Bayesian Networks for Intelligent Decision of Airborne Weapon System. - Bo Li 004; Xiaoguang Gao 001 (ICICIC (3), 2006)

Pattern Recognition for Ship Based on Bayesian Networks. - QingJiang Wang; Xiaoguang Gao 001; Da-Qing Chen 001 (FSKD (4), 2007)

A Multi-objective Optimal Approach for UAV Routing in Reconnaissance Mission with Stochastic Observation Time. - Xingguang Peng; Xiaoguang Gao 001 (ISMIS, 2008)

Ship Recognition Based on Improved Forwards-Backwards Algorithm. - Haiyang Chen 004; Xiaoguang Gao 001 (FSKD (5), 2009)

A Kind of Data Repairing for Missing Data of Discrete Dynamic Bayesian Networks. - Haiyang Chen 004; Xiaoguang Gao 001; Jingsong Zheng (ICNC (6), 2009)

Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments. - Xingguang Peng; Xiaoguang Gao 001; Shengxiang Yang (Soft Comput., 2011)

UAV Mobile Ground Target Pursuit Algorithm. - Xiaowei Fu; Huicheng Feng; Xiaoguang Gao 001 (J. Intell. Robotic Syst., 2012)

DBN structure learning based on MI-BPSO algorithm. - Guoliang Li; Xiaoguang Gao 001; Ruohai Di (ICIS, 2014)

Approximate inference for dynamic Bayesian networks: sliding window approach. - Xiaoguang Gao 001; Jun-Feng Mei; Hai-Yang Chen 004; Da-Qing Chen 001 (Appl. Intell., 2014)

Effective Real-Time Unmanned Air Vehicle Path Planning in Presence of Threat Netting. - Xiaowei Fu; Xiaoguang Gao 001 (J. Aerosp. Inf. Syst., 2014)

Network building and communication strategy designing for multi-UAVs cooperative search. - Xiaowei Fu; Xiaoguang Gao 001 (ICARCV, 2016)

Bayesian approach to learn Bayesian networks using data and constraints. - Xiaoguang Gao 001; Yu Yang; Zhi-gao Guo; Da-Qing Chen 001 (ICPR, 2016)

Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data. - Zhigao Guo; Xiaoguang Gao 001; Ruohai Di (AMBN, 2017)

Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method. - Zhi-gao Guo; Xiaoguang Gao 001; Hao Ren; Yu Yang; Ruo-hai Di; Da-Qing Chen 001 (Int. J. Approx. Reason., 2017)

Self-Adapted and Filtered Qualitative Maximum a Posterior Algorithm for Small Data Sets. - Hui Cao; Xiaoguang Gao 001 (HPCC/SmartCity/DSS, 2018)

Task Allocation Method for Multi-UAV Teams with Limited Communication Bandwidth. - Xiaowei Fu; Jing Pan; Xiaoguang Gao 001; Bin Li; Jun Chen; Kun Zhang 029 (ICARCV, 2018)

An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty. - Xiaowei Fu; Hui Wang; Bin Li; Xiaoguang Gao 001 (Sensors, 2018)

A Cooperative Search and Coverage Algorithm with Controllable Revisit and Connectivity Maintenance for Multiple Unmanned Aerial Vehicles. - Zhong Liu; Xiaoguang Gao 001; Xiaowei Fu (Sensors, 2018)

A Formation Maintenance and Reconstruction Method of UAV Swarm based on Distributed Control with Obstacle Avoidance. - Xiaowei Fu; Jing Pan; Haixiang Wang; Xiaoguang Gao 001 (ANZCC, 2019)

A Distributed Formation Control Method of Swarm UAVs Based on Artificial Potential Field and Consensus Strategy. - Xiaowei Fu; Haixiang Wang; Jing Pan; Xiaoguang Gao 001 (ANZCC, 2019)

Swarm UAVs Task and Resource Dynamic Assignment Algorithm Based on Task Sequence Mechanism. - Xiaowei Fu; Peng Feng; Xiaoguang Gao 001 (IEEE Access, 2019)

Learning Bayesian network parameters via minimax algorithm. - Xiaoguang Gao 001; Zhi-gao Guo; Hao Ren; Yu Yang; Da-Qing Chen 001; Chuchao He 001 (Int. J. Approx. Reason., 2019)

Learning Bayesian networks using the constrained maximum a posteriori probability method. - Yu Yang; Xiaoguang Gao 001; Zhi-gao Guo; Da-Qing Chen 001 (Pattern Recognit., 2019)

Formation and Conical Obstacle Avoidance Control of UAS Based on Two-hop Network. - Zihao Chen; Xiaowei Fu; Xiaoguang Gao 001 (ECC, 2020)

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)

A Novel BN Learning Algorithm Based on Block Learning Strategy. - Xinyu Li; Xiaoguang Gao 001; Chenfeng 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)

