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Xiaojing Yin
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2020 – today
- 2023
- [j14]Xiaojing Yin
, Jiwei Huang
An reinforcement learning approach for allocating software resources. Concurr. Comput. Pract. Exp. 35(14) (2023) - [j13]Yubo Shao, Bangcheng Zhang, Xiaojing Yin, Zhi Gao, Jing Li:
An improved BRB-based anomaly detection method of drive end bearings. J. Intell. Fuzzy Syst. 44(6): 9241-9255 (2023) - [c8]Qiangqiang He, Xiaojing Yin, Hao Zhang, Zi Ran Qin, Zhi Gao:
A Fault Diagnosis Model Based on Hierarchical Belief Rule Base for Complex Mechatronics System. SAFEPROCESS 2023: 1-6 - [c7]Bangcheng Zhang, Shiqi Sun, Xiaojing Yin, WeiDong He, Zhi Gao, Yao Rong:
Bearing Fault Diagnosis Based on Wavelet Transform and Convolution Neural Network. SAFEPROCESS 2023: 1-5 - 2022
- [j12]Xiaojing Yin, Guangxu Shi, Shouxin Peng, Yu Zhang, Bangcheng Zhang, Wei Su:
Health State Prediction of Aero-Engine Gas Path System Considering Multiple Working Conditions Based on Time Domain Analysis and Belief Rule Base. Symmetry 14(1): 26 (2022) - [c6]Xiaojing Yin, Qiangqiang He, Shouxin Peng, Yu Zhang, Bangcheng Zhang:
A Fault Diagnosis Method Based on EMD-SVM with Multi-Feature Fusion via Sound Signals. RCAR 2022: 540-544 - 2021
- [j11]Xiaojing Yin, Jiwei Huang, Wei He, Wei Guo, Han Yu
Group task allocation approach for heterogeneous software crowdsourcing tasks. Peer-to-Peer Netw. Appl. 14(3): 1736-1747 (2021) - 2020
- [j10]Chao Cheng, Xinyu Qiao, Wanxiu Teng, Mingliang Gao, Bangcheng Zhang, Xiaojing Yin, Hao Luo
Principal component analysis and belief-rule-base aided health monitoring method for running gears of high-speed train. Sci. China Inf. Sci. 63(9): 1-3 (2020) - [c5]Xiaojing Yin, Jiwei Huang, Lei Liu, Wei He, Lizhen Cui:
An Iterative Feedback Mechanism for Auto-Optimizing Software Resource Allocation in Multi-Tier Web Systems. CCGRID 2020: 802-809
2010 – 2019
- 2019
- [j9]Chao Cheng, Jiuhe Wang
Health Status Prediction Based on Belief Rule Base for High-Speed Train Running Gear System. IEEE Access 7: 4145-4159 (2019) - [j8]Chao Cheng, Xinyu Qiao, Hao Luo
A Semi-Quantitative Information Based Fault Diagnosis Method for the Running Gears System of High-Speed Trains. IEEE Access 7: 38168-38178 (2019) - [c4]Chao Cheng, Xinyu Qiao, Caixin Fu, Weijun Wang, Xiaojing Yin:
Fault Prediction of High-speed Train Running Gears Based On Hidden Markov Model and Analytic Hierarchy Process. CAA SAFEPROCESS 2019: 133-136 - [c3]Xiaojing Yin, Guangxu Shi, Bangcheng Zhang, Shiyuan Lv, Yubo Shao:
Fault Prediction of Brightness Sensor based on BRB in Rail Vehicle Compartment LED Lighting System. CAA SAFEPROCESS 2019: 309-314 - 2018
- [j7]Zhichao Feng
Fault Diagnosis Based on Belief Rule Base With Considering Attribute Correlation. IEEE Access 6: 2055-2067 (2018) - [j6]Hang Wei
A New BRB Model for Cloud Security-State Prediction Based on the Large-Scale Monitoring Data. IEEE Access 6: 11907-11920 (2018) - [j5]Xiao-Jing Yin, Bangcheng Zhang, Zhi-Jie Zhou
A new health estimation model for CNC machine tool based on infinite irrelevance and belief rule base. Microelectron. Reliab. 84: 187-196 (2018) - 2017
- [j4]Xiao-Jing Yin
A Double Layer BRB Model for Health Prognostics in Complex Electromechanical System. IEEE Access 5: 23833-23847 (2017) - 2016
- [j3]Guan-Yu Hu, Zhi-Jie Zhou, Bangcheng Zhang, Xiao-Jing Yin, Zhi Gao, Zhiguo Zhou:
A method for predicting the network security situation based on hidden BRB model and revised CMA-ES algorithm. Appl. Soft Comput. 48: 404-418 (2016) - 2013
- [j2]Bangcheng Zhang, Xiaoxia Han, Zhi-Jie Zhou, Lin Zhang, Xiao-Jing Yin, Yu-Wang Chen
Construction of a new BRB based model for time series forecasting. Appl. Soft Comput. 13(12): 4548-4556 (2013) - [j1]Tian Huang
Extending Amdahl's law and Gustafson's law by evaluating interconnections on multi-core processors. J. Supercomput. 66(1): 305-319 (2013) - 2011
- [c2]Xiaojing Yin, Yongxin Zhu, Liang Xia, Jingwei Ye, Tian Huang
Efficient Implementation of Thermal-Aware Scheduler on a Quad-core Processor. TrustCom 2011: 1076-1082 - 2010
- [c1]Zhe Zheng, Yongxin Zhu, Xu Wang, Zhiqiang Que, Tian Huang
Revealing Feasibility of FMM on ASIC: Efficient Implementation of N-Body Problem on FPGA. CSE 2010: 132-139
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