Zeyu Wang

ORCID: 0000-0002-1223-1661
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About
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Research Areas
  • Advanced Image Fusion Techniques
  • Bariatric Surgery and Outcomes
  • Image Enhancement Techniques
  • Remote-Sensing Image Classification
  • Remote Sensing in Agriculture
  • Gastric Cancer Management and Outcomes
  • Cancer-related molecular mechanisms research
  • Image and Signal Denoising Methods
  • Impact of Light on Environment and Health
  • Machine Learning in Bioinformatics
  • Esophageal and GI Pathology
  • Advanced Image Processing Techniques
  • Advanced Optical Imaging Technologies
  • Photoacoustic and Ultrasonic Imaging
  • Visual Attention and Saliency Detection
  • Advanced Sensor and Energy Harvesting Materials
  • Structural Engineering and Vibration Analysis
  • Protein Structure and Dynamics
  • Energetic Materials and Combustion
  • Genomics and Phylogenetic Studies
  • Advanced Vision and Imaging
  • RNA and protein synthesis mechanisms
  • Remote Sensing and Land Use
  • High-Velocity Impact and Material Behavior
  • Structural Response to Dynamic Loads

Jilin University
2019-2025

Minzu University of China
2025

Dalian Minzu University
2025

Zhejiang Normal University
2025

Jilin Medical University
2021-2024

Sun Yat-sen University
2024

Zhejiang University
2023

Union Hospital
2022-2023

North University of China
2022-2023

Zhengzhou University
2023

Multi-focus image fusion (MFIF) attempts to achieve an "all-focused" from multiple source images with the same scene but different focused objects. Given lack of multi-focus sets for network training, we propose a self-supervised residual feature learning model in this paper. The consists extraction and module. We select super-resolution as pretext task MFIF field, which is supported by new gradient prior discovered our theoretical study low- high-resolution (LR-HR) pairs, well images. In...

10.1109/tip.2022.3184250 article EN IEEE Transactions on Image Processing 2022-01-01

Phosphorylation is one of the most common protein post-translational modifications. The identification phosphorylation sites serves as cornerstone for protein-phosphorylation-related research. This paper proposes a protein-phosphorylation site-prediction model based on graph neural networks named GraphPhos, which combines sequence features with structure features. Sequence are derived from manual extraction and calculation pre-trained language models, feature secondary contact map calculated...

10.3390/ijms26030941 article EN International Journal of Molecular Sciences 2025-01-23

10.1109/icassp49660.2025.10889889 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

10.1109/icassp49660.2025.10889102 article EN ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2025-03-12

The rise in endometrial cancer rates globally calls for advanced diagnostic methods and new biomarkers. CPA4, known its role development, has not yet been studied relation to cancer, making it a promising research avenue. We analyzed CPA4's mRNA expression using data from TCGA GEO databases validated these findings with 116 clinical samples through immunohistochemical analysis. Ishikawa Hec-1-A cell lines were used examine functionality. In addition, we conducted correlation analysis, Gene...

10.1186/s40001-025-02293-0 article EN cc-by-nc-nd European journal of medical research 2025-03-15

Background Doxorubicin (DOX) has a broad anticancer spectrum and precise effects, but its clinical application is limited by severe multiorgan toxicity, among which nephrotoxicity one of the main adverse reactions. In this study, protective effect voluntary wheel running on induced DOX was observed, mechanism initially discussed. Methods Forty male C57BL/6 mice were randomly divided into control group (CTR), (EX), doxorubicin model combined with (COM). After 2 weeks exercise, sacrificed....

10.1371/journal.pone.0321121 article EN cc-by PLoS ONE 2025-04-01

Abstract Electrocardiogram (ECG) is conducted to monitor the electrical activity of heart by presenting small amplitude and duration signals; as a result, hidden information present in ECG data difficult determine. However, this concealed can be used detect abnormalities. In our study, fast feature-fusion method heartbeat classification based on multi-linear subspace learning proposed. The consists four stages. First, baseline high frequencies are removed segment heartbeat. Second, an...

