“A Study on the Weapon–Target Assignment Problem Considering Heading Error”, Ji-Eun Kim, Chang-Hun Lee & Mun Yong Yi, International Journal of Aeronautical and Space Sciences.. (SCIE, Impact factor: 1.7)
“A predicted-loss based active learning approach for robust cancer pathology image analysis in the workplace”, Mujin Kim, Willmer Rafell Quiñones Robles, Young Sin Ko, Bryan Wong, Sol Lee & Mun Yong Yi, BMC Med Imaging.. (SCIE, Impact factor: 2.795)
"Leveraging Spatial Relationships in Microscopic Images for Patient Cancer Diagnosis", Jong Woo KIM, Jeong Min Kyu, Hyung Min Park, & Mun Yi, ISBI.
"SIG-Net: GNN based dropout prediction in MOOCs using Student Interaction Graph", Daeyoung Roh, Donghee Han, Daehee Kim, Keejun Han and Mun Y. Yi, SAC.
"Less is More: A Streamlined Graph-Based Fashion Outfit Recommendation without Multimodal Dependency",Daehee Kim, Donghee Han, Daeyoung Roh, Keejun Han and Mun Y. Yi, SAC.
“Effect of realistically estimated building lifespan on life cycle assessment: A case study in Korea”, Sukwon Ji, Bumho Lee, Yesung Cho, and Mun Y. Yi, Journal Of Building Engineering. (SCIE, Impact factor: 7.144)
“Context-aware Inductive Graph Matrix Completion with Sentence BERT”, Donghee Han, Daehee Kim, Keejun Han and Mun Y. Yi, ICWS.
“Voices that Care Differently: Understanding the Effectiveness of a Conversational Agent with an Alternative Empathy Orientation and Emotional Expressivity in Mitigating Verbal Abuse”, Hyojin Chin, Mun Y. Yi, International Journal of Human-Computer Interaction, 2021-11. (SCIE, Impact factor: 3.353)
“Building life-span prediction for life cycle assessment and life cycle cost using machine learning: A big data approach”, Sukwon Ji, Bumho Lee, Mun Y. Yi, Building and Environment, 2021-11. (SCIE, Impact factor: 6.9)
“The Role of User Resistance and Social Influences on the Adoption of Smartphone: Moderating Effect of Age”, Jaeheung Yoo, Saesol Choi, Yujong Hwang, Mun Y. Yi, JOURNAL OF ORGANIZATIONAL AND END USER COMPUTING, v.33, no.2, pp.36 - 58, 2021-03. (SSCI, Impact factor: 4.349)
“Enhancing the Encoding-Forecasting Model for Precipitation Nowcasting by Putting High Emphasis on the Latest Data of the Time Step”, Chang-Hoo Jeong, Wonsu Kim, Wonkyun Joo, Dongmin Jang, Mun Y. Yi, ATMOSPHERE, v.12, no.2, 2021-02. (SCIE, Impact factor: 2.686)
“Design and Implementation of A Big Data Evaluator Recommendation System Using Deep Learning Methodology” Sukil Chan 1,2, Mun Y. Yi 3 and Sekyoung Youn 1*, Applied Sciences 10(22) (2020): 8000.
Jongwoo Kim, SeongYeub Chu and SeungTai Yoo, received the Best Paper Award in the track of Applied AI at KCC 2024 which is the largest conference in the computer science field in Korea.
Roh Dae-young, a master's degree student in our lab, won the Excellence Award and 1 million won at the Winning Hankook TIRE-KAIST AI Competition with two Hankook Tire employees.
Hong Seong-Rae, a Ph.D. student in our lab, won the Genesis Lab Award and a prize of 1 million won at the 2023 Military AI Competition.
Roh Dae-young, a master's degree student in our lab, won the Excellence Award and 1 million won at the Winning Hankook TIRE-KAIST AI Competition with two Hankook Tire employees.
Kim, Yu Sung(Edward), a Ph.D. student in our lab, won the Global Leadership Award as an example of others in recognition of his outstanding spirit and process of challenge, creativity, and consideration, which are the core values of KAIST.
Kim, Yu Sung(Edward), a Ph.D. student in our lab, and P.S. Chung, a graduate of the medical school, won the grand prize at the 2022 Convergence Research Revitalization Idea Contest organized by the 2022 Korea Science and Technology Future Convergence Forum.
Willmer Rafell Quiñones Robles, Mujin Kim, PhD students in our lab and Sung Rae Hong, Tae Mi Kim, Sol Lee, Jongwoo Kim, Master's students in our lab won Industrial/Social Problem Solving Poster Contest of 2022 ISysE Research Day and 700 thousand won in prize.
At the 2022 ETRI Human Understanding AI Paper Competition (sponsored by the ETRI, the MSIT, and the NST), Master's students, SungRae Hong, TaeMi Kim, Sol Lee and JongWoo Kim won the MSIT Minister's Award and 2 million won in prize.
Kim, Yu Sung(Edward), a Ph.D.'s student in our lab has been awarded prestigious Kwanjeong Scholarship from Kwanjeong Lee, Chonghwan Educational Foundation. The selection was made out of nation-wide competition.
지식서비스는 미래를 이끄는 자원이 될 것
"빅데이터란 스마트 폰과 소셜 네트워크 서비스의 발전으로 엄청난 양의 데이터가 빠른 속도로 생산되는 것을 말한다. 비정형데이터인 빅데이터와 기존 정형데이터간의 융합이 앞으로 더 중요해질것. "
지금은 빅 데이터 관련기술 개발 절정의 시기
"빅 데이터의 규모, 다양성, 속도 등은 새로운 통찰력(insight)을 제공한다. 빅 데이터를 분석하면 고객이 무엇을 원하는지, 시장은 어떤 방향으로 변하는지, 업무환경은 어떻게 개선하는 게 바람직한지 등에 대한 답을 얻을 수 있다. 빅 데이터가 빅 인사이트(Big Insight)를 가져오고, 빅 인사이트(Big Insight)가 빅 밸류(Big Value)를 낳는셈."
카이스트 교수가 대학생 벤쳐에 투자한 투자한 이유
"카이스트 학생처럼 '가진자'들이 스스로 '빚진자'로 여기며 자신이 가진 지식을 기부한다는 점은 보람있고 기특한 일이기에 투자를 결정."
Phone: +82 42 350 3105
Fax: +82 42 350 3110
Location: Room 1201, Bldg. E2-1, KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 305-701
E-mail:
munyi@kaist.ac.kr
