Blockchain-Enabled Resource Trading and Deep Reinforcement Learning-Based Autonomous RAN Slicing in 5G. - Gordon Owusu Boateng; Daniel Ayepah-Mensah; Daniel Mawunyo Doe; Abegaz Mohammed Seid; Guolin Sun; Guisong Liu (IEEE Trans. Netw. Serv. Manag., 2022)

Mitigate Gender Bias in Construction: Fusion of Deep Reinforcement Learning-Based Contract Theory and Blockchain. - Zijun Zhan; Yaxian Dong; Daniel Mawunyo Doe; Yuqing Hu; Shuai Li; Shaohua Cao; Wei Li; Zhu Han 001 (Blockchain, 2023)

High Definition Map Data Optimization for Autonomous Driving in Vehicular Named Data Networks. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Haoxin Wang; Jiang (Linda) Xie; Zhu Han 001 (ICC, 2023)

Real-Time Search-Driven Content Delivery in Vehicular Networks for AR/VR-Enabled Autonomous Vehicles. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Yanpeng Dai; Jiang (Linda) Xie; Zhu Han 001 (ICCC, 2023)

Incentive Mechanism Design for Mitigating Frontrunning and Transaction Reordering in Decentralized Exchanges. - Daniel Mawunyo Doe; Jing Li 006; Dusit Niyato; Li Wang 039; Zhu Han 001 (IEEE Access, 2023)

Promoting the Sustainability of Blockchain in Web 3.0 and the Metaverse Through Diversified Incentive Mechanism Design. - Daniel Mawunyo Doe; Jing Li 006; Dusit Niyato; Zhen Gao 005; Jun Li 004; Zhu Han 001 (IEEE Open J. Comput. Soc., 2023)

DSORL: Data Source Optimization With Reinforcement Learning Scheme for Vehicular Named Data Networks. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Haoxin Wang; Jiang Xie 001; Zhu Han 001 (IEEE Trans. Intell. Transp. Syst., 2023)

Consortium Blockchain-Based Spectrum Trading for Network Slicing in 5G RAN: A Multi-Agent Deep Reinforcement Learning Approach. - Gordon Owusu Boateng; Guolin Sun; Daniel Ayepah-Mensah; Daniel Mawunyo Doe; Ruijie Ou; Guisong Liu (IEEE Trans. Mob. Comput., 2023)

Enhancing AR/VR Performance via Optimized Edge-based Object Detection for Connected Autonomous Vehicles. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Jiang (Linda) Xie; Zhu Han 001 (IV, 2024)

Edge-Assisted Indexing for Highly Dynamic and Static Data in Mixed Reality Connected Autonomous Vehicles. - Daniel Mawunyo Doe; Dawei Chen; Kyungtae Han; Haoxin Wang; Jiang (Linda) Xie; Zhu Han 001 (Intell. Converged Networks, 2024)

Harnessing Tullock Contests and Signaling Games: A Novel Weight Assignment Strategy for Ethereum 2.0. - Daniel Mawunyo Doe; Jing Li 006; Dusit Niyato; Yuqing Hu; Jun Li 004; Zhen Gao 005; Xiao-Ping Zhang 002; Zhu Han 001 (IEEE Open J. Commun. Soc., 2024)

Distributionally Robust Contract Theory for Edge AIGC Services in Teleoperation. - Zijun Zhan; Yaxian Dong; Daniel Mawunyo Doe; Yuqing Hu; Shuai Li; Shaohua Cao; Lei Fan 006; Zhu Han 001 (CoRR, 2025)

A Reliable Vertical Federated Learning Framework for Traffic State Estimation with Data Selection and Incentive Mechanisms. - Zijun Zhan; Yaxian Dong; Daniel Mawunyo Doe; Yuqing Hu; Shuai Li; Shaohua Cao; Zhu Han 001 (CoRR, 2025)

Learning to Incentivize: LLM-Empowered Contract for AIGC Offloading in Teleoperation. - Zijun Zhan; Yaxian Dong; Daniel Mawunyo Doe; Yuqing Hu; Shuai Li; Shaohua Cao; Zhu Han 001 (CoRR, 2025)

Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in Teleoperation. - Zijun Zhan; Yaxian Dong; Daniel Mawunyo Doe; Yuqing Hu; Shuai Li; Shaohua Cao; Zhu Han 001 (IEEE Trans. Mob. Comput., 2025)