| 2026 | IWCMC | Neuromorphic Federated Continual Learning: A Spiking Neural Network Approach. | Manh V. Nguyen, Liang Zhao, Shaoen Wu |
| 2025 | MASS | FL-SNNs: Benchmarking the Byzantine-Robustness of Uniquely-Shaped Surrogate Gradients. | Manh V. Nguyen, Liang Zhao, Bobin Deng, Shaoen Wu |
| 2025 | VTC | Sparsified Federated Learning With Spiking Neural Networks: Resistance Against Byzantine Attacks While Lowering Communication Traffics. | Manh V. Nguyen, Liang Zhao, Bobin Deng, Shaoen Wu |
| 2024 | IPCCC | The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning. | Manh V. Nguyen, Liang Zhao, Bobin Deng, William Severa, Honghui Xu, Shaoen Wu |
| 2023 | QCE | Towards Fidelity-Optimal Qubit Mapping on NISQ Computers. | Sri Khandavilli, Indu Palanisamy, Manh V. Nguyen, Thinh V. Le, Tu N. Nguyen, Thang N. Dinh |
| 2023 | QCE | Benchmarking Chain Strength: An Optimal Approach for Quantum Annealing. | Thinh V. Le, Manh V. Nguyen, Tu N. Nguyen, Thang N. Dinh, Ivan B. Djordjevic, Zhi-Li Zhang |
| 2023 | QCE | Maximizing Key Distribution Capability: An Application in Quantum Cryptography. | Tu N. Nguyen, Dung H. P. Nguyen, Manh V. Nguyen, Thinh V. Le, Bing-Hong Liu, Thang N. Dinh |