百晓学者学者目录

高晓光

西北工业大学电子信息学院

个人简介

高晓光，西北工业大学电子信息学院教师，研究方向为武器工业与军事技术、自动化技术、计算机软件及计算机应用；主持或参与“西工大-莫航”硕士联合培养项目，多次赴莫斯科航空学院开展联合答辩、调研交流与合作研讨；曾随学院代表团赴香港高校开展人才招聘与学术交流。

精选作品

期刊论文

  1. Xiaoguang Gao, Zidong Wang (2026). Bayesian Networks and Causal Discovery. Entropy.DOI
  2. Zidong Wang, Xi Lin, Chuchao He, Xiaoguang Gao (2026). Robust Causal Discovery Under Imperfect Structural Constraints. Proceedings of the AAAI Conference on Artificial Intelligence.DOI
  3. Zuocheng Liu, Qi Feng, Z K Wang, Xiaoguang Gao (2026). Resource-Aware Surprise Reinforcement Learning for Collision Avoidance in Maritime UAV Encounters. Drones.DOI
  4. 王紫东，贺楚超，高晓光，闫栩辰，张青富（2025）. LLMs监督的因果威胁评估模型. 《指挥与控制学报》.DOI
  5. Xinxin Ru, Xiaoguang Gao, Yangyang Wang, Xiaohan Liu, Yao Li (2025). Bayesian network parameter learning with constraint tradeoff. Information Sciences.DOI
  6. Qi Feng, Yongming Wen, Chuyi Xiong, Ben Li, Xiaoguang Gao, Kaifang Wan, Cong Wang (2025). VHLformer: Decompose Attention Mechanism in Frequency Perspective for Traffic Flow Prediction. International Conference on Cyber-Physical Social Intelligence (ICCSI).DOI
  7. Xiaohan Liu, Qi Feng, Ziyi Yang, Shuying Wu, Xiaoguang Gao, Yuqing Yang, Chuchao He, Jia Ren (2025). An improved greedy equivalent search method based on relative entropy. Scientific Reports.DOI
  8. Zidong Wang, Fei Liu, Qi Feng, Qingfu Zhang, Xiaoguang Gao (2025). LLM-enhanced Score Function Evolution for Causal Structure Learning. International Joint Conference on Artificial Intelligence.DOI
  9. Yinglong Dang, Xiaoguang Gao, Zidong Wang (2025). A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection. Axioms.DOI
  10. Yinglong Dang, Xiaoguang Gao, Zidong Wang (2025). Stochastic Fractal Search for Bayesian Network Structure Learning Under Soft/Hard Constraints. Fractal and Fractional.DOI
  11. Qi Feng, Bo Li, Xiaohan Liu, Xiaoguang Gao, Kaifang Wan (2025). Low-high frequency network for spatial–temporal traffic flow forecasting. Engineering Applications of Artificial Intelligence.DOI
  12. Chenfeng Wang, Yongming Wen, Chuyi Xiong, Xiaoguang Gao, Kaifang Wan (2025). A Feature Balance Based Multi-Granularity Deep Network. International Conference on Control and Robotics Engineering (ICCRE).DOI
  13. Xudong Gao, Xiaoguang Gao, Jia Rong, Xiaowei Chen, Xiaowei Chen, Xiang Liao, Jun Chen (2025). HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition. Neurocomputing.DOI
  14. Yinglong Dang, Xiaoguang Gao, Zidong Wang (2025). A Novel Hyper-Heuristic Algorithm with Soft and Hard Constraints for Causal Discovery Using a Linear Structural Equation Model. Entropy.DOI
  15. Ruiguo Zhong, Zidong Wang, Hao Wang, Yanghui Jin, Shuangxia Bai, Xiaoguang Gao (2025). Bridging Intuition and Data: A Unified Bayesian Framework for Optimizing Unmanned Aerial Vehicle Swarm Performance. Entropy.DOI
  16. 汪强龙，高晓光，吴必聪，胡子剑，万开方（2024）. 受限玻尔兹曼机及其变体研究综述. 《系统工程与电子技术》.
  17. 王阳阳，高晓光，茹鑫鑫（2024）. 高维数据局部贝叶斯网络结构学习. 《系统工程与电子技术》.
  18. 王紫东，高晓光，刘晓寒（2024）. 基于Stacking策略的集成BN网络目标威胁评估. 《系统工程与电子技术》.
  19. 汪强龙，高晓光，李新宇，闫栩辰，万开方（2024）. 基于深度置信网络效能拟合的火控系统精度全局敏感性分析. 《兵工学报》.
  20. 高晓光，闫栩辰，王紫东，刘晓寒，冯奇（2024）. 基于评分缓存的节点序空间下BN结构学习. 《系统工程与电子技术》.
  21. Xuchen Yan, Xiaoguang Gao, Zidong Wang, Qianglong Wang, Xiaohan Liu (2024). Bayesian network structure learning based on discrete artificial jellyfish search: Leveraging scoring and graphical properties. Swarm and Evolutionary Computation.DOI
  22. Xiaokang Li, Tianyi Zhu, Zimu Bian, Zhefeng Yu, Xiaoguang Gao, Kaifang Wan (2024). An Improved Algorithm for Flight Maneuver Recognition and Evaluation Based on Support Vector Machines. International Conference on Cyber-Physical Social Intelligence (ICCSI).DOI
  23. Chenfeng Wang, Xiaoguang Gao, Xinyu Li, Bo Hu Li, Kaifang Wan (2024). A Benchmark Conservation Relevance Inference Method for Explaining Deep Networks with Multiple Feature Extraction Structures. International Conference on Cyber-Physical Social Intelligence (ICCSI).DOI
  24. Yinglong Dang, Xiaoguang Gao, Zidong Wang (2024). Choice Function-Based Hyper-Heuristics for Causal Discovery under Linear Structural Equation Models. Biomimetics.DOI
  25. Zidong Wang, Xiaoguang Gao, Xiaohan Liu, Xinxin Ru, Qingfu Zhang (2024). Incorporating structural constraints into continuous optimization for causal discovery. Neurocomputing.DOI
  26. Pengzhan Sun, Xiaoguang Gao, Bojie Zhang, Yangyang Wang (2024). SiamSGA: Siamese Symmetric Graph Attention Tracking. International Conference on Control and Robotics Engineering (ICCRE).DOI
  27. Yangyang Wang, Xiaoguang Gao, Pengzhan Sun, Xinxin Ru, Jihan Wang (2024). Local Bayesian Network Structure Learning for High-Dimensional Data. International Conference on Control and Robotics Engineering (ICCRE).DOI
  28. Yinglong Dang, Xiaoguang Gao, Zidong Wang (2024). A Novel Causal Discovery Method in Linear SEM with Structure Priors. International Conference on Control and Robotics Engineering (ICCRE).DOI
  29. Zuocheng Liu, Evgeny Sergeevich Neretin, Xiaoguang Gao, Kaifang Wan (2024). An Aircraft Collision Avoidance Method Based on Deep Reinforcement Learning. International Conference on Control and Robotics Engineering (ICCRE).DOI
  30. Xinyu Li, Xiaoguang Gao, Chenfeng Wang, Qianglong Wang, Bo Li, Kaifang Wan (2024). Relevance Inference Based on Direct Contribution: Counterfactual Explanation to Deep Networks for Intelligent Decision-Making. IEEE Transactions on Intelligent Vehicles.DOI
  31. Chenfeng Wang, Xiaoguang Gao, Xinyu Li, Bo Hu Li, Kaifang Wan (2024). Finding community structure in Bayesian networks by heuristic K-standard deviation method. Future Generation Computer Systems.DOI
  32. Hao Wang, Zidong Wang, Ruiguo Zhong, Xiaohan Liu, Xiaoguang Gao (2024). The Improved Ordering-Based Search Method Incorporating with Ensemble Learning. Cognitive Computation.DOI
  33. Xinyu Li, Xiaoguang Gao, Qianglong Wang, Chenfeng Wang, Bo Li, Kaifang Wan (2024). Feature Analysis Network: An Interpretable Idea in Deep Learning. Cognitive Computation.DOI
  34. 茹鑫鑫，高晓光，王阳阳（2023）. 基于模糊约束的贝叶斯网络参数学习. 《系统工程与电子技术》.
  35. 胡子剑，高晓光，万开方，张乐天，汪强龙，NERETIN Evgeny（2023）. 异策略深度强化学习中的经验回放研究综述. 《自动化学报》.DOI
  36. Qi Feng, Kaifang Wan, Xiaoguang Gao, Neretin Evgeny, Jinliang Li (2023). An Informer-based Spatio-Temporal network for traffic flow forecasting. International Conference on Cyber-Physical Social Intelligence (ICCSI).DOI
  37. Zhenqing Mei, Yizhe Li, Xiaoguang Gao, Weijie Wang, Qi Feng, Xinxin Ru (2023). Bayesian network parameter learning with constraint balance. International Conference on Cyber-Physical Social Intelligence (ICCSI).DOI
  38. Huan Chang, Xiaolin Xiong, Xiaoguang Gao, Fang Gao, Xiaohan Liu, Xuchen Yan (2023). Incorporating Path Constraints into Bayesian network under the Sparse Parent Graph. International Conference on Cyber-Physical Social Intelligence (ICCSI).DOI
  39. Chenfeng Wang, Xiaoguang Gao, Xinyu Li, Bo Li, Kaifang Wan (2023). FENet: A Feature Explanation Network with a Hierarchical Interpretable Architecture for Intelligent Decision-Making. IEEE Transactions on Intelligent Vehicles.DOI
  40. Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru, Qingfu Zhang (2023). A metaheuristic causal discovery method in directed acyclic graphs space. Knowledge-Based Systems.DOI
  41. Xiaohan Liu, Xiaoguang Gao, Xinxin Ru, Xiangyuan Tan, Zidong Wang (2023). Improving greedy local search methods by switching the search space. Applied Intelligence.DOI
  42. Xinxin Ru, Xiaoguang Gao, Zidong Wang, Yangyang Wang, Xiaohan Liu (2023). Bayesian network parameter learning using fuzzy constraints. Neurocomputing.DOI
  43. Chenfeng Wang, Xiaoguang Gao, Xinyu Li (2023). An Interpretable Deep Bayesian Model for Facial Micro-Expression Recognition. International Conference on Control and Robotics Engineering (ICCRE).DOI
  44. Xiaohan Liu, Xiaoguang Gao, Xinxin Ru, Zidong Wang (2023). A Hybrid Bayesian Network Structure Learning Algorithm in Equivalence Class Space. International Conference on Control and Robotics Engineering (ICCRE).DOI
  45. Xinyu Li, Xiaoguang Gao, Chenfeng Wang, Qianglong Wang (2023). A Feature Structure Based Interpretability Evaluation Approach for Deep Learning. International Conference on Control and Robotics Engineering (ICCRE).DOI
  46. Xiaoguang Gao, Xuchen Yan, Zidong Wang, Xiaohan Liu (2023). Bayesian Network Structure Learning Algorithm Based on Score Increment and Reduction. International Conference on Control and Robotics Engineering (ICCRE).DOI
  47. Qi Feng, Jinhui Zhang, Xiaoguang Gao, Maoqing Li, Chenxi Ning (2023). Research on Deep Spatio-Temporal Model and Its Application in Situation Prediction. International Conference on Control and Robotics Engineering (ICCRE).DOI
  48. Zijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai (2023). Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments. IEEE Transactions on Vehicular Technology.DOI
  49. Chen Jun, Gao Xudong, Rong Jia, Gao Xiaoguang (2022). A situation awareness assessment method based on fuzzy cognitive maps. Journal Of Systems Engineering And Electronics, Vol. 330, No. 50.DOI
  50. 高晓光（2022）. 空战仿真模型及效能分析. 《国防工业出版社》.
