Peer-Reviewed Publications (Selected)

    2026

  1. Y.F. Zhu, W.Y. Cheng, Z. Chen, F.D. Zhang✉, Z.S. Ye. Causality-Preserving Domain Generalization via Adaptive Fourier Mixup for RUL Prediction, IEEE Transactions on Pattern Analysis and Machine Intelligence, 48 (2026) 10924--10939
  2. Z. Chen, W.Y. Cheng, F.D. Zhang✉, D.H. Shen. Mitigating Hallucinations in Large Vision-Language Models via Causal Route Gating, Forty-third International Conference on Machine Learning (ICML 2026), spotlight paper, top 2.2%
  3. Z. Chen, F.D. Zhang✉, L.R. Wang, Y.F. Zhu, J.L. Wang. Domain Adaptation with Adaptive f-Divergence: Tighter Variational Representation and Generalization Bounds, Forty-third International Conference on Machine Learning (ICML 2026)
  4. J.L. Wang, F.D. Zhang✉, L.R. Wang. Scalable and Stable Estimation of Amari alpha-Divergence using Random Fourier Features, Forty-third International Conference on Machine Learning (ICML 2026)
  5. Y.W. Xie, F.D. Zhang, Y.H. Jia, F.M. Lv. Bridging and Perceiving Domain Gaps for Source-Free Video Domain Adaptation from the Keyframe Sampling Perspective. 34th ACM International Conference on Multimedia (ACM MM 2026)
  6. Y.F. Zhu, F.D. Zhang✉, Z. Chen, W.Y. Cheng, L.J. Shen. Order-Preserving Kernel Contrastive Learning with Applications to Cross-Domain RUL Prediction, IEEE Transactions on Reliability, 75 (2026) 97--111

    7. 2025

  7. 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, 74 (2025) 3871--3883.
  8. 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, 74 (2025) 2837-- 2850.
  9. M. Jiang, K. Zhou, J. Gao, F.D. Zhang . Integrating causal representations with domain adaptation for fault diagnosis, Reliability Engineering & System Safety, 260 (2025) 110999.

    10. 2024

  10. 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.

    11. 2023

  11. 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.
  12. 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

    13. 2022

  13. 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
  14. 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

    15. 2021

  15. 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
  16. 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.
  17. 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
  18. R.B. Wang, M. Wu, Y.M. Shi, H.K.T. Ng, F.D. Zhang ✉. 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.

    19. 2020

  19. 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.
  20. 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
  21. 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.
  22. 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
  23. H. Lian, F.D. Zhang, W. Lu. Randomized sketches for kernel CCA. Neural Networks127 (2020) 29-37
  24. 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
  25. F.D. Zhang, X. Wang, R. Li, H. Lian. Randomized sketches for sparse additive models. Neurocomputing 385 (2020) 80-87.
  26. G. Wang, F.D. Zhang, H. Lian. Directional regression for functional data. Journal of Statistical Planning and Inference 204 (2020) 1-17

    27. 2019

  27. 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
  28. F.D. Zhang, H. Lian. Partially Functional Linear Regression with Quadratic Regularization. Inverse Problems 35 (2019) 105002.
  29. W. Zhao, F.D. Zhang, X. Wang, R. Li, H. Lian, Principal varying coefficient estimator for high-dimensional models. Statistics 53 (2019) 1234-1250.

    30. 2018

  30. 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.
  31. 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.
  32. 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.
  33. 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.

    34. 2017

  34. 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.
  35. 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.

    36. 2016

  36. F.D. Zhang✉, Y.M. Shi. Geometry of exponential family with competing risks and censored data. Physica A 446 (2016) 234-245.
  37. 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.

    38. 2015

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