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.
A paper is accepted to WSDM 2020, a top tier data mining conference. The paper “Sampling Subgraphs with Guaranteed Treewidth for Accurate and Efficient Graphical Inference” proposed a graph sampling method that generates bounded-treewidth subgraphs for efficient belief propagation.
A paper is accepted to BigData 2019, a top tier data mining conference. The paper “Data Context Adaptation for Accurate Recommendation with Additional Information” proposed a neural network based algorithm for recommendation that factorizes a rating matrix and an auxiliary matrix.
M.S./Ph.D. student Jaemin Yoo won Google PhD Fellowship in the area of Machine Learning. Google PhD Fellowship Program is given to outstanding graduate students doing exceptional work in computer science and related research areas. Congratulations!
A paper is accepted to NIPS 2019, a top tier AI conference. The paper “Knowledge Extraction with No Observable Data” proposed a GAN-based neural architecture that generates artificial data from a trained teacher model when no real data are observable.
M.S. student Chun Quan won the Master's Dissertation Excellence Award. Master's Dissertation Excellence Award is given to excellent Master's dissertation in the Department of Computer Science and Engineering at Seoul National University. Congratulations!