Fode Zhang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 16

Top Topics

Kullback Leibler

Robust Estimators

Top Venues

J. Comput. Appl. Math.

IEEE Trans. Inf. Theory

Reliab. Eng. Syst. Saf.

IEEE Trans. Reliab.

Publications

Fode Zhang, Hon Keung Tony Ng, Lijuan Shen
Robust Estimation and Selection for Degradation Modeling With Inhomogeneous Increments. IEEE Trans. Reliab. 73 (1) (2024)
Jiaolong Wang, Fode Zhang, Jianchuan Zhang, Wen Liu, Kuang Zhou
A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data. Reliab. Eng. Syst. Saf. 231 (2023)
Jiamin Liu, Wangli Xu, Fode Zhang, Heng Lian
Properties of Standard and Sketched Kernel Fisher Discriminant. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Fode Zhang, Jialiang Li, Hon Keung Tony Ng
Minimum f-Divergence Estimation With Applications to Degradation Data Analysis. IEEE Trans. Inf. Theory 68 (10) (2022)
Ruibing Wang, Min Wu, Yimin Shi, Hon Keung Tony Ng, Fode Zhang
The geometric structure on a degradation model with application to optimal design under a cost constraint. J. Comput. Appl. Math. 382 (2021)
Fode Zhang, Xiaolin Shi, Hon Keung Tony Ng
Information Geometry of the Exponential Family of Distributions with Progressive Type-II Censoring. Entropy 23 (6) (2021)
Fode Zhang, Rui Li, Heng Lian
Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection. Inf. Sci. 547 (2021)
Fode Zhang, Hon Keung Tony Ng, Yimin Shi
-divergence with outliers. Reliab. Eng. Syst. Saf. 195 (2020)
Fode Zhang, Yimin Shi
Geometry on the statistical manifold induced by the degradation model with soft failure data. J. Comput. Appl. Math. 363 (2020)
Weihua Zhao, Fode Zhang, Heng Lian
Debiasing and Distributed Estimation for High-Dimensional Quantile Regression. IEEE Trans. Neural Networks Learn. Syst. 31 (7) (2020)
Fode Zhang, Xuejun Wang, Rui Li, Heng Lian
Randomized sketches for sparse additive models. Neurocomputing 385 (2020)
Heng Lian, Fode Zhang, Wenqi Lu
Randomized sketches for kernel CCA. Neural Networks 127 (2020)
Fode Zhang, Yimin Shi, Hon Keung Tony Ng, Ruibing Wang
Information Geometry of Generalized Bayesian Prediction Using α-Divergences as Loss Functions. IEEE Trans. Inf. Theory 64 (3) (2018)
Fode Zhang, Hon Keung Tony Ng, Yimin Shi
Bayesian duality and risk analysis on the statistical manifold of exponential family with censored data. J. Comput. Appl. Math. 342 (2018)
Bin Liu, Yimin Shi, Fode Zhang, Xuchao Bai
Reliability nonparametric Bayesian estimation for the masked data of parallel systems in step-stress accelerated life tests. J. Comput. Appl. Math. 311 (2017)
Fode Zhang, Yimin Shi, Chunfang Zhang
Geometry of an accelerated model with censored data. J. Comput. Appl. Math. 317 (2017)