Improving Pareto Front Learning via Multi-Sample Hypernetworks LP Hoang, DD Le, TA Tran, TT Ngoc AAAI Conference on Artificial Intelligence 2023, 2022 | 16 | 2022 |
A framework for controllable pareto front learning with completed scalarization functions and its applications TA Tran, LP Hoang, DD Le, TN Tran Neural Networks 169, 257-273, 2023 | 7 | 2023 |
Multi deep learning model for building footprint extraction from high resolution remote sensing image HT Anh, TA Tuan, HP Long, LH Ha, TN Thang Intelligent Systems and Networks: Selected Articles from ICISN 2022, Vietnam …, 2022 | 6 | 2022 |
A stochastic logistic sigmoid regression using convex programming and clustering TA Tuan, TN Thang, VV Hoang, NTN Anh 2021 International Conference on Technologies and Applications of Artificial …, 2021 | 1 | 2021 |
A Hyper-Transformer model for Controllable Pareto Front Learning with Split Feasibility Constraints TA Tuan, NV Dung, TN Thang arXiv preprint arXiv:2402.05955, 2024 | | 2024 |
A Novel Approach in Solving Stochastic Generalized Linear Regression via Nonconvex Programming VD Anh, TA Tuan, TN Thang, NTN Anh arXiv preprint arXiv:2401.08488, 2024 | | 2024 |
Adaptive Conflict-Averse Multi-gradient Descent for Multi-objective Learning DV Tuan, TA Tuan, ND Anh, BK Duy, TN Thang International Conference on Intelligence of Things, 57-67, 2023 | | 2023 |
An efficient pedestrian attribute recognition system under challenging conditions HX Nguyen, DN Hoang, TA Tran, TM Dang Machine Graphics & Vision 32 (2), 2023 | | 2023 |