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.
Ph.D. student Hyunsik Jeon won CIKM 2022 Travel Award for his conference registration. Hyunsik will present his paper "Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge" in CIKM 2022. Congratulations!
The paper "Accurate Action Recommendation for Smart Home via Two-Level Encoders and Commonsense Knowledge" is accepted to CIKM 2022, a top tier data mining conference. The paper proposed a SmartSense, an accurate action recommendation method for smart home.
The paper "Accurate Node Feature Estimation with Structured Variational Graph Autoencoder" is accepted to KDD 2022, the world-best data science and AI conference. The paper proposed a SVGA (Structured Variational Graph Autoencoder), an accurate method for feature estimation.
Jun-gi Jang won the Best Paper Award from ICDE 2022, a top tier database conference. Congratulations!
The paper "DPar2: Fast and Scalable PARAFAC2 Decomposition for Irregular Dense Tensors" is accepted to ICDE 2022, a top tier database conference. The paper proposed DPar2, a fast and scalable PARAFAC2 decomposition method for irregular dense tensors.