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2020 – today
- 2024
[j16]Fode Zhang
, Hon Keung Tony Ng, Lijuan Shen:
Robust Estimation and Selection for Degradation Modeling With Inhomogeneous Increments. IEEE Trans. Reliab. 73(1): 560-575 (2024)- [i1]Lu Wei, Yi Huang, Guosheng Yin, Fode Zhang, Manxue Zhang, Bin Liu:
Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph. CoRR abs/2410.07138 (2024) - 2023
- [j15]Jiamin Liu, Wangli Xu, Fode Zhang, Heng Lian:
Properties of Standard and Sketched Kernel Fisher Discriminant. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10596-10602 (2023) - [j14]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: 108976 (2023) - 2022
- [j13]Fode Zhang, Jialiang Li, Hon Keung Tony Ng:
Minimum f-Divergence Estimation With Applications to Degradation Data Analysis. IEEE Trans. Inf. Theory 68(10): 6774-6789 (2022) - 2021
- [j12]Fode Zhang, Xiaolin Shi, Hon Keung Tony Ng:
Information Geometry of the Exponential Family of Distributions with Progressive Type-II Censoring. Entropy 23(6): 687 (2021) - [j11]Fode Zhang, Rui Li, Heng Lian:
Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection. Inf. Sci. 547: 244-254 (2021) - [j10]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: 113081 (2021) - 2020
- [j9]Fode Zhang, Xuejun Wang, Rui Li, Heng Lian:
Randomized sketches for sparse additive models. Neurocomputing 385: 80-87 (2020) - [j8]Fode Zhang, Yimin Shi:
Geometry on the statistical manifold induced by the degradation model with soft failure data. J. Comput. Appl. Math. 363: 211-222 (2020) - [j7]Heng Lian, Fode Zhang, Wenqi Lu:
Randomized sketches for kernel CCA. Neural Networks 127: 29-37 (2020) - [j6]Fode Zhang, Hon Keung Tony Ng, Yimin Shi:
Mis-specification analysis of Wiener degradation models by using f-divergence with outliers. Reliab. Eng. Syst. Saf. 195: 106751 (2020) - [j5]Weihua Zhao, Fode Zhang, Heng Lian:
Debiasing and Distributed Estimation for High-Dimensional Quantile Regression. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2569-2577 (2020)
2010 – 2019
- 2018
- [j4]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: 534-549 (2018) - [j3]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): 1812-1824 (2018) - 2017
- [j2]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: 375-386 (2017) - [j1]Fode Zhang, Yimin Shi, Chunfang Zhang:
Geometry of an accelerated model with censored data. J. Comput. Appl. Math. 317: 137-145 (2017)
Coauthor Index
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