Data Mining Lab.
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.
What's New
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[Oct. 2024] 3 papers accepted to BigData 2024, a top tier data mining conference.
3 papers from Data Mining Lab are accepted to BigData 2024, a top tier data mining conference. Congratulations!
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[Oct. 2024] A paper accepted to WSDM 2025, a top tier data mining conference.
A paper is accepted to WSDM 2025, a top tier data mining conference. The paper "Sequentially Diversified and Accurate Recommendations in Chronological Order for a Series of Users " proposed a reranking method that diversifies the recommendation results based on items' potential exposure opportunities.
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[Sep. 2024] Minjun Kim won Youlchon AI Research Fellowship
M.S./Ph.D. student Minjun Kim won Youlchon AI Research Fellowship in the area of Artificial Intelligence. Youlchon AI Research Fellowship is given to outstanding graduate students doing exceptional work in AI. Congratulations!
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[Jul. 2024] A paper accepted to CIKM 2024, a top tier data mining conference.
A paper is accepted to CIKM 2024, a top tier data mining conference. The paper "Fast and Accurate PARAFAC2 Decomposition for Time Range Queries on Irregular Tensors" proposed REPEAT, a fast and accurate PARAFAC2 decomposition method for handling arbitrary time range queries on irregular tensors.
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[Jun. 2024] A paper accepted to Interspeech 2024, a top tier speech and language processing conference.
A paper accepted to Interspeech 2024, a top tier speech and language processing conference. The paper "Domain-Aware Data Selection for Speech Classification via Meta-Reweighting" proposed DoReMe, a data selection method for accurate speech classification on a target domain.