Yang Yang

Dynamic Spectrum Access for D2D-Enabled Internet of Things: A Deep Reinforcement Learning Approach

Derrick Wing Kwan Ng, Zhen Gao, Jingfei Huang, 2022, IEEE Internet of Things Journal.

A Cloud-Based Parallel Space-Saving Algorithm for Big Networking Data

Yang Yang, Jun Liu, Dazhong He, 2018, IEEE Access.

Hybrid Spectrum Access for V2V Heterogeneous Networks with Deep Reinforcement Learning

Jingfei Huang, Yang Yang, Honglin Xiang, 2022, 2022 14th International Conference on Wireless Communications and Signal Processing (WCSP).

Deep Reinforcement Learning-Based Power Allocation for Rate-Splitting Multiple Access in 6G LEO Satellite Communication System

Jingfei Huang, Yang Yang, Dazhong He, 2022, IEEE Wireless Communications Letters.

An FPGA-Based LSTM Acceleration Engine for Deep Learning Frameworks

Dazhong He, Yang Yang, Jun Liu, 2021, Electronics.

Multi-Agent Deep Reinforcement Learning-Based Power Control and Resource Allocation for D2D Communications

Jingfei Huang, Yang Yang, Dazhong He, 2022, IEEE Wireless Communications Letters.

Machine Learning Enabling Analog Beam Selection for Concurrent Transmissions in Millimeter-Wave V2V Communications

Zhen Gao, Biao Cao, Yang Yang, 2020, IEEE Transactions on Vehicular Technology.

Machine Learning Inspired Codeword Selection For Dual Connectivity in 5G User-Centric Ultra-Dense Networks

Yang Yang, Dazhong He, Yanan You, 2019, IEEE Transactions on Vehicular Technology.

Spatial Big Data and Moving Objects: A Comprehensive Survey

Yang Yang, Usama Mir, Zeeshan Ahmed Bhatti, 2018, IEEE Access.