  51. Zijian Hu, Xiaoguang Gao, Kaifang Wan, Neretin Evgeny, Jinliang Li (2022). Imaginary filtered hindsight experience replay for UAV tracking dynamic targets in large-scale unknown environments. Chinese Journal of Aeronautics.DOI
  52. Xinxin Ru, Xiaoguang Gao, Yangyang Wang, Xiaohan Liu (2022). Bayesian network parameter learning using constraint-based data extension method. Applied Intelligence.DOI
  53. Xinxin Ru, Xiaoguang Gao, Yangyang Wang, Xiaohan Liu (2022). Learning Bayesian network parameters with soft-hard constraints. Neural Computing and Applications.DOI
  54. Qianglong Wang, Xiaoguang Gao, Kaifang Wan, Zijian Hu (2022). Generative and discriminative infinite restricted Boltzmann machine training. International Journal of Intelligent Systems.DOI
  55. Qianglong Wang, Xiaoguang Gao, Xinyu Li, Zijian Hu, Kaifang Wan (2022). A precise method for RBMs training using phased curricula. Multimedia Tools and Applications.DOI
  56. Dingwei Wu, Kaifang Wan, Jianqiang Tang, Xiaoguang Gao, Yiwei Zhai, Zhaohui Qi (2022). An Improved Method towards Multi-UAV Autonomous Navigation Using Deep Reinforcement Learning. International Conference on Control and Robotics Engineering (ICCRE).DOI
  57. Xiangyuan Tan, Xiaoguang Gao, Zidong Wang, Xiaohan Liu (2022). Bidirectional Heuristic Search for Bayesian Network Structure with Ancestral Partition. International Conference on Control and Robotics Engineering (ICCRE).DOI
  58. Qianglong Wang, Xiaoguang Gao, Zijian Hu, Kaifang Wan (2022). Infinite Fuzzy Restricted Boltzmann Machines for the Enhancement of Fuzzy Neural Networks. International Conference on Control and Robotics Engineering (ICCRE).DOI
  59. Wan Kaifang, Li Bo, Gao Xiaoguang, Hu Zijian, Yang Zhipeng (2021). A learning-based flexible autonomous motion control method for UAV in dynamic unknown environments. Journal Of Systems Engineering And Electronics, Vol. 320, No. 60.DOI
  60. Tan Xiangyuan, Gao Xiaoguang, He Chuchao, Wang Zidong (2021). Causal constraint pruning for exact learning of Bayesian network structure. Journal Of Systems Engineering And Electronics, Vol. 320, No. 40.DOI
  61. Kaifang Wan, Dingwei Wu, Bo Li, Xiaoguang Gao, Zijian Hu, Daqing Chen (2021). ME‐MADDPG: An efficient learning‐based motion planning method for multiple agents in complex environments. International Journal of Intelligent Systems.DOI
  62. Xiangyuan Tan, Xiaoguang Gao, Zidong Wang, Hao Han, Xiaohan Liu, Daqing Chen (2021). Learning the structure of Bayesian networks with ancestral and/or heuristic partition. Information Sciences.DOI
  63. Kaifang Wan, Dingwei Wu, Yiwei Zhai, Bo Li, Xiaoguang Gao, Zijian Hu (2021). An Improved Approach towards Multi-Agent Pursuit–Evasion Game Decision-Making Using Deep Reinforcement Learning. Entropy.DOI
  64. Zidong Wang, Xiaoguang Gao, Xiangyuan Tan, Xiaohan Liu (2021). Determining the direction of the local search in topological ordering space for Bayesian network structure learning. Knowledge-Based Systems.DOI
  65. Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru (2021). Improved Local Search with Momentum for Bayesian Networks Structure Learning. Entropy.DOI
  66. Zidong Wang, Xiaoguang Gao, Xiangyuan Tan, Xiaohan Liu (2021). Learning Bayesian networks using A* search with ancestral constraints. Neurocomputing.DOI
  67. Dingwei Wu, Kaifang Wan, Xiaoguang Gao, Zijian Hu (2021). Multiagent Motion Planning Based on Deep Reinforcement Learning in Complex Environments. International Conference on Control and Robotics Engineering (ICCRE).DOI
  68. Zijian Hu, Xiaoguang Gao, Kaifang Wan, Yiwei Zhai, Qianglong Wang (2021). Relevant experience learning: A deep reinforcement learning method for UAV autonomous motion planning in complex unknown environments. Chinese Journal of Aeronautics.DOI
  69. Jun Chen, Xudong Gao, Jia Rong, Xiaoguang Gao (2021). The Dynamic Extensions of Fuzzy Grey Cognitive Maps. IEEE Access.DOI
  70. Qin Chao, Gao Xiaoguang (2020). Distributed spatio-temporal generative adversarial networks. Journal Of Systems Engineering And Electronics, Vol. 310, No. 30.DOI
  71. Wu Gaofeng, Wan Kaifang, Gao Xiaoguang, Fu Xiaowei (2020). Placement of unmanned aerial vehicles as communication relays in two-tiered multi-agent system: clustering based methods. Journal Of Systems Engineering And Electronics, Vol. 31, No. 2.DOI
  72. 高晓光，王晨凤，邸若海（2020）. 一种学习稀疏BN最优结构的改进K均值分块学习算法. 《自动化学报》.DOI
  73. 秦超，高晓光，万开方（2020）. 深度卷积记忆网络时空数据模型. 《自动化学报》.DOI
  74. 万开方，张炜，高晓光（2020）. 有人/无人机编队协同闪烁干扰策略优化与效能评估方法. 《电光与控制》.
  75. 高晓光，杨宇（2020）. 基于贝叶斯网的舰艇防空威胁评估. 《战术导弹技术》.DOI
  76. Xinyu Li, Xiaoguang Gao, Chenfeng Wang (2020). A Novel Restricted Boltzmann Machine Training Algorithm With Dynamic Tempering Chains. IEEE Access.DOI
  77. Xinyu Li, Xiaoguang Gao, Chenfeng Wang (2020). A Novel BN Learning Algorithm Based on Block Learning Strategy. Sensors.DOI
  78. Xiangyuan Tan, Xiaoguang Gao, Zidong Wang, Chuchao He (2020). Bidirectional heuristic search to find the optimal Bayesian network structure. Neurocomputing.DOI
  79. Zidong Wang, Xiaoguang Gao, Yu Yang, Xiangyuan Tan, Daqing Chen (2020). Learning Bayesian networks based on order graph with ancestral constraints. Knowledge-Based Systems.DOI
  80. Chao QIN, Xiaoguang Gao (2020). Spatio‐Temporal Generative Adversarial Networks. Chinese Journal of Electronics.DOI
  81. Zihao Chen, Xiaowei Fu, Xiaoguang Gao (2020). Formation and Conical Obstacle Avoidance Control of UAS Based on Two-hop Network. European Control Conference (ECC).DOI
  82. Zijian Hu, Kaifang Wan, Xiaoguang Gao, Yiwei Zhai, Qianglong Wang (2020). Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV’s Autonomous Motion Planning in Complex Unknown Environments. Sensors.DOI
  83. Kaifang Wan, Xiaoguang Gao, Zijian Hu, Wei Zhang (2020). A RDA-Based Deep Reinforcement Learning Approach for Autonomous Motion Planning of UAV in Dynamic Unknown Environments. Journal of Physics Conference Series.DOI
  84. Kaifang Wan, Xiaoguang Gao, Zijian Hu, Gaofeng Wu (2020). Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning. Remote Sensing.DOI
  85. Chuchao He, Xiaoguang Gao, Kaifang Wan (2020). MMOS+ Ordering Search Method for Bayesian Network Structure Learning and Its Application. Chinese Journal of Electronics.DOI
  86. Xiaowei Fu, Jing Samantha Pan, Haixiang Wang, Xiaoguang Gao (2020). A formation maintenance and reconstruction method of UAV swarm based on distributed control. Aerospace Science and Technology.DOI
  87. Gaofeng Wu, Xiaoguang Gao, Kaifang Wan (2020). Mobility Control of Unmanned Aerial Vehicle as Communication Relay to Optimize Ground-to-Air Uplinks. Sensors.DOI
  88. Qianglong Wang, Xiaoguang Gao, Kaifang Wan, Fei Li, Zijian Hu (2020). A Novel Restricted Boltzmann Machine Training Algorithm with Fast Gibbs Sampling Policy. Mathematical Problems in Engineering.DOI
  89. Yang Yu, Gao Xiaoguang, Guo Zhigao (2019). Finding optimal Bayesian networks by a layered learning method. Journal Of Systems Engineering And Electronics, Vol. 300, No. 50.DOI
  90. Gao Xiaoguang, Yang Yu, Guo Zhigao (2019). Learning Bayesian networks by constrained Bayesian estimation. Journal Of Systems Engineering And Electronics, Vol. 30, No. 3.DOI
  91. 秦超，高晓光，陈大庆（2019）. 基于Bagging-Down SGD算法的分布式深度网络. 《系统工程与电子技术》.
