Remote multimodal biometric authentication using bit priority-based fragile watermarking. - Tuan Hoang; Dat Tran 001; Dharmendra Sharma 001 (ICPR, 2008)

Enhancing Performance of SVM-Based Brain-Computer Interface Systems. - Tuan Hoang; Phuoc Nguyen; Trung Le 001; Dat Tran 001; Dharmendra Sharma 001 (Aust. J. Intell. Inf. Process. Syst., 2010)

Generalised Support Vector Machine for Brain-Computer Interface. - Trung Le 001; Dat Tran 001; Tuan Hoang; Wanli Ma; Dharmendra Sharma 001 (ICONIP (1), 2011)

Pre-implantation electrochemical characterization of a Parylene C sheath microelectrode array probe. - Seth A. Hara; Brian J. Kim; Jonathan T. W. Kuo; Curtis Lee; Christian A. Gutierrez; Tuan Hoang; Ellis Meng (EMBC, 2012)

Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems. - Tuan Hoang; Dat Tran 001; Khoa Truong; Trung Le 001; Xu Huang 001; Dharmendra Sharma 001; Toi Vo (ICONIP (2), 2012)

Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface. - Trung Le 001; Dat Tran 001; Tuan Hoang; Dharmendra Sharma 001 (ICONIP (3), 2012)

Approximation-based Common Principal Component for feature extraction in multi-class Brain-Computer Interfaces. - Tuan Hoang; Dat Tran 001; Xu Huang 001 (EMBC, 2013)

A general aggregate model for improving multi-class brain-computer interface systems' performance. - Tuan Hoang; Dat Tran 001; Xu Huang 001; Wanli Ma (IJCNN, 2013)

From Trauma in Austere Environments to Combat or Medical School: How Blended Hyper-Realism in the Real and Virtual Worlds Can Better Prepare Surgeons. - Anthony J. Laporta; Tuan Hoang; Alan Moloff; Michael Tieman; Brian D. Schwartz; Sean Slack; Carissa Chalut; Jeff Kang; Alicia Unangst (MMVR, 2014)

Enhancing feature discrimination for unsupervised hashing. - Tuan Hoang; Thanh-Toan Do; Dang-Khoa Le Tan; Ngai-Man Cheung (ICIP, 2017)

Selective Deep Convolutional Features for Image Retrieval. - Tuan Hoang; Thanh-Toan Do; Dang-Khoa Le Tan; Ngai-Man Cheung (ACM Multimedia, 2017)

Enhance Feature Discrimination for Unsupervised Hashing. - Tuan Hoang; Thanh-Toan Do; Dang-Khoa Le Tan; Ngai-Man Cheung (CoRR, 2017)

Accessible Melanoma Detection using Smartphones and Mobile Image Analysis. - Thanh-Toan Do; Victor Pomponiu; Yiren Zhou; Tuan Hoang; Zhao Chen; Ngai-Man Cheung; Dawn Chin-Ing Koh; Aaron Tan; Suat-Hoon Tan (CoRR, 2017)

Compact Hash Code Learning with Binary Deep Neural Network. - Thanh-Toan Do; Dang-Khoa Le Tan; Tuan Hoang; Ngai-Man Cheung (CoRR, 2017)

DeepVQ: A Deep Network Architecture for Vector Quantization. - Dang-Khoa Le Tan; Huu Le; Tuan Hoang; Thanh-Toan Do; Ngai-Man Cheung (CVPR Workshops, 2018)

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. - Thanh-Toan Do; Tuan Hoang; Dang-Khoa Le Tan; Ngai-Man Cheung (CoRR, 2018)

Simultaneous Compression and Quantization: A Joint Approach for Efficient Unsupervised Hashing. - Tuan Hoang; Thanh-Toan Do; Dang-Khoa Le Tan; Ngai-Man Cheung (CoRR, 2018)

Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention. - Thanh-Toan Do; Dang-Khoa Le Tan; Trung Pham; Tuan Hoang; Ngai-Man Cheung (CoRR, 2018)

Accessible Melanoma Detection Using Smartphones and Mobile Image Analysis. - Thanh-Toan Do; Tuan Hoang; Victor Pomponiu; Yiren Zhou; Zhao Chen 005; Ngai-Man Cheung; Dawn Chin-Ing Koh; Aaron Tan; Suat-Hoon Tan (IEEE Trans. Multim., 2018)

