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Xiaoguang Gao
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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
The Improved Ordering-Based Search Method Incorporating with Ensemble Learning. Cogn. Comput. 16(3): 852-876 (2024) - [j39]Chenfeng Wang
Finding community structure in Bayesian networks by heuristic K-standard deviation method. Future Gener. Comput. Syst. 158: 556-568 (2024) - [j38]Zidong Wang
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
Bayesian network parameter learning using constraint-based data extension method. Appl. Intell. 53(9): 9958-9977 (2023) - [j36]Xiaohan Liu
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
Bayesian network parameter learning using fuzzy constraints. Neurocomputing 544: 126239 (2023) - [j33]Xiaohan Liu
A metaheuristic causal discovery method in directed acyclic graphs space. Knowl. Based Syst. 276: 110749 (2023) - [j32]Qianglong Wang
A precise method for RBMs training using phased curricula. Multim. Tools Appl. 82(6): 8013-8047 (2023) - [j31]Zijian Hu
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
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
Generative and discriminative infinite restricted Boltzmann machine training. Int. J. Intell. Syst. 37(10): 7857-7887 (2022) - [j28]Xiangyuan Tan, Xiaoguang Gao
Learning the structure of Bayesian networks with ancestral and/or heuristic partition. Inf. Sci. 584: 719-751 (2022) - [j27]Xinxin Ru, Xiaoguang Gao
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
A Novel Restricted Boltzmann Machine Training Algorithm With Dynamic Tempering Chains. IEEE Access 9: 21939-21950 (2021) - [j24]Jun Chen
The Dynamic Extensions of Fuzzy Grey Cognitive Maps. IEEE Access 9: 98665-98678 (2021) - [j23]Xiaohan Liu
Improved Local Search with Momentum for Bayesian Networks Structure Learning. Entropy 23(6): 750 (2021) - [j22]Kaifang Wan
An Improved Approach towards Multi-Agent Pursuit-Evasion Game Decision-Making Using Deep Reinforcement Learning. Entropy 23(11): 1433 (2021) - [j21]Xiangyuan Tan
Bidirectional heuristic search to find the optimal Bayesian network structure. Neurocomputing 426: 35-46 (2021) - [j20]Zidong Wang
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
Learning Bayesian networks based on order graph with ancestral constraints. Knowl. Based Syst. 211: 106515 (2021) - [j17]Zidong Wang
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
Robust Motion Control for UAV in Dynamic Uncertain Environments Using Deep Reinforcement Learning. Remote. Sens. 12(4): 640 (2020) - [j15]Zijian Hu
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
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
Swarm UAVs Task and Resource Dynamic Assignment Algorithm Based on Task Sequence Mechanism. IEEE Access 7: 41090-41100 (2019) - [j11]Xiao-Guang Gao
Learning Bayesian network parameters via minimax algorithm. Int. J. Approx. Reason. 108: 62-75 (2019) - [j10]Yu Yang, Xiao-Guang Gao
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
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
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
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
Approximate inference for dynamic Bayesian networks: sliding window approach. Appl. Intell. 40(4): 575-591 (2014) - [j3]Xiaowei Fu
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
UAV Mobile Ground Target Pursuit Algorithm. J. Intell. Robotic Syst. 68(3-4): 359-371 (2012) - 2011
- [j1]Xingguang Peng
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
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 2024-10-12 22:54 CEST by the dblp team
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