Experience cooperative sharing in cross-layer cognitive radio for real-time multimedia communication. - Wenbo Wang 004; Andres Kwasinski (CogART, 2011)

Cooperative learning for reduced complexity cross-layer Cognitive Radio. - Andres Kwasinski; Wenbo Wang 004 (PIMRC, 2011)

Distributed cross-layer resource allocation using Correlated Equilibrium based stochastic learning. - Wenbo Wang 004; Andres Kwasinski (WCNC, 2013)

Resource allocation in self-sustainable green wireless networks with combinatorial auction. - Wenbo Wang 004; Andres Kwasinski; Alexis Kwasinski (GLOBECOM, 2014)

Power allocation with stackelberg game in femtocell networks: A self-learning approach. - Wenbo Wang 004; Andres Kwasinski; Zhu Han 001 (SECON, 2014)

Routing based on layered stochastic games for multi-hop cognitive radio networks. - Wenbo Wang 004; Andres Kwasinski; Zhu Han 001 (WCNC, 2014)

A routing game in Cognitive Radio Networks against Routing-toward-Primary-User Attacks. - Wenbo Wang 004; Andres Kwasinski; Zhu Han 001 (WCNC, 2014)

Adaptive learning for scalable video transmission with HARQ over dynamic wireless channels. - Wenbo Wang 004; Andres Kwasinski (ICC, 2015)

Learning in Markov Game for Femtocell Power Allocation with Limited Coordination. - Wenbo Wang 004; Pengda Huang; Peizhao Hu; Jing Na; Andres Kwasinski (GLOBECOM, 2016)

A Survey on Applications of Model-Free Strategy Learning in Cognitive Wireless Networks. - Wenbo Wang 004; Andres Kwasinski; Dusit Niyato; Zhu Han 001 (IEEE Commun. Surv. Tutorials, 2016)

A Hierarchical Game with Strategy Evolution for Mobile Sponsored Content/Service Markets. - Wenbo Wang 004; Zehui Xiong; Dusit Niyato; Ping Wang 001 (GLOBECOM, 2017)

Estimation on Channel State Feedback Overhead Lower Bound With Consideration in Compression Scheme and Feedback Period. - Pengda Huang; Wenbo Wang 004; Yiming Pi (IEEE Trans. Commun., 2017)

Decentralized Caching for Content Delivery Based on Blockchain: A Game Theoretic Perspective. - Wenbo Wang 004; Dusit Niyato; Ping Wang 001; Amir Leshem (ICC, 2018)

Competitive Data Trading in Wireless-Powered Internet of Things (IoT) Crowdsensing Systems with Blockchain. - Shaohan Feng; Wenbo Wang 004; Dusit Niyato; Dong In Kim; Ping Wang 001 (ICCS, 2018)

A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks. - Wenbo Wang 004; Dinh Thai Hoang; Zehui Xiong; Dusit Niyato; Ping Wang 001; Peizhao Hu; Yonggang Wen 001 (CoRR, 2018)

Evolutionary Game for Consensus Provision in Permissionless Blockchain Networks with Shard. - Zhengwei Ni; Wenbo Wang 004; Dong In Kim; Ping Wang 001; Dusit Niyato (CoRR, 2018)

Learning for Robust Routing Based on Stochastic Game in Cognitive Radio Networks. - Wenbo Wang 004; Andres Kwasinski; Dusit Niyato; Zhu Han 001 (IEEE Trans. Commun., 2018)

Stackelberg Game for Distributed Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks. - Wenbo Wang 004; Dinh Thai Hoang; Dusit Niyato; Ping Wang 001; Dong In Kim (IEEE Trans. Wirel. Commun., 2018)

Evolutionary Game for Mining Pool Selection in Blockchain Networks. - Xiaojun Liu 005; Wenbo Wang 004; Dusit Niyato; Narisa Zhao; Ping Wang 001 (IEEE Wirel. Commun. Lett., 2018)

Evolutionary Game for Consensus Provision in Permissionless Blockchain Networks with Shards. - Zhengwei Ni; Wenbo Wang 004; Dong In Kim; Ping Wang 001; Dusit Niyato (ICC, 2019)

Dynamic Sensor Renting in RF-powered Crowdsensing Service Market with Blockchain. - Shaohan Feng; Wenbo Wang 004; Dusit Niyato; Dong In Kim; Ping Wang 001 (WCNC, 2019)

A Survey on Blockchain: A Game Theoretical Perspective. - Ziyao Liu; Nguyen Cong Luong 001; Wenbo Wang 004; Dusit Niyato; Ping Wang 001; Ying-Chang Liang; Dong In Kim (IEEE Access, 2019)

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks. - Wenbo Wang 004; Dinh Thai Hoang; Peizhao Hu; Zehui Xiong; Dusit Niyato; Ping Wang 001; Yonggang Wen 001; Dong In Kim (IEEE Access, 2019)

Bio-Inspired Learning and Adaptation for Optimization and Control of Complex Systems. - Jing Na; Zhile Yang; Shyam Kamal; Liang Hu; Wenbo Wang 004; Yimin Zhou 001 (Complex., 2019)

A Survey on Applications of Game Theory in Blockchain. - Ziyao Liu; Nguyen Cong Luong 001; Wenbo Wang 004; Dusit Niyato; Ping Wang 001; Ying-Chang Liang; Dong In Kim (CoRR, 2019)

Cloud/Fog Computing Resource Management and Pricing for Blockchain Networks. - Zehui Xiong; Shaohan Feng; Wenbo Wang 004; Dusit Niyato; Ping Wang 001; Zhu Han 001 (IEEE Internet Things J., 2019)