  92. 冯琦，孙宁，朱金冬，高晓光（2019）. 基于遗传规划的炸弹弹道分组拟合模型. 《系统工程与电子技术》.
  93. 谭翔元，高晓光，贺楚超（2019）. 基于马尔科夫毯约束的最优贝叶斯网络结构学习算法. 《电子学报》.
  94. 李波，范盘龙，李卿莹，高晓光（2019）. 一种综合优势下的空空导弹接力制导混合优化方法. 《宇航学报》.
  95. 高晓光，李新宇，岳勐琪，张金辉，赵利强，吴高峰，李飞（2019）. 基于深度学习的地空导弹发射区拟合算法. 《航空学报》.
  96. 符小卫，魏可，李斌，高晓光（2019）. 基于联盟的无人机集群编队控制方法. 《系统工程与电子技术》.
  97. Manxi Wang, Liandong Wang, Zidong Wang, Xiaoguang Gao, Ruohai Di (2019). Improved Parameter Uniform Priors in Bayesian Network Structure Learning. IOP Conference Series Earth and Environmental Science.DOI
  98. Yang Fan Yu, Xiaoguang Gao, Zhigao Guo, Daqing Chen (2019). Learning Bayesian networks using the constrained maximum a posteriori probability method. Pattern Recognition.DOI
  99. Xiaowei Fu, Peng Feng, Bin Li, Xiaoguang Gao (2019). A Two-Layer Task Assignment Algorithm for UAV Swarm Based on Feature Weight Clustering. International Journal of Aerospace Engineering.DOI
  100. Xiaowei Fu, Jing Samantha Pan, Haixiang Wang, Xiaoguang Gao (2019). A Formation Maintenance and Reconstruction Method of UAV Swarm based on Distributed Control with Obstacle Avoidance. Australian & New Zealand Control Conference (ANZCC).DOI
  101. Xiaowei Fu, Haixiang Wang, Jing Samantha Pan, Xiaoguang Gao (2019). A Distributed Formation Control Method of Swarm UAVs Based on Artificial Potential Field and Consensus Strategy. Australian & New Zealand Control Conference (ANZCC).DOI
  102. Gaofeng Wu, Xiaoguang Gao, Xiaowei Fu, Kaifang Wan, Ruohai Di (2019). Mobility control of unmanned aerial vehicle as communication relay in airborne multi-user systems. Chinese Journal of Aeronautics.DOI
  103. Xiaowei Fu, Peng Feng, Xiaoguang Gao (2019). Swarm UAVs Task and Resource Dynamic Assignment Algorithm Based on Task Sequence Mechanism. IEEE Access.DOI
  104. Zijian Hu, Kaifang Wan, Xiaoguang Gao, Yiwei Zhai (2019). A Dynamic Adjusting Reward Function Method for Deep Reinforcement Learning with Adjustable Parameters. Mathematical Problems in Engineering.DOI
  105. He Chuchao, Gao Xiaoguang, Guo Zhigao (2018). Structure learning on Bayesian networks by finding the optimal ordering with and without priors. Journal Of Systems Engineering And Electronics, Vol. 29, No. 6.DOI
  106. Chen Jun, Qiu Xunjie, Rong Jia, Gao Xiaoguang (2018). Design method of organizational structure for MAVs and UAVs heterogeneous team with adjustable autonomy. Journal Of Systems Engineering And Electronics, Vol. 290, No. 20.DOI
  107. Wan Kaifang, Gao Xiaoguang, Li Bo, Li Fei (2018). Using approximate dynamic programming for multi-ESM scheduling to track ground moving targets. Journal Of Systems Engineering And Electronics, Vol. 290, No. 10.DOI
  108. 刘重，高晓光，符小卫（2018）. 基于通信与观测联合优化的多无人机协同目标跟踪控制. 《控制与决策》.DOI
  109. 孙宁，冯琦，高晓光，刘超（2018）. 缺失数据下基于直觉模糊的动态威胁评估. 《火力与指挥控制》.
  110. 高晓光，李飞，万开方（2018）. 数据丢包环境下的多传感器协同跟踪策略研究. 《系统工程与电子技术》.
  111. 李波，周静杨，高晓光（2018）. 基于拍卖算法的相控阵雷达任务调度方法. 《系统工程与电子技术》.
  112. 李波，李卿莹，高晓光，张春燕（2018）. 基于序优化的多传感器协同雷达辐射控制. 《系统工程与电子技术》.
  113. 符小卫，冯鹏，高晓光，刘重（2018）. 通信延迟约束下多无人机任务指派冲突消解. 《系统工程与电子技术》.
  114. 李波，李曦彤，高晓光，崔四杰（2018）. 基于SVM和Skyline查询的空地一体化攻击任务决策. 《系统工程与电子技术》.
  115. 高晓光，叶思懋，邸若海，寇振超（2018）. 基于融合先验方法的贝叶斯网络结构学习. 《系统工程与电子技术》.
  116. Fei Li, Xiaoguang Gao, Kaifang Wan (2018). Training Restricted Boltzmann Machine Using Gradient Fixing Based Algorithm. Chinese Journal of Electronics.DOI
  117. Hui Ying Cao, Xiaoguang Gao (2018). Self-Adapted and Filtered Qualitative Maximum a Posterior Algorithm for Small Data Sets. IEEE International Conference on High Performance Computing and Communications; IEEE International Conference on Smart City; IEEE International Conference on Data Science and Systems (HPCC/SmartCity/DSS).DOI
  118. Xiaoguang Gao, Fei Li, Kaifang Wan (2018). Accelerated Learning for Restricted Boltzmann Machine with a Novel Momentum Algorithm. Chinese Journal of Electronics.DOI
  119. Xiaowei Fu, Jing Samantha Pan, Xiaoguang Gao, Bin Li, Jun Chen, Kun Zhang (2018). Task Allocation Method for Multi-UAV Teams with Limited Communication Bandwidth. International Conference on Control, Automation, Robotics and Vision (ICARCV).DOI
  120. Xiaowei Fu, Wang Hui, Bin Li, Xiaoguang Gao (2018). An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty. Sensors.DOI
  121. Ruohai Di, Xiaoguang Gao, Zhigao Guo, Kaifang Wan (2018). A Threat Assessment Method for Unmanned Aerial Vehicle Based on Bayesian Networks under the Condition of Small Data Sets. Mathematical Problems in Engineering.DOI
  122. Zhong Liu, Xiaowei Fu, Xiaoguang Gao (2018). Co-Optimization of Communication and Sensing for Multiple Unmanned Aerial Vehicles in Cooperative Target Tracking. Applied Sciences.DOI
  123. Xiaowei Fu, Kunpeng Liu, Xiaoguang Gao (2018). Multi-UAVs Communication-Aware Cooperative Target Tracking. Applied Sciences.DOI
  124. zhong hai liu, Xiaoguang Gao, Xiaowei Fu (2018). A Cooperative Search and Coverage Algorithm with Controllable Revisit and Connectivity Maintenance for Multiple Unmanned Aerial Vehicles. Sensors.DOI
  125. Ruohai Di, Xiaoguang Gao, Zhigao Guo (2017). Learning Bayesian network parameters under new monotonic constraints. Journal Of Systems Engineering And Electronics, Vol. 280, No. 60.DOI
  126. 李波，王元勋，高晓光，崔四杰（2017）. 基于遗传算法的空地一体化攻击模糊比例导引律. 《兵工学报》.
  127. 段晓稳，高晓光，李波（2017）. 综合作战区同构舰载预警机巡逻策略分段滚动规划方法研究. 《电子学报》.
  128. 吴高峰，高晓光，符小卫（2017）. 一种基于多无人机的中继节点布置问题建模与优化方法. 《航空学报》.
  129. 李飞，高晓光，万开方（2017）. 基于改进并行回火算法的RBM网络训练研究. 《自动化学报》.DOI
  130. 刘重，高晓光，符小卫（2017）. 带信息素回访机制的多无人机分布式协同目标搜索. 《系统工程与电子技术》.
  131. 李飞，高晓光，万开方（2017）. 基于权值动量的RBM加速学习算法研究. 《自动化学报》.DOI
  132. 邸若海，高晓光，郭志高（2017）. 基于改进BIC评分的贝叶斯网络结构学习. 《系统工程与电子技术》.
  133. 陈军，徐嘉，高晓光（2017）. 基于ABFCM模型框架的UCAV自主攻击决策. 《系统工程与电子技术》.
  134. Xiaowei Fu, Haiyang Bi, Xiaoguang Gao (2017). Multi‐UAVs Cooperative Localization Algorithms with Communication Constraints. Mathematical Problems in Engineering.DOI
  135. Kun Zhang, Xiaoguang Gao (2016). Distributed tracking control of unmanned aerial vehicles under wind disturbance and model uncertainty. Journal Of Systems Engineering And Electronics, Vol. 270, No. 60.DOI
  136. 符小卫，魏广伟，高晓光（2016）. 不确定环境下多无人机协同区域搜索算法. 《系统工程与电子技术》.
  137. 贺楚超，高晓光（2016）. 直升机火控系统精度敏感性分析的BNSobol法. 《航空学报》.
  138. 邸若海，高晓光，郭志高（2016）. 小数据集BN建模方法及其在威胁评估中的应用. 《电子学报》.
  139. 郭志高，高晓光，邸若海（2016）. 小数据集条件下贝叶斯网络自适应参数学习方法. 《控制理论与应用》.
