Fode Zhang

23 papers Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Order-Preserving Kernel Contrastive Learning With Applications to Cross-Domain RUL Prediction.
IEEE Trans. Reliab.
Yifan Zhu, Fode Zhang, Wenyu Chen, Zhe Cheng, Lijuan Shen
2025 J jnl
Integrating causal representations with domain adaptation for fault diagnosis.
Reliab. Eng. Syst. Saf.
Ming Jiang, Kuang Zhou, Jiahui Gao, Fode Zhang
2025 J jnl
RUL Prediction With Cross-Domain Adaptation Based on Reproducing Kernel Hilbert Space.
IEEE Trans. Reliab.
Qin Shu, Fode Zhang, Lijuan Shen, Hon Keung Tony Ng
2025 J jnl
Remaining Useful Life Prediction via Information Enhanced Domain Adversarial Generalization.
IEEE Trans. Reliab.
Jiaolong Wang, Fode Zhang, Hon Keung Tony Ng, Yimin Shi
2025 — conf
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy.
AGI (1)
Kenric Nelson, Igor Oliveira, Amenah Al-Najafi, Fode Zhang, Hon Keung Tony Ng
2025 J jnl
Variational Inference Optimized Using the Curved Geometry of Coupled Free Energy.
CoRR
Kenric Nelson, Igor Oliveira, Amenah Al-Najafi, Fode Zhang, Hon Keung Tony Ng
2024 J jnl
Diagnosis and Pathogenic Analysis of Autism Spectrum Disorder Using Fused Brain Connection Graph.
CoRR
Lu Wei, Yi Huang, Guosheng Yin, Fode Zhang, Manxue Zhang, Bin Liu
2024 J jnl
Robust Estimation and Selection for Degradation Modeling With Inhomogeneous Increments.
IEEE Trans. Reliab.
Fode Zhang, Hon Keung Tony Ng, Lijuan Shen
2023 J jnl
A flexible RUL prediction method based on poly-cell LSTM with applications to lithium battery data.
Reliab. Eng. Syst. Saf.
Jiaolong Wang, Fode Zhang, Jianchuan Zhang, Wen Liu, Kuang Zhou
2023 J jnl
Properties of Standard and Sketched Kernel Fisher Discriminant.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiamin Liu, Wangli Xu, Fode Zhang, Heng Lian
2022 J jnl
Minimum f-Divergence Estimation With Applications to Degradation Data Analysis.
IEEE Trans. Inf. Theory
Fode Zhang, Jialiang Li, Hon Keung Tony Ng
2021 J jnl
Approximate nonparametric quantile regression in reproducing kernel Hilbert spaces via random projection.
Inf. Sci.
Fode Zhang, Rui Li, Heng Lian
2021 J jnl
Information Geometry of the Exponential Family of Distributions with Progressive Type-II Censoring.
Entropy
Fode Zhang, Xiaolin Shi, Hon Keung Tony Ng
2021 J jnl
The geometric structure on a degradation model with application to optimal design under a cost constraint.
J. Comput. Appl. Math.
Ruibing Wang, Min Wu, Yimin Shi, Hon Keung Tony Ng, Fode Zhang
2020 J jnl
Debiasing and Distributed Estimation for High-Dimensional Quantile Regression.
IEEE Trans. Neural Networks Learn. Syst.
Weihua Zhao, Fode Zhang, Heng Lian
2020 J jnl
Geometry on the statistical manifold induced by the degradation model with soft failure data.
J. Comput. Appl. Math.
Fode Zhang, Yimin Shi
2020 J jnl
Mis-specification analysis of Wiener degradation models by using
Reliab. Eng. Syst. Saf.
Fode Zhang, Hon Keung Tony Ng, Yimin Shi
2020 J jnl
Randomized sketches for kernel CCA.
Neural Networks
Heng Lian, Fode Zhang, Wenqi Lu
2020 J jnl
Randomized sketches for sparse additive models.
Neurocomputing
Fode Zhang, Xuejun Wang, Rui Li, Heng Lian
2018 J jnl
Bayesian duality and risk analysis on the statistical manifold of exponential family with censored data.
J. Comput. Appl. Math.
Fode Zhang, Hon Keung Tony Ng, Yimin Shi
2018 J jnl
Information Geometry of Generalized Bayesian Prediction Using α-Divergences as Loss Functions.
IEEE Trans. Inf. Theory
Fode Zhang, Yimin Shi, Hon Keung Tony Ng, Ruibing Wang
2017 J jnl
Geometry of an accelerated model with censored data.
J. Comput. Appl. Math.
Fode Zhang, Yimin Shi, Chunfang Zhang
2017 J jnl
Reliability nonparametric Bayesian estimation for the masked data of parallel systems in step-stress accelerated life tests.
J. Comput. Appl. Math.
Bin Liu, Yimin Shi, Fode Zhang, Xuchao Bai