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Articles by Chenwei Wang
Electrical Engineering and Systems Science > Systems and Control
Automatically recognising a fabric's construction (jersey, twill, satin) is a bottleneck in textile sourcing, where incoming swatches are still typed by hand. Benchmark accuracy suggests the problem is solved, yet rarely survives deployment. On the \numClasses{}-class FabricFlow benchmark we expose three gaps that headline accuracy hides.
Computer Science > Artificial Intelligence
With the rapid development of the Internet of Things, computation intensive directed acyclic graph (DAG) tasks have become increasingly common in cloud-edge-end collaborative environments. However, cloud, edge, and end nodes are highly heterogeneous in computing capacity, network bandwidth, and energy consumption, which makes the efficient scheduling of tasks with complex dependencies an NP-hard problem.
DeepMVP: Deep Learning Models Trained on High-Quality Data Accurately Predict PTM Sites and Variant-Induced Alterations
10.1038/s41592-025-02797-x Post-print yes Deep Learning, Protein Processing, Post-Translational, Humans, Phosphorylation, Computational Biology, Software, Databases, Protein, Proteome informatics, Machine learning, Post-translational modifications, Genomics, Proteomics Wen, Bo; Wang, Chenwei; Li, Kai; et al., "DeepMVP: Deep Learning Models Trained on High-Quality Data Accurately Predict PTM Sites and Variant-Induced Alterations" (2025). Huffington Center on Aging Staff Publications. 56.
Prevalence and Nomogram-Based Prediction Model of Neuropathic Pain Aft
Back to Journals » Journal of Pain Research » Volume 19 Original Research Musculoskeletal Pain/Rehabilitation and Neuropathic Pain Authors Xin Y, Wang C, Li J, Fang X, Huang Z, Bai G, Li W, Zhang W , Zhang C Received 4 September 2025 Accepted for publication 18 January 2026 Published 29 January 2026 Volume 2026:19 Pages 1—13 DOI https://doi.org/10.2147/JPR.S565227 Checked for plagiarism Yes Review by Single anonymous peer review Peer reviewer comments 2 Editor who approved publication:...
DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations - Nature Methods
Abstract Post-translational modifications (PTMs) are critical regulators of protein function, and their disruption is a key mechanism by which missense variants contribute to disease. Accurate PTM site prediction using deep learning can help identify PTM-altering variants, but progress has been limited by the lack of large, high-quality training datasets.
DeepMVP: deep learning models trained on high-quality data accurately predict PTM sites and variant-induced alterations
Post-translational modifications (PTMs) are critical regulators of protein function, and their disruption is a key mechanism by which missense …
Implementation of early mobilization in Post-CABG Patients: A construc
Meng Xiu,1,2 Fei Yang,1,2 Fangfang Yang,2 Chenwei Wang,1,2 Meijie Zhang,2,3 Weiying Zhang2 1School of Medicine, Tongji University, Shanghai, People’s Republic of China; 2Department of Nursing, Shanghai East Hospital, School of Medicine, Tongji University, Shanghai, People’s Republic of China; 3School of Nursing, Suzhou Medical College of Soochow University, Suzhou, People’s Republic of China Correspondence: Weiying Zhang, Department of Nursing, Shanghai East Hospital, School of Medicine,...
Adipose progenitor cell-derived extracellular vesicles suppress macrophage M1 program to alleviate midlife obesity - Nature Communications
Abstract Among different age groups, middle-aged individuals are particularly susceptible to obesity, with a 22% higher risk of all-cause mortality. However, the underlying mechanisms remain unclear. In this study, we identify adipose progenitor cells (APCs) in the white adipose tissue (WAT) of middle-aged subjects as potential causes of midlife obesity.
Analysis and Management of Perivenous Tissue Pain in the Outflow Tract of Arteriovenous Fistulas During Dialysis
Data Availability Statement The data used to support the findings of this study are available from the first author and the corresponding author upon request.
