User profiles for Huisheng Zhang
A cross-modality learning approach for vessel segmentation in retinal images
…, B Feng, LP Xie, P Liang, H Zhang… - IEEE transactions on …, 2015 - ieeexplore.ieee.org
This paper presents a new supervised method for vessel segmentation in retinal images.
This method remolds the task of segmentation as a problem of cross-modality data …
This method remolds the task of segmentation as a problem of cross-modality data …
Convergence of the RMSProp deep learning method with penalty for nonconvex optimization
A norm version of the RMSProp algorithm with penalty (termed RMSPropW) is introduced
into the deep learning framework and its convergence is addressed both analytically and …
into the deep learning framework and its convergence is addressed both analytically and …
Growth of single-crystal black phosphorus and its alloy films through sustained feedstock release
Black phosphorus (BP), a fascinating semiconductor with high mobility and a tunable direct
bandgap, has emerged as a candidate beyond traditional silicon-based devices for next-…
bandgap, has emerged as a candidate beyond traditional silicon-based devices for next-…
Boundedness and convergence of online gradient method with penalty for feedforward neural networks
H Zhang, W Wu, F Liu, M Yao - IEEE transactions on neural …, 2009 - ieeexplore.ieee.org
In this brief, we consider an online gradient method with penalty for training feedforward
neural networks. Specifically, the penalty is a term proportional to the norm of the weights. Its …
neural networks. Specifically, the penalty is a term proportional to the norm of the weights. Its …
Remaining useful life prediction of aero-engine enabled by fusing knowledge and deep learning models
Y Li, Y Chen, Z Hu, H Zhang - Reliability Engineering & System Safety, 2023 - Elsevier
The remaining useful life (RUL) prediction of a complex engineering system is extremely
significant for ensuring system reliability. The conventional prediction of the RUL based on only …
significant for ensuring system reliability. The conventional prediction of the RUL based on only …
Structural‐engineering rationales of gold nanoparticles for cancer theranostics
W Chen, S Zhang, Y Yu, H Zhang, Q He - Advanced Materials, 2016 - Wiley Online Library
Personalized theranostics of cancer is increasingly desired, and can be realized by virtue of
multifunctional nanomaterials with possible high performances. Gold nanoparticles (GNPs) …
multifunctional nanomaterials with possible high performances. Gold nanoparticles (GNPs) …
Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks
D Zhou, Q Yao, H Wu, S Ma, H Zhang - Energy, 2020 - Elsevier
The fault diagnosis of gas turbines plays a vital role in engine reliability and availability. The
data-driven diagnostic model has been verified useful for identifying and characterizing …
data-driven diagnostic model has been verified useful for identifying and characterizing …
CoxP@Co3O4 Nanocomposite on Cobalt Foam as Efficient Bifunctional Electrocatalysts for Hydrazine-Assisted Hydrogen Production
X Xu, T Wang, W Lu, L Dong, H Zhang… - ACS Sustainable …, 2021 - ACS Publications
The kinetically sluggish oxygen evolution reaction (OER) at an anode has always been the
bottleneck in the large-scale application of electrocatalytic water splitting to produce …
bottleneck in the large-scale application of electrocatalytic water splitting to produce …
Colorectal polyp segmentation using a fully convolutional neural network
…, D Xu, X Zhou, S Zhong, H Zhang… - … congress on image …, 2017 - ieeexplore.ieee.org
Colorectal cancer is the third common cancer in the United States and most colorectal cancer
is associated with colorectal polyps. In hospital, colonoscopy is a common way to detect …
is associated with colorectal polyps. In hospital, colonoscopy is a common way to detect …
Prediction of monolayered ferromagnetic as an intrinsic high-temperature quantum anomalous Hall system
Quantized Hall conductance without an external magnetic field, known as the quantum
anomalous Hall effect (QAHE), may have important applications in dissipationless spintronics, yet …
anomalous Hall effect (QAHE), may have important applications in dissipationless spintronics, yet …