Xiaoguang Gao

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2023
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments.
IEEE Trans. Veh. Technol., November, 2023

Improving greedy local search methods by switching the search space.
Appl. Intell., October, 2023

Bayesian network parameter learning using fuzzy constraints.
Neurocomputing, August, 2023

The Weight-Based Feature Selection (WBFS) Algorithm Classifies Lung Cancer Subtypes Using Proteomic Data.
Entropy, July, 2023

Bayesian network parameter learning using constraint-based data extension method.
Appl. Intell., May, 2023

A precise method for RBMs training using phased curricula.
Multim. Tools Appl., March, 2023

A metaheuristic causal discovery method in directed acyclic graphs space.
Knowl. Based Syst., 2023

HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition.
CoRR, 2023

2022
A hybrid feature selection algorithm and its application in bioinformatics.
PeerJ Comput. Sci., 2022

Learning Bayesian network parameters with soft-hard constraints.
Neural Comput. Appl., 2022

Learning the structure of Bayesian networks with ancestral and/or heuristic partition.
Inf. Sci., 2022

Generative and discriminative infinite restricted Boltzmann machine training.
Int. J. Intell. Syst., 2022

ME-MADDPG: An efficient learning-based motion planning method for multiple agents in complex environments.
Int. J. Intell. Syst., 2022

2021
Learning Bayesian networks based on order graph with ancestral constraints.
Knowl. Based Syst., 2021

Determining the direction of the local search in topological ordering space for Bayesian network structure learning.
Knowl. Based Syst., 2021

Urban green economic development indicators based on spatial clustering algorithm and blockchain.
J. Intell. Fuzzy Syst., 2021

Learning Bayesian networks using A* search with ancestral constraints.
Neurocomputing, 2021

Bidirectional heuristic search to find the optimal Bayesian network structure.
Neurocomputing, 2021

An Improved Approach towards Multi-Agent Pursuit-Evasion Game Decision-Making Using Deep Reinforcement Learning.
Entropy, 2021

Improved Local Search with Momentum for Bayesian Networks Structure Learning.
Entropy, 2021

A Novel Restricted Boltzmann Machine Training Algorithm With Dynamic Tempering Chains.
IEEE Access, 2021

The Dynamic Extensions of Fuzzy Grey Cognitive Maps.
IEEE Access, 2021

2020
Mobility Control of Unmanned Aerial Vehicle as Communication Relay to Optimize Ground-to-Air Uplinks.
Sensors, 2020

A Novel BN Learning Algorithm Based on Block Learning Strategy.
Sensors, 2020

Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV's Autonomous Motion Planning in Complex Unknown Environments.
Sensors, 2020

Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning.
Remote. Sens., 2020

Formation and Conical Obstacle Avoidance Control of UAS Based on Two-hop Network.
Proceedings of the 18th European Control Conference, 2020

2019
Learning Bayesian networks using the constrained maximum a posteriori probability method.
Pattern Recognit., 2019

Learning Bayesian network parameters via minimax algorithm.
Int. J. Approx. Reason., 2019

Swarm UAVs Task and Resource Dynamic Assignment Algorithm Based on Task Sequence Mechanism.
IEEE Access, 2019

A Distributed Formation Control Method of Swarm UAVs Based on Artificial Potential Field and Consensus Strategy.
Proceedings of the 2019 Australian & New Zealand Control Conference (ANZCC), 2019

A Formation Maintenance and Reconstruction Method of UAV Swarm based on Distributed Control with Obstacle Avoidance.
Proceedings of the 2019 Australian & New Zealand Control Conference (ANZCC), 2019

2018
A Cooperative Search and Coverage Algorithm with Controllable Revisit and Connectivity Maintenance for Multiple Unmanned Aerial Vehicles.
Sensors, 2018

An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty.
Sensors, 2018

Structure Learning of Bayesian Networks by Finding the Optimal Ordering.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Task Allocation Method for Multi-UAV Teams with Limited Communication Bandwidth.
Proceedings of the 15th International Conference on Control, 2018

Self-Adapted and Filtered Qualitative Maximum a Posterior Algorithm for Small Data Sets.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017
Microshell Arrays Enhanced Sensitivity in Detection of Specific Antibody for Reduced Graphene Oxide Optical Sensor.
Sensors, 2017

Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method.
Int. J. Approx. Reason., 2017

Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data.
Proceedings of the 3rd Workshop on Advanced Methodologies for Bayesian Networks, 2017

2016
基于式样单划分的XML数据并行转换方法研究 (Research on Parallel Transform of XML Data Based on XSLT Stylesheet Partitioning).
计算机科学, 2016

Bayesian approach to learn Bayesian networks using data and constraints.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Network building and communication strategy designing for multi-UAVs cooperative search.
Proceedings of the 14th International Conference on Control, 2016

2015
Learning Bayesian Network Parameters from Small Data Set: A Spatially Maximum a Posteriori Method.
Proceedings of the Advanced Methodologies for Bayesian Networks, 2015

2014
Effective Real-Time Unmanned Air Vehicle Path Planning in Presence of Threat Netting.
J. Aerosp. Inf. Syst., 2014

Approximate inference for dynamic Bayesian networks: sliding window approach.
Appl. Intell., 2014

DBN structure learning based on MI-BPSO algorithm.
Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014

2012
UAV Mobile Ground Target Pursuit Algorithm.
J. Intell. Robotic Syst., 2012

2011
Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments.
Soft Comput., 2011

2010
A solving algorithm for Target Assignment optimization model based on ACO.
Proceedings of the Sixth International Conference on Natural Computation, 2010

2009
A Kind of Data Repairing for Missing Data of Discrete Dynamic Bayesian Networks.
Proceedings of the Fifth International Conference on Natural Computation, 2009

Ship Recognition Based on Improved Forwards-Backwards Algorithm.
Proceedings of the Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009

2008
A Multi-objective Optimal Approach for UAV Routing in Reconnaissance Mission with Stochastic Observation Time.
Proceedings of the Foundations of Intelligent Systems, 17th International Symposium, 2008

2007
Double Unmanned Air Vehicle's Path Planning for Scout via Cross-Entropy Method.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Pattern Recognition for Ship Based on Bayesian Networks.
Proceedings of the Fourth International Conference on Fuzzy Systems and Knowledge Discovery, 2007

2006
A New Approach to Biomimetic Robots for Odor Source Localization.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2006

Bayesian Networks for Intelligent Decision of Airborne Weapon System.
Proceedings of the First International Conference on Innovative Computing, Information and Control (ICICIC 2006), 30 August, 2006


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