Enhanced Fashion Attribute Learning Framework adapts to Attributes' inner-group Correlations and Imbalanced Data. - Ngoc Quoc Ly; Tuong KL. Do; Binh X. Nguyen (KSE, 2018)

Overcoming Data Limitation in Medical Visual Question Answering. - Binh D. Nguyen; Thanh-Toan Do; Binh X. Nguyen; Tuong Do; Erman Tjiputra; Quang D. Tran (MICCAI (4), 2019)

Large-Scale Coarse-to-Fine Object Retrieval Ontology and Deep Local Multitask Learning. - Ngoc Quoc Ly; Tuong KL. Do; Binh X. Nguyen (Comput. Intell. Neurosci., 2019)

Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding. - Binh X. Nguyen; Binh D. Nguyen; Gustavo Carneiro 001; Erman Tjiputra; Quang D. Tran; Thanh-Toan Do (BMVC, 2020)

Multiple Interaction Learning with Question-Type Prior Knowledge for Constraining Answer Search Space in Visual Question Answering. - Tuong Do; Binh X. Nguyen; Huy Tran; Erman Tjiputra; Quang D. Tran; Thanh-Toan Do (ECCV Workshops (2), 2020)

Graph-Based Person Signature for Person Re-Identifications. - Binh X. Nguyen; Binh D. Nguyen; Tuong Do; Erman Tjiputra; Quang D. Tran; Anh Nguyen 003 (CVPR Workshops, 2021)

Multiple Meta-model Quantifying for Medical Visual Question Answering. - Tuong Do; Binh X. Nguyen; Erman Tjiputra; Minh Tran; Quang D. Tran; Anh Nguyen 003 (MICCAI (5), 2021)

Coarse-to-Fine Reasoning for Visual Question Answering. - Binh X. Nguyen; Tuong Do; Huy Tran; Erman Tjiputra; Quang D. Tran; Anh Nguyen 003 (CVPR Workshops, 2022)

Deep Federated Learning for Autonomous Driving. - Anh Nguyen 003; Tuong Do; Minh Tran; Binh X. Nguyen; Chien Duong; Tu Phan; Erman Tjiputra; Quang D. Tran (IV, 2022)

Multigraph Topology Design for Cross-Silo Federated Learning. - Binh X. Nguyen; Tuong Do; Hien Nguyen; Vuong Pham; Toan Tran; Erman Tjiputra; Quang D. Tran; Anh Nguyen 003 (CoRR, 2022)

Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology. - Tuong Do; Binh X. Nguyen; Vuong Pham; Toan Tran; Erman Tjiputra; Quang D. Tran; Anh Nguyen 003 (ICCV, 2023)

Addressing Non-IID Problem in Federated Autonomous Driving with Contrastive Divergence Loss. - Tuong Do; Binh X. Nguyen; Hien Nguyen; Erman Tjiputra; Quang D. Tran; Anh Nguyen 003 (CoRR, 2023)

Reducing Non-IID Effects in Federated Autonomous Driving with Contrastive Divergence Loss. - Tuong Do; Binh X. Nguyen; Quang D. Tran; Hien Nguyen; Erman Tjiputra; Te-Chuan Chiu; Anh Nguyen 003 (ICRA, 2024)

Lightweight Temporal Transformer Decomposition for Federated Autonomous Driving. - Tuong Do; Binh X. Nguyen; Quang D. Tran; Erman Tjiputra; Te-Chuan Chiu; Anh Nguyen 003 (CoRR, 2025)