User profiles for "author:Xufeng Huang"

Xufeng Huang

Huazhong University of Science & Technology
Verified email at hust.edu.cn
Cited by 478

[HTML][HTML] Lactate in the tumor microenvironment: A rising star for targeted tumor therapy

Z Li, Q Wang, X Huang, M Yang, S Zhou, Z Li… - Frontiers in …, 2023 - frontiersin.org
Metabolic reprogramming is one of fourteen hallmarks of tumor cells, among which aerobic
glycolysis, often known as the “Warburg effect,” is essential to the fast proliferation and …

[HTML][HTML] A literature review: mechanisms of antitumor pharmacological action of leonurine alkaloid

Q Cao, Q Wang, X Wu, Q Zhang, J Huang… - Frontiers in …, 2023 - frontiersin.org
Leonurine refers to the desiccated aerial portion of a plant in the Labiatae family. The
primary bioactive constituent of Leonurine is an alkaloid, Leonurine alkaloid (Leo) …

Intelligent mechanical fault diagnosis using multisensor fusion and convolution neural network

T Xie, X Huang, SK Choi - IEEE Transactions on Industrial …, 2021 - ieeexplore.ieee.org
Diagnosis of mechanical faults in manufacturing systems is critical for ensuring safety and
saving costs. With the development of data transmission and sensor technologies …

Fault diagnosis of rotating machinery based on recurrent neural networks

Y Zhang, T Zhou, X Huang, L Cao, Q Zhou - Measurement, 2021 - Elsevier
Fault diagnosis of rotating machinery is essential for maintaining system performance and
ensuring the operation safety. Deep learning (DL) has been recently developed rapidly and …

[HTML][HTML] Integrating multiple machine learning methods to construct glutamine metabolism-related signatures in lung adenocarcinoma

P Zhang, S Pei, L Wu, Z Xia, Q Wang… - Frontiers in …, 2023 - frontiersin.org
Background Glutamine metabolism (GM) is known to play a critical role in cancer
development, including in lung adenocarcinoma (LUAD), although the exact contribution of …

Transfer learning based on improved stacked autoencoder for bearing fault diagnosis

S Luo, X Huang, Y Wang, R Luo, Q Zhou - Knowledge-Based Systems, 2022 - Elsevier
Deep transfer learning algorithm is regarded as a promising method to address the issue of
rolling bearing fault diagnosis with limited labeled data. Stacked autoencoder (SAE) has …

[HTML][HTML] Brief literature review and comprehensive bioinformatics analytics unravel the potential mechanism of curcumin in the treatment of periodontitis

X Huang, Y Liu, Q Wang, HM Rehman, D Horváth… - BMC Oral Health, 2023 - Springer
Objective Periodontitis is a chronic oral disease prevalent worldwide, and natural products
are recommended as adjunctive therapy due to their minor side effects. Curcumin, a widely …

Deep transfer convolutional neural network and extreme learning machine for lung nodule diagnosis on CT images

X Huang, Q Lei, T Xie, Y Zhang, Z Hu, Q Zhou - Knowledge-Based Systems, 2020 - Elsevier
Diagnosis of benign–malignant nodules in the lung on Computed Tomography (CT) images
is critical for determining tumor level and reducing patient mortality. Deep learning-based …

In situ quality inspection with layer-wise visual images based on deep transfer learning during selective laser melting

J Li, Q Zhou, X Huang, M Li, L Cao - Journal of Intelligent Manufacturing, 2023 - Springer
Selective laser melting is the most commonly used additive manufacturing technique for
fabricating metal components. However, the SLMed part quality still largely suffered from the …

[HTML][HTML] Establishment of a novel lysosomal signature for the diagnosis of gastric cancer with in-vitro and in-situ validation

Q Wang, Y Liu, Z Li, Y Tang, W Long, H Xin… - Frontiers in …, 2023 - frontiersin.org
Background Gastric cancer (GC) represents a malignancy with a multi-factorial combination
of genetic, environmental, and microbial factors. Targeting lysosomes presents significant …