  140. 李飞，高晓光，万开方（2016）. 基于动态Gibbs采样的RBM训练算法研究. 《自动化学报》.DOI
  141. Xiaoguang Gao, Yang Fan Yu, Zhigao Guo, Chen Da-qing (2016). Bayesian approach to learn Bayesian networks using data and constraints. Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition.DOI
  142. Syed Arsalan Ali, Xiaoguang Gao, Xiaowei Fu (2016). Decentralized coalition formation of multiple UAVs in an uncertain region. IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC).DOI
  143. Qin Chao, Xiaoguang Gao, Chen Da-Qing (2016). On Distributed Deep Network for Processing Large-Scale Sets of Complex Data. International Conference on Intelligent Human-Machine Systems and Cybernetics.DOI
  144. Kun Zhang, Xiaoguang Gao (2016). Distributed Tracking of Unmanned Aerial Vehicles with Switching Interactions. International Conference on Intelligent Human-Machine Systems and Cybernetics.DOI
  145. zhong hai liu, Xiaoguang Gao, Xiaowei Fu (2016). Coalition formation for multiple heterogeneous UAVs cooperative search and prosecute with communication constraints. Chinese Control and Decision Conference (CCDC).DOI
  146. 高晓光，万开方，李波，李飞（2015）. 基于PPSO-MPC的多雷达协同反隐身指示搜索任务规划. 《电子学报》.
  147. 陈军，汪瑨昇，张修社，高晓光，王小军（2015）. 基于弹道仿真的垂直发射型舰空导弹杀伤区模型. 《火力与指挥控制》.
  148. 杨宇，高晓光，郭志高（2015）. 小数据集条件下基于数据再利用的BN参数学习. 《自动化学报》.DOI
  149. 高晓光，薛亚勇，温增葵（2015）. IMA双层调度算法中的任务可调度性分析方法. 《航空学报》.
  150. 陈军，张新伟，徐嘉，高晓光（2015）. 有人/无人机混合编队有限干预式协同决策. 《航空学报》.
  151. 万开方，高晓光，李波，梅军峰（2015）. 基于部分可观察马尔可夫决策过程的多被动传感器组网协同反隐身探测任务规划. 《兵工学报》.
  152. 刘重，高晓光，符小卫，牟之英（2015）. 未知环境下异构多无人机协同搜索打击中的联盟组建. 《兵工学报》.
  153. 段晓稳，高晓光，李波（2015）. 综合作战区舰载预警机防空警戒控制策略研究. 《系统工程与电子技术》.
  154. 符小卫，崔洪杰，高晓光（2015）. 多无人机集结问题分布式求解方法. 《系统工程与电子技术》.
  155. Xiangdong Hao, Fei Li, Xiaoguang Gao (2015). Construction of information fusion system based on cloud computing. International Conference on Computer Science and Network Technology (ICCSNT).DOI
  156. zhong hai liu, Xiaoguang Gao, Xiaowei Fu (2015). Coalition Formation for Multiple Heterogeneous UAVs in Unknown Environment. International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC).DOI
  157. Kun Zhang, Xiaoguang Gao, Daqing Chen (2015). Three Dimensional Trajectory Tracking for Unmanned Aerial Vehicles in Time-Varying Winds. International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC).DOI
  158. 高晓光，李青原，邸若海（2014）. 基于DBN威胁评估的MPC无人机三维动态路径规划. 《系统工程与电子技术》.
  159. 符小卫，程思敏，高晓光（2014）. 无人机协同中继过程中的路径规划与通信优化. 《系统工程与电子技术》.
  160. 高晓光，邸若海，郭志高（2014）. 基于改进粒子群优化算法的贝叶斯网络结构学习. 《西北工业大学学报》.
  161. 符小卫，李建，高晓光（2014）. 带通信约束的多无人机协同搜索中的目标分配. 《航空学报》.
  162. 邸若海，高晓光，郭志高（2014）. 基于单调性约束的离散贝叶斯网络参数学习. 《系统工程与电子技术》.
  163. 符小卫，李金亮，高晓光（2014）. 威胁联网下无人作战飞机突防作战航迹规划. 《航空学报》.
  164. 任鹏，高晓光（2014）. 有限干预下的UAV低空突防航迹规划. 《系统工程与电子技术》.
  165. 刘重，高晓光，符小卫，郤文清（2014）. 基于反步法和非线性动态逆的无人机三维航路跟踪制导控制. 《兵工学报》.
  166. 梅军峰，高晓光，万开方（2014）. 小数据集条件下基于不确定先验的BN参数学习. 《系统工程与电子技术》.
  167. 任鹏，高晓光（2014）. 基于NAPPGA算法的无人机低空突防航迹规划. 《计算机仿真》.
  168. 李琳，高晓光（2014）. 有/无人机协同作战指挥控制的关键技术. 《2014第二届中国指挥控制大会论文集（上）》.
  169. 郭志高，高晓光，邸若海（2014）. 小数据集条件下基于双重约束的BN参数学习. 《自动化学报》.
  170. Fei Li, Xiaoguang Gao, Bo Li (2014). A Study on Search Strategies of Netted Surveillance Radar. Advances in intelligent systems research/Advances in Intelligent Systems Research.DOI
  171. Guoliang Li, Xiaoguang Gao, Ruohai Di (2014). DBN structure learning based on MI-BPSO algorithm. IEEE/ACIS International Conference on Computer and Information Science (ICIS).DOI
  172. Peng Ren, Xiaoguang Gao, Jun Chen (2014). Human-UAV Coordinated Flight Path Planning of UAV Low-Altitude Penetration on Pop-Up Threats. Communications in computer and information science.DOI
  173. Xiaowen Duan, Xiaoguang Gao (2014). Air-to-ground Attack Path Planning Method Without Terrain Restriction. Advances in intelligent systems research/Advances in Intelligent Systems Research.DOI
  174. Viacheslav Zotov, Xiaoguang Gao (2013). Intermediate carriers for UAV swarms: problem of fleet composition. Journal Of Systems Engineering And Electronics, Vol. 24, No. 1.DOI
  175. 黄世强，高晓光，任佳（2013）. DDBN的无人机决策推理模型参数学习. 《火力与指挥控制》.
  176. 李建，符小卫，高晓光（2013）. 通信约束下的多无人机协同航路规划. 《电光与控制》.
  177. 符小卫，冯慧成，高晓光（2013）. 通信距离约束下双无人机目标跟踪算法. 《系统工程与电子技术》.
  178. 李波，刘学全，高晓光（2013）. 基于BP网络和序优化方法的火控攻击方案寻优. 《系统工程与电子技术》.
  179. 高晓光，万开方，李波，刘学全（2013）. 基于云协同的网络集群反隐身火控系统设计. 《系统工程与电子技术》.
  180. 张拓，高晓光（2013）. 基于灰色AHP方法的综合航电系统效能. 《火力与指挥控制》.
  181. 段晓稳，符小卫，高晓光（2013）. 支援干扰下ASLC警戒雷达的探测区域计算方法. 《火力与指挥控制》.
  182. 符小卫，李金亮，高晓光（2013）. 防空威胁联网建模与分析. 《兵工学报》.
  183. 王婷，符小卫，高晓光（2013）. 基于改进遗传算法的异构多无人机任务分配. 《火力与指挥控制》.
  184. 陈心华，高晓光，李波（2013）. 电视指令制导导弹多机协同抗有源干扰. 《火力与指挥控制》.
  185. Xiaoguang Gao (2013). Modeling and Analysing of Air-defense Threat Netting. Acta Armamentarii.
  186. Xiaoguang Gao (2013). A Controlled Angle Approach for Stable Scanning of Terminal-Sensitivity Projectile. Electronics Optics & Control.
  187. Xiaoguang Gao, Mei Jun-feng, Haiyang Chen, Daqing Chen (2013). Approximate inference for dynamic Bayesian networks: sliding window approach. Applied Intelligence.DOI
  188. Kaifang Wan, Xiaoguang Gao, Xuequan Liu, Sijie Cui (2013). A Cloud Cooperative Attack System for networking anti-stealth combat. IEEE International Conference on Software Engineering and Service Science (ICSESS).DOI
  189. Xiaoguang Gao (2013). Cooperative Multi-UAV Path Planning with Communication Constraints. Electronics Optics & Control.
  190. Xiaoguang Gao (2013). Computation of Detection Coverage for ASLC Warning Radar under Stand-off Jamming. Fire Control and Command Control.
  191. 王浩，高晓光（2012）. 基于连续帧的红外小目标检测技术. 《火力与指挥控制》.
  192. 高晓光，魏小丰，郑景嵩（2012）. 基于改进威胁代价的无人机路径在线重规划. 《火力与指挥控制》.
  193. 史建国，高晓光（2012）. 变结构离散动态贝叶斯网络的快速推理算法. 《火力与指挥控制》.
  194. 万开方，高晓光，刘宇，魏小丰（2012）. 结合离差最大化的多属性群体决策TOPSIS威胁评估. 《火力与指挥控制》.
  195. 温增葵，高晓光，魏小丰（2012）. 基于VxWorks的机载火控仿真系统设计与实现. 《火力与指挥控制》.
  196. 李波，李效弟，高晓光，郑景嵩（2012）. 机载自卫电子对抗仿真评估系统. 《火力与指挥控制》.
  197. 邸若海，高晓光（2012）. 模糊离散动态贝叶斯网络的目标威胁等级评估. 《火力与指挥控制》.
  198. 樊昊，高晓光，王云辉，曲艺海（2012）. 基于层次化的SVDDBNs的多机动平台目标分配方式. 《火力与指挥控制》.
  199. 包勇，符小卫，高晓光（2012）. 势场理论的多无人机协同路径规划方法. 《火力与指挥控制》.
  200. 茹伟，高晓光（2012）. 基于效费比的武器目标分配. 《火力与指挥控制》.
  201. 陈海洋，高晓光，段晓稳（2012）. 改进的前向信息修补算法及其应用. 《火力与指挥控制》.
  202. 陈海洋，高晓光，梅军峰（2012）. 广义隐马尔可夫模型的快速前向后向算法. 《系统工程与电子技术》.
  203. 王云辉，高晓光，樊昊（2012）. 机载软硬杀伤武器协同使用的动态决策方法. 《系统工程与电子技术》.
  204. 任佳，高晓光，白勇（2012）. 信息不完备小样本条件下离散DBN参数学习. 《系统工程与电子技术》.
  205. 郭文强，高晓光，任佳（2012）. 分段平稳变结构DBN模型区域内的结构学习. 《系统工程与电子技术》.
  206. Xiaowei Fu, Huicheng Feng, Xiaoguang Gao (2012). UAV Mobile Ground Target Pursuit Algorithm. Journal of Intelligent & Robotic Systems.DOI
  207. Viacheslav Zotov, Xiaoguang Gao (2012). Passive Air Defense Threat Detection for UAV Swarms Based on Dynamic Bayesian Networks: Towards Better Threat Location. International Conference on Electric Information and Control Engineering.DOI
  208. Xiaoguang Gao (2012). Study on radar burst technology based on multi-sensor synergy. Journal of Civil Aviation University of China.
