Finding an Optimal Geometric Configuration for TDOA Location Systems With Reinforcement Learning. - Shengxiang Li; Guangyi Liu 006; Siyuan Ding; Haisi Li; Ou Li (IEEE Access, 2021)

Trajectory Based Prioritized Double Experience Buffer for Sample-Efficient Policy Optimization. - Shengxiang Li; Ou Li; Guangyi Liu 006; Siyuan Ding; Yijie Bai (IEEE Access, 2021)

Decentralized Multiagent Actor-Critic Algorithm Based on Message Diffusion. - Siyuan Ding; Shengxiang Li; Guangyi Liu 006; Ou Li; Ke Ke; Yijie Bai; Weiye Chen (J. Sensors, 2021)

PSBCNN: Fine-grained image classification based on pyramid convolution networks and SimAM. - Shengxiang Li; Sifeng Wang; Zhaoan Dong; Anran Li; Lianyong Qi; Chao Yan (DASC/PiCom/CBDCom/CyberSciTech, 2022)

TaskRec: Using Causal Graph to Debias in Task Recommendation System. - Sifeng Wang; Anran Li; Zhaoan Dong; Shengxiang Li (DASC/PiCom/CBDCom/CyberSciTech, 2022)

A Deep Reinforcement Learning-Based Geographic Packet Routing Optimization. - Yijie Bai; Xia Zhang; Daojie Yu; Shengxiang Li; Yu Wang; Shuntian Lei; Zhoutai Tian (IEEE Access, 2022)

DRL-Based Joint Path Planning and Jamming Power Allocation Optimization for Suppressing Netted Radar System. - Shengxiang Li; Guangyi Liu; Kai Zhang 009; Zhisheng Qian; Siyuan Ding (IEEE Signal Process. Lett., 2023)