647 Result(s)
within
Zhigang **
Computer Science
English
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Article
Agent-based crowd simulation: an in-depth survey of determining factors for heterogeneous behavior
In recent years, the field of crowd simulation has experienced significant advancements, attributed in part to the improvement of hardware performance, coupled with a notable emphasis on agent-based characteri...
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Article
A collaborative cache allocation strategy for performance and link cost in mobile edge computing
Mobile Edge Computing (MEC) represents a novel paradigm dedicated to addressing the challenge of facilitating rapid access to an immense volume of content over mobile networks. However, improper cache placemen...
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Article
Open AccessPhishing behavior detection on different blockchains via adversarial domain adaptation
Despite the growing attention on blockchain, phishing activities have surged, particularly on newly established chains. Acknowledging the challenge of limited intelligence in the early stages of new chains, we...
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Article
Open AccessNoise4Denoise: Leveraging noise for unsupervised point cloud denoising
Existing deep learning-based point cloud denoising methods are generally trained in a supervised manner that requires clean data as ground-truth labels. However, in practice, it is not always feasible to obtai...
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Article
Dual-stage temporal perception network for continuous sign language recognition
Continuous sign language recognition (CSLR) aims to identify a sequence of glosses from a sign language video with only a sentence-level label provided in a weakly supervised way. In sign language videos, the ...
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Article
Locally differentially private frequency distribution estimation with relative error optimization
In this paper, an iterative framework iterUA is designed for publishing frequency distribution with reduced relative error on multidimensional data under LDP. In each iteration step, the optimized user allocation...
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Article
Does Granger causality exist between article usage and publication counts? A topic-level time-series evidence from IEEE Xplore
In this study, employing the IEEE Xplore database as the data source, articles on different topics (keywords) and their usage data generated from January 2011 to December 2020 were collected and analyzed. The ...
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Article
Fast camouflaged object detection via multi-scale feature-enhanced network
The aim of camouflaged object detection (COD) is to identify objects that are hidden or camouflaged in the visual scene. Since camouflaged objects have fuzzy boundaries and are very similar to their surroundin...
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Article
Masked self-supervised ECG representation learning via multiview information bottleneck
In recent years, self-supervised learning-based models have been widely used for electrocardiogram (ECG) representation learning. However, most of the models utilize contrastive learning that strongly depend o...
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Article
Ontology-based text convolution neural network (TextCNN) for prediction of construction accidents
The construction industry suffers from workplace accidents, including injuries and fatalities, which represent a significant economic and social burden for employers, workers, and society as a whole. The exist...
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Article
The generation mechanism of research leadership in international collaboration based on GERGM: a case from the field of artificial intelligence
Conducting an in-depth analysis of 235,746 research papers in the field of artificial intelligence spanning from 2001 to 2020, this study quantified the extent of research leadership in international collabora...
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Article
An improved method for retinal vessel segmentation in U-Net
The utilization of retinal vessel images is prevalent in the diagnosis of numerous diseases, such as chronic vascular diseases, diabetic retinopathy, and glaucoma. Despite the U-Net model's effective performan...
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Article
Multi-level relation learning for cross-domain few-shot hyperspectral image classification
Cross-domain few-shot hyperspectral image classification focuses on learning prior knowledge from a large number of labeled samples from source domains and then transferring the knowledge to the tasks which co...
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Article
Image-only place recognition based on regional aggregating ConvNet features for underground parking lots
Place recognition searches the closest map node to the query node, which is an important task for vehicle localization. Traditional visual place recognition methods for underground parking lots require the dep...
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Article
Self-adaptive SURF for image-to-video matching
Speeded up robust feature (SURF) is one of the most popular feature-based algorithms handling image matching. Compared to emerging deep learning neural network-based image matching algorithms, SURF is much fas...
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Article
Pyramid contract-based network for RGB-T salient object detection
RGB-Thermal (RGB-T) salient object detection (SOD) aims at utilizing RGB and thermal infrared data to segment the most visually attractive object(s) in an image. However, in RGB-T SOD community, how to effecti...
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Article
A Federated Deep Reinforcement Learning-based Low-power Caching Strategy for Cloud-edge Collaboration
In the era of ubiquitous network devices, an exponential increase in content requests from user equipment (UE) calls for optimized caching strategies within a cloud-edge integration. This approach is critical ...
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Article
Optics-driven drone
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Chapter and Conference Paper
DiffMoCa: Diffusion Model Based Multi-modality Cut and Paste
The Multi-mOdality Cut and pAste (MoCa) method cuts data from other frames and pastes it onto the current training data frame to increase the number of training object samples. However, the samples used by MoC...
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Chapter and Conference Paper
FlashViT: A Flash Vision Transformer with Large-Scale Token Merging for Congenital Heart Disease Detection
Congenital heart disease (CHD) is the most common congenital malformation and imaging examination is an important means to diagnose it. Currently, deep learning-based methods have achieved remarkable results i...