  209. Xiaoguang Gao (2012). A Method of Cooperative Path Planning of Multiple UAVs on Potential Field Theory. Fire Control and Command Control.
  210. Xiaoguang Gao (2012). Weapon Target Allocation Based on Cost-Effectiveness. Fire Control and Command Control.
  211. Jun Chen, Guanhua Yu, Xiaoguang Gao (2012). Cooperative threat assessment of multi-aircrafts based on synthetic fuzzy cognitive map. Journal of Shanghai Jiaotong University (Science).DOI
  212. Xiaoguang Gao (2012). The Threaten Grade Assessment Model of Target Based on Fuzzy Discrete Dynamic Bayesian Networks. Fire Control and Command Control.
  213. Xiaoguang Gao (2012). Programming algorithm for reference of discrete dynamic Bayesian network. Journal of Computer Applications.
  214. Jun Wang, Xiaoguang Gao, Yongwen Zhu (2011). Solving algorithm for TA optimization model based on ACO-SA. Journal Of Systems Engineering And Electronics, Vol. 220, No. 40.DOI
  215. 唐政，高晓光，孙超（2011）. 基于多层递推离散动态贝叶斯网络的协同决策优化. 《火力与指挥控制》.
  216. 彭星光，高晓光（2011）. 基于组合平行六面体的复杂目标毁伤效能评估. 《火力与指挥控制》.
  217. 任佳，高晓光，茹伟（2011）. 数据缺失的小样本条件下BN参数学习. 《系统工程理论与实践》, Vol. 31, No. 1.下载原文
  218. 万开方，高晓光，刘宇（2011）. 基于变效能因子的Lanchester协同干扰最优功率分配. 《系统工程与电子技术》.
  219. 樊昊，高晓光（2011）. 基于分层的SVDDBN的空间作战决策研究. 《宇航学报》.
  220. 端军红，高晓光（2011）. 卫星对动能拦截器的一种规避策略. 《宇航学报》.
  221. 邸若海，高晓光（2011）. 基于限制型粒子群优化的贝叶斯网络结构学习. 《系统工程与电子技术》.
  222. 任佳，高晓光，茹伟（2011）. 目标数据缺失下离散动态贝叶斯网络的参数学习. 《系统工程与电子技术》.
  223. 牛绿伟，高晓光，张坤，李波（2011）. 划分超视距、近距的多机协同作战战术决策. 《西北工业大学学报》.
  224. 刘志强，高晓光，孟波波，李波，许剑锋（2011）. 三维多目标纯测向无源定位方法. 《火力与指挥控制》.
  225. 刘志强，高晓光，李波，王金泉（2011）. 电子干扰下遥控导弹的火力控制方法. 《火力与指挥控制》.
  226. 王浩，高晓光（2011）. 中远程空空反辐射导弹的战术问题. 《火力与指挥控制》.
  227. 万开方，高晓光，魏小丰，刘宇（2011）. HLA机群协同空战下指挥与控制系统建模与仿真. 《火力与指挥控制》.
  228. 杨少环，高晓光，符小卫（2011）. 基于博弈论的无人机搜索路径规划. 《系统工程与电子技术》.
  229. 牛绿伟，高晓光，张坤，孟波波（2011）. 串并联结构分解目标毁伤评估. 《火力与指挥控制》.
  230. 茹伟，高晓光，张博（2011）. 基于维特比算法的无人机航路规划. 《火力与指挥控制》.
  231. 史国庆，高晓光，吴梦舒（2011）. 基于灰色聚类法的惯导仿真系统可信度评估. 《西北工业大学学报》.
  232. 田阔，符小卫，高晓光（2011）. 威胁联网下无人机路径在线规划. 《西北工业大学学报》.
  233. 史国庆，张建东，高晓光，吴勇（2011）. 大气数据计算机仿真系统可信度评估. 《西北工业大学学报》.
  234. 郭鲲，高晓光，李波（2011）. 空面电视制导导弹巡航段效能研究. 《火力与指挥控制》.
  235. 高晓光，陈海洋，史建国（2011）. 变结构动态贝叶斯网络的机制研究. 《自动化学报》.
  236. 彭星光，徐德民，高晓光（2011）. 基于Pareto解集关联与预测的动态多目标进化算法. 《控制与决策》.
  237. Xiaoguang Gao (2011). Bayesian network structure learning based on restricted particle swarm optimization. Systems engineering and electronics.
  238. Xiaoguang Gao (2011). An Orbit Maneuver Strategy for the Satellite Based on Evaluating the Pregnable Area of Incoming Kinetic Kill Vehicle. Journal of Astronautics.
  239. Xiaoguang Gao (2011). Study on Tactics of Mid-long Range Air-to-air Anti-Radiation Missile. Fire Control and Command Control.
  240. Viacheslav Zotov, Xiaoguang Gao (2011). Passive air defense threat detection and location for UAV swarms based on dynamic Bayesian networks. International Conference on System science, Engineering design and Manufacturing informatization.DOI
  241. Niu Lv-wei, Xiaoguang Gao, Bo Li (2011). Target assignment for multi-fighters coordinated air combat based on VLSN. IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC).DOI
  242. Kaifang Wan, Xiaoguang Gao (2011). Integrative tactical decision-making of information-based Cooperative Air Combat with ameliorative Lanchester equations. IEEE International Conference on Computer Science and Automation Engineering.DOI
  243. Jia Ren, Xiaoguang Gao (2011). Situation Assessment Model for UAV Disaster Relief in the City.DOI
  244. Xiaoguang Gao (2011). Operational effectiveness analyses of AH/UAV cooperative surveillance against mission. Flight Dynamics.
  245. Xiaoguang Gao (2011). A Damage Effectiveness Evaluation Model for Complex Target Using Combinational Parallelepipeds. Fire Control and Command Control.
  246. Shiqiang Huang, Xiaoguang Gao, Jia Ren (2011). Static Bayesian Network Parameter Learning Using Constraints.DOI
  247. Xiaoguang Gao (2011). Decision-Making Method for Space-Based Combat Based on Hierarchical Structure Varied Discrete Dynamic Bayesian Network. Journal of Astronautics.
  248. Zheng Tang, Xiaoguang Gao, Chao Sun (2010). Coordinated Bayesian optimal approach for the integrated decision between electronic countermeasure and firepower attack. Journal Of Systems Engineering And Electronics, Vol. 210, No. 30.DOI
  249. 郭文强，高晓光，侯勇严（2010）. 复杂系统的图模型多智能体协同故障诊断. 《计算机应用》.
  250. 刘志强，高晓光，杨建伟（2010）. 宽带测向阵列结构设计方法. 《西北工业大学学报》.
  251. 杨雨奇，高晓光，冯晓毅，范建平（2010）. 基于主轴分析和团块特征提取的ISAR目标检测方法. 《西北工业大学学报》.
  252. 彭星光，高晓光，魏小丰，孟波波（2010）. 基于粒子滤波的动态进化算法. 《西北工业大学学报》.
  253. 陈海洋，高晓光，樊昊（2010）. 变结构DDBNs的推理算法与多目标识别. 《航空学报》.
  254. 郭文强，高晓光，任佳，肖秦琨（2010）. 基于图模型自主优化的多无人机多目标攻击. 《系统工程与电子技术》.
  255. 彭星光，高晓光，魏小丰（2010）. 基于混合多目标进化算法的多无人机侦察路径规划. 《系统工程与电子技术》.
  256. 任佳，高晓光，郑景嵩，张艳（2010）. 复杂环境下的无人机任务决策模型. 《系统工程与电子技术》.
  257. 彭星光，高晓光（2010）. 动态环境下一种具有记忆能力的分布估计算法. 《控制与决策》.
  258. 高晓光，赵欢欢，任佳（2010）. 基于蚁群优化的贝叶斯网络学习. 《系统工程与电子技术》.
  259. 尚莹，高晓光，符小卫（2010）. 基于非线性PID控制的无人机飞控系统优化设计. 《飞行力学》.
  260. 樊昊，高晓光，王云辉（2010）. 子母拦截器集群拦截策略研究. 《系统工程与电子技术》.
  261. 彭星光，高晓光（2010）. 基于记忆辅助动态UMDA的UCAV编队动态目标分配. 《系统工程与电子技术》.
  262. 高晓光，胡明，郑景嵩（2010）. 突防任务中的单机对多目标干扰决策. 《系统工程与电子技术》.
  263. 刘振，史建国，高晓光（2010）. 图形模型在航迹规划中的应用. 《火力与指挥控制》.
  264. 郭伟，高晓光，陈军（2010）. 超视距空战中数据链系统通信延迟与补偿算法. 《火力与指挥控制》.
  265. 谢序，高晓光（2010）. 离散动态贝叶斯网络的递推算法. 《火力与指挥控制》.
  266. 史建国，高晓光（2010）. 飞行器突发威胁下的智能自主航路规划技术. 《火力与指挥控制》.
  267. 孟波波，高晓光，王云辉（2010）. 基于多项式拟合的无人机攻击路径规划. 《火力与指挥控制》.
  268. 王云辉，高晓光，郑俊（2010）. 基于攻击区匹配的机载雷达作战效能评估方法. 《火力与指挥控制》.
  269. 陈冲，高晓光，郑景嵩（2010）. 基于层次化的机载红外搜索跟踪系统仿真. 《火力与指挥控制》.
  270. 季晓光，高晓光，张建东，史国庆（2010）. 基于目标函数的综合航电系统性能评价. 《火力与指挥控制》.
  271. 高晓光，罗鹏升，田省民，季晓光（2010）. 空空武器射后有效性分析. 《火力与指挥控制》.
  272. 任佳，高晓光，张艳（2010）. 移动威胁情况下的无人机路径规划. 《控制理论与应用》.
  273. Viacheslav Zotov, Xiaoguang Gao (2010). Wide area search munition delivered by the intermediate carriers. International Conference on Signal Processing.DOI
  274. Shaohuan Yang, Xiaoguang Gao, Haiyang Chen (2010). Ground thread identification of the reconnaissance and strike integrated UAV based on improved Direct Inference algorithm. International Conference on Advanced Computer Theory and Engineering.DOI
  275. Xingguang Peng, Demin Xu, Xiaoguang Gao (2010). A dynamic genetic algorithm based on particle filter for UCAV formation control.
