237 Result(s)
within
Zhe** Yu
Computer Science
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Article
Retraction Note: Virtual reality of recognition technologies of the improved contour coding image based on level set and neural network models
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Article
Emotion-matched in-vehicle assistants: an exploration in regulating drivers' incidental emotions and enhancing takeover performance and situational awareness
In conditional autonomous driving, drivers are prone to experiencing incidental emotions during non-driving tasks, which are unrelated to driving decisions but may have negative effects on drivers' takeover pe...
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Article
An improved and efficient coercion-resistant measure for electronic voting system
The integrity of electronic voting systems is critical in safeguarding the democratic process worldwide. This study addresses the twin challenges of bribery and coercion that undermine most existing electronic...
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Article
Low-resolution Kramers-Kronig detection system with error-feedback noise sha**
In this paper, we investigated the effects of error-feedback noise sha** (EFNS) on a low-resolution Kramers-Kronig (KK) detection system for the first time. Both 16-ary quadrature amplitude modulation (16-QA...
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Article
A Cognitively Inspired Multi-granularity Model Incorporating Label Information for Complex Long Text Classification
Because the abstracts contain complex information and the labels of abstracts do not contain information about categories, it is difficult for cognitive models to extract comprehensive features to match the co...
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Article
Multimodal sentiment analysis based on cross-instance graph neural networks
Owing to the diversity of social media information, enhancing the accuracy of sentiment analysis for social media necessitates a comprehensive understanding of text and image information. Observing multimodal ...
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Article
Adaptive multi-information distillation network for image dehazing
Image dehazing is a challenging low-level vision task that estimates potentially haze-free images from hazy images. In recent years, convolutional neural network-based methods have achieved impressive results ...
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Article
Open AccessA knowledge-graph based text summarization scheme for mobile edge computing
As the demand for edge services intensifies, text, being the most common type of data, has seen a significant expansion in data volume and an escalation in processing complexity. Furthermore, mobile edge compu...
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Article
Enhancing low-resource cross-lingual summarization from noisy data with fine-grained reinforcement learning
Cross-lingual summarization (CLS) is the task of generating a summary in a target language from a document in a source language. Recently, end-to-end CLS models have achieved impressive results using large-sca...
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Chapter and Conference Paper
Multi-modal Adapter for Medical Vision-and-Language Learning
Recently, medical vision-and-language learning has attracted great attention from biomedical communities. Thanks to the development of large pre-trained models, the performances on these medical multi-modal le...
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Article
Integrating grid features and geometric coordinates for enhanced image captioning
The objective of image captioning is to provide precise descriptions of depicted objects and their relationships. To perform this task, previous studies have mainly relied on region features or a combination o...
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Chapter and Conference Paper
Feature-Fusion-Based Haze Recognition in Endoscopic Images
Haze generated during endoscopic surgeries significantly obstructs the surgeon’s field of view, leading to inaccurate clinical judgments and elevated surgical risks. Identifying whether endoscopic images conta...
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Chapter and Conference Paper
An Efficient Momentum Framework for Face-Voice Association Learning
Cross-modal face-voice association is an active field that utilizes biometric features for cross-modal information retrieval. The primary approach for addressing this task involves utilizing contrastive learni...
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Chapter and Conference Paper
Generating Type-Related Instances and Metric Learning to Overcoming Language Priors in VQA
Visual Question Answering (VQA) is a multimodal task that integrates computer vision and natural language processing. It poses a challenge in the field due to language prior, which is influenced by the dataset...
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Chapter and Conference Paper
An Anomaly Detection Framework for Propagation Networks Leveraging Deep Learning
In the Internet era, communication networks are endless, and all kinds of communication anomalies are also dazzling, so it becomes especially important to detect anomalies in social network communication. Grap...
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Chapter and Conference Paper
Research on Feature Selection Algorithm of Energy Curve
Energy analysis attack is a side channel attack, which collects and analyzes the power leakage information in the operation process of cryptographic chip, and then recovers the correct key. In the process of e...
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Chapter and Conference Paper
Chinese-Vietnamese Cross-Lingual Event Causality Identification Based on Syntactic Graph Convolution
The Chinese-Vietnamese cross-lingual event causality identification aims to identify the cause and effect events from the news text describing the event information and present them in a structured form. The e...
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Article
The improved method in fabric image classification using convolutional neural network
Wool fabric is an important material in the weaving sector despite its disadvantages, such as the difficulty of classifying and storing pattern information and identifying when this information needs to be reu...
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Chapter and Conference Paper
Learning Temporal Graph Representation via Memory-Aware Autoencoder
Representation learning over temporal graphs has garnered significant attention from researchers due to the prevalence of real-world graphs that naturally evolve over time. However, some existing methods that ...
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Chapter and Conference Paper
Cross-Lingual Speaker Transfer for Cambodian Based on Feature Disentangler and Time-Frequency Attention Adaptive Normalization
Given the scarcity of a multi-speaker corpus in Cambodian, conventional methods have shown poor performance in Cambodian speaker tranfer. On the other hand, simply using Chinese-English rich resources to expan...
