| Pgm-explainer: Probabilistic graphical model explanations for graph neural networks M Vu, MT Thai Advances in neural information processing systems 33, 12225-12235, 2020 | 261 | 2020 |
| Heterogeneous gaussian mechanism: Preserving differential privacy in deep learning with provable robustness NH Phan, M Vu, Y Liu, R Jin, D Dou, X Wu, MT Thai arXiv preprint arXiv:1906.01444, 2019 | 54 | 2019 |
| Evaluating explainers via perturbation MN Vu, TD Nguyen, NH Phan, R Gera, MT Thai Monterey, California. Naval Postgraduate School, 2019 | 24 | 2019 |
| Optimal signaling schemes and capacity of non-coherent Rician fading channels with low-resolution output quantization MN Vu, NH Tran, DG Wijeratne, K Pham, KS Lee, DHN Nguyen IEEE Transactions on Wireless Communications 18 (6), 2989-3004, 2019 | 19 | 2019 |
| Capacity region and capacity-achieving signaling schemes for 1-bit ADC multiple access channels in Rayleigh fading M Ranjbar, NH Tran, MN Vu, TV Nguyen, MC Gursoy IEEE Transactions on Wireless Communications 19 (9), 6162-6178, 2020 | 13 | 2020 |
| Evaluating fake news detection models from explainable machine learning perspectives R Alharbi, MN Vu, MT Thai ICC 2021-IEEE International Conference on Communications, 1-6, 2021 | 11 | 2021 |
| An explainer for temporal graph neural networks W He, MN Vu, Z Jiang, MT Thai GLOBECOM 2022-2022 IEEE Global Communications Conference, 6384-6389, 2022 | 10 | 2022 |
| Optimal signaling scheme and capacity of non-coherent Rician fading channels with 1-bit output quantization M Vu, DG Wijeratne, NH Tran, K Pham 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 8 | 2018 |
| On the sum-capacity-achieving distributions and sum-capacity of 1-bit ADC MACs in Rayleigh fading M Ranjbar, M Vu, NH Tran, K Pham, DHN Nguyen ICC 2019-2019 IEEE International Conference on Communications (ICC), 1-6, 2019 | 7 | 2019 |
| Optimal signaling schemes and capacities of non-coherent correlated MISO channels under per-antenna power constraints MN Vu, NH Tran, HD Tuan, TV Nguyen, DHN Nguyen IEEE Transactions on Communications 67 (1), 190-204, 2018 | 7 | 2018 |
| Learning interpretation with explainable knowledge distillation R Alharbi, MN Vu, MT Thai 2021 IEEE International Conference on Big Data (Big Data), 705-714, 2021 | 6 | 2021 |
| c-Eval: A unified metric to evaluate feature-based explanations via perturbation MN Vu, TD Nguyen, NH Phan, R Gera, MT Thai 2021 IEEE International Conference on Big Data (Big Data), 927-937, 2021 | 5 | 2021 |
| NeuCEPT: Locally Discover Neural Networks' Mechanism via Critical Neurons Identification with Precision Guarantee MN Vu, TD Nguyen, MT Thai arXiv preprint arXiv:2209.08448, 2022 | 3 | 2022 |
| A probability-based adaption method for server-pushed streaming over HTTP 2.0 VN Minh, PH Phong, PN Nam 2016 IEEE Sixth International Conference on Communications and Electronics …, 2016 | 3 | 2016 |
| On optimal input and capacity of non-coherent correlated MISO channels under per-antenna power constraints M Vu, NH Tran, HD Tuan, TV Nguyen, DHN Nguyen 2018 IEEE Seventh International Conference on Communications and Electronics …, 2018 | 2 | 2018 |
| On the limit of explaining black-box temporal graph neural networks MN Vu, MT Thai arXiv preprint arXiv:2212.00952, 2022 | 1 | 2022 |
| NeuCEPT: Learn Neural Networks’ Mechanism via Critical Neurons with Precision Guarantee MN Vu, TD Nguyen, MT Thai 2022 IEEE International Conference on Data Mining (ICDM), 488-497, 2022 | 1 | 2022 |
| EMaP: Explainable AI with Manifold-based Perturbations MN Vu, HQ Mai, MT Thai arXiv preprint arXiv:2209.08453, 2022 | 1 | 2022 |
| Analysis of Privacy Leakage in Federated Large Language Models M Vu, T Nguyen, MT Thai International Conference on Artificial Intelligence and Statistics, 1423-1431, 2024 | | 2024 |
| Active Data Reconstruction Attacks in Vertical Federated Learning MN Vu, J Tre’R, R Alharbi, MT Thai 2023 IEEE International Conference on Big Data (BigData), 1374-1379, 2023 | | 2023 |
