Learning Perceptual Position-Aware Shapelets for Time Series Classification. - Xuan-May Le; Minh-Tuan Tran; Van-Nam Huynh (ECML/PKDD (6), 2022)

Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Mehrtash Harandi; Quan Hung Tran; Dinh Q. Phung (CoRR, 2023)

Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Mehrtash Harandi; Dinh Phung 001 (CVPR, 2024)

NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Mehrtash Harandi; Quan Hung Tran; Dinh Q. Phung (CVPR, 2024)

ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. - Xuan-May Le; Ling Luo 002; Uwe Aickelin; Minh-Tuan Tran (KDD, 2024)

Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Jianfei Cai 001; Mehrtash Harandi; Dinh Q. Phung (CoRR, 2024)

Enhancing Dataset Distillation via Non-Critical Region Refinement. - Minh-Tuan Tran; Trung Le 001; Xuan-May Le; Thanh-Toan Do; Dinh Q. Phung (CVPR, 2025)

SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection. - Xuan-May Le; Ling Luo 002; Uwe Aickelin; Minh-Tuan Tran; David Berlowitz; Mark Howard (PAKDD (2), 2025)