Welcome to Data Mining Laboratory in the Department of Computer Science and Engineering at Seoul National University. Our research interests lie in artificial intelligence (AI), data mining, and machine learning to find models, algorithms, and systems for data analysis. Specifically, we focus on the following research topics: deep learning & machine learning, recommendation system, graphs/tensors, and financial AI.
The paper "D-Tucker: Fast and Memory-Efficient Tucker Decomposition for Dense Tensors." is accepted to ICDE 2020, a top tier data mining conference. The paper proposed a fast and memory-efficient tucker decomposition for dense tensors.
Ph.D. student Hyunsik Jeon won the HumanTech award (honorable mention, 4th in Computer Science), from his paper "Data Context Adaptation for Accurate Recommendation with Additional Information". HumanTech award is given to best papers in the engineering area, and it is the most prestigious award among such kind in Korea. Congratulations!
A paper is accepted to PAKDD 2020, a top tier data mining conference. The paper “Accurate News Recommendation Coalescing Personal and Global Temporal Preferences” proposed a news recommender system utilizing both personal and global temporal preferences to provide an accurate recommendation.
M.S./Ph.D. student Seungcheol Park won Google Travel Award for his IROS 2019 conference trip. Google Travel Award is given to a selected primary author of a paper in a top-tier conference in Computer Science. Seungcheol presented his paper "Curved-Voxel Clustering for Accurate Segmentation of 3D LIDAR Point Clouds with Real Time Performance" in IROS 2019. Congratulations!
Ph.D. student Hyunsik Jeon won BigData 2019 travel award for his conference trip. Hyunsik Jeon will present his paper “Data Context Adaptation for Accurate Recommendation with Additional Information” in BigData 2019 Conference.