Xuan-May Le

EDUCATION

The University of Melbourne,  Australia
Doctoral Student  in Computer Science (August 2023 - Now)

Japan Advanced Institute of Science & Technology (JAIST), Ishikawa, Japan
Research and Master Student in Computer Science (Sep. 2020 - June 2023)

PUBLICATION

1. 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

2. 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 (top tier conference)
   Source code is available here.

3. 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.

4. 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.

5. 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.

6. 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).

7. 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)

8. 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.

9. 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.

PREPRINTS

1. 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 

2. Minh-Tuan Tran, Trung Le, Xuan-May Le, Dinh Phung.  
   Enhancing Dataset Distillation via Non-Critical Region Refinement 

3. 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

AWARDS & HONORS

• 2023 Melbourne Research Scholarship, The University of Melbourne

• 2023 Dean’s Award, JAIST

• 2021‑2023 Japanese Government (MEXT) Scholarship for Master Students, JAIST 

• 2020‑2021 Japanese Government (MEXT) Scholarship for Research Students, JAIST 

TEACHING & ACADEMIC EXPERIENCE

• Tutor of Machine Learning, Computer Vision, and Fundamental of Algorithms courses.

• Reviewer of the KDD conference.