MINDS Lab
Machine INtelligence & Data Science Laboratory
Chung-Ang University

"From Real-world Data to Knowledge and Societal Impact"

About MINDS Lab 💻

We aim to advance Data Science (DS), Machine Learning (ML), and Artificial Intelligence (AI) technologies for the benefit of society by deepening the understanding of diverse data sources—including graph and hypergraph data, time-series data, heterogeneous data, streaming data, and multi-modal data—and by harnessing their unique properties. Our research interests includes, but not limited to, Graph Mining, Scalable Machine Learning, Time-Series Analysis, and Trustworthy AI.

Graph Mining

Graph/Hypergraph Representation Learning
Knowledge Graph Reasoning and Applications

Scalable Machine Learning

Large-Scale Graph Database Engines
Distributed Machine Learning

Search & Recommendation

Personalized Recommender Systems
Retrieval-Augmented Generation (RAG)

Time-Series Analysis

Time-Series Forecasting and Reconstruction
Multivariate Time-Series Anomaly Detection

Social Data Science

Social Network Analysis and Mining
Mitigating Social and Political Polarization

Trustworthy AI

Fairness and Explainability in AI Models
Machine Unlearning on Graphs

Joining Our Lab 👨‍🎓

We are looking for self-motivated and enthusiastic graduate students as well as undergraduate research interns. If you are interested in joining our team or have any inquiries, please reach out to us at yyko {@} cau.ac.kr with your CV and a brief introduction of yourself (including your research interests and motivation for joining our lab). Since we have limited slots for graduate students, we strongly encourage students to gain experience with our lab as research interns before applying.

(Updated: Aug, 2025) We currently do not have any available slots for graduate students in the Fall 2025 semester. Please check back next semester for availability.

News 🎉

📄 [2025.11] One paper has been accepted to ACM WSDM 2026 [BKCSA 3] (Short Paper Track). Congratulation!
📄 [2025.11] One paper has been accepted to ACM KDD 2026 [BKCSA 4] (Research Track). Congratulation!
📄 [2025.08] Two papers have been accepted to ACM CIKM 2025 [BKCSA 3] (one Full paper and one Short paper). Congratulation!
💻 [2025.04] Our lab started a new research project "Data-Centered Threshold Selection for Multivariate Tim-Series Anomaly Detection" (제어시스템 이상 탐지 모델을 위한 임계값 설정 방안 성능 분석 연구) with the National Security Research Institute (NSR) (국가보안기술연구소). Congratulation!
📄 [2025.01] Two papers have been accepted to WWW 2025 [BKCSA 4] (one Full paper and one Short paper). Congratulation!
📄 [2025.01] A paper has been accepted to IEEE TKDE [Q1: IF Top 1.8%]. Congratulation!
💻 [2024.10] Our lab started a new research project "Knowledge Hypergraph Learning and Reasoning for Real-World Applications" (실세계 응용을 위한 지식 하이퍼그래프 학습 및 추론 기술), supported by the National Research Foundation of Korea (NRF) (한국연구재단) (중견연구). Congratulation!
💻 [2024.05] Our lab started a new research project "Performance Analysis of AI models for Time-Series Anomaly Detection according to Input Tags" (AI모델의 입력태그에 따른 제어시스템 이상탐지 성능분석 연구) with the National Security Research Institute (NSR) (국가보안기술연구소). Congratulation!
📄 [2024.03] A paper has been accepted to ACM CSCW 2024 [BKCSA 3]. Congratulation!
👏 [2024.03]. Dr. Yunyong Ko joined the School of Computer Science and Engineering at CAU.

Research Highlights ✨

MINDS LabMachine INtelligence & Data Science LaboratoryChung-Ang University"From Real-world Data to Knowledge and Societal Impact"