Dr. DONG Yining (董一凝)

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Research Output

  1. 2022
  2. Published

    Fractional calculus & machine learning methods based rubber stress-strain relationship prediction

    Li, D., Liu, J., Zhang, Z., Yan, M., Dong, Y. & Liu, J., Jul 2022, In: Molecular Simulation. 48, 10, p. 944-954

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

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  3. Published

    A Machine Learning Framework to Predict the Tensile Stress of Natural Rubber: Based on Molecular Dynamics Simulation Data

    Huang, Y., Chen, Q., Zhang, Z., Gao, K., Hu, A., Dong, Y., Liu, J. & 1 others, Cui, L., May 2022, In: Polymers. 14, 9, 1897.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

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  4. 2021
  5. Published

    Plant-wide troubleshooting and diagnosis using dynamic embedded latent feature analysis

    Qin, S. J., Liu, Y. & Dong, Y., Sep 2021, In: Computers and Chemical Engineering. 152, 107392.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 2
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  6. Online published

    Extracting a low-dimensional predictable time series

    Dong, Y., Qin, S. J. & Boyd, S. P., 28 May 2021, (Online published) In: Optimization and Engineering. 26 p.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 2
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  7. Published

    Adaptive dynamic predictive monitoring scheme based on DLV models

    Dong, Y. & Qin, S. J., 2021, 19th IFAC Symposium on System Identification SYSID 2021: Padova, Italy, 13-16 July 2021. Pillonetto, G. (ed.). ELSEVIER, p. 91-96 (IFAC-PapersOnLine; vol. 54, no. 7).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review

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  8. Published

    Deep Dynamic Adaptive Transfer Network for Rolling Bearing Fault Diagnosis with Considering Cross-machine Instance

    Zhou, Y., Dong, Y., Zhou, H. & Tang, G., 2021, In: IEEE Transactions on Instrumentation and Measurement. 70, 3525211.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 4
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  9. 2020
  10. Published

    On Data Science for Process Systems Modeling, Control and Operations

    Qin, S. J. & Dong, Y., Nov 2020, In: IFAC-PapersOnLine. 53, 2, p. 11325-11331

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 1
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  11. Published

    Dynamic-Inner Canonical Correlation Analysis based Process Monitoring

    Dong, Y. & Qin, S. J., Jul 2020, 2020 American Control Conference. IEEE, p. 3553-3558 9147890. (Proceedings of the American Control Conference).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review

    Check@CityULib
  12. Published

    Dynamic latent variable regression for inferential sensor modeling and monitoring

    Zhu, Q., Joe Qin, S. & Dong, Y., 9 Jun 2020, In: Computers and Chemical Engineering. 137, 106809.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 21
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  13. Published

    Efficient Dynamic Latent Variable Analysis for High-Dimensional Time Series Data

    Dong, Y., Liu, Y. & Qin, S. J., Jun 2020, In: IEEE Transactions on Industrial Informatics. 16, 6, p. 4068-4076 9 p., 8928945.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 12
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  14. Published

    New Dynamic Predictive Monitoring Schemes Based on Dynamic Latent Variable Models

    Dong, Y. & Joe Qin, S., 12 Feb 2020, In: Industrial and Engineering Chemistry Research. 59, 6, p. 2353-2365

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 13
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  15. Published

    Bridging systems theory and data science: A unifying review of dynamic latent variable analytics and process monitoring

    Qin, S. J., Dong, Y., Zhu, Q., Wang, J. & Liu, Q., 2020, In: Annual Reviews in Control. 50, p. 29-48

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 32
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  16. 2019

  17. 基于动态建模与重构的列车轴承故障检测和定位

    刘强, 方彤, 董一凝 & 秦泗钊, Dec 2019, In: 自动化学报/Acta Automatica Sinica. 45, 12, p. 2233-2241

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 3
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  18. 2018

  19. Regression on dynamic PLS structures for supervised learning of dynamic data

    Dong, Y. & Qin, S. J., Aug 2018, In: Journal of Process Control. 68, p. 64-72 9 p.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 47
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  20. A novel dynamic PCA algorithm for dynamic data modeling and process monitoring

    Dong, Y. & Qin, S. J., Jul 2018, In: Journal of Process Control. 67, p. 1-11 11 p.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 209
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  21. Dynamic Latent Variable Analytics for Process Operations and Control

    Dong, Y. & Qin, S. J., 9 Jun 2018, In: Computers and Chemical Engineering. 114, p. 69-80 12 p.

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 44
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  22. DiCCA with Discrete-Fourier Transforms for Power System Events Detection and Localization

    Dong, Y., Liu, Y. & Joe Qin, S., 2018, In: IFAC-PapersOnLine. 51, 18, p. 726-731

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 3
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  23. Dynamic-Inner Canonical Correlation and Causality Analysis for High Dimensional Time Series Data

    Dong, Y. & Joe Qin, S., 2018, In: IFAC-PapersOnLine. 51, 18, p. 476-481

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 21
    Check@CityULib

  24. Hybrid Latent Variable Modeling of High Dimensional Time Series Data

    Qin, S. J. & Dong, Y., 2018, In: IFAC-PapersOnLine. 51, 15, p. 563-568

    Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review

    Scopus citations: 1
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  25. 2015

  26. Advanced Streaming Data Cleansing

    Deshpande, A., Dong, Y., Li, G., Zheng, Y., Qin, S. & Brenskelle, L. A., Mar 2015, Society of Petroleum Engineers - SPE Digital Energy Conference and Exhibition 2015. Society of Petroleum Engineers, p. 276-284 (Society of Petroleum Engineers - SPE Digital Energy Conference and Exhibition).

    Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45) › 32_Refereed conference paper (with ISBN/ISSN) › peer-review

    Scopus citations: 4
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