10.1186/s13634-015-0231-0 article EN cc-by EURASIP Journal on Advances in Signal Processing 2015-05-30

Abstract Uterine corpus endometrial carcinoma (UCEC) is one of the most common malignancies female genital tract. A recently discovered protein‐coding gene, PPP1R14B, can inhibit protein phosphatase 1 (PP1) as well different PP1 holoenzymes, which are important proteins regulating cell growth, cycle, and apoptosis. However, association between PPP1R14B expression UCEC remains undefined. The profiles in multiple cancers were analysed based on TCGA GTE databases. Then, was investigated by gene...

10.1111/jcmm.17697 article EN cc-by Journal of Cellular and Molecular Medicine 2023-02-23

The incidence and mortality of uterine corpus endometrial carcinoma (UCEC) are increasing yearly. There is currently no screening test for UCEC, progress in its treatment limited. It important to identify new biomarkers screening, diagnosing predicting the outcomes UCEC. A large number previous studies have proven that KNL1 crucial development lung cancer, colorectal cancer cervical but there a lack about role UCEC.The mRNA protein expression data Cancer Genome Atlas (TCGA), Gene Expression...

10.3389/fonc.2023.1090779 article EN cc-by Frontiers in Oncology 2023-01-27

Large-scale volcanic eruptions always inflict severe damage upon facilities and cause significant environmental pollution. Building caused by lava flow ash coverage can reflect the infrastructure devastation victim scope within affected region. The application of machine learning methods for building automated identification from remote sensing imagery typically relies on a large number training samples. However, labeled data scarcity is common issue in field disasters, particularly...

10.1016/j.jag.2023.103622 article EN cc-by International Journal of Applied Earth Observation and Geoinformation 2023-12-17

The spatiotemporal remote sensing images have a significant importance in forest ecological monitoring, carbon management, and other related fields. Spatiotemporal data fusion technology of combines high temporal resolution to address the current limitation single sensors obtaining resolution. This has gained widespread attention recent years. However, models still exhibit some shortcomings dealing with land cover changes, such as poor clustering results, inaccurate incremental calculations,...

10.1109/jstars.2023.3296468 article EN cc-by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 2023-01-01

Exercise has been proved to reduce the risk of recurrence and mortality cancer. Emerging evidence indicated that exercise may regulate both systematical local metabolism, immunity other ways. Although role in inhibiting castration-resistant prostate cancer is well established, underlying mechanism remains unclear.Twenty C57BL/6 male mice were used construct CRPC xenograft models randomly divided into group (n = 10) control 10). After exercised with voluntarily wheel running for 21 days,...

10.1016/j.exger.2023.112118 article EN cc-by-nc-nd Experimental Gerontology 2023-02-09

This letter presents the design and implementation of a single-input multiple-independently configurable-output (SIMICO) dynamic voltage scaling supply (DVSS) for multiple-channel electrical stimulation applications. The proposed SIMICO DVSS mainly consists 3-stages charge pump (CP) 16 low-voltage (LV) compatible 5:1 power multiplexers (MUXs). CP is supplied by single VDD capable outputting four levels VDD, 2 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/lssc.2022.3149570 article EN IEEE Solid-State Circuits Letters 2022-01-01

Multifocus image fusion (MFIF), as an efficient way to improve the visual effect of images with partial focus defects, is great significance in field enhancement. According imaging principle lens, we summarize salience priors (VSP) from daily photo scene and two relationships MFIF. Thereby, edge-sensitive model for MFIF presented this study. Supported by VSP, consider correlation between object detection (SOD) MFIF, select former a pre-training task. SOD provides network realistic depth...

10.1109/tcsvt.2022.3229691 article EN IEEE Transactions on Circuits and Systems for Video Technology 2022-12-15
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