Summary of the Best Evidence for Non‐Pharmacological Management of Sleep Disturbances in Intensive Care Unit Patients
Aim To retrieve, evaluate and summarise the best evidence for non-pharmacological management of sleep disturbances in ICU patients, and to provide basis for clinical nursing practice. Design This study was an evidence summary followed by the evidence summary reporting standard of Fudan University Center for Evidence-based Nursing.
Quantitative Detection Method for Surface Angled Cracks Based on Laser Ultrasonic Full-Field Scanning Data
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Prognosis predictors of hepatocellular carcinoma after hepatectomy following conversion therapy
Keywords Hepatocellular carcinoma Conversion therapy Radical resection Prognosis AFP response Get full text access Log in, subscribe or purchase for full access. References 1. Siegel, R.L. ∙ Miller, K.D. ∙ Wagle, N.S. ... Cancer statistics, 2023 CA Cancer J Clin. 2023; 73:17-48 2. Kulik, L. ∙ El-Serag, H.B. Epidemiology and Management of Hepatocellular Carcinoma Gastroenterology. 2019; 156:477-491.e471 3. Qiu, J. ...
Proteomics Meets Dose Response: A New Paradigm for Deciphering Drug Effects
Publication Date 8-15-2024 DOI 10.1158/0008-5472.CAN-24-2087 PubMedCentral® Posted Date 8-15-2025 PubMedCentral® Full Text Version Author MSS Abstract In a groundbreaking study, Eckert and colleagues introduce DecryptE, an innovative approach to dose-resolved proteomics that significantly advances our understanding of drug effects at the proteomic level.
"PIM1 Promotes Hepatic Conversion by Suppressing Reprogramming-Induced " by Yangyang Yuan, Chenwei Wang et al.
Protein kinase-mediated phosphorylation plays a critical role in many biological processes. However, the identification of key regulatory kinases is still a great challenge. Here, we develop a trans-omics-based method, central kinase inference, to predict potentially key kinases by integrating quantitative transcriptomic and phosphoproteomic data.
An EBV-related CD4 TCR immunotherapy inhibits tumor growth in an HLA-DP5+ nasopharyngeal cancer mouse model
Abstract Adoptive transfer of T cell receptor–engineered T cells (TCR-T) is a promising strategy for immunotherapy against solid tumors. However, the potential of CD4+ T cells in mediating tumor regression has been neglected. Nasopharyngeal cancer is consistently associated with EBV. Here, to evaluate the therapeutic potential of CD4 TCR-T in nasopharyngeal cancer, we screened for CD4 TCRs recognizing EBV nuclear antigen 1 (EBNA1) presented by HLA-DP5.
HspB5 Chaperone Structure and Activity Are Modulated by Chemical-Scale Interactions in the ACD Dimer Interface
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Original Image Number of Different Depressions for SOC
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Figure 6: Ablation Experiments: Feature Visualization under Different...
Context 1 ... of limited SAR training samples. The four configurations depicted in Fig. 5 and Fig. 6 correspond to those described in Table 4 and Table 5. After training the models, we apply them to the testing data to obtain the final features for each class. We then utilize t-SNE to visualize the feature distributions, as illustrated in Fig. 5 and Fig. 6. By comparing four configurations in Fig.
SAR images and corresponding optical images of threeclass targets in...
Context 1 ... our experiments, we use the ground range detected (GRD) data from Sentinel-1 IW mode, which has a resolution of 2.0m × 1.5m. The ships in the dataset have lengths ranging from 92m to 399m and widths ranging from 6mto 65m.Both VV and VH data are utilized in the training, validation, and testing phases of our experiments. Fig. 3 showcases sample SAR images of a three-class target from the OpenSARship dataset.
Figure 2: SAR images and corresponding optical images of targets.
Context 1 ... It consists of SAR images with 1-ft resolution in the X-band, covering a range from 0° to 360°. The dataset includes ten different types of ground targets, such as tanks, rocket launchers, armored personnel carriers, air defense units, and bulldozers. These targets exhibit variations in aspect angles, depression angles, and serial numbers. Fig. 2 shows the SAR and corresponding optical images of these ten target types.
