Tuan Nguyen

15 papers A* 4A 2B 1Journal 5Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation.
CoRR
Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung
2024 J jnl
Connective Viewpoints of Signal-to-Noise Diffusion Models.
CoRR
Khanh Doan, Long Tung Vuong, Tuan Nguyen, Anh Tuan Bui, Quyen Tran, Thanh-Toan Do, Dinh Phung, Trung Le
2024 — conf
DiffAugment: Diffusion Based Long-Tailed Visual Relationship Recognition.
ECCV Workshops (20)
Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do
2024 J jnl
DiffAugment: Diffusion based Long-Tailed Visual Relationship Recognition.
CoRR
Parul Gupta, Tuan Nguyen, Abhinav Dhall, Munawar Hayat, Trung Le, Thanh-Toan Do
2023 J jnl
Class-Prototype Conditional Diffusion Model for Continual Learning with Generative Replay.
CoRR
Khanh Doan, Quyen Tran, Tuan Nguyen, Dinh Q. Phung, Trung Le
2022 A conf
Cycle class consistency with distributional optimal transport and knowledge distillation for unsupervised domain adaptation.
UAI
Tuan Nguyen, Van Nguyen, Trung Le, He Zhao, Quan Hung Tran, Dinh Q. Phung
2021 A* conf
LAMDA: Label Matching Deep Domain Adaptation.
ICML
Trung Le, Tuan Nguyen, Nhat Ho, Hung Bui, Dinh Phung
2021 A conf
Most: multi-source domain adaptation via optimal transport for student-teacher learning.
UAI
Tuan Nguyen, Trung Le, He Zhao, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung
2021 J jnl
On Label Shift in Domain Adaptation via Wasserstein Distance.
CoRR
Trung Le, Dat Do, Tuan Nguyen, Huy Nguyen, Hung Bui, Nhat Ho, Dinh Q. Phung
2021 A* conf
STEM: An approach to Multi-source Domain Adaptation with Guarantees.
ICCV
Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung
2021 A* conf
TIDOT: A Teacher Imitation Learning Approach for Domain Adaptation with Optimal Transport.
IJCAI
Tuan Nguyen, Trung Le, Nhan Dam, Quan Hung Tran, Truyen Nguyen, Dinh Q. Phung
2020 A* conf
A Relational Memory-based Embedding Model for Triple Classification and Search Personalization.
ACL
Dai Quoc Nguyen, Tuan Nguyen, Dinh Phung
2020 — conf
Deep Cost-Sensitive Kernel Machine for Binary Software Vulnerability Detection.
PAKDD (2)
Tuan Nguyen, Trung Le, Khanh Nguyen, Olivier Y. de Vel, Paul Montague, John C. Grundy, Dinh Phung
2019 — conf
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection.
ICLR (Poster)
Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu
2016 B conf
Fuzzy Kernel Stochastic Gradient Descent machines.
IJCNN
Tuan Nguyen, Phuong Duong, Trung Le, Anh Le, Viet Ngo, Dat Tran, Wanli Ma