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

  • [May. 2024] 3 papers accepted to KDD 2024, the world-best data science and AI conference.

    3 papers from Data Mining Lab are accepted to KDD 2024, the world-best data science and AI conference. Congratulations!

  • [Feb. 2024] A paper accepted to PAKDD 2024, a top tier data mining conference.

    A paper is accepted to PAKDD 2024, a top tier data mining conference. The paper “Accurate Semi-supervised Automatic Speech Recognition via Multi-hypotheses-based Curriculum Learning” proposed an accurate semi-supervised automatic speech recognition framework utilizing multiple hypotheses of speech instances and curriculum learning to consider uncertainty of pseudo labels and improve speech recognition performance.

  • [Jan. 2024] A paper accepted to The Web Conference 2024, a top tier data mining conference.

    A paper is accepted to The Web Conference 2024, a top tier data mining conference. The paper "Accurate Cold-start Bundle Recommendation via Popularity-based Coalescence and Curriculum Heating" proposed COHEAT, an accurate method for cold-start bundle recommendation.

  • [Jan. 2024] A paper accepted to ICLR 2024, a top tier AI conference.

    A paper is accepted to ICLR 2024, a top tier AI conference. The paper “Accurate Retraining-free Pruning for Pretrained Encoder-based Language Models” proposed Kprune, an accurate retraining-free structured pruning algorithm for pretrained encoder-based language models.

  • [Nov. 2023] Huiwen Xu won the grand prize at the 15th Electronic Newspaper ICT Thesis Contest

    Ph.D. student Huiwen Xu won the grand prize at the 15th Electronic Newspaper ICT Thesis Contest. The grand prize of the Electronic Newspaper ICT Thesis Contest is awarded to a student who has conducted excellent research related to ICT. Congratulations!

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