Multi-Agent Power and Resource Allocation for D2D Communications: A Deep Reinforcement Learning Approach. - Honglin Xiang; Jingyi Peng; Zhen Gao 001; Lingjie Li; Yang Yang 007 (VTC Fall, 2022)

Hybrid Spectrum Access for V2V Heterogeneous Networks with Deep Reinforcement Learning. - Jingfei Huang; Jingyi Peng; Honglin Xiang; Lingjie Li; Yang Yang 007 (WCSP, 2022)

DMCNET: Data-Driven Multi-Pilot Convolution Neural Network for Mimo-Ofdm Receiver. - Yutong Xin; Jingyi Peng; Zejian Lu; Yong Lee; Yang Yang (IC-NIDC, 2023)

Energy Efficiency Fairness of Active Reconfigurable Intelligent Surfaces-Aided Cell-Free Network. - Yuhong Wang; Jingyi Peng (IEEE Access, 2023)

Methods and experiments for collecting information and constructing models of bottom-layer contours in paddy fields. - Tuanpeng Tu; Jie He; Xiwen Luo; Lian Hu; Pei Wang 008; Gaolong Chen; Li Tian; Dawen Feng; Zhimin Wang; Zhongxian Man; Weicong Li; Zhenghui Wei; et al. (Comput. Electron. Agric., 2023)

A Respiratory Disease Diagnosis Method of Electronic Nose Based on Pyramid Pooling and Self-Attention Mechanism. - Jingyi Peng; Haixia Mei; Tao Wang; Min Zeng; Dongdong Xu; Xiaoxue Xing; Lijuan Shi; Keyu Meng; Hongwu Qin; Jian Zhao; Bowei Zhang; Fuzhen Xuan (IEEE SENSORS, 2024)

Near-Field Channel Estimation for Extremely Large Antenna Arrays With Uniform Circular Arrays. - Jingyi Peng; Yuhong Wang (IEEE Access, 2024)

Deep Reinforcement Learning-Based Energy Consumption Optimization for Peer-to-Peer (P2P) Communication in Wireless Sensor Networks. - Jinyu Yuan; Jingyi Peng; Qing Yan; Gang He; Honglin Xiang; Zili Liu (Sensors, 2024)