  276. Xingguang Peng, Xiaoguang Gao, Shengxiang Yang (2010). Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments. Soft Computing.DOI
  277. Junhong Duan, Xiaoguang Gao (2010). Design of the on-off control laws of kinetic kill vehicle's attitude and orbit control thrustors. Flight Dynamics.
  278. Xiaoguang Gao (2010). Simulation of Rearward-firing Capture Zone of Air-to-Air Missile. Jisuanji fangzhen.
  279. Gao Xiao-guang (2010). Mission planning for multiple UCAVs under the information netting. Flight Dynamics.
  280. Xiaowei Fu, zhong hai liu, Xiaoguang Gao (2010). Path Planning for UAV in Radar Network Area. WRI Global Congress on Intelligent Systems.DOI
  281. Xiaowei Fu, Xiaoguang Gao (2010). Genetic algorithm with adaptive immigrants for dynamic flight path planning.DOI
  282. Zhiqiang Liu, Xiaoguang Gao, Zhiqiang Liu, Hongguang Ma (2010). JDF and SJDF: Two DOA estimators for wideband jamming. International Conference on Signal Processing.DOI
  283. Yong Bao, Xiaowei Fu, Xiaoguang Gao (2010). Path planning for reconnaissance UAV based on Particle Swarm Optimization.DOI
  284. Jun Wang, Xiaoguang Gao, Yongwen Zhu, Hong Wang (2010). A solving algorithm for Target Assignment optimization model based on ACO. International Conference on Natural Computation (ICNC).DOI
  285. Peican Zhu, Xiaoguang Gao (2010). Real-time aviation decision based on Structure Variable Bayesian Network. International Conference on Advanced Computer Theory and Engineering.DOI
  286. Bo-bo Meng, Xiaoguang Gao (2010). UAV Path Planning Based on Bidirectional Sparse A* Search Algorithm. International Conference on Intelligent Computation Technology and Automation.DOI
  287. Guoqing Shi, Xiaoguang Gao (2010). Unmanned Aerial Vehicle Digital Visual Simulation System Load and Missile Modules Simulation Software Design. International Conference on Measuring Technology and Mechatronics Automation (ICMTMA).DOI
  288. Xiaoguang Gao (2010). Memory enhanced estimation of distribution algorithm in dynamic environments. Kongzhi yu juece.
  289. Huange Wang, Xiaoguang Gao, Chris P. Thompson (2010). A GA-Based Approach for Parameter Learning of Discrete Dynamic Bayesian Networks.DOI
  290. Xiaoguang Gao (2010). Simulaiton modeling of air-to-air missile based on UML. Flight Dynamics.
  291. Xiaoguang Gao (2010). Cooperative Velocity Planning for Multiple UCAVs in Hostile Environments. Jisuanji fangzhen.
  292. Xiaoguang Gao (2010). Dynamic target assignment method for UCAV fleet using memory enhanced dynamic UMDA. Systems engineering and electronics.
  293. Xiaoguang Gao (2010). Recursive Inference Algorithm for Discrete Dynamic Bayesian Networks. Fire Control and Command Control.
  294. 张艳，高晓光，魏小丰（2009）. 四维空间中的无人机动态路径规划及仿真. 《系统仿真学报》.
  295. 肖秦琨，高晓光，高嵩，王海芸（2009）. DBN结构学习度量分解性能分析. 《系统工程与电子技术》.
  296. 王庆江，高晓光，符小卫（2009）. 无威胁情况下任意两点间的无人机路径规划. 《系统工程与电子技术》.
  297. 马双林，高晓光（2009）. 一种光电瞄准系统的建模仿真方法. 《火力与指挥控制》.
  298. 史国庆，高晓光，吴勇，张建东（2009）. 1553B总线监测仪系统软件设计. 《火力与指挥控制》.
  299. 王君，高晓光（2009）. 空中目标敌我识别模型. 《火力与指挥控制》.
  300. 毕琼，高晓光，郑景嵩（2009）. 机载雷达功能仿真中地球曲率的影响. 《火力与指挥控制》.
  301. 季晓光，高晓光，李波（2009）. 新一代战斗机综合传感器自适应火控攻击技术. 《火力与指挥控制》.
  302. 端军红，高晓光（2009）. 动能拦截器逆轨拦截时攻击区的一种估算方法. 《西北工业大学学报》.
  303. 孟波波，高晓光，王云辉（2009）. 无人作战飞机打击时敏目标的任务规划研究. 《计算机工程与应用》.
  304. 任佳，高晓光，赵欢欢（2009）. 基于目标状态估计的UAV路径重规划决策模型. 《控制与决策》.
  305. 陈军，高晓光，丁琳（2009）. 预警机指挥机群协同防御空战的威胁评估方法研究. 《西北工业大学学报》.
  306. 陈军，高晓光（2009）. 机群协同空战中的指控系统建模与分析. 《计算机工程与应用》.
  307. Jun Wang, Xiaoguang Gao, Hong Wang (2009). The Virtual BDAR System Design of Complex Weapon Equipment.DOI
  308. Huange Wang, Xiaoguang Gao, Chris P. Thompson (2009). Novel recursive inference algorithm for discrete dynamic Bayesian networks. Progress in Natural Science Materials International.DOI
  309. Bo-bo Meng, Xiaoguang Gao, Yunhui Wang (2009). Multi-mission Path Re-planning for Multiple Unmanned Aerial Vehicles Based on Unexpected Events. International Conference on Intelligent Human-Machine Systems and Cybernetics.DOI
  310. Haiyang Chen, Xiaoguang Gao (2009). Ship Recognition Based on Improved Forwards-Backwards Algorithm. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
  311. Xiaoguang Gao (2009). Research on Radiant Point Identification Based on Discrete Dynamic Bayesian Network. Jisuanji fangzhen.
  312. Xiaoguang Gao (2009). Simulation Research on Attacking Process of a Kind of Space-based Strike Weapon to Fixed Target on Ground. Jisuanji fangzhen.
  313. Huange Wang, Xiaoguang Gao, Chris P. Thompson (2009). Aircraft Target Recognition Based on Recursive Inference of Fuzzy Discrete DBNs. International Conference on Advanced Computer Control.DOI
  314. Xiaoguang Gao (2009). Discussion on Air Target IFF Model. Fire Control and Command Control.
  315. Xingguang Peng, Xiaoguang Gao (2009). A Hybrid Multi-objective Optimal Approach to Multiple UCAVs Coordinated Planning. International Conference on Intelligent Human-Machine Systems and Cybernetics.DOI
  316. Haiyang Chen, Xiaoguang Gao (2009). Forwards-Backwards Information Repairing Algorithm and Appliance on Discrete Dynamic Bayesian Networks. International Conference on Intelligent Human-Machine Systems and Cybernetics.DOI
  317. Haiyang Chen, Xiaoguang Gao, Jingsong Zheng (2009). A Kind of Data Repairing for Missing Data of Discrete Dynamic Bayesian Networks. International Conference on Natural Computation (ICNC).DOI
  318. Xiaoguang Gao (2009). Operational Effectiveness Evaluation of the Anti-ship Missile Weapon System of Surface Conbatant and Auxiliary Ships. Microprocessors.
  319. Xiaoguang Gao (2009). Dynamic Bayesian optimal algorithm via environment identification memory strategy. Computer Engineering and Applications Journal.
  320. Xiaoguang Gao (2009). One Method of Modeling and Simulation of Photoelectric Collimation System. Fire Control and Command Control.
  321. Chen Jun, Gao Xiaoguang, Ding Lin (2008). Design and operation strategies of the system for destroying time-sensitive target based on system effectiveness. Journal Of Systems Engineering And Electronics, Vol. 19, No. 6.
  322. Tang Zheng, Gao Xiaoguang (2008). Research on the self-defence electronic jamming decision-making based on the discrete dynamic Bayesian network. Journal Of Systems Engineering And Electronics, Vol. 190, No. 40.DOI
  323. 李波，高晓光，高劲松（2008）. “后射”火控系统作战效能分析. 《火力与指挥控制》.
  324. 唐政，高晓光，张莹（2008）. 利用有源干扰提高箔条干扰效果的方法. 《系统工程与电子技术》.
  325. 郑景嵩，高晓光，彭星光（2008）. 态势取样的机载雷达杂波影响. 《火力与指挥控制》.
  326. 王金泉，高晓光，史建国，李波（2008）. 无人机的侦察路径规划. 《火力与指挥控制》.
  327. 王庆江，高晓光（2008）. 激光制导炸弹的仿真及其有效投弹区的计算. 《火力与指挥控制》.
  328. 史建国，高晓光，王庆官（2008）. 变结构离散动态贝叶斯网络参数的自适应产生. 《系统工程与电子技术》.
  329. 陈长兴，高晓光，王永刚，冯刚（2008）. 多雷达组合交叉定位中的幻影剔除算法研究. 《西北工业大学学报》.
  330. 高靖，高晓光（2008）. 烟雾环境下激光制导炸弹导引头的光电建模. 《火力与指挥控制》.
  331. 张雪梅，高晓光（2008）. 贝叶斯网络用于作战态势评估. 《火力与指挥控制》.
  332. 何建华，高晓光（2008）. 基于网络中心战的一对一空战信息优势分析. 《西北工业大学学报》.
  333. 李波，高晓光（2008）. 单机多目标火力/电子战攻击综合决策. 《系统工程与电子技术》.
  334. 唐政，高晓光，张莹（2008）. 机载自卫有源压制干扰效果评估模型研究. 《系统工程与电子技术》.
  335. 季晓光，高晓光（2008）. 一种机载无源定位方法——干涉仪定位. 《火力与指挥控制》.
  336. 刘振，史建国，高晓光（2008）. 紧致遗传算法及其在武器目标分配中的应用. 《计算机工程与应用》.
  337. 陈军，高晓光，丁琳（2008）. 模糊认知图在预警机燃油管理中的应用. 《系统工程与电子技术》.
  338. 李波，高晓光（2008）. 编队空战中协同电子干扰的功率分配. 《系统工程与电子技术》.