A Hierarchical Game With Strategy Evolution for Mobile Sponsored Content and Service Markets. - Wenbo Wang 004; Zehui Xiong; Dusit Niyato; Ping Wang 001; Zhu Han 001 (IEEE Trans. Commun., 2019)

Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids. - Joash Lee; Wenbo Wang 004; Dusit Niyato (SmartGridComm, 2020)

FASUS: A fast association mechanism for 802.11ah networks. - Wei Yin 002; Peizhao Hu; Wenbo Wang 004; Jiahui Wen; Hongjian Zhou (Comput. Networks, 2020)

Demand-Side Scheduling Based on Deep Actor-Critic Learning for Smart Grids. - Joash Lee; Wenbo Wang 004; Dusit Niyato (CoRR, 2020)

Augmented Human Intelligence for Decision Making in Maintenance Risk Taking Tasks using Reinforcement Learning. - Kevin Shen-Hoong Ong; Wenbo Wang 004; Thomas Friedrichs; Dusit Niyato (SMC, 2021)

Decentralized Power Allocation and Beamforming Using Non-Convex Nash Game for Energy-Aware mmWave Networks. - Wenbo Wang 004; Amir Leshem (CoRR, 2021)

On Cyber Risk Management of Blockchain Networks: A Game Theoretic Approach. - Shaohan Feng; Wenbo Wang 004; Zehui Xiong; Dusit Niyato; Ping Wang 001; Shaun Shuxun Wang (IEEE Trans. Serv. Comput., 2021)

Monotonic Generalized Nash Games with Application to the Management of Energy-Aware Aloha Networks. - Wenbo Wang 004; Amir Leshem (ICASSP, 2022)

Power and Beamforming Control with Generalized Nash Game for Energy-Aware mmWave Networks. - Wenbo Wang 004; Amir Leshem (SAM, 2022)

Predictive Maintenance Model for IIoT-Based Manufacturing: A Transferable Deep Reinforcement Learning Approach. - Kevin Shen-Hoong Ong; Wenbo Wang 004; Nguyen Quang Hieu; Dusit Niyato; Thomas Friedrichs (IEEE Internet Things J., 2022)

Deep-Reinforcement-Learning-Based Predictive Maintenance Model for Effective Resource Management in Industrial IoT. - Kevin Shen-Hoong Ong; Wenbo Wang 004; Dusit Niyato; Thomas Friedrichs (IEEE Internet Things J., 2022)

Multi-Agent Reinforcement Learning for Joint Cooperative Spectrum Sensing and Channel Access in Cognitive UAV Networks. - Weiheng Jiang; Wanxin Yu; Wenbo Wang 004; Tiancong Huang (Sensors, 2022)

Non-Convex Generalized Nash Games for Energy Efficient Power Allocation and Beamforming in mmWave Networks. - Wenbo Wang 004; Amir Leshem (IEEE Trans. Signal Process., 2022)

Decentralized Learning for Channel Allocation in IoT Networks Over Unlicensed Bandwidth as a Contextual Multi-Player Multi-Armed Bandit Game. - Wenbo Wang 004; Amir Leshem; Dusit Niyato; Zhu Han 001 (IEEE Trans. Wirel. Commun., 2022)

System-level Security Solution for Heterogeneous D2D-underlaid Cellular Network. - Shaohan Feng; Xiao Lu 001; Dusit Niyato; Yuan Wu 001; Wenbo Wang 004 (WCSP, 2023)

Communication Efficient Distributed Learning Over Wireless Channels. - Idan Achituve; Wenbo Wang 004; Ethan Fetaya; Amir Leshem (IEEE Signal Process. Lett., 2023)

Distributed Learning for Optimal Spectrum Access in Dense Device-to-Device Ad-Hoc Networks. - Tomer Boyarski; Wenbo Wang 004; Amir Leshem (IEEE Trans. Signal Process., 2023)

Path Planning for Unmanned Surface Vehicles with Strong Generalization Ability Based on Improved Proximal Policy Optimization. - Pengqi Sun; Chunxi Yang; Xiaojie Zhou; Wenbo Wang 004 (Sensors, 2023)

ProbSparse Attention with Stacked Group Convolution for Wireless Signal-Based Human Activity Recognition. - Dao Yi; Haiwei Zhang; Shaohan Feng; Jinxiang Fang; Wenbo Wang 004 (WCSP, 2024)

Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins. - Yanlei Yin; Lihua Wang; Wenbo Wang 004; Dinh Thai Hoang (CoRR, 2024)

System-Level Security Solution for Hybrid D2D Communication in Heterogeneous D2D-Underlaid Cellular Network. - Shaohan Feng; Xiao Lu 001; Dusit Niyato; Yuan Wu 001; Xuemin Shen; Wenbo Wang 004 (IEEE Trans. Wirel. Commun., 2024)

TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework. - Yang Zhao 017; Jiaxi Yang; Wenbo Wang 004; Helin Yang; Dusit Niyato (IEEE Internet Things J., 2024)

Sparse Attention-Driven Quality Prediction for Production Process Optimization in Digital Twins. - Yanlei Yin; Lihua Wang; Dinh Thai Hoang; Wenbo Wang 004; Dusit Niyato (IEEE Internet Things J., 2024)

A rule fitting and filtering-based heuristic approach for the multi-stage assembly scheduling problem with multiple constraints. - Zhangsheng Su; Chao Deng; Raymond Chiong; Wenbo Wang 004; Kai Zhang (Comput. Ind. Eng., 2025)