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Conference and Workshop Papers
- 2024
[c5]Minh-Tuan Tran
, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung:
NAYER: Noisy Layer Data Generation for Efficient and Effective Data-free Knowledge Distillation. CVPR 2024: 23860-23869- [c4]Minh-Tuan Tran, Trung Le, Xuan-May Le, Mehrtash Harandi, Dinh Phung:
Text-Enhanced Data-Free Approach for Federated Class-Incremental Learning. CVPR 2024: 23870-23880 - [c3]Xuan-May Thi Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran:
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. KDD 2024: 1484-1494 - 2022
- [c2]Xuan-May Thi Le, Minh-Tuan Tran, Van-Nam Huynh:
Learning Perceptual Position-Aware Shapelets for Time Series Classification. ECML/PKDD (6) 2022: 53-69 - 2021
- [c1]Xianwen Zheng, Shinobu Hasegawa, Minh-Tuan Tran, Koichi Ota, Teruhiko Unoki:
Estimation of Learners' Engagement Using Face and Body Features by Transfer Learning. HCI (36) 2021: 541-552
Informal and Other Publications
- 2024
- [i5]Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Dinh Phung:
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning. CoRR abs/2403.14101 (2024) - [i4]Xuan-May Thi Le, Ling Luo, Uwe Aickelin, Minh-Tuan Tran:
ShapeFormer: Shapelet Transformer for Multivariate Time Series Classification. CoRR abs/2405.14608 (2024) - [i3]Minh-Tuan Tran:
Koopman based trajectory model and computation offloading for high mobility paradigm in ISAC enabled IoT system. CoRR abs/2406.19871 (2024) - 2023
- [i2]Tuan Truong, Hoang-Phi Nguyen, Tung Pham, Minh-Tuan Tran, Mehrtash Harandi, Dinh Phung, Trung Le:
RSAM: Learning on manifolds with Riemannian Sharpness-aware Minimization. CoRR abs/2309.17215 (2023) - [i1]Minh-Tuan Tran, Trung Le, Xuan-May Thi Le, Mehrtash Harandi, Quan Hung Tran, Dinh Q. Phung:
Unleash Data Generation for Efficient and Effective Data-free Knowledge Distillation. CoRR abs/2310.00258 (2023)
Coauthor Index
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