34 Result(s)
within
Computer Science
Lang-** Zhang
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Article
Open AccessMulti-scale hash encoding based neural geometry representation
Recently, neural implicit function-based representation has attracted more and more attention, and has been widely used to represent surfaces using differentiable neural networks. However, surface reconstructi...
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Article
Open AccessPinning Group Consensus of Multi-agent Systems Under DoS Attacks
In this paper, group consensus is investigated for a class of nonlinear multi-agent systems suffered from the DoS attacks. Firstly, a first-order nonlinear multi-agent system is constructed, which is divided i...
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Article
Online signature verification based on dynamic features from gene expression programming
Gene Expression Programming (GEP) is a powerful evolutionary algorithm with simple, linear and compact chromosomes, which has been applied in many fields to solve a large variety of complex problems such as lo...
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Chapter and Conference Paper
A Physically Feasible Counter-Attack Method for Remote Sensing Imaging Point Clouds
This research introduces an innovative approach to address the vulnerability of deep learning-based point cloud target recognition systems to adversarial sample attacks. Instead of directly tampering with the ...
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Chapter and Conference Paper
Blind Image Quality Assessment Method Based on DeepSA-Net
Blind image quality assessment refers to the accurate prediction of the visual quality of any input image without a reference image. With the rapid growth of the number of images and increasing requirements fo...
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Article
Efficiency of higher education financial resource allocation from the perspective of ‘double first-class’ construction: A three-stage global super slacks-based measure analysis
The allocation of financial resources in higher education has always been a hot topic of concern in academia and society. The measurement and evaluation of the allocation efficiency of higher education financi...
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Article
VAE-CoGAN: Unpaired image-to-image translation for low-level vision
Low-level vision problems, such as single image haze removal and single image rain removal, usually restore a clear image from an input image using a paired dataset. However, for many problems, the paired trai...
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Chapter and Conference Paper
Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers
As an important power transmission facility, the operational stability and safety of ultra high voltage (UHV) power transmission towers are crucial to energy supply and social stability. With the continuous de...
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Chapter and Conference Paper
OCET: One-Dimensional Convolution Embedding Transformer for Stock Trend Prediction
Due to the strong data fitting ability of deep learning, the use of deep learning for quantitative trading has gradually sprung up in recent years. As a classical problem of quantitative trading, Stock Trend P...
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Chapter and Conference Paper
Belief \(\chi ^2\) Divergence-Based Dynamical Complexity Analysis for Biological Systems
Physiological signals contain the information of physical state in healthy systems. Especially, the complexity of dynamical time series data is a valid indicator to measure the pathological states. However, ho...
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Chapter and Conference Paper
Adacket: ADAptive Convolutional KErnel Transform for Multivariate Time Series Classification
While existing multivariate time series classification (MTSC) methods using massive convolutional kernels show promise, they are resource-intensive and also rely on the trial and error design of convolutional ...
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Article
Predicting viewer’s watching behavior and live streaming content change for anchor recommendation
Recently, live streaming services attract millions of users’ participation and billions of capital investment. In each prevailing live streaming platform, there are thousands of anchors who are broadcasting co...
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Chapter and Conference Paper
Information Lossless Multi-modal Image Generation for RGB-T Tracking
Visible-Thermal infrared(RGB-T) multimodal target representation is a key issue affecting RGB-T tracking performance. It is difficult to train a RGB-T fusion tracker in an end-to-end way, due to the lack of an...
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Chapter and Conference Paper
Modular Graph Encoding and Hierarchical Readout for Functional Brain Network Based eMCI Diagnosis
The functional brain network, estimated from functional magnetic resonance imaging (fMRI), have been widely used to capture subtle brain function abnormality and perform diagnosis of brain diseases, such as ea...
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Article
Six application scenarios of artificial intelligence in the precise diagnosis and treatment of liver cancer
The establishment of the precision diagnosis and treatment system and the advent of the digital intelligence era have not only deepened people's understanding of liver cancer but also continuously improved the...
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Article
OCNet: Object Context for Semantic Segmentation
In this paper, we address the semantic segmentation task with a new context aggregation scheme named object context, which focuses on enhancing the role of object information. Motivated by the fact that the categ...
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Article
Discovering communities based on mention distance
Scholarly community detection has important applications in various fields. Current studies rely heavily on structured scholar networks, which have high computational complexity and are challenging to construc...
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Chapter and Conference Paper
An Optimization Method for Calibrating Wireline Conveyance Tension
We propose an optimization model to minimize the gap between predicted conveyance tension and measured field data for friction coefficients calibration. This is an oracle optimization problem since the objecti...
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Chapter and Conference Paper
Multispectral Image Denoising by Multi-scale Spatial-spectral Residual Network
Image denoising algorithm has made impressive progress in the last decades. However, most of them can not be directly applied to noisy multispectral images (MSI) because of complex spectral noise patterns whic...
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Chapter and Conference Paper
Mining Neighbor Frames for Person Re-identification by Global Optimal Tracking
Person re-identification is a challenging task aiming to identify the same person across different cameras. However, most of existing image-based person re-identification methods neglect the spatial and tempo...
