Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning. - Kaifang Wan; Xiaoguang Gao 001; Zijian Hu 002; Gaofeng Wu (Remote. Sens., 2020)

Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV's Autonomous Motion Planning in Complex Unknown Environments. - Zijian Hu 002; Kaifang Wan; Xiaoguang Gao 001; Yiwei Zhai; Qianglong Wang (Sensors, 2020)

Mobility Control of Unmanned Aerial Vehicle as Communication Relay to Optimize Ground-to-Air Uplinks. - Gaofeng Wu; Xiaoguang Gao 001; Kaifang Wan (Sensors, 2020)

An Improved Approach towards Multi-Agent Pursuit-Evasion Game Decision-Making Using Deep Reinforcement Learning. - Kaifang Wan; Dingwei Wu; Yiwei Zhai; Bo Li 004; Xiaoguang Gao 001; Zijian Hu 002 (Entropy, 2021)

ME-MADDPG: An efficient learning-based motion planning method for multiple agents in complex environments. - Kaifang Wan; Dingwei Wu; Bo Li 004; Xiaoguang Gao 001; Zijian Hu 002; Daqing Chen 001 (Int. J. Intell. Syst., 2022)

Generative and discriminative infinite restricted Boltzmann machine training. - Qianglong Wang; Xiaoguang Gao 001; Kaifang Wan; Zijian Hu 002 (Int. J. Intell. Syst., 2022)

Object feature selection under high-dimension and few-shot data based on three-way decision. - Kaifang Wan; Jianmei Wang; Bo Li 004; Daqing Chen 001; Linyu Tian (Vis. Comput., 2023)

A precise method for RBMs training using phased curricula. - Qianglong Wang; Xiaoguang Gao 001; Xinyu Li; Zijian Hu 002; Kaifang Wan (Multim. Tools Appl., 2023)

Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments. - Zijian Hu 002; Xiaoguang Gao 001; Kaifang Wan; Qianglong Wang; Yiwei Zhai (IEEE Trans. Veh. Technol., 2023)

Multi-UAV roundup strategy method based on deep reinforcement learning CEL-MADDPG algorithm. - Bo Li 004; Jianmei Wang; Chao Song; Zhipeng Yang; Kaifang Wan; Qingfu Zhang 001 (Expert Syst. Appl., 2024)

Finding community structure in Bayesian networks by heuristic K-standard deviation method. - Chenfeng Wang; Xiaoguang Gao 001; Xinyu Li; Bo Li 004; Kaifang Wan (Future Gener. Comput. Syst., 2024)

Feature Analysis Network: An Interpretable Idea in Deep Learning. - Xinyu Li; Xiaoguang Gao 001; Qianglong Wang; Chenfeng Wang; Bo Li 004; Kaifang Wan (Cogn. Comput., 2024)

Relevance Inference Based on Direct Contribution: Counterfactual Explanation to Deep Networks for Intelligent Decision-Making. - Xinyu Li; Xiaoguang Gao 001; Chenfeng Wang; Qianglong Wang; Bo Li 004; Kaifang Wan (IEEE Trans. Intell. Veh., 2024)

Low-high frequency network for spatial-temporal traffic flow forecasting. - Qi Feng; Bo Li 004; Xiaohan Liu; Xiaoguang Gao 001; Kaifang Wan (Eng. Appl. Artif. Intell., 2025)