PUBLICATIONS

*: Students/visiting students under my supervision/co-supervision/mentoring

(Source code for my research papers is provided with best effort. Missing code is due to the IP-related non-disclosure agreement with my group/fund/collaborators.)

Transactions, Journals & Magazines:

[J13] S. Feng, X. Lu, D. Niyato, Y. Wu, X. Shen and Wenbo Wang, “System-Level Security Solution for Hybrid D2D Communication in Heterogeneous D2D-Underlaid Cellular Network.” accepted by IEEE Transactions on Wireless Communications, 2024.

[J12] Tomer Boyarski, Wenbo Wang and Amir Leshem, "Distributed Learning for Optimal Spectrum Access in Dense Device-to-Device Ad-Hoc Networks," in IEEE Transactions on Signal Processing (TSP), early access. [IEEEXplore]

[J11] Kevin Shen Hoong Ong*, Wenbo Wang, Dusit Niyato, Nguyen Quang Hieu and Thomas Friedrichs, "Predictive Maintenance Model for IIoT-based Manufacturing: A Transferable Deep Reinforcement Learning Approach," in IEEE Internet of Things Journal (IoTJ), vol. 9, no. 17, pp. 15725-15741, 1 Sept.1, 2022. [IEEEXplore]

[J10] Wenbo Wang and Amir Leshem, "Non-Convex Generalized Nash Games for Energy Efficient Power Allocation and Beamforming in mmWave Networks," in IEEE Transactions on Signal Processing (TSP), vol. 70, pp. 3193-3205, June, 2022. [IEEEXplore] [arxiv.org]

[J9] Wenbo Wang, Amir Leshem, Dusit Niyato and Zhu Han, "Decentralized Learning for Channel Allocation in IoT Networks over Unlicensed Bandwidth as a Contextual Multi-player Multi-armed Bandit Game," in IEEE Transactions on Wireless Communications (TWC), vol 21, no. 5, pp. 2162-3178, May 2022. [IEEEXplore] [author version] [Source Code]

[J8] Kevin Shen Hoong Ong*, Wenbo Wang, Dusit Niyato and Thomas Friedrichs, "Deep Reinforcement Learning Based Predictive Maintenance Model for Effective Resource Management in Industrial IoT," in IEEE Internet of Things Journal (IoTJ), vol. 8, no. 7, pp 5173-5188, 1 April, 2022.  [IEEEXplore]

[J7] S. Feng, Wenbo Wang, Z. Xiong, D. Niyato, P. Wang and S-S. Wang, "On cyber risk management of blockchain networks: A game theoretic approach," in IEEE Transactions on Services Computing (TSC), vol. 14, no. 5, pp. 1492-1504, 2021. [IEEEXplore]

[J6] Wenbo Wang, D-T. Hoang, P. Hu, Z. Xiong, D. Niyato, P. Wang, Y. Wen and D-I, Kim, "A survey on consensus mechanisms and mining strategy management in blockchain networks," in IEEE Access, vol. 7, pp. 22328-22370, 2019 (ESI Highly Cited Paper). [IEEEXplore] [axriv.org]

[J5] Wenbo Wang, Z. Xiong, D. Niyato, P. Wang, and Z. Han, “A hierarchical game with strategy evolution for mobile sponsored content and service markets,” in IEEE Transactions on Communications (TCOM), vol. 67, no. 1, pp. 472-488, Jan., 2019. [IEEEXplore] [axriv.org]

[J4] Wenbo Wang, D-T. Hoang, D. Niyato, P. Wang, and D-I. Kim, “Stackelberg game for distributed time scheduling in RF-powered backscatter cognitive radio networks,” in IEEE Transactions on Wireless Communications (TWC), vol. 17, no. 8, pp. 5606-5622, Aug., 2018. [IEEEXplore] [axriv.org]

[J3] Wenbo Wang, A. Kwasinski, D. Niyato, and Z. Han, “Learning for robust routing based on stochastic game in cognitive radio networks,” in IEEE Transactions on Communications (TCOM), vol. 66, no. 6, pp. 2588-2602, June 2018. [IEEEXplore]

[J2] P. Huang, Wenbo Wang and Y. Pi, “Estimation on channel state feedback overhead lower bound with consideration in compression scheme and feedback period,” in IEEE Transactions on Communications (TCOM), vol. 65, no. 3, pp. 1219-1233, March 2017. [IEEEXplore]

[J1] Wenbo Wang, A. Kwasinski, D. Niyato, and Z. Han, “A survey on applications of model-free strategy learning in cognitive wireless networks,” in IEEE Communication Survey & Tutorial (COMST), vol. 18, no. 3, pp. 1717-1757, third quarter 2016. [IEEEXplore]

Book Chapter:

[B1] S. Feng, Wenbo Wang, and Z. Ni, "Blockchain-based content caching toward 6G networks", in Proof-of-Stake for Blockchain Networks: Fundamentals, Challenges and Approaches, Chapter 04, 10.1049/PBSE024E_ch4, 2024.

