PNU Data Intelligence Lab.
Data Intelligence Lab. at Pusan National Univ., led by Prof. Junsu Cho, is a research group dedicated to the study of artificial intelligence and data mining. We especially focus on recommender systems, natural language processing, and multimodal data mining.Â
Our group is currently recruiting master's and doctoral graduate students, as well as undergraduate research students. If you are interested in our group, please contact us at jscho@pusan.ac.kr.
Publications
International Conferences
Dynamic Multi-Behavior Sequence Modeling for Next Item recommendation (AAAI, 2023)
Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, and Hwanjo Yu
Unsupervised Proxy Selection for Session-Based Recommender Systems (SIGIR, 2021)
Junsu Cho, SeongKu Kang, Dongmin Hyun, and Hwanjo Yu
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation (WWW, 2021)
Junsu Cho, Dongmin Hyun, SeongKu Kang, and Hwanjo Yu
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability (CIKM, 2022)
Dongmin Hyun, Chanyoung Park, Junsu Cho, and Hwanjo Yu
Sparse Nextwork Inversion for Key Instance Detection in Multiple Instance Learning (ICPR, 2020)
Beomjo Shin, Junsu Cho, Hwanjo Yu, and Seungjin Choi
Interest Sustainability-Aware Recommender System (ICDM, 2020)
Dongmin Hyun, Junsu Cho, Chanyoung Park, and Hwanjo Yu
Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain (COLING, 2020)
Dongmin Hyun, Junsu Cho, and Hwanjo Yu
International Journals
Learning to Utilize Auxiliary Reviews for Recommendation (Information Science, 2021)
Dongmin Hyun, Chanyoung Park, Junsu Cho, and Hwanjo Yu
Domestic Conferences/Journals
Compressing Model for Maxrix Factorization with Quantization Using k-Means Clustering (KDBC, 2017)
Junsu Cho, Dongha Lee, and Hwanjo Yu