  339. 王君，高晓光（2008）. 多雷达站组合三角定位算法研究. 《系统工程与电子技术》.
  340. 史建国，高晓光，李相民（2008）. 类爬山快速搜索算法在轨道攻击中的应用. 《火力与指挥控制》.
  341. 彭星光，高晓光（2008）. 红外成像制导反舰导弹模块化数字仿真. 《火力与指挥控制》.
  342. 魏小丰，高晓光（2008）. 攻防对抗的无人作战飞机效能评估系统. 《火力与指挥控制》.
  343. Xiaoguang Gao (2008). Model and Simulation of Terminal Maneuver for Anti-ship Missiles Penetrating "Phalanx" System. Jisuanji fangzhen.
  344. Wenqiang Guo, Xiaoguang Gao, Qinkun Xiao (2008). Multiple UAVs Cooperative Path Planning Based on Dynamic Bayesian Network. Chinese Control and Decision Conference (CCDC).DOI
  345. Wenqiang Guo, Xiaoguang Gao, Qinkun Xiao (2008). Bayesian Optimization Algorithm for Learning Structure of Dynamic Bayesian Networks from Incomplete Data. Chinese Control and Decision Conference (CCDC).DOI
  346. Xingguang Peng, Xiaoguang Gao (2008). A Multi-objective Optimal Approach for UAV Routing in Reconnaissance Mission with Stochastic Observation Time. Springer eBooks.DOI
  347. Xiaoguang Gao (2008). Application of Bayesian Networks to Situation Assessment. Fire Control and Command Control.
  348. Xiaoguang Gao (2008). Study on triangular locating algorithm for multi-radar station combination. Systems engineering and electronics.
  349. Xiaoguang Gao (2008). An Airborne Passive Location Algorithm-Interferometer Locating. Fire Control and Command Control.
  350. Xiaoguang Gao (2008). UCAV Effectiveness Evaluation System based on Offense-defense Countermeasure. Fire Control and Command Control.
  351. Xiaoguang Gao (2008). Photoelectric Modeling of Laser-guided Bomb Seeker in Fog Environment. Fire Control and Command Control.
  352. Xiaoguang Gao (2008). Simulation and Calculation of Effective Attack Area about Laser-guided Bomb. Fire Control and Command Control.
  353. Xiaoguang Gao (2008). Digital Modularized Simulation of IR Imaging Guidance Anti-ship Missile. Fire Control and Command Control.
  354. Xiaoguang Gao (2008). Study on Generalized Simulation Model of Air-to-Air Missile. Jisuanji fangzhen.
  355. 王庆江，高晓光（2007）. 基于贝叶斯网络的舰船识别. 《计算机工程与应用》.
  356. 符小卫，高晓光（2007）. 基于贝叶斯优化的三维飞行航迹规划. 《兵工学报》.
  357. 王金泉，高晓光，石兴杰（2007）. 双架次无人机(UAV)协同侦察的航路轨迹研究. 《计算机工程与科学》.
  358. 高晓光，王云辉，李波（2007）. 基于综合效能的火力/电子战协同攻击决策研究. 《系统工程与电子技术》.
  359. 史延科，高晓光（2007）. 分层任务网络在UCAV规划中的应用. 《火力与指挥控制》.
  360. 岳增坤，高晓光（2007）. 固定翼反潜巡逻机及其作战效能分析. 《火力与指挥控制》.
  361. 何建华，高晓光，杨莉，朱岩（2007）. 作战飞机信息通信方法. 《火力与指挥控制》.
  362. 柳毅，高晓光，卢广山，陈红林（2007）. 机载多智能体信息融合决策系统. 《火力与指挥控制》.
  363. 周克强，高晓光，岳增坤（2007）. 基于STK的1对1近距空战可视化仿真实现. 《火力与指挥控制》.
  364. 李波，高晓光，蔡付东（2007）. 越肩发射火控系统的鲁棒性研究. 《火力与指挥控制》.
  365. 唐政，高晓光，张莹（2007）. 机载雷达探测系统效能评估模型分析. 《火力与指挥控制》.
  366. 肖秦琨，高嵩，高晓光（2007）. 基于贝叶斯优化构建DBN结构优化算法. 《系统工程与电子技术》.
  367. 高晓光，樊昊（2007）. 天基反卫星攻击模式研究. 《火力与指挥控制》.
  368. 高晓光，肖秦琨（2007）. 非平稳随机系统动态贝叶斯结构学习关系网. 《航空学报》.
  369. 高晓光，史建国（2007）. 变结构离散动态贝叶斯网络及其推理算法. 《系统工程学报》.
  370. Xiaoguang Gao (2007). Operational Effectiveness Analysis of Anti-submarine Warfare Patrol Aircraft. Fire Control and Command Control.
  371. Xiaoguang Gao (2007). Application of Hierarchical Task Network Planning to Uninhabited Combat Aerial Vehicles Planning. Fire Control and Command Control.
  372. Zheng Sophia Tang, Xiaoguang Gao, Ying Zhang (2007). Overview of Research on Assessment Model of Radiant Threat Rank Based on Dynamic Bayesian Network. IEEE International Conference on Automation and Logistics (ICAL).DOI
  373. Jinquan Wang, Xiaoguang Gao, Jianguo Shi, Zhengsheng Li (2007). Double Unmanned Aerial Vehicle's Path Planning for Scout via Cross-Entropy Method. ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD).DOI
  374. Wang Qingjiang, Xiaoguang Gao, DaQing Chen (2007). Pattern Recognition for Ship Based on Bayesian Networks. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).DOI
  375. Xiaoguang Gao (2007). Integrated Decision for Airborne Weapon Systems Based on Bayesian Networks. Jisuanji fangzhen.
  376. Xiaoguang Gao (2007). 3D Flight Path Planning Based on Bayesian Optimization Algorithm. Acta Armamentarii.
  377. Xiaoguang Gao (2007). Identify ships based on Bayes network. Computer Engineering and Applications Journal.
  378. 陈军，高晓光，肖步宇，胡成田（2006）. 预警机指挥多机群空战的协同战术决策. 《火力与指挥控制》.
  379. 肖秦琨，高晓光（2006）. 一种无人机局部路径重规划算法研究. 《飞行力学》.
  380. 唐政，高晓光，郑景嵩（2006）. 用于雷达系统信号处理的有限冲激响应滤波器设计. 《电子技术应用》.
  381. 朱岩，耿修堂，高晓光（2006）. 基于随机Petri网的综合航电系统建模及分析. 《火力与指挥控制》.
  382. 周克强，高晓光，白奕（2006）. 改进的快速扩展随机树在航迹规划中的应用. 《系统工程与电子技术》.
  383. 史建国，高晓光，李相民（2006）. 离散模糊动态贝叶斯网络用于无人作战飞机目标识别. 《西北工业大学学报》.
  384. 肖秦琨，高晓光（2006）. 动态贝叶斯网络的无人机炮火校射. 《火力与指挥控制》.
  385. 郑景嵩，高晓光，赵晓睿（2006）. 复杂背景下机载雷达目标探测的模型分析. 《火力与指挥控制》.
  386. 肖秦琨，高晓光，高嵩，雷斌，张海宁（2006）. 基于动态贝叶斯网络的无人机路径规划研究. 《系统工程与电子技术》.
  387. 汪民乐，高晓光，刘刚（2006）. 遗传算法早熟问题的定量分析及其预防策略. 《系统工程与电子技术》.
  388. 肖秦琨，高晓光（2006）. 进化算法与动态贝叶斯网络混合优化研究. 《模式识别与人工智能》.
  389. 赵晓睿，高晓光，肖步宇，陈军（2006）. C4ISR/M&S互操作HLA仿真设施. 《火力与指挥控制》.
  390. 张建东，高晓光，吴勇，张安，史国庆（2006）. 综合航电显控仿真系统的设计与实现. 《火力与指挥控制》.
  391. 肖秦琨，高晓光，高嵩（2006）. 基于混合动态贝叶斯网络的无人机路径重规划. 《系统仿真学报》.
  392. 柳毅，高晓光，卢广山，王勇（2006）. 基于OWA算子的加权属性信息融合. 《仪器仪表学报》.
  393. 符小卫，高晓光（2006）. 基于贝叶斯优化的无人机路径规划算法. 《宇航学报》.
  394. 王金泉，高晓光，李正生，宋勇，王海舰（2006）. 嵌入式计算机在预警雷达检测中的应用. 《计算机工程与应用》.
  395. Bo Li, Gao Xiao-guang (2006). Bayesian Networks for Intelligent Decision of Airborne Weapon System.DOI
  396. Qinkun Xiao, Xiaoguang Gao, Xiaowei Fu, Haiyun Wang (2006). New Local Path Replanning Algorithm for Unmanned Combat Air Vehicle. World Congress on Intelligent Control and Automation.DOI
  397. Xiaoguang Gao (2006). Study on a Kind of Local Path Replanning Algorithm for UAVs. Flight Dynamics.
  398. Xiaoguang Gao (2006). The Modelling and Analysis of Integrated Avionics System based on Stochastic Petri Net. Fire Control and Command Control.
  399. Xiaoguang Gao (2006). Flight Path Planning Based on Probailistic Modeling Evolutionary Algorithm. Computer Engineering and Applications Journal.
  400. Xiaoguang Gao (2006). Adjust Fire Goal with UAV based on Dynamic Bayesian Network. Fire Control and Command Control.
  401. Xiaoguang Gao (2006). UAV Path Planning Based on Bayesian Optimization Algorithm. Journal of Astronautics.
  402. 史建国，高晓光，李相民（2005）. 连续动态贝叶斯网络实现多传感器融合跟踪. 《火力与指挥控制》.
  403. 柳毅，高晓光，卢广山，王勇（2005）. 基于OWA算子的多传感器属性信息融合. 《探测与控制学报》.
  404. 丁琳，高晓光，王健，王娜（2005）. 针对突发威胁的无人机多机协同路径规划的方法. 《火力与指挥控制》.
  405. 史建国，高晓光，李相民（2005）. “预先”进化遗传算法研究. 《宇航学报》.
  406. 张建东，吴勇，高晓光（2005）. 基于DSPN的综合航电总线系统的性能评价. 《西北工业大学学报》.
  407. 张建东，高晓光，吴勇，朱岩（2005）. GSPN的分析方法及其应用. 《火力与指挥控制》.
