An Analysis of Nonlinear Acceleration Coefficients Adjustment for PSO. - Gang Wang 016; Zhikun Liu (AICI, 2012)

A Game-Theoretic Analysis of Multiple Protocol Data Flows in Hierarchical M2M Communication Networks. - Gang Wang 016; Jie Leng; Lin Bai 001 (Int. J. Distributed Sens. Networks, 2013)

The Performance of Multimessage Algebraic Gossip in a Random Geometric Graph. - Gang Wang 016; Zun Lin; Wenyang Guan; Feng Wang (Int. J. Distributed Sens. Networks, 2013)

On the Role of Mobility and Network Coding on Multi-message Gossip in Random Geometric Graph. - Gang Wang 016; Zun Lin; Jie Wu 001 (DASC/PiCom/DataCom/CyberSciTech, 2016)

A local average broadcast gossip algorithm for fast global consensus over graphs. - Gang Wang 016; Zhiyue Wang; Jie Wu 001 (J. Parallel Distributed Comput., 2017)

On the Performance of Multi-Message Algebraic Gossip Algorithms in Dynamic Random Geometric Graphs. - Gang Wang 016; Zun Lin (IEEE Commun. Lett., 2018)

Resource allocation for M2M-enabled cellular network using Nash bargaining game theory. - Gang Wang 016; Tanhui Liu (Peer-to-Peer Netw. Appl., 2018)

Joint Channel and Power Allocation Based on Generalized Nash Bargaining Solution in Device-to-Device Communication. - Gang Wang 016; Tanhui Liu; Chenguang Zhao (IEEE Access, 2019)

A Bankruptcy Game for Optimize Caching Resource Allocation in Small Cell Networks. - Liying Zhang; Gang Wang 016; Fuxiang Wang (KSII Trans. Internet Inf. Syst., 2019)

PDLight: A Deep Reinforcement Learning Traffic Light Control Algorithm with Pressure and Dynamic Light Duration. - Chenguang Zhao; Xiaorong Hu; Gang Wang 016 (CoRR, 2020)

A Traffic Light Dynamic Control Algorithm with Deep Reinforcement Learning Based on GNN Prediction. - Xiaorong Hu; Chenguang Zhao; Gang Wang 016 (CoRR, 2020)

Efficient Federated Learning via Joint Communication and Computation Optimization. - Gang Wang 016; Chenguang Zhao; Qi Qi; Rui Han 002; Lin Bai 001; Jinho Choi 001 (IEEE Trans. Veh. Technol., 2024)

P2CEFL: Privacy-Preserving and Communication Efficient Federated Learning With Sparse Gradient and Dithering Quantization. - Gang Wang 016; Qi Qi; Rui Han 002; Lin Bai 001; Jinho Choi 001 (IEEE Trans. Mob. Comput., 2024)