Welcome to the LearnData Lab

Machine Learning and Data Mining Research lab at SKKU

We are a dynamic research group at Sungkyunkwan University (SKKU). Our mission is to advance the fields of machine learning, data mining, trustworthy AI, and natural language processing through both theoretical and applied research.

Research Areas

1. Machine Learning & Data Mining for Interconnected Data

We develop models designed to handle complex, interconnected data sources such as human interactions, knowledge graphs, ontologies, educational logs, multi-modal graphs, and multi-sensor data.

2. Explainable and Trustworthy AI

Our research emphasizes building AI systems that are both interpretable and reliable, with a focus on graph-based ML models and generative models.

3. Natural Language Processing (NLP)

In NLP, we investigate methods to responsibly enhancing large language models (LLMs). Our work spans machinastic interpretability, knowledge-enhanced LLMs, knowledge editing, watermarking techniques, and both logical and symbolic reasoning.

We are looking for passionate new M.S./Ph.D. students and Postdocs to join the team (more info) !

Open positions are available for MS/PhD students and Postdoctoral researchers in the Artificial Intelligence and AI System Departments.

We are grateful for funding from the National Research Foundation of Korea (NRF), BK21, Information & Communications Technology Planning & Evaluation (IITP), National IT Industry Promotion Agency (NIPA), Korea Creative Content Agency (KOCCA), LG Electronics, Samsung Research, NCSOFT, and NAVER.

News

Aug. 2025

A paper has been accepted to the CIKM 2025. Congratulations, Minku!

July 2025

I gave a talk titled Providing Explanations for Unsupervised Graph Learning Models at the University of British Columbia.

May. 2025

A paper has been accepted to the ACL 2025. Congratulations, Hongjun, Minji,and Heesoo!

May. 2025

A paper has been accepted to the KDD 2025. Congratulations, Heesoo, Chanyong, and Geonhee!

May. 2025

A paper has been accepted to the ICML 2025. Congratulations, Woohyun!

Feb. 2025

A paper has been accepted to the PAKDD 2025. Congratulations, Hongjun, Heesoo, Gayeong, and Juann!

Jan. 2025

A paper has been accepted to the NAACL 2025. Congratulations, Jiwon!

Jan. 2025

A paper has been accepted to the WWW 2025. Congratulations, Heesoo!

Dec. 2024

Two papers have been accepted to the AAAI 2025. Congratulations, Sangho, Hyunju, and Geonhee!

... see all News