[B2] Wenbo Wang, S. Feng, and Z. Ni, "Blockchain fundamental", in Proof-of-Stake for Blockchain Networks: Fundamentals, Challenges and Approaches, Chapter 01, 10.1049/PBSE024E_ch1, 2004.

[B1] A. Kwasinski, Wenbo Wang and Fatemeh Shah Mohammadi, "Resource allocation in cognitive radio networks through reinforcement learning," Chapter 2, Machine Learning for Future Wireless Communications, Wiley & Sons, Inc. 

Letters & Miscellaneous:

[M8] P. Sun*, C. Yang*, X. Zhou and W. Wang, "Path Planning for Unmanned Surface Vehicles with Strong Generalization Ability Based on Improved Proximal Policy Optimization," Sensors, 23 (21), 8864, 2023.

[M7] I. Achituve, W. Wang, E. Fetaya and A. Leshem, "Communication Efficient Distributed Learning overWireless Channels," accepted by IEEE Signal Processing Letters, 2023.

[M6] Li, Y., Han, S., Xiong, J. and W. Wang, "Comfort-Oriented Semi-Active Suspension Configuration with Inerter-Based Network Synthesis," Actuators 2023, 12, 290. https://doi.org/10.3390/act12070290 

[M5] W. Jiang, W. Yu, Wenbo Wang, T. Huang, “Multi-Agent Reinforcement Learning for Joint Cooperative Spectrum Sensing and Channel Access in Cognitive UAV Networks,” in Sensors 22(4), pp. 1651, 2022.

[M4] Wei Yin, Peizhao Hu, Wenbo Wang, Jiahui Wen and Hongjian Zhou, "FASUS: A Fast Association Mechanism for 802.11ah Networks", in Computer Networks, 2020.

[M3] Ziyao Liu*, N. C. Luong, Wenbo Wang, D. Niyato, P. Wang, Y-C Liang and D-I Kim, “A Survey on Blockchain: A Game Theoretical Perspective”, IEEE Access, 7, 47615-47643, 2019. [IEEEXplore]

[M2] Z. Xiong, S. Feng, Wenbo Wang, D. Niyato, P. Wang, and Z. Han, "Cloud/fog computing resource management and pricing for blockchain networks," IEEE Internet of Things Journal. 2018 Sep 24; 6(3):4585-600. [IEEEXplore]

[M1] Xiaojun Liu*, Wenbo Wang, D. Niyato, N. Zhao and P. Wang, "Evolutionary game for mining pool selection in blockchain networks," in IEEE Wireless Communications Letters (WCL), vol. 7, no. 5, pp. 760-763, Mar. 2018. [IEEEXplore]

Conferences:

[C20] S. Feng, X. Lu, D. Niyato, Y. Wu and W.  Wang, "System-level Security Solution for Heterogeneous D2D-underlaid Cellular Network," in 2023 IEEE International Conference on Wireless Communications and Signal Processing (WCSP), 02-04 Nov. 2023, Hangzhou, China.

[C19] Wenbo Wang and Amir Leshem, "Power and Beamforming Control with Generalized Nash Game for Energy-Aware mmWave Networks", in 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM), 20-23 June 2022, Trondheim, Norway. 

[C18] Wenbo Wang and Amir Leshem, "Monotonic Generalized Nash Games with Application to the Management of Energy-Aware Aloha Networks", in 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 22-27 May 2022, Singapore. 

[C17] Kevin Shen Hoong Ong*, Wang Wenbo, Thomas Friedrichs and Dusit Niyato, "Augmented Human Intelligence for Decision Making in Maintenance Risk Taking Tasks using Reinforcement Learning", to appear in 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2021.

[C16] J. Lee*, Wenbo Wang, D. Niyato, "Demand-Side Scheduling Based on Multi-Agent Deep Actor-Critic Learning for Smart Grids," 2020 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) - Grid Analytics and Computation Symposium, Virtual Conference, 2020.

[C15] Z. Ni, Wenbo Wang, D-I. Kim, P. Wang and D. Niyato, "Evolutionary Game for Consensus Provision in Permissionless Blockchain Networks with Shards," 2019 IEEE International Conference on Communications (ICC): Next-Generation Networking and Internet Symposium (IEEE ICC'19 - NGNI Symposium), Shanghai, China, May, 2019.

[C14] S. Feng, Wenbo Wang, D. Niyato, D-I. Kim and P. Wang, "Dynamic Sensor Renting in RF-Powered Crowdsensing Service Market with Blockchains," 2019 IEEE Wireless Communications and Networking Conference (WCNC), Marrakech, Morocco, Apr., 2019.