The Dynamic Extensions of Fuzzy Grey Cognitive Maps. - Jun Chen; Xudong Gao 001; Jia Rong; Xiaoguang Gao 001 (IEEE Access, 2021)

A Novel Restricted Boltzmann Machine Training Algorithm With Dynamic Tempering Chains. - Xinyu Li; Xiaoguang Gao 001; Chenfeng Wang (IEEE Access, 2021)

Improved Local Search with Momentum for Bayesian Networks Structure Learning. - Xiaohan Liu; Xiaoguang Gao 001; Zidong Wang 002; Xinxin Ru (Entropy, 2021)

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)

Bidirectional heuristic search to find the optimal Bayesian network structure. - Xiangyuan Tan; Xiaoguang Gao 001; Zidong Wang 002; Chuchao He 001 (Neurocomputing, 2021)

Learning Bayesian networks using A* search with ancestral constraints. - Zidong Wang 002; Xiaoguang Gao 001; Xiangyuan Tan; Xiaohan Liu (Neurocomputing, 2021)

Determining the direction of the local search in topological ordering space for Bayesian network structure learning. - Zidong Wang 002; Xiaoguang Gao 001; Xiangyuan Tan; Xiaohan Liu (Knowl. Based Syst., 2021)

Learning Bayesian networks based on order graph with ancestral constraints. - Zidong Wang 002; Xiaoguang Gao 001; Yu Yang; Xiangyuan Tan; Daqing Chen 001 (Knowl. Based Syst., 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)

Learning the structure of Bayesian networks with ancestral and/or heuristic partition. - Xiangyuan Tan; Xiaoguang Gao 001; Zidong Wang 002; Hao Han; Xiaohan Liu; Da-Qing Chen 001 (Inf. Sci., 2022)

Learning Bayesian network parameters with soft-hard constraints. - Xinxin Ru; Xiaoguang Gao 001; Yangyang Wang; Xiaohan Liu (Neural Comput. Appl., 2022)

A hybrid feature selection algorithm and its application in bioinformatics. - Yangyang Wang; Xiaoguang Gao 001; Xinxin Ru; Pengzhan Sun 002; Jihan Wang (PeerJ Comput. Sci., 2022)

A metaheuristic causal discovery method in directed acyclic graphs space. - Xiaohan Liu; Xiaoguang Gao 001; Zidong Wang 002; Xinxin Ru; Qingfu Zhang 001 (Knowl. Based Syst., 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)

Bayesian network parameter learning using constraint-based data extension method. - Xinxin Ru; Xiaoguang Gao 001; Yangyang Wang; Xiaohan Liu (Appl. Intell., 2023)

The Weight-Based Feature Selection (WBFS) Algorithm Classifies Lung Cancer Subtypes Using Proteomic Data. - Yangyang Wang; Xiaoguang Gao 001; Xinxin Ru; Pengzhan Sun 002; Jihan Wang (Entropy, 2023)

Bayesian network parameter learning using fuzzy constraints. - Xinxin Ru; Xiaoguang Gao 001; Zidong Wang 002; Yangyang Wang; Xiaohan Liu (Neurocomputing, 2023)

Improving greedy local search methods by switching the search space. - Xiaohan Liu; Xiaoguang Gao 001; Xinxin Ru; Xiangyuan Tan; Zidong Wang 002 (Appl. Intell., 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)

On the Convergence of Sigmoid and tanh Fuzzy General Grey Cognitive Maps. - Xudong Gao 001; Xiaoguang Gao 001; Jia Rong; Ni Li; Yifeng Niu; Jun Chen (CoRR, 2024)

Investigating the Convergence of Sigmoid-Based Fuzzy General Grey Cognitive Maps. - Xudong Gao 001; Xiaoguang Gao 001; Jia Rong; Xiaolei Li; Ni Li; Yifeng Niu; Jun Chen (CoRR, 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)

Incorporating structural constraints into continuous optimization for causal discovery. - Zidong Wang 002; Xiaoguang Gao 001; Xiaohan Liu; Xinxin Ru; Qingfu Zhang 001 (Neurocomputing, 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)

The Improved Ordering-Based Search Method Incorporating with Ensemble Learning. - Hao Wang; Zidong Wang 002; Ruiguo Zhong; Xiaohan Liu; Xiaoguang Gao 001 (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)

HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition. - Xudong Gao 001; Xiaoguang Gao 001; Jia Rong; Xiaowei Chen; Xiang Liao; Jun Chen (Neurocomputing, 2025)

Bayesian network structure learning based on discrete artificial jellyfish search: Leveraging scoring and graphical properties. - Xuchen Yan; Xiaoguang Gao 001; Zidong Wang 002; Qianglong Wang; Xiaohan Liu (Swarm Evol. Comput., 2025)