Tuan Nguyen

According to our database, Tuan Nguyen authored at least 14 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Connective Viewpoints of Signal-to-Noise Diffusion Models.

Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le

CoRR, 2024

A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.

Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung

CoRR, 2024

DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition.

Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do

CoRR, 2024

2023

Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay.

Khanh Doan, Quyen Tran, Tuan Nguyen, Dinh Q. Phung, Trung Le

CoRR, 2023

2022

Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation.

Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

On Label Shift in Domain Adaptation via Wasserstein Distance.

Trung Le, Dat Do, Tuan Nguyen, Huy Nguyen, Hung Bui, Nhat Ho, Dinh Q. Phung

CoRR, 2021

Most: multi-source domain adaptation via optimal transport for student-teacher learning.

Tuan Nguyen, Trung Le, He Zhao, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport.

Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

LAMDA: Label Matching Deep Domain Adaptation.

Trung Le, Tuan Nguyen, Nhat Ho, Hung Bui, Dinh Phung

Proceedings of the 38th International Conference on Machine Learning, 2021

STEM: An approach to Multi-source Domain Adaptation with Guarantees.

Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection.

Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

A Relational Memory-based Embedding Model for Triple Classification and Search Personalization.

Dai Quoc Nguyen, Tuan Nguyen, Dinh Phung

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.

Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu

Proceedings of the 7th International Conference on Learning Representations, 2019

2016

Fuzzy Kernel Stochastic Gradient Descent machines.

Tuan Nguyen, Phuong Duong, Trung Le, Anh Le, Viet Ngo, Dat Tran, Wanli Ma

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016