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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j41]Xinyu Li, Xiaoguang Gao
, Qianglong Wang, Chenfeng Wang, Bo Li, Kaifang Wan:
Feature Analysis Network: An Interpretable Idea in Deep Learning. Cogn. Comput. 16(3): 803-826 (2024)- [j40]Hao Wang, Zidong Wang, Ruiguo Zhong, Xiaohan Liu, Xiaoguang Gao:
The Improved Ordering-Based Search Method Incorporating with Ensemble Learning. Cogn. Comput. 16(3): 852-876 (2024) - [j39]Chenfeng Wang, Xiaoguang Gao, Xinyu Li, Bo Li, Kaifang Wan:
Finding community structure in Bayesian networks by heuristic K-standard deviation method. Future Gener. Comput. Syst. 158: 556-568 (2024) - [j38]Zidong Wang, Xiaoguang Gao, Xiaohan Liu, Xinxin Ru, Qingfu Zhang:
Incorporating structural constraints into continuous optimization for causal discovery. Neurocomputing 595: 127902 (2024) - [i3]Xudong Gao, Xiaoguang Gao, Jia Rong, Ni Li, Yifeng Niu, Jun Chen:
On the Convergence of Sigmoid and tanh Fuzzy General Grey Cognitive Maps. CoRR abs/2409.05565 (2024) - 2023
- [j37]Xinxin Ru, Xiaoguang Gao, Yangyang Wang, Xiaohan Liu:
Bayesian network parameter learning using constraint-based data extension method. Appl. Intell. 53(9): 9958-9977 (2023) - [j36]Xiaohan Liu, Xiaoguang Gao, Xinxin Ru, Xiangyuan Tan, Zidong Wang:
Improving greedy local search methods by switching the search space. Appl. Intell. 53(19): 22143-22160 (2023) - [j35]Yangyang Wang, Xiaoguang Gao, Xinxin Ru, Pengzhan Sun, Jihan Wang:
The Weight-Based Feature Selection (WBFS) Algorithm Classifies Lung Cancer Subtypes Using Proteomic Data. Entropy 25(7): 1003 (2023) - [j34]Xinxin Ru, Xiaoguang Gao, Zidong Wang, Yangyang Wang, Xiaohan Liu:
Bayesian network parameter learning using fuzzy constraints. Neurocomputing 544: 126239 (2023) - [j33]Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru, Qingfu Zhang:
A metaheuristic causal discovery method in directed acyclic graphs space. Knowl. Based Syst. 276: 110749 (2023) - [j32]Qianglong Wang, Xiaoguang Gao, Xinyu Li, Zijian Hu, Kaifang Wan:
A precise method for RBMs training using phased curricula. Multim. Tools Appl. 82(6): 8013-8047 (2023) - [j31]Zijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai:
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments. IEEE Trans. Veh. Technol. 72(11): 13985-14001 (2023) - [i2]Xudong Gao, Xiaoguang Gao, Jia Rong, Xiaowei Chen, Xiang Liao, Jun Chen:
HB-net: Holistic bursting cell cluster integrated network for occluded multi-objects recognition. CoRR abs/2310.11834 (2023) - 2022
- [j30]Kaifang Wan, Dingwei Wu, Bo Li, Xiaoguang Gao, Zijian Hu, Daqing Chen:
ME-MADDPG: An efficient learning-based motion planning method for multiple agents in complex environments. Int. J. Intell. Syst. 37(3): 2393-2427 (2022) - [j29]Qianglong Wang, Xiaoguang Gao, Kaifang Wan, Zijian Hu:
Generative and discriminative infinite restricted Boltzmann machine training. Int. J. Intell. Syst. 37(10): 7857-7887 (2022) - [j28]Xiangyuan Tan, Xiaoguang Gao, Zidong Wang, Hao Han, Xiaohan Liu, Da-Qing Chen:
Learning the structure of Bayesian networks with ancestral and/or heuristic partition. Inf. Sci. 584: 719-751 (2022) - [j27]Xinxin Ru, Xiaoguang Gao, Yangyang Wang, Xiaohan Liu:
Learning Bayesian network parameters with soft-hard constraints. Neural Comput. Appl. 34(20): 18195-18209 (2022) - [j26]Yangyang Wang, Xiaoguang Gao, Xinxin Ru, Pengzhan Sun, Jihan Wang:
A hybrid feature selection algorithm and its application in bioinformatics. PeerJ Comput. Sci. 8: e933 (2022) - [i1]Zijian Hu, Xiaoguang Gao, Kaifang Wan, Qianglong Wang, Yiwei Zhai:
Asynchronous Curriculum Experience Replay: A Deep Reinforcement Learning Approach for UAV Autonomous Motion Control in Unknown Dynamic Environments. CoRR abs/2207.01251 (2022) - 2021
- [j25]Xinyu Li, Xiaoguang Gao, Chenfeng Wang:
