Xiaoguang Gao - RankMe

68 papers A* 2B 1C 4Journal 52Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Robust Causal Discovery Under Imperfect Structural Constraints. AAAI Zidong Wang, Xi Lin, Chuchao He, Xiaoguang Gao
2025	J	`jnl`	A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection. Axioms Yinglong Dang, Xiaoguang Gao, Zidong Wang
2025	J	`jnl`	Bayesian network structure learning based on discrete artificial jellyfish search: Leveraging scoring and graphical properties. Swarm Evol. Comput. Xuchen Yan, Xiaoguang Gao, Zidong Wang, Qianglong Wang, Xiaohan Liu
2025	J	`jnl`	Bridging Intuition and Data: A Unified Bayesian Framework for Optimizing Unmanned Aerial Vehicle Swarm Performance. Entropy Ruiguo Zhong, Zidong Wang, Hao Wang, Yanghui Jin, Shuangxia Bai, Xiaoguang Gao
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`	HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition. Neurocomputing Xudong Gao, Xiaoguang Gao, Jia Rong, Xiaowei Chen, Xiang Liao, Jun Chen
2025	A*	`conf`	LLM-enhanced Score Function Evolution for Causal Structure Learning. IJCAI Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao
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
2025	J	`jnl`	On the Convergence of Tanh Fuzzy General Gray Cognitive Maps. IEEE Trans. Fuzzy Syst. Xudong Gao, Xiaoguang Gao, Jia Rong, Xiaolei Li, Ni Li, Yifeng Niu, Jun Chen
2025	J	`jnl`	Uncertain Priors for Graphical Causal Models: A Multi-Objective Optimization Perspective. IEEE Trans. Knowl. Data Eng. Zidong Wang, Xiaoguang Gao, Qingfu Zhang
2024	J	`jnl`	A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model. Entropy Yinglong Dang, Xiaoguang Gao, Zidong Wang
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`	Incorporating structural constraints into continuous optimization for causal discovery. Neurocomputing Zidong Wang, Xiaoguang Gao, Xiaohan Liu, Xinxin Ru, Qingfu Zhang
2024	J	`jnl`	Investigating the Convergence of Sigmoid-Based Fuzzy General Grey Cognitive Maps. CoRR Xudong Gao, Xiaoguang Gao, Jia Rong, Xiaolei Li, Ni Li, Yifeng Niu, Jun Chen
2024	J	`jnl`	On the Convergence of Sigmoid and tanh Fuzzy General Grey Cognitive Maps. CoRR Xudong Gao, Xiaoguang Gao, Jia Rong, Ni Li, Yifeng Niu, Jun Chen
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
2024	J	`jnl`	The Improved Ordering-Based Search Method Incorporating with Ensemble Learning. Cogn. Comput. Hao Wang, Zidong Wang, Ruiguo Zhong, Xiaohan Liu, Xiaoguang Gao
2023	J	`jnl`	A metaheuristic causal discovery method in directed acyclic graphs space. Knowl. Based Syst. Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru, Qingfu Zhang
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`	Bayesian network parameter learning using constraint-based data extension method. Appl. Intell. Xinxin Ru, Xiaoguang Gao, Yangyang Wang, Xiaohan Liu
2023	J	`jnl`	Bayesian network parameter learning using fuzzy constraints. Neurocomputing Xinxin Ru, Xiaoguang Gao, Zidong Wang, Yangyang Wang, Xiaohan Liu
2023	J	`jnl`	HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition. CoRR Xudong Gao, Xiaoguang Gao, Jia Rong, Xiaowei Chen, Xiang Liao, Jun Chen
2023	J	`jnl`	Improving greedy local search methods by switching the search space. Appl. Intell. Xiaohan Liu, Xiaoguang Gao, Xinxin Ru, Xiangyuan Tan, Zidong Wang
2023	J	`jnl`	The Weight-Based Feature Selection (WBFS) Algorithm Classifies Lung Cancer Subtypes Using Proteomic Data. Entropy Yangyang Wang, Xiaoguang Gao, Xinxin Ru, Pengzhan Sun, Jihan Wang
2022	J	`jnl`	A hybrid feature selection algorithm and its application in bioinformatics. PeerJ Comput. Sci. Yangyang Wang, Xiaoguang Gao, Xinxin Ru, Pengzhan Sun, Jihan Wang
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`	Learning Bayesian network parameters with soft-hard constraints. Neural Comput. Appl. Xinxin Ru, Xiaoguang Gao, Yangyang Wang, Xiaohan Liu
2022	J	`jnl`	Learning the structure of Bayesian networks with ancestral and/or heuristic partition. Inf. Sci. Xiangyuan Tan, Xiaoguang Gao, Zidong Wang, Hao Han, Xiaohan Liu, Da-Qing Chen
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`	A Novel Restricted Boltzmann Machine Training Algorithm With Dynamic Tempering Chains. IEEE Access Xinyu Li, Xiaoguang Gao, Chenfeng Wang
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
2021	J	`jnl`	Bidirectional heuristic search to find the optimal Bayesian network structure. Neurocomputing Xiangyuan Tan, Xiaoguang Gao, Zidong Wang, Chuchao He
