| 2025 | CVPR | Enhancing Dataset Distillation via Non-Critical Region Refinement. | Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Q. Phung |
| 2025 | PAKDD | 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 |
| 2024 | CVPR | Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. | Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung |
| 2024 | CVPR | 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 |
| 2024 | KDD | ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. | Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran |
| 2022 | ICCE | Engagement Estimation using Time-series Facial and Body Features in an Unstable Dataset. | Xianwen Zheng, Minh-Tuan Tran, Koichi Ota, Teruhiko Unoki, Shinobu Hasegawa |
| 2021 | HCI | Estimation of Learners' Engagement Using Face and Body Features by Transfer Learning. | Xianwen Zheng, Shinobu Hasegawa, Minh-Tuan Tran, Koichi Ota, Teruhiko Unoki |