Manh Tuan Do

Ph.D. Student
KAIST
manh.it97 (at) kaist.ac.kr

About Me

I am a Ph.D. student at Kim Jaechul Graduate School of AI, KAIST. My major research interests include Data Mining, Social Network Analysis, and Machine Learning. I have been very fortunate to be advised by Professor Kijung Shin at Data Mining Lab.

Research Interests

Data Mining: hypergraph mining, social network analysis, algorithm design.
Machine Learning: generative AI, NLP, interpretability.
Applied Mathematics: optimization, statistics, probability.

Education

[Sep. 2019 - Present] Integrated M.S. - Ph.D. in Artificial Intelligence (KAIST).
[Sep. 2015 - Aug. 2019] B.S. in Electrical Engineering & Mathematics (KAIST).

Publications

KDD

Unsupervised Alignment of Hypergraphs with Different Scales

Manh Tuan Do, Kijung Shin* (*Corresponding author)

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024 (To Appear).

DAMI

Improving the Core Resilience of Real-world Hypergraphs

Manh Tuan Do, Kijung Shin* (*Corresponding author)

Data Mining and Knowledge Discovery Journal (DAMI), 2023.

Paper Code

NPL

Two-stage Training of Graph Neural Networks for Graph Classification

Manh Tuan Do, Noseong Park, Kijung Shin* (*Corresponding author)

Neural Processing Letters Journal (NPL), 2023.

Paper Code

KDD

Structural Patterns and Generative Models of Real-world Hypergraphs

Manh Tuan Do, Se-eun Yoon, Bryan Hooi, Kijung Shin* (*Corresponding author)

ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2020.

Paper Code

Academic Services

Journal Reviewership

Big Data Research Journal

Teaching Assistantship

AI607 - Graph Mining and Social Network Analysis: 2023 Fall, 2019 Fall
EE210 - Probability and Introductory Random Processes: 2020 Fall

Conference (Sub)-Reviewership