  408. 宫颖，高晓光，赵峰（2005）. 预警机雷达在协同空战中的多目标探测. 《火力与指挥控制》.
  409. 吴德伟，高晓光，王永胜（2005）. 无人作战飞机通信延时仿真. 《火力与指挥控制》.
  410. 史延科，高晓光（2005）. 机载摄像机优化调整模型及其应用. 《系统工程与电子技术》.
  411. 史建国，高晓光（2005）. 离散动态贝叶斯网络的直接计算推理算法. 《系统工程与电子技术》.
  412. 史延科，高晓光（2005）. 基于广义多层次模糊模型的无人机路径规划. 《飞行力学》.
  413. Xiaoguang Gao, Xiaowei Fu, Daqing Chen (2005). A genetic-algorithm-based approach to UAV path planning problem.
  414. Xiaoguang Gao (2005). Direct calculation inference algorithm for discrete dynamic bayesian network. Systems engineering and electronics.
  415. Xiaoguang Gao (2005). Airborne camera optimization model and its applications. Systems engineering and electronics.
  416. 杨莉，高晓光，汪小梅（2004）. 有约束多目标模糊指派问题的改进算法. 《西北工业大学学报》.
  417. 柳毅，高晓光，卢广山，顾中国，李相民（2004）. 基于水下探测器信息融合的目标识别. 《传感技术学报》.
  418. 吴德伟，高晓光，陈军（2004）. 战术数据链的建设与发展. 《火力与指挥控制》.
  419. 罗继勋，高晓光，樊养余（2004）. 防空部队自动化控制系统的电子压制(一)数学模型. 《火力与指挥控制》.
  420. 符小卫，高晓光（2004）. 多UCAV协同作战自主任务规划系统. 《火力与指挥控制》.
  421. 罗继勋，高晓光，樊养余，贾安忠（2004）. 对防空部队自动化控制系统的电子压制(二)效能指标. 《火力与指挥控制》.
  422. 曾洪骏，高晓光（2004）. 空空导弹越肩发射/后射的导引方法. 《火力与指挥控制》.
  423. 高晓光，李波（2004）. 空空导弹后射火控技术. 《火力与指挥控制》.
  424. 高晓光，符小卫，宋绍梅（2004）. 多UCAV航迹规划研究. 《系统工程理论与实践》, Vol. 24, No. 5.下载原文
  425. 汪民乐，高晓光，刘光斌（2004）. 基于递阶嵌套GA的空-地武器靶场效能大规模总体优化. 《控制与决策》.DOI
  426. 符小卫，高晓光（2004）. 一种无人机路径规划算法研究. 《系统仿真学报》.
  427. Xiaoguang Gao (2004). Research on Guidance Methods of Over-the-shoulder and Rear-firing. Fire Control and Command Control.
  428. Xiaoguang Gao (2004). Study on a Kind of Path Planning Algorithm for UAV. Acta Simulata Systematica Sinica.
  429. Xiaoguang Gao (2004). A Study on the Multi-UCAVs Cooperative Planning System of Combat for Autonomous Mission. Fire Control and Command Control.
  430. 曹菊红，高晓光（2003）. 多架无人机协同作战智能指挥控制系统. 《火力与指挥控制》.
  431. 杨有龙，高晓光（2003）. 基于BD度量的局部网络结构分析. 《模式识别与人工智能》.
  432. 杨有龙，高晓光（2003）. 紧致遗传算法的进化机制分析. 《控制理论与应用》.
  433. 汪民乐，高晓光，汪德武（2003）. 两种射击方式下航空武器作战效能计算及其比较分析. 《系统工程理论与实践》, Vol. 23, No. 5.下载原文
  434. 史建国，高晓光，李相民（2003）. 飞机编队数传系统对火控传感器的备份算法. 《火力与指挥控制》.
  435. 罗继勋，高晓光，赵晓睿（2003）. 作战飞机效能评估的广义模型. 《西北工业大学学报》.
  436. 杨莉，高晓光，何建华（2003）. 基于多目标决策理论的作战飞机效能综合评估方法研究. 《西北工业大学学报》.
  437. 高晓光，杨有龙（2003）. 基于不同威胁体的无人作战飞机初始路径规划. 《航空学报》.
  438. 赵晓睿，高晓光，陈军（2003）. 机群超视距作战联合战术信息系统的效能分析. 《火力与指挥控制》.
  439. 何建华，高晓光，杨莉，朱岩，张建东（2003）. 网络中心战概念及其空战应用研究. 《火力与指挥控制》.
  440. 杨有龙，高晓光（2003）. 空对地定向攻击的作战效能评估. 《火力与指挥控制》.
  441. 汪民乐，高晓光（2003）. 攻击机靶场效能优化:概念、方法与基本问题. 《火力与指挥控制》.
  442. 柳毅，高晓光，卢广山，陈红林，李相民（2003）. 基于加权证据组合的多传感器目标识别. 《系统工程与电子技术》.
  443. 杨有龙，高晓光（2003）. 匹配于进化种群的局部网络图度量. 《系统工程与电子技术》.
  444. 汪民乐，高晓光（2003）. GA早熟问题的定量分析及其预防策略. 《'2003系统仿真技术及其应用学术交流会》.
  445. 罗继勋，高晓光（2003）. 飞机近距发射空空导弹时安全性评估方法. 《火力与指挥控制》.
  446. 吴德伟，高晓光，徐秋潮（2003）. 基于时间的通信导航兼备系统定位误差分析. 《系统工程与电子技术》.
  447. 张建东，高晓光，吴勇，朱建民，宋巍，陈红林（2002）. 航空电子综合化仿真系统的设计与实现. 《系统工程与电子技术》.
  448. 汪民乐，高晓光（2002）. 基于GA的战术导弹对疏散型集群目标靶场效能优化. 《宇航学报》.
  449. 汪民乐，高晓光（2002）. 攻击机靶场效能模糊型指标体系研究. 《系统工程理论与实践》, Vol. 22, No. 8.下载原文
  450. 汪民乐，高晓光，汪德武（2002）. 攻击机靶场效能随机型指标体系研究. 《系统工程与电子技术》.
  451. 张建东，高晓光，吴勇，赵晓睿，朱建民，宋巍（2002）. 航空电子多总线记录系统的设计与实现. 《火力与指挥控制》.
  452. 蔡付东，高晓光（2002）. 越肩发射次最优火控系统设计. 《火力与指挥控制》.
  453. 罗继勋，高晓光（2000）. 作战飞机效能评估以及武器设计的系统方法研究. 《系统工程理论与实践》.
  454. 罗继勋，高晓光（2000）. 一种新型的目标分配形式及算法. 《火力与指挥控制》.
  455. 罗继勋，高晓光（2000）. 截击机作战起飞规划分析. 《火力与指挥控制》.
  456. 罗继勋，高晓光（2000）. 机群对地攻击分析动力学模型的建立及仿真分析. 《火力与指挥控制》.
  457. 汪民乐，高晓光（2000）. 导弹攻击目标选择的Fuzzy方法. 《西北工业大学学报》.
  458. 高晓光，蔡付东（1999）. 一种新的全向攻击技术——越肩发射火控技术. 《西北工业大学学报》.
  459. 冯璐，高晓光（1999）. 层次分析法在多目标攻击逻辑与决策中的应用. 《西北工业大学学报》.
  460. 汪民乐，高晓光（1999）. 对圆形面目标射击必需发射弹数的优化计算. 《兵工学报》.
  461. 汪民乐，高晓光（1999）. 射击椭圆面目标必需导弹数的蒙特卡洛模拟计算. 《战术导弹技术》.
  462. 汪民乐，高晓光（1999）. 动态规划与遗传算法在导弹武器火力分配中的应用. 《战术导弹技术》.
  463. 汪民乐，高晓光（1999）. 导弹作战系统生存能力新概念. 《系统工程与电子技术》.
  464. 高晓光，蔡付东（1999）. “越肩发射”火控技术研究. 《火力与指挥控制》.
  465. 刘代军，高晓光，李言俊，董秉印（1999）. 中远程空空导弹允许攻击区的快速模拟算法. 《西北工业大学学报》.
  466. 汪民乐，高晓光（1999）. 战略导弹机动阵地部署优化设计. 《系统工程理论与实践》, Vol. 19, No. 10.下载原文
  467. 汪民乐，高晓光（1998）. 战术导弹对机场攻击作战效能的计算机模拟. 《火力与指挥控制》.
  468. 高晓光（1998）. 作战效能分析的基本问题. 《火力与指挥控制》.
  469. 刘代军，高晓光，李言俊，董秉印（1998）. 超视距空-空导弹允许攻击区快速模拟算法. 《战术导弹技术》.
  470. 王红，高晓光，何建华（1997）. 多目标攻击中的飞机操纵. 《西北工业大学学报》.
  471. 陈大庆，高晓光（1997）. 火力控制系统研究的人工神经网络方法. 《火力与指挥控制》.
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  473. 王红，高晓光，张滋烈（1997）. 一种多目标攻击逻辑与决策方法. 《兵工学报》.
  474. 高晓光，胡良宏，李续武（1992）. CCIP火控计算的CAD研究. 《火力与指挥控制》.
  475. 高晓光，张滋烈（1991）. 空空导弹离轴发射火控过程的研究. 《兵工学报》.
  476. 高晓光，徐缤昌，陈新海（1990）. 一种新型的机械手PID鲁棒控制方案. 《西北工业大学学报》.
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书籍章节

  1. Peng Ren, Xiaoguang Gao, Jun Chen (2015). Human Intervention Intelligent Flight Path Planning on Unexpected Threats. Lecture notes in electrical engineering.DOI
  2. Xingguang Peng, Shengxiang Yang, Demin Xu, Xiaoguang Gao (2013). Evolutionary Algorithms for the Multiple Unmanned Aerial Combat Vehicles Anti-ground Attack Problem in Dynamic Environments. Studies in computational intelligence.DOI
  3. Haiyang Chen, Xiaoguang Gao, Xu Jian (2011). A Fast Direct Calculation Inference Algorithm. Advances in intelligent and soft computing.DOI

研究方向

武器工业与军事技术自动化技术计算机软件及计算机应用

此主页由公开资料整理，尚未经学者本人认领。