Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Phung.
Enhancing Dataset Distillation via Non-Critical Region Refinement.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, USA, 2025. (CORE A*)
Source code is available here.
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David J Berlowitz, Mark E Howard.
SHIP: A Shapelet-based Approach for Interpretable Patient-Ventilator Asynchrony Detection.
The 29th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), Sydney, Australia, 2025
Minh-Tuan Tran*, Xuan-May Le*, Van-Nam Huynh, Sung-Eui Yoon.
PISD: A linear complexity distance beats dynamic time warping on time series classification and clustering.
Engineering Applications of Artificial Intelligence, 2024 (IF: 7.5)
Source code is available here
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran,
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.
The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 2024 (CORE A*)
Source code is available here, Video is available here (more than 9000 views)
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. (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.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024. (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.
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), Grenoble, France, 2022. (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: 7.5)
Thuc‑Doan Do, Minh‑Tuan Tran, Xuan‑May Le, Thuy‑Van Duong.
Detecting Special Lecturers Using Information theory‑ based Outlier Detection Method.
Proceedings of the International Conference on Compute and Data Analysis (CCDA), 2017.
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.
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Jianfei Cai, Dinh Phung.
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation
2025 Tutor of The Year (shortlisted), The University of Melbourne
2024 Engineering and IT Conference Travel Scholarship
2024 Melbourne School of Engineering Travelling Scholarship (CIS)
2023 Melbourne Research Scholarship, The University of Melbourne
2023 Dean’s Award, JAIST
2022 ECML PKDD Travel Grant
2021‑2023 Japanese Government (MEXT) Scholarship for Master Students, JAIST
2020‑2021 Japanese Government (MEXT) Scholarship for Research Students, JAIST
TEACHING & ACADEMIC EXPERIENCE
Academic Tutor, COMP90049 Introduction to Machine Learning, the University of Melbourne, 02/2025 - Present
Academic Tutor, COMP10002 Foundations of Algorithms, the University of Melbourne, 07/2024 - Present
Head Tutor, COMP90086 Computer Vision, the University of Melbourne, 07/2024 - Present
Academic Tutor, ISYS3446 Introduction to Business Analysis, Royal Melbourne Institute of Technology (RMIT), 02/2025 - 07/2025
Academic Tutor, COMP30027 Machine Learning, the University of Melbourne, 02/2024 - 7/2025
Casual Marker, COMP90051 Statistical Machine Learning, the University of Melbourne, 02/2024 - 12/2024
Bachelor Thesis Mentor - Ton Duc Thang University
Linh Huynh and Thinh Bui. Transformer-based Time Series Classification, 02/2025 - Present
Quang Tran. Time Series Classification and Its Application on ECG Abnormal Detection, 02/2025 - Present
Nguyen Do. Non-parametric Methods for Time Series Classification, 02/2025 - Present
Reviewer of the KDD 2024, KDD 2025, NeurIPS 2025
Lab Assistant ‑ JAIST, Japan, 02/2023 - 06/2023
Beyond my research, I have a deep passion for food, travel, and photography. I love exploring diverse cuisines and uncovering unique flavors from around the world. Traveling not only allows me to experience new cultures and breathtaking landscapes but also fuels my love for photography, as I enjoy capturing the beauty and essence of each place I visit. These experiences enrich my life and inspire me both personally and professionally. Here are some photos I took in Spain, Switzerland, Italy, Australia, Japan,...
