Scholar
Thi Xuan May Le (May)
Google Scholar ID: 5UYlHHEAAAAJ
Ph.D Student at The University of Melbourne
Citations & Impact
Citations
175
H-index
7
i10-index
6
Publications
16
Co-authors
11
list available
Contact
Resume
Academic Achievements
- Published 'Enhancing Dataset Distillation via Non-Critical Region Refinement' at IEEE/CVF CVPR 2025 (CORE A*)
- Published 'SHIP: A Shapelet-based Approach for Interpretable Patient-Ventilator Asynchrony Detection' at PAKDD 2025
- Published 'PISD: A linear complexity distance beats dynamic time warping on time series classification and clustering' in Engineering Applications of Artificial Intelligence (2024, IF: 7.5)
- Published 'ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification' at ACM SIGKDD 2024 (CORE A*), with video over 9000 views
- Published two papers at CVPR 2024: 'Text-Enhanced Data-free Approach for Federated Class-Incremental Learning' and 'NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation' (both CORE A*)
- Published 'Learning Perceptual Position-aware Shapelets for Time series Classification' at ECML PKDD 2022 (CORE A)
- Published 'An Improvement of SAX Representation for Time Series by Using Complexity Invariance' in Intelligent Data Analysis (2020, IF: 1.70)
- Published 'A Novel Non-Parametric Method for Time Series Classification Based on k-Nearest Neighbors and Dynamic Time Warping Barycenter Averaging' in Engineering Applications of Artificial Intelligence (2019, IF: 7.5)
- Published 'Detecting Special Lecturers Using Information theory-based Outlier Detection Method' at CCDA 2017
Background
- Third-year Ph.D. student at the School of Computing and Information Systems, The University of Melbourne
- Research interests: Machine Learning, Time Series Data Mining, Computer Vision, and AI for Healthcare
- Advised by Prof. Uwe Aickelin and Dr. Ling Luo
- Honorary Project Student at Austin Hospital, Melbourne, Australia, working on Patient-Ventilator Asynchrony Detection
- Supported by Melbourne Research Scholarship and Google PhD Fellowship
