| 2024 | ACCV | Revisiting Sample Weights Based Method for Noisy-Label Detection and Classification. | Tuan Hoang, Hung Tran, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2024 | WACV | Learn to Unlearn for Deep Neural Networks: Minimizing Unlearning Interference with Gradient Projection. | Tuan Hoang, Santu Rana, Sunil Gupta, Svetha Venkatesh |
| 2023 | WACV | Collaborative Multi-Teacher Knowledge Distillation for Learning Low Bit-width Deep Neural Networks. | Cuong Pham, Tuan Hoang, Thanh-Toan Do |
| 2020 | IJCAI | Direct Quantization for Training Highly Accurate Low Bit-width Deep Neural Networks. | Tuan Hoang, Thanh-Toan Do, Tam V. Nguyen, Ngai-Man Cheung |
| 2019 | CVPR | A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning. | Thanh-Toan Do, Toan Tran, Ian D. Reid, B. G. Vijay Kumar, Tuan Hoang, Gustavo Carneiro |
| 2019 | CVPR | SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration Without Correspondences. | Huu M. Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung |
| 2019 | ICCV | Hierarchical Encoding of Sequential Data With Compact and Sub-Linear Storage Cost. | Huu Le, Ming Xu, Tuan Hoang, Michael Milford |
| 2019 | WACV | 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 |
| 2018 | CVPR | DeepVQ: A Deep Network Architecture for Vector Quantization. | Dang-Khoa Le Tan, Huu Le, Tuan Hoang, Thanh-Toan Do, Ngai-Man Cheung |
| 2017 | ICIP | Enhancing feature discrimination for unsupervised hashing. | Tuan Hoang, Thanh-Toan Do, Dang-Khoa Le Tan, Ngai-Man Cheung |
| 2013 | IJCNN | A general aggregate model for improving multi-class brain-computer interface systems' performance. | Tuan Hoang, Dat Tran, Xu Huang, Wanli Ma |
| 2012 | ICONIP | Time Domain Parameters for Online Feedback fNIRS-Based Brain-Computer Interface Systems. | Tuan Hoang, Dat Tran, Khoa Truong, Trung Le, Xu Huang, Dharmendra Sharma, Toi Vo |
| 2012 | ICONIP | Maximal Margin Approach to Kernel Generalised Learning Vector Quantisation for Brain-Computer Interface. | Trung Le, Dat Tran, Tuan Hoang, Dharmendra Sharma |
| 2011 | ICONIP | Generalised Support Vector Machine for Brain-Computer Interface. | Trung Le, Dat Tran, Tuan Hoang, Wanli Ma, Dharmendra Sharma |
| 2008 | ICPR | Remote multimodal biometric authentication using bit priority-based fragile watermarking. | Tuan Hoang, Dat Tran, Dharmendra Sharma |