A Novel Restricted Boltzmann Machine Training Algorithm With Dynamic Tempering Chains. IEEE Access 9: 21939-21950 (2021) - [j24]Jun Chen, Xudong Gao, Jia Rong, Xiaoguang Gao:
The Dynamic Extensions of Fuzzy Grey Cognitive Maps. IEEE Access 9: 98665-98678 (2021) - [j23]Xiaohan Liu, Xiaoguang Gao, Zidong Wang, Xinxin Ru:
Improved Local Search with Momentum for Bayesian Networks Structure Learning. Entropy 23(6): 750 (2021) - [j22]Kaifang Wan, Dingwei Wu, Yiwei Zhai, Bo Li, Xiaoguang Gao, Zijian Hu:
An Improved Approach towards Multi-Agent Pursuit-Evasion Game Decision-Making Using Deep Reinforcement Learning. Entropy 23(11): 1433 (2021) - [j21]Xiangyuan Tan, Xiaoguang Gao, Zidong Wang, Chuchao He:
Bidirectional heuristic search to find the optimal Bayesian network structure. Neurocomputing 426: 35-46 (2021) - [j20]Zidong Wang, Xiaoguang Gao, Xiangyuan Tan, Xiaohan Liu:
Learning Bayesian networks using A* search with ancestral constraints. Neurocomputing 451: 107-124 (2021) - [j19]Xiaoguang Gao:
Urban green economic development indicators based on spatial clustering algorithm and blockchain. J. Intell. Fuzzy Syst. 40(4): 7049-7060 (2021) - [j18]Zidong Wang, Xiaoguang Gao, Yu Yang, Xiangyuan Tan, Daqing Chen:
Learning Bayesian networks based on order graph with ancestral constraints. Knowl. Based Syst. 211: 106515 (2021) - [j17]Zidong Wang, Xiaoguang Gao, Xiangyuan Tan, Xiaohan Liu:
Determining the direction of the local search in topological ordering space for Bayesian network structure learning. Knowl. Based Syst. 234: 107566 (2021) - 2020
- [j16]Kaifang Wan, Xiaoguang Gao, Zijian Hu, Gaofeng Wu:
Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning. Remote. Sens. 12(4): 640 (2020) - [j15]Zijian Hu, Kaifang Wan, Xiaoguang Gao, Yiwei Zhai, Qianglong Wang:
Deep Reinforcement Learning Approach with Multiple Experience Pools for UAV's Autonomous Motion Planning in Complex Unknown Environments. Sensors 20(7): 1890 (2020) - [j14]Gaofeng Wu, Xiaoguang Gao, Kaifang Wan:
Mobility Control of Unmanned Aerial Vehicle as Communication Relay to Optimize Ground-to-Air Uplinks. Sensors 20(8): 2332 (2020) - [j13]Xinyu Li, Xiaoguang Gao, Chenfeng Wang:
A Novel BN Learning Algorithm Based on Block Learning Strategy. Sensors 20(21): 6357 (2020) - [c19]Zihao Chen, Xiaowei Fu, Xiaoguang Gao:
Formation and Conical Obstacle Avoidance Control of UAS Based on Two-hop Network. ECC 2020: 1967-1972
2010 – 2019
- 2019
- [j12]Xiaowei Fu, Peng Feng, Xiaoguang Gao:
Swarm UAVs Task and Resource Dynamic Assignment Algorithm Based on Task Sequence Mechanism. IEEE Access 7: 41090-41100 (2019) - [j11]Xiao-Guang Gao, Zhi-gao Guo, Hao Ren, Yu Yang, Da-Qing Chen, Chu-Chao He:
Learning Bayesian network parameters via minimax algorithm. Int. J. Approx. Reason. 108: 62-75 (2019) - [j10]Yu Yang, Xiao-Guang Gao, Zhi-gao Guo, Da-Qing Chen:
Learning Bayesian networks using the constrained maximum a posteriori probability method. Pattern Recognit. 91: 123-134 (2019) - [c18]Xiaowei Fu, Jing Pan, Haixiang Wang, Xiaoguang Gao:
A Formation Maintenance and Reconstruction Method of UAV Swarm based on Distributed Control with Obstacle Avoidance. ANZCC 2019: 205-209 - [c17]Xiaowei Fu, Haixiang Wang, Jing Pan, Xiaoguang Gao:
A Distributed Formation Control Method of Swarm UAVs Based on Artificial Potential Field and Consensus Strategy. ANZCC 2019: 210-214 - 2018
- [j9]Zhong Liu, Xiaoguang Gao, Xiaowei Fu:
A Cooperative Search and Coverage Algorithm with Controllable Revisit and Connectivity Maintenance for Multiple Unmanned Aerial Vehicles. Sensors 18(5): 1472 (2018) - [j8]Xiaowei Fu, Hui Wang, Bin Li, Xiaoguang Gao:
An Efficient Sampling-Based Algorithms Using Active Learning and Manifold Learning for Multiple Unmanned Aerial Vehicle Task Allocation under Uncertainty. Sensors 18(8): 2645 (2018) - [c16]Hui Cao, Xiaoguang Gao:
