Deep-reinforcement learning multiple access for heterogeneous wireless networks Y Yu, T Wang, SC Liew IEEE journal on selected areas in communications 37 (6), 1277-1290, 2019 | 353 | 2019 |
Implementation of physical-layer network coding L Lu, T Wang, SC Liew, S Zhang Physical Communication 6, 74-87, 2013 | 190 | 2013 |
When federated learning meets blockchain: A new distributed learning paradigm C Ma, J Li, L Shi, M Ding, T Wang, Z Han, HV Poor IEEE Computational Intelligence Magazine 17 (3), 26-33, 2022 | 145 | 2022 |
Blockchain-based decentralized energy management platform for residential distributed energy resources in a virtual power plant Q Yang, H Wang, T Wang, S Zhang, X Wu, H Wang Applied Energy 294, 117026, 2021 | 145 | 2021 |
Ethna: Analyzing the underlying peer-to-peer network of ethereum blockchain T Wang, C Zhao, Q Yang, S Zhang, SC Liew IEEE Transactions on Network Science and Engineering 8 (3), 2131-2146, 2021 | 79 | 2021 |
When blockchain meets AI: Optimal mining strategy achieved by machine learning T Wang, SC Liew, S Zhang International Journal of Intelligent Systems 36 (5), 2183-2207, 2021 | 74 | 2021 |
A deep autoencoder trust model for mitigating jamming attack in IoT assisted by cognitive radio MS Abdalzaher, M Elwekeil, T Wang, S Zhang IEEE Systems Journal 16 (3), 3635-3645, 2021 | 57 | 2021 |
Real-time implementation of physical-layer network coding L Lu, L You, Q Yang, T Wang, M Zhang, S Zhang, SC Liew Proceedings of the second workshop on Software radio implementation forum, 71-76, 2013 | 55 | 2013 |
Design of distributed protograph LDPC codes for multi-relay coded-cooperative networks Y Fang, SC Liew, T Wang IEEE Transactions on Wireless Communications 16 (11), 7235-7251, 2017 | 53 | 2017 |
Development of an optimized regression model to predict blast-driven ground vibrations SSR Moustafa, MS Abdalzaher, MH Yassien, T Wang, M Elwekeil, ... IEEE Access 9, 31826-31841, 2021 | 48 | 2021 |
ON–OFF analog beamforming for massive MIMO S Zhang, C Guo, T Wang, W Zhang IEEE Transactions on Vehicular Technology 67 (5), 4113-4123, 2018 | 46 | 2018 |
Non-uniform time-step deep Q-network for carrier-sense multiple access in heterogeneous wireless networks Y Yu, SC Liew, T Wang IEEE Transactions on Mobile Computing 20 (9), 2848-2861, 2020 | 41 | 2020 |
Deep convolutional neural networks for link adaptations in MIMO-OFDM wireless systems M Elwekeil, S Jiang, T Wang, S Zhang IEEE Wireless Communications Letters 8 (3), 665-668, 2018 | 31 | 2018 |
Multi-agent deep reinforcement learning multiple access for heterogeneous wireless networks with imperfect channels Y Yu, SC Liew, T Wang IEEE Transactions on Mobile Computing 21 (10), 3718-3730, 2021 | 29 | 2021 |
Joint Channel Estimation and Channel Decoding in Physical-Layer Network Coding Systems: An EM-BP Factor Graph Framework T Wang, SC Liew IEEE Transactions on Wireless Communications 13 (4), 1-16, 2013 | 28 | 2013 |
DCAP: Improving the capacity of WiFi networks with distributed cooperative access points T Wang, Q Yang, K Tan, J Zhang, SC Liew, S Zhang IEEE Transactions on Mobile Computing 17 (2), 320-333, 2017 | 24 | 2017 |
Pooling is not favorable: Decentralize mining power of PoW blockchain using age-of-work L Shi, T Wang, J Li, S Zhang, S Guo IEEE Transactions on Cloud Computing, 2022 | 23 | 2022 |
Non-coherent NOMA with massive MIMO T Wang, L Shi, K Cai, L Tian, S Zhang IEEE Wireless Communications Letters 9 (2), 134-138, 2019 | 21 | 2019 |
BER Analysis of Decision-Feedback Multiple Symbol Detection in Noncoherent MIMO Ultra-Wideband Systems T Wang, T Lv, H Gao, Y Lu IEEE Transactions on Vehicular Technology 62 (9), 4684 - 4690, 2013 | 20 | 2013 |
Speeding up block propagation in Bitcoin network: Uncoded and coded designs L Zhang, T Wang, SC Liew Computer Networks 206, 108791, 2022 | 19 | 2022 |