Quantum Annealing Approach for Selective Traveling Salesman Problem. - Thinh V. Le; Manh V. Nguyen; Sri Khandavilli; Thang N. Dinh; Tu N. Nguyen 001 (ICC, 2023)

Towards Fidelity-Optimal Qubit Mapping on NISQ Computers. - Sri Khandavilli; Indu Palanisamy; Manh V. Nguyen; Thinh V. Le; Tu N. Nguyen 001; Thang N. Dinh (QCE, 2023)

Benchmarking Chain Strength: An Optimal Approach for Quantum Annealing. - Thinh V. Le; Manh V. Nguyen; Tu N. Nguyen 001; Thang N. Dinh; Ivan B. Djordjevic; Zhi-Li Zhang (QCE, 2023)

Maximizing Key Distribution Capability: An Application in Quantum Cryptography. - Tu N. Nguyen 001; Dung H. P. Nguyen; Manh V. Nguyen; Thinh V. Le; Bing-Hong Liu; Thang N. Dinh (QCE, 2023)

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 (IPCCC, 2024)

Optimizing Resource Allocation and VNF Embedding in RAN Slicing. - Tu N. Nguyen 001; Thinh V. Le; Manh V. Nguyen; Hoa Ngoc Nguyen; Son Vu 001 (IEEE Trans. Netw. Serv. Manag., 2024)

The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks. - Manh V. Nguyen; Liang Zhao; Bobin Deng; Shaoen Wu (CoRR, 2025)