Liang, Ying-Chang

Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Lim, W. Y. B., Luong, N. C., Hoang, D. T., Jiao, Y., Liang, Y.-C., Yang, Q., Niyato, D., & Miao, C. (2020) · IEEE Communications Surveys & Tutorials

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 2,565

Toward Smart Wireless Communications via Intelligent Reflecting Surfaces: A Contemporary Survey

Gong, S., Lu, X., Hoang, D. T., Niyato, D., Shu, L., Kim, D. I., & Liang, Y.-C. (2020) · IEEE Communications Surveys & Tutorials

Advanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface Technologies

Cited by 1,035

Vision, Requirements, and Technology Trend of 6G: How to Tackle the Challenges of System Coverage, Capacity, User Data-Rate and Movement Speed

Chen, S., Liang, Y.-C., Sun, S., Kang, S., Cheng, W., & Peng, M. (2020) · IEEE Wireless Communications

Advanced Wireless Communication TechnologiesMillimeter-Wave Propagation and Modeling

Cited by 768

Active Reconfigurable Intelligent Surface-Aided Wireless Communications

Long, R., Liang, Y.-C., Pei, Y., & Larsson, E. G. (2021) · IEEE Transactions on Wireless Communications

Advanced Wireless Communication TechnologiesAdvanced Antenna and Metasurface Technologies

Cited by 718

6G Visions: Mobile ultra-broadband, super internet-of-things, and artificial intelligence

Zhang, L., Liang, Y.-C., & Niyato, D. (2019) · China Communications

Advanced Wireless Communication TechnologiesMillimeter-Wave Propagation and Modeling

Cited by 354

A survey of advanced techniques for spectrum sharing in 5G networks

Zhang, L., Xiao, M., Wu, G., Alam, M., Liang, Y.-C., & Li, S. (2017) · IEEE Wireless Communications

Cognitive Radio Networks and Spectrum SensingAdvanced MIMO Systems Optimization

Cited by 321

Incentive Design for Efficient Federated Learning in Mobile Networks: A Contract Theory Approach

Kang, J., Xiong, Z., Niyato, D., Yu, H., Liang, Y.-C., & Kim, D. I. (2019) · 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS)

Privacy-Preserving Technologies in DataAdvanced MIMO Systems Optimization

Cited by 255

Toward Smart Security Enhancement of Federated Learning Networks

Tan, J., Liang, Y.-C., Luong, N. C., & Niyato, D. (2021) · IEEE Network

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 42

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Luong, N. C., Hoang, D. T., Gong, S., Niyato, D., Wang, P., Liang, Y.-C., & Kim, D. I. (2018) · arXiv

Reinforcement Learning in RoboticsSoftware-Defined Networks and 5G

Cited by 17

Artificial Intelligence for Dynamic Spectrum Management

Liang, Y.-C. (2020) · Signals and Communication Technology

Cognitive Radio Networks and Spectrum SensingWireless Signal Modulation Classification

Cited by 5