[C13] S. Feng, Wenbo Wang, D. Niyato, D-I. Kim and P. Wang, "Competitive Data Trading in Wireless-Powered Internet of Things (IoT) Crowdsensing Systems with Blockchain," 2018 IEEE International Conference on Communication Systems (ICCS'18), Chengdu, China, Dec., 2018 (Invited).

[C12] Wenbo Wang, D. Niyato, P. Wang and A. Leshem, "Decentralized caching for content delivery based on blockchain: A game theoretic perspective," in 2018 IEEE International Conference on Communications (ICC 2018), Kansas CIty, MO, May, 2018.

[C11] Wenbo Wang, Z. Xiong, D. Niyato and P. Wang, "A hierarchical game with strategy evolution for mobile sponsored content/service markets," 2017 IEEE Global Communications Conference (GLOBECOM 2017), Singapore, 2017, Dec. 2017.

[C10] Wenbo Wang, P. Huang, P. Hu, J. Na and A. Kwasinski, "Learning in Markov game for femtocell power allocation with limited coordination," in 2016 IEEE Global Communications Conference: Wireless Communications (GLOBECOM 2016), Washington D.C, USA, Dec, 2016.

[C9] Wenbo Wang and A. Kwasinski, “Adaptive learning for scalable video transmission with HARQ over dynamic wireless channels,” in 2015 IEEE International Conference on Communications (ICC 2015), London, United Kingdom, Jun. 2015.

[C8] Wenbo Wang, A. Kwasinski, and A. Kwasinski, “Resource allocation in self-sustainable green wireless networks with combinatorial auction,” 2014 IEEE Globe Communication SAC Green Communication Systems and Networks (GLOBECOM 2014), Austin, USA, Dec. 2014. 

[C7] Wenbo Wang, A. Kwasinski and Z. Han, “Power allocation with stackelberg game in femtocell networks: a self-learning approach,” 2014 IEEE International Conference on Sensing, Communications and Networking (SECON 2014), Singapore, Jun., 2014.  (Student Travel Grant)

[C6] Wenbo Wang, A. Kwasinski and Z. Han, “Routing based on layered stochastic games for multi-hop cognitive radio networks,” IEEE Wireless Communications and Networking Conference (WCNC 2014), Istanbul, Turkey, Apr., 2014. 

[C5] Wenbo Wang, A. Kwasinski and Z. Han, “A routing game in cognitive radio networks against routing-toward-primary-user attacks,” IEEE Wireless Communications and Networking Conference (WCNC 2014), Istanbul, Turkey, Apr., 2014. 

[C4] Wenbo Wang and A. Kwasinski, “Distributed cross-layer resource allocation using correlated equilibrium based stochastic learning,” IEEE Wireless Communications and Networking Conference (WCNC 2013), Shanghai, China, pp. 1727-1732, Apr., 2013.

[C3] Wenbo Wang and A. Kwasinski, “Experience cooperative sharing in cross-layer cognitive radio for real-time multimedia communication,” Proceedings of the 4th International Conference on Cognitive Radio and Advanced Spectrum Management (CogART 2011), Barcelona, Spain, pp. 55:1-55:5, Nov., 2011.

[C2] A. Kwasinski and Wenbo Wang, “Cooperative learning for reduced complexity cross-layer cognitive radio,” IEEE 22nd International Symposium on Personal Indoor and Mobile Radio Communications (PIMRC 2011), Toronto, Canada, pp. 374-378, Sep., 2011.

[C1] Wenbo. Wang and A. Kwasinski, "Feedback-based cooperative primary channel activity estimation for dynamic spectrum access," 2010 3rd International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL 2010), Rome, 2010, pp. 1-5.

Preprints:

[P1] Yanlei Yin*, Lihua Wang, Wenbo. Wang, Dinh Thai Hoang, “Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins”, submitted to IEEE Internet of Things Journal, 2024, arXiv:2405.11895. 

[P2] Y. Zhao, J. Yang, Wenbo. Wang, H. Yang and D. Niyato, “TranDRL: A Transformer-Driven Deep Reinforce- ment Learning Enabled Prescriptive Maintenance Framework”, submitted to IEEE Internet of Things Journal, 2024.

Tutorials, Reports & Others

Tutorials:

[T1] Oct. 2019, guest lecture: "An introduction to game theoretic modeling in permissionless blockchain networks," at Nanyang Technological University, Singapore [Slides]

[T2] Oct.  2018, guest lecture: "The decentralized consensus in blockchain networks: bitcoins and beyond," at Nanyang Technological University, Singapore [Slides]

ACADEMIC SERVICES

"Theory is when you know everything but nothing works. Practice is when everything works but no one knowns why. In our lab, theory and practice are combined: nothing works and no one knows why." -- Unknown Quotes