Adaptive Computation Scaling and Task Offloading in Mobile Edge Computing. - Thinh Quang Dinh; Jianhua Tang; Quang Duy La; Tony Q. S. Quek (WCNC, 2017)

Offloading in Mobile Edge Computing: Task Allocation and Computational Frequency Scaling. - Thinh Quang Dinh; Jianhua Tang; Quang Duy La; Tony Q. S. Quek (IEEE Trans. Commun., 2017)

Learning for Computation Offloading in Mobile Edge Computing. - Thinh Quang Dinh; Quang Duy La; Tony Q. S. Quek; Hyundong Shin (IEEE Trans. Commun., 2018)

A Learning-Based Expected Best Offloading Strategy in Wireless Edge Networks. - Yi-Chen Wu; Thinh Quang Dinh; Yaru Fu; Che Lin; Tony Q. S. Quek (GLOBECOM, 2019)

Joint Optimization of Execution Latency and Energy Consumption for Mobile Edge Computing with Data Compression and Task Allocation. - Minh Hoang Ly; Thinh Quang Dinh; Ha Hoang Kha (CoRR, 2019)

Enabling intelligence in fog computing to achieve energy and latency reduction. - Quang Duy La; Mao V. Ngo; Thinh Quang Dinh; Tony Q. S. Quek; Hyundong Shin (Digit. Commun. Networks, 2019)

Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System. - Thinh Quang Dinh; Ben Liang 001; Tony Q. S. Quek; Hyundong Shin (IEEE Trans. Wirel. Commun., 2020)

Enabling Large-Scale Federated Learning over Wireless Edge Networks. - Thinh Quang Dinh; Diep N. Nguyen; Dinh Thai Hoang; Pham Tran Vu; Eryk Dutkiewicz (GLOBECOM, 2021)

Low-Latency and Secure Computation Offloading Assisted by Hybrid Relay-Reflecting Intelligent Surface. - Khac-Hoang Ngo; Nhan Thanh Nguyen 001; Thinh Quang Dinh; Trong-Minh Hoang; Markku J. Juntti (CoRR, 2021)

In-network Computation for Large-scale Federated Learning over Wireless Edge Networks. - Thinh Quang Dinh; Diep N. Nguyen; Dinh Thai Hoang; Pham Tran Vu; Eryk Dutkiewicz (CoRR, 2021)

A Hybrid DQN and Optimization Approach for Strategy and Resource Allocation in MEC Networks. - Yi-Chen Wu; Thinh Quang Dinh; Yaru Fu; Che Lin; Tony Q. S. Quek (IEEE Trans. Wirel. Commun., 2021)

On-Board Change Detection for Resource-Efficient Earth Observation with LEO Satellites. - Van-Phuc Bui; Thinh Quang Dinh; Israel Leyva-Mayorga; Shashi Raj Pandey; Eva Lagunas; Petar Popovski (GLOBECOM, 2023)

Efficient Hamiltonian Reduction for Quantum Annealing on SatCom Beam Placement Problem. - Thinh Quang Dinh; Son Hoang Dau; Eva Lagunas; Symeon Chatzinotas (ICC, 2023)

In-Network Computation for Large-Scale Federated Learning Over Wireless Edge Networks. - Thinh Quang Dinh; Diep N. Nguyen; Dinh Thai Hoang; Tran Vu Pham; Eryk Dutkiewicz (IEEE Trans. Mob. Comput., 2023)

Quantum Annealing for Complex Optimization in Satellite Communication Systems. - Thinh Quang Dinh; Son Hoang Dau; Eva Lagunas; Symeon Chatzinotas; Diep N. Nguyen; Dinh Thai Hoang (IEEE Internet Things J., 2025)

Semantic Image Encoding and Communication for Earth Observation With LEO Satellites. - Van-Phuc Bui; Thinh Quang Dinh; Israel Leyva-Mayorga; Shashi Raj Pandey; Eva Lagunas; Petar Popovski (IEEE Trans. Cogn. Commun. Netw., 2025)