717 Result(s)
within
Jian**n Chen
Computer Science
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Chapter and Conference Paper
Visual-Textual Attention for Tree-Based Handwritten Mathematical Expression Recognition
Handwritten mathematical expression recognition (HMER) has attracted much attention and achieved remarkable progress under the encoder-decoder framework. However, it is still challenging due to complex structu...
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Chapter and Conference Paper
Investigation and Analysis of Corneal Morphology in Young Divers
To investigate the corneal morphology of adolescent diving athletes and analyze the related influencing factors. Corneal topographic maps were taken of 42 young athletes (19 males and 23 females, aged 9–17 yea...
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Chapter and Conference Paper
Improving Handwritten Mathematical Expression Recognition via an Attention Refinement Network
Handwritten mathematical expression recognition (HMER), typically regarding as a sequence-to-sequence problem, has made great progress in recent years, where RNN based models have been widely adopted. Although...
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Chapter and Conference Paper
ePoW Energy-Efficient Blockchain Consensus Algorithm for Decentralize Federated Learning System in Resource-Constrained UAV Swarm
With the proliferation of Unmanned Aerial Vehicles (UAV) and UAV swarms, there has been growing interest in using them for collaborative computing tasks. Blockchain-based Federated learning (BFL) is an excelle...
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Chapter and Conference Paper
Integrate Depth Information to Enhance the Robustness of Object Level SLAM
vSLAM (Visual Simultaneous Localization and Map**) is a fundamental function in various robot applications. With the development of downstream applications, there is an increasing challenge for scene semanti...
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Chapter and Conference Paper
Fake Comment Detection Based on Generative Adversarial Networks
Fake comments are a widespread problem in various online activities. This issue not only impacts the consumer experience and service quality but also makes it difficult to distinguish genuine information from ...
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Chapter and Conference Paper
Users’ Emotional Diffusion and Public Opinion Evolution Under Public Health Emergencies: Taking the Community Group Purchasing on Zhihu as an Example
COVID-19 closures forced community residents to organize daily supply group purchasing for anti-epidemic needs. Public service satisfaction constitutes an important public health emergency governance indicator...
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Chapter and Conference Paper
Interactive Selection Recommendation Based on the Multi-head Attention Graph Neural Network
The click-through rate prediction of users is a critical task in the recommendation system. As a powerful machine learning method, graph neural networks have been favored by scholars to solve the task recently...
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Chapter and Conference Paper
A Blockchain-Enabled Decentralized Federated Learning System with Transparent and Open Incentive and Audit Contracts
Federated learning is an innovative and secure artificial intelligence model that ensures distributed privacy protection. However, FL faces serious challenges such as potential single point failures, lack of t...
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Chapter and Conference Paper
An End-to-End Structure with Novel Position Mechanism and Improved EMD for Stock Forecasting
As a branch of time series forecasting, stock movement forecasting is one of the challenging problems for investors and researchers. Since Transformer was introduced to analyze financial data, many researchers...
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Chapter and Conference Paper
A Novel Interaction Convolutional Network Based on Dependency Trees for Aspect-Level Sentiment Analysis
Aspect-based sentiment analysis aims to identity the sentiment polarity of a given aspect-based word in a sentence. Due to the complexity of sentences in the texts, the models based on the graph neural network...
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Chapter and Conference Paper
TCNet: Texture and Contour-Aware Model for Bone Marrow Smear Region of Interest Selection
Bone marrow smear cell morphology is the quantitative analysis of bone marrow cell images. Due to the cell overlap and adhesion in bone marrow smears, it is essential to select uniformly distributed and clear ...
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Article
Feature subset selection algorithm based on symmetric uncertainty and interaction factor
Since either only one metric is employed or two metrics are adopted and each of them is compared separately to measure redundant features, several existing feature subset selection algorithms cannot obtain the...
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Chapter and Conference Paper
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation
Automatic mainstream hashtag recommendation aims to accurately provide users with concise and popular topical hashtags before publication. Generally, mainstream hashtag recommendation faces challenges in the c...
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Chapter and Conference Paper
Reverse Multidimensional Auction Based Vehicle Selection and Resource Allocation for IoV
Federated Learning (FL) is gaining popularity in the Internet of Vehicles (IoV), which has led to a rise in demand for high-quality communication and computation resources. To address the communication and com...
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Article
FFANet: dual attention-based flow field-aware network for wall identification
Deep learning-based approaches for understanding and analyzing 3D flow field grids have been extensively studied in recent years due to their importance in exploring the physical mechanisms of flow fields. How...
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Article
LCRNet: local cross-channel recalibration network for liver cancer classification based on CT images
Liver cancer is the leading cause of mortality in the world. Over the years, researchers have spent much effort in develo** computer-aided techniques to improve clinicians’ diagnosis efficiency and precision...
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Article
Select and calibrate the low-confidence: dual-channel consistency based graph convolutional networks
Although Graph Convolutional Networks (GCNs) have achieved excellent results in various graph-related tasks, their performance at low label rates is still unsatisfactory. Previous studies in Semi-Supervised Le...
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Article
EnNeRFACE: improving the generalization of face reenactment with adaptive ensemble neural radiance fields
Face reenactment is a critical technology of digital face editing. Lately, the NeRFACE, a face reenactment method based on neural radiance fields, has been proposed, making the reconstruction accuracy of the t...
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Article
SATFace: Subject Agnostic Talking Face Generation with Natural Head Movement
Talking face generation is widely used in education, entertainment, shop**, and other social practices. Existing methods focus on matching the speaker’s mouth shape with the speech content. Still, there is a...
