Peer-Reviewed Publications (Selected)

    2025

  1. Q. Shu F.D. Zhang, L.J. Shen, H. K.T. Ng. RUL Prediction With Cross-Domain Adaptation Based on Reproducing Kernel Hilbert Space, IEEE Transactions on Reliability, accepted. DOI: https://doi.org/10.1109/TR.2024.3488792
  2. J.L. Wang, F.D. Zhang, H. K.T. Ng, Y.M. Shi. Remaining Useful Life Prediction via Information Enhanced Domain Adversarial Generalization, IEEE Transactions on Reliability, accepted. DOI: https://doi.org/10.1109/TR.2024.3441592.

    3. 2024

  3. F.D. Zhang, H. K.T. Ng, L.J. Shen. Robust Estimation and Selection for Degradation Modeling With Inhomogeneous Increments, IEEE Transactions on Reliability, 73 (2024) 560 - 575.

    4. 2023

  4. J.M. Liu, W.L. Xu, F.D. Zhang, H. Lian. Properties of Standard and Sketched Kernel Fisher Discriminant, IEEE Transactions on Pattern Analysis and Machine Intelligence, 45 (2023) 10596 - 10602.
  5. J.L. Wang, F.D. Zhang, J.C. Zhang, W. Liu, K.Zhou. A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data. Reliability Engineering & System Safety, 231 (2023) 108976

    6. 2022

  6. F.D. Zhang, J.L. Li, H.K.T. Ng. Minimum $f$-Divergence Estimation with Applications to Degradation Data Analysis. IEEE Transactions on Information Theory, 68 (2022) 6774 -- 6789
  7. L. Wang, Y. Lio, Y. Tripathi, S. Dey, F.D. Zhang . Inference of dependent left-truncated and right-censored competing risks data from a general bivariate class of inverse exponentiated distributions. Statistics, 56 (2022) 347-374

    8. 2021

  8. F.D. Zhang, R. Li , H. Lian, D. Bandyopadhyay. Sparse reduced-rank regression for multivariate varying-coefficient models. Journal of Statistical Computation and Simulation 91(2021) 752-767
  9. F.D. Zhang, X. Shi, H.K.T. Ng. Information Geometry of the Exponential Family of Distributions with Progressive Type-II Censoring. Entropy 23 (2021) 687.
  10. F.D. Zhang, R. Li, H. Lian. Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection. Information Sciences 547 (2021) 244-254
  11. R.B. Wang, M. Wu, Y.M. Shi, H.K.T. Ng, F.D. Zhang (Corresponding author). The geometric structure on a degradation model with application to optimal design under a cost constraint. Journal of Computational and Applied Mathematics, 382 (2021) 113081.

    12. 2020

  12. F.D. Zhang, H.K.T. Ng, Y.M. Shi, Mis-Specification Analysis of Wiener Degradation Models by Using f-Divergence with Outliers. Reliability Engineering & System Safety,195 (2020) 106751.
  13. F.D. Zhang, W. Zhang, R. Li, H. Lian. Faster convergence rate for functional linear regression in reproducing kernel Hilbert spaces. Statistics 54 (2020) 167-181
  14. F.D. Zhang, Y.M. Shi. Geometry on the statistical manifold induced by the degradation model with soft failure data. Journal of Computational and Applied Mathematics, 363 (2020) 211-222.
  15. F.D. Zhang, H.K.T. Ng, Y.M. Shi. Geometry on degradation models and mis-specification analysis by using Alpha-divergence. Physica A 527(2020) 121343
  16. H. Lian, F.D. Zhang, W. Lu. Randomized sketches for kernel CCA. Neural Networks127 (2020) 29-37
  17. W.H. Zhao, F.D. Zhang, , H. Lian. Debiasing and Distributed Estimation for HighDimensional Quantile Regression. IEEE Transactions on neural networks and learning systems 31 (2020) 2569-2577
  18. F.D. Zhang, X. Wang, R. Li, H. Lian. Randomized sketches for sparse additive models. Neurocomputing 385 (2020) 80-87.
  19. G. Wang, F.D. Zhang, H. Lian. Directional regression for functional data. Journal of Statistical Planning and Inference 204 (2020) 1-17

    20. 2019

  20. F.D. Zhang, H.K.T. Ng, Y.M. Shi, R.B. Wang. Amari–Chentsov structure on the statistical manifold of models for accelerated life tests. TEST 28 (2019) 77–105
  21. F.D. Zhang, H. Lian. Partially Functional Linear Regression with Quadratic Regularization. Inverse Problems 35 (2019) 105002.
  22. W. Zhao, F.D. Zhang, X. Wang, R. Li, H. Lian, Principal varying coefficient estimator for high-dimensional models. Statistics 53 (2019) 1234-1250.

    23. 2018

  23. F.D. Zhang, Y.M. Shi, H.K.T. Ng, R.B. Wang. Information Geometry of Generalized Bayesian Prediction Using alpha-divergences as Loss Functions. IEEE Transactions on Information Theory 64 (2018) 1812-1824.
  24. F.D. Zhang, H.K.T. Ng, Y.M. Shi. Information geometry on the curved q-exponential family with application to survival data analysis. Physica A 512 (2018) 788-802.
  25. F.D. Zhang, H.K.T. Ng, Y.M. Shi. Bayesian duality and risk analysis on the statistical manifold of exponential family with censored data. Journal of Computational and Applied Mathematics 342 (2018) 534-549.
  26. F.D. Zhang, H.K.T. Ng, Y.M. Shi. On alternative q-Weibull and q-extreme value distributions: Properties and applications. Physica A: Statistical Mechanics and its Applications 490 (2018) 1171-1190.

    27. 2017

  27. F.D. Zhang, Y.M. Shi, C.F. Zhang. Geometry of an accelerated model with censored data. Journal of Computational and Applied Mathematics 317 (2017) 137-145.
  28. F.D. Zhang, Y.M. Shi, R.B. Wang. Geometry of the q-exponential distribution with dependent competing risks and accelerated life testing. Physica A 468 (2017) 552-565.

    29. 2016

  29. F.D. Zhang, Y.M. Shi. Geometry of exponential family with competing risks and censored data. Physica A 446 (2016) 234-245.
  30. F.D. Zhang, Y.M. Shi, H.K.T. Ng, R.B. Wang. Tsallis statistics in reliability analysis: Theory and methods. The European Physical Journal Plus 131 (2016) 379.

    31. 2015

  31. F.D. Zhang. Periodic solutions for a Cauchy problem on time scales. Arab Journal of Mathematical Sciences. 21 (2015) 237-252.