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2020 – today
- 2024
[c5]Baoyu Zhu, Shaojun Ren, Zihan Wei, Fengqi Si:
Transfer learning-based multi-fidelity modeling method for multimode process monitoring. DTPI 2024: 465-470- [c4]Yijia Zhang, Shaojun Ren, Baoyu Zhu, Qingyang Li, Fengqi Si:
A hybrid modeling approach integrating first-principles with data for nonlinear process monitoring. DTPI 2024: 477-481 - 2023
- [j4]Shaojun Ren
, Yinfeng Jin, Jialu Zhao, Yue Cao, Fengqi Si:
Nonlinear process monitoring based on generic reconstruction-based auto-associative neural network. J. Frankl. Inst. 360(7): 5149-5170 (2023) - 2022
- [j3]Wei Fan, Qinqin Zhu, Shaojun Ren, Liang Zhang, Fengqi Si:
Dynamic Probabilistic Predictable Feature Analysis for Multivariate Temporal Process Monitoring. IEEE Trans. Control. Syst. Technol. 30(6): 2573-2584 (2022) - [c3]Shaojun Ren, Chongyang Shi:
A News Recommendation Model Based on Time Awareness and News Relevance. IRI 2022: 35-40 - [c2]Shuxin Zhao, Chongyang Shi, Shaojun Ren, Hufsa Mohsin:
Correlation Feature Mining Model Based on Dual Attention for Feature Envy Detection. SEKE 2022: 634-639 - 2021
- [j2]Wei Fan, Shaojun Ren, Qinqin Zhu, Zhijun Jia, Delong Bai, Fengqi Si:
A Novel Multi-Mode Bayesian Method for the Process Monitoring and Fault Diagnosis of Coal Mills. IEEE Access 9: 22914-22926 (2021) - [c1]Shaojun Ren, Chongyang Shi, Shuxin Zhao:
Exploiting Multi-aspect Interactions for God Class Detection with Dataset Fine-tuning. COMPSAC 2021: 864-873
2010 – 2019
- 2017
- [j1]Hui Gu, Shaojun Ren, Fengqi Si, Zhigao Xu:
Evolved FCM framework for working condition classification in furnace system. Soft Comput. 21(21): 6317-6329 (2017)
Coauthor Index
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