Search Results - "Li, Ruihui"
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Effects of acid-based fracturing fluids with variable hydrochloric acid contents on the microstructure of bituminous coal: An experimental study
Published in Energy (Oxford) (01-04-2022)“…Acid based fracturing fluid (AFF) with appropriate hydrochloric acid (HCl) content is not only conducive to the exploitation of coalbed methane (ECBM), but…”
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Inferring RNA-binding protein target preferences using adversarial domain adaptation
Published in PLoS computational biology (01-02-2022)“…Precise identification of target sites of RNA-binding proteins (RBP) is important to understand their biochemical and cellular functions. A large amount of…”
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3
Clustering of Short Texts Based on Dynamic Adjustment for Contrastive Learning
Published in IEEE access (2022)“…Faced with the large amount of unlabeled short text data appearing on the Internet, it is necessary to categorize them using clustering that can divide text…”
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A New Method for Deformation Monitoring of Structures by Precise Point Positioning
Published in Remote sensing (Basel, Switzerland) (01-12-2023)“…Although deformations are mostly insignificant, they can be catastrophic when accumulated to certain amounts. Precise point positioning (PPP) can work with one…”
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Association between oxidative balance score and abdominal aortic calcification among middle-aged and elderly population
Published in BMC cardiovascular disorders (08-10-2024)“…The Oxidative Balance Score (OBS) was created to evaluate an individual's overall antioxidant status. The objective of this study was to examine the…”
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Associations Between Life's Essential 8 and Abdominal Aortic Calcification Among Middle-Aged and Elderly Populations
Published in Journal of the American Heart Association (19-12-2023)“…Abdominal aortic calcification (AAC) is an independent risk factor for cardiovascular disease. We aim to examine the associations between Life's Essential 8…”
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DREAMER: a computational framework to evaluate readiness of datasets for machine learning
Published in BMC medical informatics and decision making (04-06-2024)“…Machine learning (ML) has emerged as the predominant computational paradigm for analyzing large-scale datasets across diverse domains. The assessment of…”
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A Hybrid Character Recognition Approach Using Fuzzy Logic and Stroke Bayesian Program Learning With Naïve Bayes in Industrial Environments
Published in IEEE access (2020)“…Automated character recognition is critical for reading and tracking data in a variety of fields. It is particularly challenging in industrial settings since…”
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PointAugment: An Auto-Augmentation Framework for Point Cloud Classification
Published in 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2020)“…We present PointAugment, a new auto-augmentation framework that automatically optimizes and augments point cloud samples to enrich the data diversity when we…”
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Conference Proceeding -
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PU-GAN: A Point Cloud Upsampling Adversarial Network
Published in 2019 IEEE/CVF International Conference on Computer Vision (ICCV) (01-10-2019)“…Point clouds acquired from range scans are often sparse, noisy, and non-uniform. This paper presents a new point cloud upsampling network called PU-GAN 1 ,…”
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Conference Proceeding -
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Point Cloud Upsampling via Disentangled Refinement
Published in 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (01-06-2021)“…Point clouds produced by 3D scanning are often sparse, non-uniform, and noisy. Recent upsampling approaches aim to generate a dense point set, while achieving…”
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Conference Proceeding -
12
Inferring RNA-binding protein target preferences using adversarial domain adaptation
Published in PLoS computational biology (01-02-2022)“…Precise identification of target sites of RNA-binding proteins (RBP) is important to understand their biochemical and cellular functions. A large amount of…”
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Journal Article -
13
Coupling Effect of Temperature, Gas, and Viscoelastic Surfactant Fracturing Fluid on the Microstructure and its Fractal Characteristics of Deep Coal
Published in Energy & fuels (02-12-2021)“…The study of the microstructure evolution law of coal in a natural reservoir environment for the extraction of coalbed methane mining (ECBM), especially deep…”
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14
Mechanical properties and failure characteristics of supercritical carbon dioxide soak in water-bearing coal rocks
Published in Energy (Oxford) (01-01-2024)“…Water has an important influence on the mechanical properties of coal rock during CO2 sequestration. In this paper, uniaxial and true triaxial mechanical tests…”
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15
Coupling Effect of Temperature, Gas, and Viscoelastic Surfactant Fracturing Fluid on the Chemical Structure of Deep Coal: An Experimental Study
Published in Energy & fuels (07-04-2022)“…The chemical structure of coal has an important influence on coalbed methane mining. Through Fourier transform infrared (FTIR) and Raman analysis of coal…”
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A Rotation-Invariant Framework for Deep Point Cloud Analysis
Published in IEEE transactions on visualization and computer graphics (01-12-2022)“…Recently, many deep neural networks were designed to process 3D point clouds, but a common drawback is that rotation invariance is not ensured, leading to poor…”
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AWDepth: Monocular Depth Estimation for Adverse Weather via Masked Encoding
Published in IEEE transactions on industrial informatics (01-09-2024)“…Monocular depth estimation has made considerable advances under clear weather conditions. However, how to learn accurate scene depth under rain and fog…”
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Point Set Self-Embedding
Published in IEEE transactions on visualization and computer graphics (01-07-2023)“…This work presents an innovative method for point set self-embedding, that encodes the structural information of a dense point set into its sparser version in…”
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DreamStone: Image as a Stepping Stone for Text-Guided 3D Shape Generation
Published in IEEE transactions on pattern analysis and machine intelligence (01-12-2023)“…This paper presents a new text-guided 3D shape generation approach DreamStone that uses images as a stepping stone to bridge the gap between the text and shape…”
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DNF-Net: A Deep Normal Filtering Network for Mesh Denoising
Published in IEEE transactions on visualization and computer graphics (01-10-2021)“…This article presents a deep normal filtering network, called DNF-Net, for mesh denoising. To better capture local geometry, our network processes the mesh in…”
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