Minh-Tuan Tran

17 papers A* 4C 1Journal 9Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling.
CoRR
Minh-Tuan Tran, Xuan-May Le, Quan Hung Tran, Mehrtash Harandi, Dinh Q. Phung, Trung Le
2025 A* conf
Enhancing Dataset Distillation via Non-Critical Region Refinement.
CVPR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Q. Phung
2025 J jnl
Enhancing Dataset Distillation via Non-Critical Region Refinement.
CoRR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Thanh-Toan Do, Dinh Phung
2025 — conf
SHIP: A Shapelet-Based Approach for Interpretable Patient-Ventilator Asynchrony Detection.
PAKDD (2)
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David Berlowitz, Mark Howard
2025 J jnl
SHIP: A Shapelet-based Approach for Interpretable Patient-Ventilator Asynchrony Detection.
CoRR
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran, David Berlowitz, Mark Howard
2024 J jnl
Koopman based trajectory model and computation offloading for high mobility paradigm in ISAC enabled IoT system.
CoRR
Minh-Tuan Tran
2024 J jnl
Large-Scale Data-Free Knowledge Distillation for ImageNet via Multi-Resolution Data Generation.
CoRR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Jianfei Cai, Mehrtash Harandi, Dinh Q. Phung
2024 A* conf
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation.
CVPR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung
2024 A* conf
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.
KDD
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
2024 J jnl
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification.
CoRR
Xuan-May Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran
2024 A* conf
Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning.
CVPR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung
2024 J jnl
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning.
CoRR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung
2023 J jnl
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization.
CoRR
Tuan Truong, Hoang-Phi Nguyen, Tung Pham, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung, Trung Le
2023 J jnl
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation.
CoRR
Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung
2022 C conf
Engagement Estimation using Time-series Facial and Body Features in an Unstable Dataset.
ICCE
Xianwen Zheng, Minh-Tuan Tran, Koichi Ota, Teruhiko Unoki, Shinobu Hasegawa
2022 — conf
Learning Perceptual Position-Aware Shapelets for Time Series Classification.
ECML/PKDD (6)
Xuan-May Le, Minh-Tuan Tran, Van-Nam Huynh
2021 — conf
Estimation of Learners' Engagement Using Face and Body Features by Transfer Learning.
HCI (36)
Xianwen Zheng, Shinobu Hasegawa, Minh-Tuan Tran, Koichi Ota, Teruhiko Unoki