Xuan-May Le

According to our database, Xuan-May Le authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection.

Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David Berlowitz, Mark Howard

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2025

Enhancing Dataset Distillation via Non-Critical Region Refinement.

Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Q. Phung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation.

Minh-Tuan Tran, Trung Le, Xuan-May Le, Jianfei Cai, Mehrtash Harandi, Dinh Q. Phung

CoRR, 2024

ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.

Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation.

Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning.

Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation.

Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung

CoRR, 2023

2022

Learning Perceptual Position-Aware Shapelets for Time Series Classification.

Xuan-May Le, Minh-Tuan Tran, Van-Nam Huynh

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022