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ORCIDXu Li 0013
Person information
- affiliation: Northeastern University, State Key Laboratory of Rolling and Automation, Shenyang, China
Other persons with the same name
- Xu Li — disambiguation page
- Xu Li 0001 — Huawei Technologies Canada (and 4 more)
- Xu Li 0002
![[0000-0002-5232-5734]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5232-5734")
— Lanzhou University of Technology, Department of Applied Mathematics, China - Xu Li 0003 — Johns Hopkins School of Medicine, Baltimore, MD, USA (and 1 more)
- Xu Li 0004 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Xu Li 0005 — Huazhong University of Science and Technology, Department of Bio-medical Engineering, Wuhan, China
- Xu Li 0006 — Tianjin University, School of Computer Science and Technology, China
- Xu Li 0007 — Beijing Jiaotong University, School of Electronics and Information Engineering, China (and 1 more)
- Xu Li 0008 — Dalian University of Technology, School of Aeronautics and Astronautics, China
- Xu Li 0009 — State University of New York at Buffalo, Department of Computer Science and Engineering, USA (and 1 more)
- Xu Li 0010 — Northwestern Polytechnical University, School of Electronics and Information, Xian, China
- Xu Li 0011 — Northwestern University, Department of Biomedical Engineering, Evanston, IL, USA (and 1 more)
- Xu Li 0012 — Shanghai Jiao Tong University, Department of Computer Science and Engineering, China
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2020 – today
- 2022
[j14]Xu Li, Yaodong He, Jingguo Ding, Feng Luan, Dianhua Zhang:
Predicting hot-strip finish rolling thickness using stochastic configuration networks. Inf. Sci. 611: 677-689 (2022)- [j13]Xianghua Tian, Feng Luan, Xu Li, Yan Wu, Nan Chen:
Interval prediction of bending force in the hot strip rolling process based on neural network and whale optimization algorithm. J. Intell. Fuzzy Syst. 43(6): 7297-7315 (2022) - [j12]Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li:
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning. IEEE Trans. Neural Networks Learn. Syst. 33(10): 5480-5491 (2022) - 2021
- [j11]Yan Wu, Xu Li, Feng Luan, Yaodong He:
A Novel GPR-Based Prediction Model for Strip Crown in Hot Rolling by Using the Improved Local Outlier Factor. IEEE Access 9: 458-469 (2021) - [j10]Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li:
Federated learning for machinery fault diagnosis with dynamic validation and self-supervision. Knowl. Based Syst. 213: 106679 (2021) - [j9]Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li:
Transfer learning using deep representation regularization in remaining useful life prediction across operating conditions. Reliab. Eng. Syst. Saf. 211: 107556 (2021) - [j8]Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li:
Open-Set Domain Adaptation in Machinery Fault Diagnostics Using Instance-Level Weighted Adversarial Learning. IEEE Trans. Ind. Informatics 17(11): 7445-7455 (2021) - [j7]Wei Zhang, Xiang Li, Hui Ma, Zhong Luo, Xu Li:
Universal Domain Adaptation in Fault Diagnostics With Hybrid Weighted Deep Adversarial Learning. IEEE Trans. Ind. Informatics 17(12): 7957-7967 (2021) - 2020
- [j6]Xiang Li, Xiao-Dong Jia, Wei Zhang, Hui Ma, Zhong Luo, Xu Li:
Intelligent cross-machine fault diagnosis approach with deep auto-encoder and domain adaptation. Neurocomputing 383: 235-247 (2020) - [j5]Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li:
Domain generalization in rotating machinery fault diagnostics using deep neural networks. Neurocomputing 403: 409-420 (2020) - [j4]Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li:
Data alignments in machinery remaining useful life prediction using deep adversarial neural networks. Knowl. Based Syst. 197: 105843 (2020) - [j3]Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li:
Partial transfer learning in machinery cross-domain fault diagnostics using class-weighted adversarial networks. Neural Networks 129: 313-322 (2020) - [j2]Yunqi Gao, Feng Luan, Jiaqi Pan, Xu Li, Yaodong He:
FPGA-Based Implementation of Stochastic Configuration Networks for Regression Prediction. Sensors 20(15): 4191 (2020) - [j1]Xiang Li, Wei Zhang, Qian Ding, Xu Li:
Diagnosing Rotating Machines With Weakly Supervised Data Using Deep Transfer Learning. IEEE Trans. Ind. Informatics 16(3): 1688-1697 (2020)
Coauthor Index
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