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Fei Chu
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2020 – today
- 2024
- [j21]Fei Chu, Jianwen Wang, Yiwan Cao, Shuai Li:
Efficient and effective ensemble broad learning system based on structural diversity. Appl. Soft Comput. 167: 112412 (2024) - [j20]Shu-Hao Wang, Yan Zhao, Chun-Chun Wang, Fei Chu, Lian-Ying Miao, Li Zhang, Linlin Zhuo, Xing Chen:
RFEM: A framework for essential microRNA identification in mice based on rotation forest and multiple feature fusion. Comput. Biol. Medicine 171: 108177 (2024) - [j19]Fei Chu, Shuangshuang Mo, Lili Hao, Ningyun Lu, Fuli Wang:
Operating Performance Assessment of Complex Nonlinear Industrial Process Based on Kernel Locally Linear Embedding PLS. IEEE Trans Autom. Sci. Eng. 21(1): 593-605 (2024) - [j18]Fei Chu, Tao Liang, C. L. Philip Chen, Xuesong Wang, Xiaoping Ma:
Compact Broad Learning System Based on Fused Lasso and Smooth Lasso. IEEE Trans. Cybern. 54(1): 435-448 (2024) - 2023
- [j17]Fei Chu, Guanghui Wang, Jun Wang, C. L. Philip Chen, Xuesong Wang:
Learning broad learning system with controllable sparsity through L0 regularization. Appl. Soft Comput. 136: 110068 (2023) - [j16]Fei Chu, Shuangshuang Liao, Lili Hao, Pei Wang, Yan Liu, Fuli Wang:
Operating performance assessment method for industrial process with slowness principle-based LSTM network. Eng. Appl. Artif. Intell. 123(Part A): 106208 (2023) - [j15]Fei Chu, Tao Liang, C. L. Philip Chen, Xiaoping Ma, Xuesong Wang:
Broad Minimax Probability Learning System and its Application in Regression Modeling. IEEE Trans. Syst. Man Cybern. Syst. 53(3): 1945-1957 (2023) - [c5]Fulin Tian, Jiayang Wang, Fei Chu, Lin Zhou:
Multi-strategy Improved Multi-objective Harris Hawk Optimization Algorithm with Elite Opposition-based Learning. CACML 2023: 148-153 - [c4]Fei Chu, Jiayang Wang, Fulin Tian:
A hybrid Aquila Optimizer sine cosine Algorithm for Numerical Optimization. CACML 2023: 258-263 - 2022
- [j14]Shulei Zhang, Runda Jia, Dakuo He, Fei Chu, Zhizhong Mao:
A general data-driven nonlinear robust optimization framework based on statistic limit and principal component analysis. Comput. Chem. Eng. 160: 107707 (2022) - [j13]Cece Huang, Weixin Gai, Yuanfu Zhao, Yafei Ji, Fei Chu, Tieliang Zhang:
A Residue Amplifier with 85 dB DC Gain and 15 GHz Closed-Loop Bandwidth for 14-Bit 3GSPS Pipeline ADC. Circuits Syst. Signal Process. 41(12): 6694-6708 (2022) - [j12]Fei Chu, Caiyan Jia:
Self-supervised global context graph neural network for session-based recommendation. PeerJ Comput. Sci. 8: e1055 (2022) - [j11]Kun Yu, Fei Chu, Xuesong Wang, Yuhu Cheng:
Frequency-Domain Energy-Concentrated Synchrosqueezing Transform for Frequency-Varying Signal With Linear Group Delay. IEEE Trans. Instrum. Meas. 71: 1-15 (2022) - [c3]Lili Hao, Fei Chu, Shuangshuang Liao, Yang Xu, Fuli Wang, Xiaoping Ma:
Graph auto encoder-based operation performance assessment method and its application for complex industrial process. ASCC 2022: 48-52 - [c2]Xiaoyu Zou, Liang Hu, Fuli Wang, Yuqing Chang, Jie Pan, Fei Chu:
Operating performance assessment of between-mode transitions for multi-mode plant-wide process. ASCC 2022: 53-58 - 2021
- [j10]Fei Chu, Xiang Cheng, Chuang Peng, Runda Jia, Tao Chen, Qinglai Wei:
A process transfer model-based optimal compensation control strategy for batch process using just-in-time learning and trust region method. J. Frankl. Inst. 358(1): 606-632 (2021) - 2020
- [j9]Fei Chu, Bangwu Dai, Xiaoping Ma, Fuli Wang, Bin Ye:
A Minimum-Cost Modeling Method for Nonlinear Industrial Process Based on Multimodel Migration and Bayesian Model Averaging Method. IEEE Trans Autom. Sci. Eng. 17(2): 947-956 (2020) - [j8]Fei Chu, Tao Liang, C. L. Philip Chen, Xuesong Wang, Xiaoping Ma:
Weighted Broad Learning System and Its Application in Nonlinear Industrial Process Modeling. IEEE Trans. Neural Networks Learn. Syst. 31(8): 3017-3031 (2020)
2010 – 2019
- 2019
- [j7]Shuning Zhang, Fei Chu, Guanlong Deng, Fuli Wang:
Soft Sensor Model Development for Cobalt Oxalate Synthesis Process Based on Adaptive Gaussian Mixture Regression. IEEE Access 7: 118749-118763 (2019) - 2017
- [j6]Wei Dai, Qixin Chen, Fei Chu, Xiaoping Ma, Tianyou Chai:
Robust Regularized Random Vector Functional Link Network and Its Industrial Application. IEEE Access 5: 16162-16172 (2017) - [j5]Fei Chu, Bangwu Dai, Wei Dai, Runda Jia, Xiaoping Ma, Fuli Wang:
Rapid Modeling Method for Performance Prediction of Centrifugal Compressor Based on Model Migration and SVM. IEEE Access 5: 21488-21496 (2017) - [j4]Wei Dai, Gang Huang, Fei Chu, Tianyou Chai:
Configurable Platform for Optimal-Setting Control of Grinding Processes. IEEE Access 5: 26722-26733 (2017) - [c1]Wei Dai, Fei Chu, Chunyu Yang, Ying Chen, Tianyou Chai:
Software platform for optimal setting control of complex industrial processes. ACC 2017: 4809-4814 - 2016
- [j3]Yanli Liu, Ben Niu, Fei Chu, Yanyan Liu:
Adaptive Fuzzy Output-Feedback Tracking Control for a Class of Switched Stochastic Nonlinear Time-Delay Systems. Circuits Syst. Signal Process. 35(8): 2762-2788 (2016) - 2014
- [j2]Fei Chu, Fuli Wang, Xiaogang Wang, Shuning Zhang:
A hybrid artificial neural network - mechanistic model for centrifugal compressor. Neural Comput. Appl. 24(6): 1259-1268 (2014) - 2013
- [j1]Shuning Zhang, Fuli Wang, Dakuo He, Fei Chu:
Soft sensor for cobalt oxalate synthesis process in cobalt hydrometallurgy based on hybrid model. Neural Comput. Appl. 23(5): 1465-1472 (2013)
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