A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. - Thanh-Toan Do; Toan Tran 002; Ian D. Reid 001; B. G. Vijay Kumar; Tuan Hoang; Gustavo Carneiro 001 (CVPR, 2019)

SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. - Huu M. Le; Thanh-Toan Do; Tuan Hoang; Ngai-Man Cheung (CVPR, 2019)

Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. - Huu Le; Ming Xu 015; Tuan Hoang; Michael Milford (ICCV, 2019)

Binary Constrained Deep Hashing Network for Image Retrieval Without Manual Annotation. - Thanh-Toan Do; Tuan Hoang; Dang-Khoa Le Tan; Trung Pham; Huu Le; Ngai-Man Cheung; Ian D. Reid 001 (WACV, 2019)

SASSE: Scalable and Adaptable 6-DOF Pose Estimation. - Huu Le; Tuan Hoang; Qianggong Zhang; Thanh-Toan Do; Anders P. Eriksson; Michael Milford (CoRR, 2019)

BTEL: A Binary Tree Encoding Approach for Visual Localization. - Huu Le; Tuan Hoang; Michael J. Milford (IEEE Robotics Autom. Lett., 2019)

Simultaneous Feature Aggregating and Hashing for Compact Binary Code Learning. - Thanh-Toan Do; Khoa Le; Tuan Hoang; Huu Le; Tam V. Nguyen 002; Ngai-Man Cheung (IEEE Trans. Image Process., 2019)

From Selective Deep Convolutional Features to Compact Binary Representations for Image Retrieval. - Thanh-Toan Do; Tuan Hoang; Dang-Khoa Le Tan; Huu Le; Tam V. Nguyen 002; Ngai-Man Cheung (ACM Trans. Multim. Comput. Commun. Appl., 2019)

Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. - Tuan Hoang; Thanh-Toan Do; Tam V. Nguyen 002; Ngai-Man Cheung (IJCAI, 2020)

Reproducibility Companion Paper: Selective Deep Convolutional Features for Image Retrieval. - Tuan Hoang; Thanh-Toan Do; Ngai-Man Cheung; Michael Riegler 001; Jan Zahálka (ACM Multimedia, 2020)

Simultaneous compression and quantization: A joint approach for efficient unsupervised hashing. - Tuan Hoang; Thanh-Toan Do; Huu Le; Dang-Khoa Le Tan; Ngai-Man Cheung (Comput. Vis. Image Underst., 2020)

Unsupervised Deep Cross-modality Spectral Hashing. - Tuan Hoang; Thanh-Toan Do; Tam V. Nguyen 002; Ngai-Man Cheung (IEEE Trans. Image Process., 2020)

Compact Hash Code Learning With Binary Deep Neural Network. - Thanh-Toan Do; Tuan Hoang; Dang-Khoa Le Tan; Anh-Dzung Doan; Ngai-Man Cheung (IEEE Trans. Multim., 2020)

Multi-Modal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. - Tuan Hoang; Thanh-Toan Do; Tam V. Nguyen 002; Ngai-Man Cheung (CoRR, 2021)

Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. - Cuong Pham 007; Tuan Hoang; Thanh-Toan Do (WACV, 2023)

Multimodal Mutual Information Maximization: A Novel Approach for Unsupervised Deep Cross-Modal Hashing. - Tuan Hoang; Thanh-Toan Do; Tam V. Nguyen 002; Ngai-Man Cheung (IEEE Trans. Neural Networks Learn. Syst., 2023)

Revisiting Sample Weights Based Method for Noisy-Label Detection and Classification. - Tuan Hoang; Hung Tran; Santu Rana; Sunil Gupta 001; Svetha Venkatesh (ACCV (1), 2024)

Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. - Tuan Hoang; Santu Rana; Sunil Gupta 001; Svetha Venkatesh (WACV, 2024)

SEMISE: Semi-Supervised Learning for Severity Representation in Medical Image. - Dung T. Tran; Hung Vu; Anh Tran; Tuan Hoang; Hieu Pham; Hong Nguyen; Nam-Phong Nguyen (ISBI, 2025)