2021	J	`jnl`	Determining the direction of the local search in topological ordering space for Bayesian network structure learning. Knowl. Based Syst. Zidong Wang, Xiaoguang Gao, Xiangyuan Tan, Xiaohan Liu
2021	J	`jnl`	Improved Local Search with Momentum for Bayesian Networks Structure Learning. Entropy Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru
2021	J	`jnl`	Learning Bayesian networks based on order graph with ancestral constraints. Knowl. Based Syst. Zidong Wang, Xiaoguang Gao, Yu Yang, Xiangyuan Tan, Daqing Chen
2021	J	`jnl`	Learning Bayesian networks using A* search with ancestral constraints. Neurocomputing Zidong Wang, Xiaoguang Gao, Xiangyuan Tan, Xiaohan Liu
2021	J	`jnl`	The Dynamic Extensions of Fuzzy Grey Cognitive Maps. IEEE Access Jun Chen, Xudong Gao, Jia Rong, Xiaoguang Gao
2020	J	`jnl`	A Novel BN Learning Algorithm Based on Block Learning Strategy. Sensors Xinyu Li, Xiaoguang Gao, Chenfeng Wang
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	—	`conf`	Formation and Conical Obstacle Avoidance Control of UAS Based on Two-hop Network. ECC Zihao Chen, Xiaowei Fu, Xiaoguang Gao
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
2019	—	`conf`	A Distributed Formation Control Method of Swarm UAVs Based on Artificial Potential Field and Consensus Strategy. ANZCC Xiaowei Fu, Haixiang Wang, Jing Pan, Xiaoguang Gao
2019	—	`conf`	A Formation Maintenance and Reconstruction Method of UAV Swarm based on Distributed Control with Obstacle Avoidance. ANZCC Xiaowei Fu, Jing Pan, Haixiang Wang, Xiaoguang Gao
2019	J	`jnl`	Learning Bayesian network parameters via minimax algorithm. Int. J. Approx. Reason. Xiaoguang Gao, Zhi-gao Guo, Hao Ren, Yu Yang, Da-Qing Chen, Chuchao He
2019	J	`jnl`	Learning Bayesian networks using the constrained maximum a posteriori probability method. Pattern Recognit. Yu Yang, Xiaoguang Gao, Zhi-gao Guo, Da-Qing Chen
2019	J	`jnl`	Swarm UAVs Task and Resource Dynamic Assignment Algorithm Based on Task Sequence Mechanism. IEEE Access Xiaowei Fu, Peng Feng, Xiaoguang Gao
2018	J	`jnl`	A Cooperative Search and Coverage Algorithm with Controllable Revisit and Connectivity Maintenance for Multiple Unmanned Aerial Vehicles. Sensors Zhong Liu, Xiaoguang Gao, Xiaowei Fu
2018	J	`jnl`	An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty. Sensors Xiaowei Fu, Hui Wang, Bin Li, Xiaoguang Gao
2018	—	`conf`	Self-Adapted and Filtered Qualitative Maximum a Posterior Algorithm for Small Data Sets. HPCC/SmartCity/DSS Hui Cao, Xiaoguang Gao
2018	C	`conf`	Task Allocation Method for Multi-UAV Teams with Limited Communication Bandwidth. ICARCV Xiaowei Fu, Jing Pan, Xiaoguang Gao, Bin Li, Jun Chen, Kun Zhang
2017	—	`conf`	Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data. AMBN Zhigao Guo, Xiaoguang Gao, Ruohai Di
2017	J	`jnl`	Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method. Int. J. Approx. Reason. Zhi-gao Guo, Xiaoguang Gao, Hao Ren, Yu Yang, Ruo-hai Di, Da-Qing Chen
2016	B	`conf`	Bayesian approach to learn Bayesian networks using data and constraints. ICPR Xiaoguang Gao, Yu Yang, Zhi-gao Guo, Da-Qing Chen
2016	C	`conf`	Network building and communication strategy designing for multi-UAVs cooperative search. ICARCV Xiaowei Fu, Xiaoguang Gao
2014	J	`jnl`	Approximate inference for dynamic Bayesian networks: sliding window approach. Appl. Intell. Xiaoguang Gao, Jun-Feng Mei, Hai-Yang Chen, Da-Qing Chen
2014	C	`conf`	DBN structure learning based on MI-BPSO algorithm. ICIS Guoliang Li, Xiaoguang Gao, Ruohai Di
2014	J	`jnl`	Effective Real-Time Unmanned Air Vehicle Path Planning in Presence of Threat Netting. J. Aerosp. Inf. Syst. Xiaowei Fu, Xiaoguang Gao
2012	J	`jnl`	UAV Mobile Ground Target Pursuit Algorithm. J. Intell. Robotic Syst. Xiaowei Fu, Huicheng Feng, Xiaoguang Gao
2011	J	`jnl`	Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments. Soft Comput. Xingguang Peng, Xiaoguang Gao, Shengxiang Yang
2009	—	`conf`	A Kind of Data Repairing for Missing Data of Discrete Dynamic Bayesian Networks. ICNC (6) Haiyang Chen, Xiaoguang Gao, Jingsong Zheng
2009	—	`conf`	Ship Recognition Based on Improved Forwards-Backwards Algorithm. FSKD (5) Haiyang Chen, Xiaoguang Gao
2008	C	`conf`	A Multi-objective Optimal Approach for UAV Routing in Reconnaissance Mission with Stochastic Observation Time. ISMIS Xingguang Peng, Xiaoguang Gao
2007	—	`conf`	Pattern Recognition for Ship Based on Bayesian Networks. FSKD (4) Qingjiang Wang, Xiaoguang Gao, Da-Qing Chen
2006	—	`conf`	Bayesian Networks for Intelligent Decision of Airborne Weapon System. ICICIC (3) Bo Li, Xiaoguang Gao