Search Results - "Yang, Mingqiang"
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Improvement of Generalization Ability of Deep CNN via Implicit Regularization in Two-Stage Training Process
Published in IEEE access (01-01-2018)“…Optimization of deep learning is no longer an imminent problem, due to various gradient descent methods and the improvements of network structure, including…”
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2
A Full Stage Data Augmentation Method in Deep Convolutional Neural Network for Natural Image Classification
Published in Discrete dynamics in nature and society (2020)“…Nowadays, deep learning has achieved remarkable results in many computer vision related tasks, among which the support of big data is essential. In this paper,…”
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3
FOXO3a-driven miRNA signatures suppresses VEGF-A/NRP1 signaling and breast cancer metastasis
Published in Oncogene (28-01-2021)“…Metastasis remains the major obstacle to improved survival for breast cancer patients. Downregulation of FOXO3a transcription factor in breast cancer is…”
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4
PAC-Bayesian framework based drop-path method for 2D discriminative convolutional network pruning
Published in Multidimensional systems and signal processing (01-07-2020)“…Deep convolutional neural networks (CNNs) have demonstrated its extraordinary power on various visual tasks like object detection and classification. However,…”
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Novel Folded-PCA for improved feature extraction and data reduction with hyperspectral imaging and SAR in remote sensing
Published in ISPRS journal of photogrammetry and remote sensing (01-07-2014)“…As a widely used approach for feature extraction and data reduction, Principal Components Analysis (PCA) suffers from high computational cost, large memory…”
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6
β-Catenin-CCL2 feedback loop mediates crosstalk between cancer cells and macrophages that regulates breast cancer stem cells
Published in Oncogene (30-09-2021)“…Breast cancer is the most frequently diagnosed cancer among women worldwide. Though advances in diagnosis and treatment have prolonged overall survival (OS)…”
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7
You watch once more: a more effective CNN architecture for video spatio-temporal action localization
Published in Multimedia systems (01-02-2024)“…The task of spatio-temporal action localization (STAL) needs to detect the action and position of individuals in the scene. Many works cannot model…”
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Tumor-associated macrophages promote epithelial–mesenchymal transition and the cancer stem cell properties in triple-negative breast cancer through CCL2/AKT/β-catenin signaling
Published in Cell communication and signaling (17-06-2022)“…Abstract Background Triple-negative breast cancer (TNBC) is a highly aggressive subtype of breast cancer with poor prognosis and limited treatment. As a major…”
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9
Detection of the Deep-Sea Plankton Community in Marine Ecosystem with Underwater Robotic Platform
Published in Sensors (Basel, Switzerland) (10-10-2021)“…Variations in the quantity of plankton impact the entire marine ecosystem. It is of great significance to accurately assess the dynamic evolution of the…”
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10
CLMIP: cross-layer manifold invariance based pruning method of deep convolutional neural network for real-time road type recognition
Published in Multidimensional systems and signal processing (2021)“…Recently, deep learning based models have demonstrated the superiority in a variety of visual tasks like object detection and instance segmentation. In…”
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11
Organic microstructure-induced hierarchically porous g-C3N4 photocatalyst
Published in Science China materials (01-08-2023)“…It is necessary to construct hierarchically porous photocatalysts to ensure high light absorption and electrochemical kinetics in photocatalysis. Carbon…”
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12
Resource Allocation for UAV-RIS-Assisted NOMA-Based URLLC Systems
Published in Drones (Basel) (01-07-2024)“…This work focuses on maximizing the sum rate of ultra-reliable low-latency communication (URLLC) systems by leveraging unmanned aerial vehicle-mounted…”
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13
A Real-Time Vehicle Speed Prediction Method Based on a Lightweight Informer Driven by Big Temporal Data
Published in Big data and cognitive computing (01-09-2023)“…At present, the design of modern vehicles requires improving driving performance while meeting emission standards, leading to increasingly complex power…”
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14
Generic wavelet‐based image decomposition and reconstruction framework for multi‐modal data analysis in smart camera applications
Published in IET computer vision (01-10-2020)“…Effective acquisition, analysis and reconstruction of multi‐modal data such as colour and multi‐/hyper‐spectral imagery is crucial in smart camera…”
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15
Integrative Analysis of DNA Methylation and Transcriptome Identifies a Predictive Epigenetic Signature Associated With Immune Infiltration in Gliomas
Published in Frontiers in cell and developmental biology (31-05-2021)“…Glioma is the most common primary brain tumor with poor prognosis and high mortality. The purpose of this study was to use the epigenetic signature to predict…”
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16
FOXC1 Knockdown Reverses Gefitinib Resistance in Non-small Cell Lung Cancer
Published in Zhongguo fei ai za zhi (20-08-2021)“…Lung cancer is the malignant tumor with the highest incidence and mortality in China, among which non-small cell lung cancer (NSCLC) accounts for about 80%…”
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17
Iris recognition based on a novel multiresolution analysis framework
Published in 2010 IEEE International Conference on Image Processing (01-09-2010)“…In this paper, we proposed an efficient multiresolution decomposition framework for iris texture feature extraction, which has superior directionality and…”
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Conference Proceeding -
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A triple-thresholds pavement crack detection method leveraging random structured forest
Published in Construction & building materials (10-12-2020)“…[Display omitted] •A random structured forest is used to generate crack score map.•A triple-thresholds method is developed to detect crack from crack score…”
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19
Non-Orthogonal Random Access (NORA) in Large Cellular Networks
Published in IEEE communications letters (01-03-2023)“…Non-orthogonal random access (NORA) is promising to alleviate random access (RA) collision and increase RA throughout. However, the application of NORA in…”
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Application of complete ensemble empirical mode decomposition based multi-stream informer (CEEMD-MsI) in PM2.5 concentration long-term prediction
Published in Expert systems with applications (01-07-2024)“…Nowadays, air pollution has become one of the most serious environmental problems facing humanity and an inescapable obstacle limiting the sustainable…”
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