Minh-Tuan Tran
About Me
Research Interest: Deep Learning, Machine Learning, Computer Vision and Time Series
I am currently a PhD student at the Faculty of Information Technology, Monash University. I am very fortunate to be advised by Prof. Dinh Phung and Dr. Trung Le. I received my M.S in Computer Science from KAIST and B.S. in Computer Science from Ton Duc Thang University.
Contact Details
Email: tuan.tran7 (at) monash.edu / tmtuan1307 (at) gmail.com
Website: Google Scholar, LinkedIn, GitHub
EDUCATION
Monash University, Melbourne, Australia
Ph.D in Artificial Intelligence (March 2023 - Now)
Korea Advanced Institute of Science & Technology (KAIST), Daejeon, Korea
M.S in Computer Science (Sep. 2020 - Sep 2022)
Ton Duc Thang University, Ho Chi Minh City, Vietnam
B.S in Computer Science (Sep. 2013 - Sep. 2017)
PUBLICATION
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung.
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024. (top tier conference)
Source code is available here.Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Phung.
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024. (top tier conference)
Source code is available here.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), Grenoble, France, 2022. (top tier conference)
Source code is available here.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: 1.70).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: 8.00)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), Singapore, 2017.
AWARDS & HONORS
Monash International Tuition Scholarship (MITS) and Research Training Program Scholarship (RTP), Monash, 2023-Now
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