Chenwei Wang's research works
What is this page? This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile. It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible.
You Qin's research works
What is this page? This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile. It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible.
pH/GSH dual-responsive supramolecular nanomedicine for hypoxia-activated combination therapy
pH/GSH dual-responsive supramolecular nanomedicine for hypoxia-activated combination therapy Chang Du, Chenwei Wang, Shu-Heng Jiang, Zelong Li, Yong Yao, Xiangqin Zheng, Yue Ding, Tingting Chen and Huan Yi Abstract The moderate oxygen (O2) supply and uneven distribution of oxygen at the tumor site usually hinder the therapeutic efficacy of hypoxia-activated prodrugs.
Small-sample learning reveals propionylation in determining global protein homeostasis - Nature Communications
Abstract Proteostasis is fundamental for maintaining organismal health. However, the mechanisms underlying its dynamic regulation and how its disruptions lead to diseases are largely unclear. Here, we conduct in-depth propionylomic profiling in Drosophila, and develop a small-sample learning framework to prioritize the propionylation at lysine 17 of H2B (H2BK17pr) to be functionally important. Mutating H2BK17 which eliminates propionylation leads to elevated total protein level in vivo.
An electrochemical chlorpromazine sensor based on gold-copper bimetal synergetic molecularly imprinted interface on acupuncture needle electrode
An electrochemical chlorpromazine sensor based on gold-copper bimetal synergetic molecularly imprinted interface on acupuncture needle electrode Jiandan Chen, Hongying Liu, Chenwei Wang, Kai Fan, Lihua Li, Yuqing Zhang, Fang Lu, Zheng-Zhi Yin and Zhong Lv Abstract Chlorpromazine (CPZ) is a medicine for nervine disease. Measuring CPZ in vivo can assist doctors in evaluating patients’ blood drug concentration and monitoring drug metabolism.
Semi-Supervised SAR ATR Framework with Transductive Auxiliary Segmentation
1. Introduction Synthetic aperture radar (SAR) is an important microwave remote sensing system in military and civil fields, and SAR automatic target recognition (ATR) is one of the most crucial and challenging issues in SAR applications. Recently, many outstanding scholars have proposed diverse deep learning-based methods and achieved remarkable results in SAR ATR applications [1,2,3,4,5].
Model-based analysis uncovers mutations altering autophagy selectivity in human cancer
Abstract Autophagy can selectively target protein aggregates, pathogens, and dysfunctional organelles for the lysosomal degradation. Aberrant regulation of autophagy promotes tumorigenesis, while it is far less clear whether and how tumor-specific alterations result in autophagic aberrance.
Functionalization of inorganic nanomaterials with pillar[n]arenes
Functionalization of inorganic nanomaterials with pillar[n]arenes Pillar[n]arenes, which consisting of hydroquinone units linked by -CH2- bridges at 2,5-positions, are a relatively new class of synthetic macrocycles since 2008. Their facile preparation and flexible modification properties make them ideal stabilizers for inorganic nanomaterials. What’s more, their symmetrical and columnar architectures, very rigid and π-rich cavities endow them rich host-guest properties.
Synthesis and controllable self-assembly of 3D amphiphilic organoplatinum(II) metallacage in water
Synthesis and controllable self-assembly of 3D amphiphilic organoplatinum(II) metallacage in water You have access to this article Please wait while we load your content... Something went wrong. Try again?
Research on Extraction Method of Multiple Narrow Channel Vessel Trajectory Feature in Yangtze River Based on VITS Data
Journal of Advanced Transportation PDF For authorsFor reviewersFor editorsTable of Contents Submit Journal of Advanced Transportation / 2022 / Article Research Article | Open Access Xintong Yan, Jie He, Qiaoqiao Ren, Chunguang Bai, Changjian Zhang, Chenwei Wang, "Research on Extraction Method of Multiple Narrow Channel Vessel Trajectory Feature in Yangtze River Based on VITS Data", Journal of Advanced Transportation, vol. 2022, Article ID 6533223, 17 pages, 2022.
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