Fode Zhang

According to our database, Fode Zhang authored at least 16 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Robust Estimation and Selection for Degradation Modeling With Inhomogeneous Increments.

Fode Zhang, Hon Keung Tony Ng, Lijuan Shen

IEEE Trans. Reliab., March, 2024

2023

Properties of Standard and Sketched Kernel Fisher Discriminant.

Jiamin Liu, Wangli Xu, Fode Zhang, Heng Lian

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data.

Jiaolong Wang, Fode Zhang, Jianchuan Zhang, Wen Liu, Kuang Zhou

Reliab. Eng. Syst. Saf., 2023

2022

Minimum f-Divergence Estimation With Applications to Degradation Data Analysis.

Fode Zhang, Jialiang Li, Hon Keung Tony Ng

IEEE Trans. Inf. Theory, 2022

2021

The geometric structure on a degradation model with application to optimal design under a cost constraint.

Ruibing Wang, Min Wu, Yimin Shi, Hon Keung Tony Ng, Fode Zhang

J. Comput. Appl. Math., 2021

Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection.

Fode Zhang, Rui Li, Heng Lian

Inf. Sci., 2021

Information Geometry of the Exponential Family of Distributions with Progressive Type-II Censoring.

Fode Zhang, Xiaolin Shi, Hon Keung Tony Ng

Entropy, 2021

2020

Debiasing and Distributed Estimation for High-Dimensional Quantile Regression.

Weihua Zhao, Fode Zhang, Heng Lian

IEEE Trans. Neural Networks Learn. Syst., 2020

Mis-specification analysis of Wiener degradation models by using <i>f</i>-divergence with outliers.

Fode Zhang, Hon Keung Tony Ng, Yimin Shi

Reliab. Eng. Syst. Saf., 2020

Randomized sketches for kernel CCA.

Heng Lian, Fode Zhang, Wenqi Lu

Neural Networks, 2020

Geometry on the statistical manifold induced by the degradation model with soft failure data.

Fode Zhang, Yimin Shi

J. Comput. Appl. Math., 2020

Randomized sketches for sparse additive models.

Fode Zhang, Xuejun Wang, Rui Li, Heng Lian

Neurocomputing, 2020

2018

Information Geometry of Generalized Bayesian Prediction Using α-Divergences as Loss Functions.

Fode Zhang, Yimin Shi, Hon Keung Tony Ng, Ruibing Wang

IEEE Trans. Inf. Theory, 2018

Bayesian duality and risk analysis on the statistical manifold of exponential family with censored data.

Fode Zhang, Hon Keung Tony Ng, Yimin Shi

J. Comput. Appl. Math., 2018

2017

Geometry of an accelerated model with censored data.

Fode Zhang, Yimin Shi, Chunfang Zhang

J. Comput. Appl. Math., 2017

Reliability nonparametric Bayesian estimation for the masked data of parallel systems in step-stress accelerated life tests.

Bin Liu, Yimin Shi, Fode Zhang, Xuchao Bai

J. Comput. Appl. Math., 2017