Wenbo Wang
Orcid: 0000-0002-7500-8723Affiliations:
- Nanyang Technological University, School of Computer Science and Engineering, Singapore
- Rochester Institute of Technology, NY, USA (PhD 2016)
According to our database1,
Wenbo Wang
authored at least 46 papers
between 2011 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
TranDRL: A Transformer-Driven Deep Reinforcement Learning Enabled Prescriptive Maintenance Framework.
IEEE Internet Things J., November, 2024
System-Level Security Solution for Hybrid D2D Communication in Heterogeneous D2D-Underlaid Cellular Network.
IEEE Trans. Wirel. Commun., October, 2024
2023
Path Planning for Unmanned Surface Vehicles with Strong Generalization Ability Based on Improved Proximal Policy Optimization.
Sensors, October, 2023
Distributed Learning for Optimal Spectrum Access in Dense Device-to-Device Ad-Hoc Networks.
IEEE Trans. Signal Process., 2023
IEEE Signal Process. Lett., 2023
Proceedings of the International Conference on Wireless Communications and Signal Processing, 2023
2022
Decentralized Learning for Channel Allocation in IoT Networks Over Unlicensed Bandwidth as a Contextual Multi-Player Multi-Armed Bandit Game.
IEEE Trans. Wirel. Commun., 2022
Non-Convex Generalized Nash Games for Energy Efficient Power Allocation and Beamforming in mmWave Networks.
IEEE Trans. Signal Process., 2022
Multi-Agent Reinforcement Learning for Joint Cooperative Spectrum Sensing and Channel Access in Cognitive UAV Networks.
Sensors, 2022
Deep-Reinforcement-Learning-Based Predictive Maintenance Model for Effective Resource Management in Industrial IoT.
IEEE Internet Things J., 2022
Predictive Maintenance Model for IIoT-Based Manufacturing: A Transferable Deep Reinforcement Learning Approach.
IEEE Internet Things J., 2022
Power and Beamforming Control with Generalized Nash Game for Energy-Aware mmWave Networks.
Proceedings of the 12th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2022
Monotonic Generalized Nash Games with Application to the Management of Energy-Aware Aloha Networks.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
IEEE Trans. Serv. Comput., 2021
Decentralized Power Allocation and Beamforming Using Non-Convex Nash Game for Energy-Aware mmWave Networks.
CoRR, 2021
Augmented Human Intelligence for Decision Making in Maintenance Risk Taking Tasks using Reinforcement Learning.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021
2020
CoRR, 2020
Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
2019
A Hierarchical Game With Strategy Evolution for Mobile Sponsored Content and Service Markets.
IEEE Trans. Commun., 2019
IEEE Internet Things J., 2019
Bio-Inspired Learning and Adaptation for Optimization and Control of Complex Systems.
Complex., 2019
A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks.
IEEE Access, 2019
Proceedings of the 2019 IEEE Wireless Communications and Networking Conference, 2019
Evolutionary Game for Consensus Provision in Permissionless Blockchain Networks with Shards.
Proceedings of the 2019 IEEE International Conference on Communications, 2019
2018
IEEE Wirel. Commun. Lett., 2018
Stackelberg Game for Distributed Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks.
IEEE Trans. Wirel. Commun., 2018
IEEE Trans. Commun., 2018
Evolutionary Game for Consensus Provision in Permissionless Blockchain Networks with Shard.
CoRR, 2018
CoRR, 2018
Competitive Data Trading in Wireless-Powered Internet of Things (IoT) Crowdsensing Systems with Blockchain.
Proceedings of the IEEE International Conference on Communication Systems, 2018
Decentralized Caching for Content Delivery Based on Blockchain: A Game Theoretic Perspective.
Proceedings of the 2018 IEEE International Conference on Communications, 2018
2017
Estimation on Channel State Feedback Overhead Lower Bound With Consideration in Compression Scheme and Feedback Period.
IEEE Trans. Commun., 2017
A Hierarchical Game with Strategy Evolution for Mobile Sponsored Content/Service Markets.
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
A Survey on Applications of Model-Free Strategy Learning in Cognitive Wireless Networks.
IEEE Commun. Surv. Tutorials, 2016
Proceedings of the 2016 IEEE Global Communications Conference, 2016
2015
Adaptive learning for scalable video transmission with HARQ over dynamic wireless channels.
Proceedings of the 2015 IEEE International Conference on Communications, 2015
2014
A routing game in Cognitive Radio Networks against Routing-toward-Primary-User Attacks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014
Proceedings of the IEEE Wireless Communications and Networking Conference, 2014
Power allocation with stackelberg game in femtocell networks: A self-learning approach.
Proceedings of the Eleventh Annual IEEE International Conference on Sensing, 2014
Resource allocation in self-sustainable green wireless networks with combinatorial auction.
Proceedings of the IEEE Global Communications Conference, 2014
2013
Distributed cross-layer resource allocation using Correlated Equilibrium based stochastic learning.
Proceedings of the 2013 IEEE Wireless Communications and Networking Conference (WCNC), 2013
2011
Proceedings of the IEEE 22nd International Symposium on Personal, 2011
Experience cooperative sharing in cross-layer cognitive radio for real-time multimedia communication.
Proceedings of the CogART 2011, 2011