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.
M.S./Ph.D student Jun-gi Jang won Qualcomm Innovation Fellowship Korea for his work "Fast and Memory-Efficient Tucker Decomposition for Answering Diverse Time Range Queries". Qualcomm Innovation Fellowship Korea is given to outstanding graduate students doing exceptional work in the field of artificial intelligence. Congratulations!
The paper "Accurate Graph-Based PU Learning without Class Prior" is accepted to ICDM 2021, a top tier data mining conference. This paper proposed a supervised and scalable algorithm based on Loopy belief propagation to solve a node classification problem on edge-attributed networks.
M.S./Ph.D student Jun-gi Jang won Youlchon AI Star Fellowship in the area of Artificial Intelligence. Youlchon AI Star Fellowship Program is given to outstanding graduate students doing exceptional work in AI. Congratulations!
Jun-gi Jang won the Best Paper Award from KDD 2021, the world-best data science and AI conference. Congratulations!
4 papers from Data Mining Lab are accepted in KDD 2021, the world-best data science and AI conference. Congratulations!