Minh-Tuan Tran

Master Student at SGVR Lab, School of Computing, KAIST

About Me

Research Interest: Deep Learning, Computer Vision, Time Series and Graph Mining

I am currently a masters student at the School of Computing, KAIST. I am very fortunate to be advised by Prof. Sung-Eui Yoon. I received my B.S. in Computer Science from Ton Duc Thang University.

Contact Details

Email: tmtuan (at) kaist.ac.kr / tmtuan1307 (at) gmail.com

Website: Google Scholar LinkedIn

Github: https://github.com/tmtuan1307


Korea Advanced Institute of Science & Technology (KAIST)
M.S in Computer Science (Sep. 2020 - Now )

Ton Duc Thang University
B.S in Computer Science (Sep. 2013 - Sep. 2017)


Work in progress:

Minh-Tuan Tran, Sung-Eui Yoon. Easier tasks for better distillation.

In review:

Minh-Tuan Tran, Xuan-May Le, Sung-Eui Yoon. Shapelet Adaptation Network for Time Series Classification. IEEE International Conference on Data Mining (ICDM), 2022. (a top tier data mining conference)

Minh-Tuan Tran, Xuan-May Le, Sung-Eui Yoon. PISD: perceptual and position-aware important subsequence distance for time series. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022. (IF: 6.997)


[c3] Xuan-May Le*, Minh-Tuan Tran*, Van-Nam Huynh. Learning Perceptual Position-aware Shapelets for Time series Classification. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), 2022. (a top tier data mining conference) (Two first authors contributed equally) (Accepted)

[j2] Xuan-May Le*, Minh-Tuan Tran*, Hien T Nguyen. An Improvement of SAX Representation for Time Series by Using Complexity Invariance. Intelligent Data Analysis (IDA), 2020. (IF: 0.86) (Two first authors contributed equally)

[j1] Minh-Tuan Tran, Xuan-May Le, Hien T Nguyen, Van-Nam Huynh. A Novel Non-Parametric Method for Time Series Classification Based on k-Nearest Neighbors and Dynamic Time Warping Barycenter Averaging. Engineering Applications of Artificial Intelligence (EAAI), 2019. (IF: 6.212)

[c2] Minh-Tuan Tran, Xuan-May Le, Vo Thanh Vinh, Hien T Nguyen, Tuan .M Nguyen. A Weighted Local Mean-based k-Nearest Neighbors Classifier for Time Series. International Conference on Machine Learning and Computing (ICMLC), 2017.

[c1] Thuc-Doan Do, Minh-Tuan Tran, Xuan-May Le, Thuy-Van Duong. Detecting Special Lecturers Using Information theory-based Outlier Detection Method. International Conference on Compute and Data Analysis (ICCDA), 2017.


International Graduate Student Scholarship, KAIST, 2020-2022

Top 20 Outstanding Students in Ton Duc Thang University, 2016-2017

NAFOSTED Grant Program for Research Support Activities 2017



Vietnamese (mother tongue), English (fluent)

Programming Languages:

Tensorflow, Pytorch, Matlab, Python, Java, C#, C++, Android, Kotlin