Kaifang Wan

16 papers Journal 16
YearRankTypeTitle / Venue / Authors
2025 J jnl
Feature reduction causal network (FRCN): A novel approach for analyzing coupling relationships in radar system.
Knowl. Based Syst.
Chenfeng Wang, Xiaoguang Gao, Zidong Wang, Bo Li, Kaifang Wan, Xinyu Li, Chuchao He
2025 J jnl
Low-high frequency network for spatial-temporal traffic flow forecasting.
Eng. Appl. Artif. Intell.
Qi Feng, Bo Li, Xiaohan Liu, Xiaoguang Gao, Kaifang Wan
2024 J jnl
Feature Analysis Network: An Interpretable Idea in Deep Learning.
Cogn. Comput.
Xinyu Li, Xiaoguang Gao, Qianglong Wang, Chenfeng Wang, Bo Li, Kaifang Wan
2024 J jnl
Finding community structure in Bayesian networks by heuristic K-standard deviation method.
Future Gener. Comput. Syst.
Chenfeng Wang, Xiaoguang Gao, Xinyu Li, Bo Li, Kaifang Wan
2024 J jnl
Multi-UAV roundup strategy method based on deep reinforcement learning CEL-MADDPG algorithm.
Expert Syst. Appl.
Bo Li, Jianmei Wang, Chao Song, Zhipeng Yang, Kaifang Wan, Qingfu Zhang
2024 J jnl
Relevance Inference Based on Direct Contribution: Counterfactual Explanation to Deep Networks for Intelligent Decision-Making.
IEEE Trans. Intell. Veh.
Xinyu Li, Xiaoguang Gao, Chenfeng Wang, Qianglong Wang, Bo Li, Kaifang Wan
2023 J jnl
A precise method for RBMs training using phased curricula.
Multim. Tools Appl.
Qianglong Wang, Xiaoguang Gao, Xinyu Li, Zijian Hu, Kaifang Wan
2023 J jnl
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments.
IEEE Trans. Veh. Technol.
Zijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai
2023 J jnl
Object feature selection under high-dimension and few-shot data based on three-way decision.
Vis. Comput.
Kaifang Wan, Jianmei Wang, Bo Li, Daqing Chen, Linyu Tian
2022 J jnl
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments.
CoRR
Zijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai
2022 J jnl
Generative and discriminative infinite restricted Boltzmann machine training.
Int. J. Intell. Syst.
Qianglong Wang, Xiaoguang Gao, Kaifang Wan, Zijian Hu
2022 J jnl
ME-MADDPG: An efficient learning-based motion planning method for multiple agents in complex environments.
Int. J. Intell. Syst.
Kaifang Wan, Dingwei Wu, Bo Li, Xiaoguang Gao, Zijian Hu, Daqing Chen
2021 J jnl
An Improved Approach towards Multi-Agent Pursuit-Evasion Game Decision-Making Using Deep Reinforcement Learning.
Entropy
Kaifang Wan, Dingwei Wu, Yiwei Zhai, Bo Li, Xiaoguang Gao, Zijian Hu
2020 J jnl
Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV's Autonomous Motion Planning in Complex Unknown Environments.
Sensors
Zijian Hu, Kaifang Wan, Xiaoguang Gao, Yiwei Zhai, Qianglong Wang
2020 J jnl
Mobility Control of Unmanned Aerial Vehicle as Communication Relay to Optimize Ground-to-Air Uplinks.
Sensors
Gaofeng Wu, Xiaoguang Gao, Kaifang Wan
2020 J jnl
Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning.
Remote. Sens.
Kaifang Wan, Xiaoguang Gao, Zijian Hu, Gaofeng Wu