Minh-Tuan Tran
About Me
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.
Research Area: Deep Learning, Machine Learning, Computer Vision and Time Series
I am currently interested in transfer learning from large models, small-scale dataset expansion, federated learning, continual learning, and their application in the healthcare data, such as medical images and time series.
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.
CVPR 2024, Seattle, USA. (CORE A*)
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.
CVPR 2024, Seattle, USA. (CORE A*)
Source code is available here.Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran.
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.
KDD 2024, Barcelona, Spain (CORE A*)
Source code is available here.Xuan-May Le*, Minh-Tuan Tran*, Van-Nam Huynh.
Learning Perceptual Position-aware Shapelets for Time series Classification.
ECML PKDD 2022, Grenoble, France. (CORE A)
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.
ICMLC 2017, Singapore.
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