Self-Adapted and Filtered Qualitative Maximum a Posterior Algorithm for Small Data Sets. HPCC/SmartCity/DSS 2018: 1585-1591 - [c15]Xiaowei Fu, Jing Pan, Xiaoguang Gao, Bin Li, Jun Chen, Kun Zhang:
Task Allocation Method for Multi-UAV Teams with Limited Communication Bandwidth. ICARCV 2018: 1874-1878 - [c14]Chu-Chao He, Xiao-Guang Gao, Zhi-gao Guo:
Structure Learning of Bayesian Networks by Finding the Optimal Ordering. ICPR 2018: 177-182 - 2017
- [j7]Zhi-gao Guo, Xiao-Guang Gao, Hao Ren, Yu Yang, Ruo-hai Di, Da-Qing Chen:
Learning Bayesian network parameters from small data sets: A further constrained qualitatively maximum a posteriori method. Int. J. Approx. Reason. 91: 22-35 (2017) - [j6]Wen-Shuai Jiang, Wei Xin, Shao-Nan Chen, Cun-Bo Li, Xiao-Guang Gao, Leiting Pan, Zhibo Liu, Jianguo Tian:
Microshell Arrays Enhanced Sensitivity in Detection of Specific Antibody for Reduced Graphene Oxide Optical Sensor. Sensors 17(2): 221 (2017) - [c13]Zhigao Guo, Xiaoguang Gao, Ruohai Di:
Learning Bayesian Network Parameters with Domain Knowledge and Insufficient Data. AMBN 2017: 93-104 - 2016
- [j5]Ning Li, Xiaoguang Gao, Xia Hou, Wei Zhang, Yingai Tian:
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 43(3): 231-237 (2016) - [c12]Xiaowei Fu, Xiaoguang Gao:
Network building and communication strategy designing for multi-UAVs cooperative search. ICARCV 2016: 1-5 - [c11]Xiao-Guang Gao, Yu Yang, Zhi-gao Guo, Da-Qing Chen:
Bayesian approach to learn Bayesian networks using data and constraints. ICPR 2016: 3667-3672 - 2015
- [c10]Zhi-gao Guo, Xiao-Guang Gao, Ruo-hai Di, Yu Yang:
Learning Bayesian Network Parameters from Small Data Set: A Spatially Maximum a Posteriori Method. AMBN@JSAI-isAI 2015: 32-45 - 2014
- [j4]Xiao-Guang Gao, Jun-Feng Mei, Haiyang Chen, Da-Qing Chen:
Approximate inference for dynamic Bayesian networks: sliding window approach. Appl. Intell. 40(4): 575-591 (2014) - [j3]Xiaowei Fu, Xiaoguang Gao:
Effective Real-Time Unmanned Air Vehicle Path Planning in Presence of Threat Netting. J. Aerosp. Inf. Syst. 11(4): 170-177 (2014) - [c9]Guoliang Li, Xiaoguang Gao, Ruohai Di:
DBN structure learning based on MI-BPSO algorithm. ICIS 2014: 245-250 - 2012
- [j2]Xiaowei Fu, Huicheng Feng, Xiaoguang Gao:
UAV Mobile Ground Target Pursuit Algorithm. J. Intell. Robotic Syst. 68(3-4): 359-371 (2012) - 2011
- [j1]Xingguang Peng, Xiaoguang Gao, Shengxiang Yang:
Environment identification-based memory scheme for estimation of distribution algorithms in dynamic environments. Soft Comput. 15(2): 311-326 (2011) - 2010
- [c8]Wang Jun, Xiao-guang Gao, Yong-wen Zhu, Hong Wang:
A solving algorithm for Target Assignment optimization model based on ACO. ICNC 2010: 3753-3757
2000 – 2009
- 2009
- [c7]Haiyang Chen, Xiaoguang Gao:
Ship Recognition Based on Improved Forwards-Backwards Algorithm. FSKD (5) 2009: 509-513 - [c6]Haiyang Chen, Xiaoguang Gao, Jingsong Zheng:
A Kind of Data Repairing for Missing Data of Discrete Dynamic Bayesian Networks. ICNC (6) 2009: 47-51 - 2008
- [c5]Xingguang Peng, Xiaoguang Gao:
A Multi-objective Optimal Approach for UAV Routing in Reconnaissance Mission with Stochastic Observation Time. ISMIS 2008: 246-255 - 2007
- [c4]QingJiang Wang, Xiaoguang Gao, Da-Qing Chen:
Pattern Recognition for Ship Based on Bayesian Networks. FSKD (4) 2007: 684-688 - [c3]Jinquan Wang, Xiaoguang Gao, Jianguo Shi, Zhengsheng Li:
Double Unmanned Air Vehicle's Path Planning for Scout via Cross-Entropy Method. SNPD (2) 2007: 632-635 - 2006
- [c2]Bo Li, Xiaoguang Gao:
Bayesian Networks for Intelligent Decision of Airborne Weapon System. ICICIC (3) 2006: 390-393 - [c1]Liang Liang, Jianping Li, Jian Jia, Xiaoguang Gao:
A New Approach to Biomimetic Robots for Odor Source Localization. ROBIO 2006: 840-845
Coauthor Index
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last updated on 2024-10-13 17:57 CEST by the dblp team
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