69 Result(s)
within
Junwen **ao
Computer Science
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Article
HyperMatch: long-form text matching via hypergraph convolutional networks
Semantic text matching plays a vital role in diverse domains, such as information retrieval, question answering, and recommendation. However, longer texts present challenges, including noise, long-range depend...
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Article
PANetW: PANet with wider receptive fields for object detection
PANet is widely used in various object detection tasks due to its powerful feature expression ability. However, PANet’s performance in complex scenarios is subpar, with frequent object omission or misidentific...
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Article
A multimodal attention-fusion convolutional neural network for automatic detection of sleep disorders
Sleep is essential for human physical and mental health. Sleep disorders are a significant threat to human health, and a large number of people in the world suffer from sleep disorders. Effective detection of ...
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Article
Doubly robust estimation of optimal treatment regimes for survival data using an instrumental variable
In survival contexts, substantial literature exists on estimating optimal treatment regimes, where treatments are assigned based on personal characteristics to maximize the survival probability. These methods ...
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Article
Research and implementation of adaptive stereo matching algorithm based on ZYNQ
Stereo matching is an important method in computer vision for simulating human binocular vision to acquire spatial distance information. Implementing high-precision and real-time stereo-matching algorithms on ...
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Chapter and Conference Paper
Aluminum Defect Detection Based on Weighted Feature Fusion Mechanism
In the detection of defects on the surface of aluminum materials, such as jet stream and scratch. These defects have the problem of background similarity of different sizes, which brings difficulties and chall...
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Chapter and Conference Paper
Training Methods of Innovative Talents in Medical Imaging Informatics Under the Background of New Engineering
It is crucial to cultivate the innovative ability of graduate students under the background of new engineering. In this article, we recommend training students’ innovative ability from three aspects. Firstly, ...
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Chapter and Conference Paper
Enhancing Database Principles Teaching with ChatGPT-Like Language Models
This paper introduces a cutting-edge framework for Database Principles teaching, leveraging a ChatGPT-like language model to enhance learning experiences. It surpasses traditional teaching methods by offering ...
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Chapter and Conference Paper
Weakly-Supervised Grounding for VQA with Dual Visual-Linguistic Interaction
Visual question answer (VQA) grounding, aimed at locating the visual evidence associated with the answers while answering questions, has attracted increasing research interest. To locate the evidence, most exi...
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Chapter and Conference Paper
A Heuristic Method for Data Allocation and Task Scheduling on Heterogeneous Multiprocessor Systems Under Memory Constraints
Computing workflows in heterogeneous multiprocessor systems are often depicted as directed acyclic graphs (DAGs) comprising tasks and data blocks. These elements represent computational modules and their inter...
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Chapter and Conference Paper
MS TextSpotter: An Intelligent Instance Segmentation Scheme for Semantic Scene Text Recognition in Asian Social Networks
Text detection and recognition in natural scenes is an im- important task in computer vision. However, most of the texts in natural scenes are curved, and the text background is complex and diverse. In recent ...
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Article
Multi-start local search algorithm based on a novel objective function for clustering analysis
Clustering is the process of partitioning data into different clusters with the goal of minimizing the difference of objects within each cluster, where the commonly used evaluation function is defined as the s...
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Article
Constellation sha** optimization for nonlinearity mitigation in CAP UVLC system
In the sixth-generation communication (6G), wireless communication will cover not only conventional air links but also underwater links. Underwater visible light communication (UVLC) is an expected technique t...
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Article
A novel rule generation and activation method for extended belief rule-based system based on improved decision tree
Among many classifiers applied to classification problems, the extended belief rule-based (EBRB) system is a powerful tool with the ability to handle both qualitative and quantitative information under uncerta...
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Chapter and Conference Paper
CMM-Based Cooperative Control Strategy of Supernumerary Robotic Limbs for Human Motion
The Supernumerary Robotic Limbs (SRL) have been proven to cooperate with the wearer to perform tasks in manufacturing domains such as aircraft assembly, mainly by providing support to the wearer through physic...
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Chapter and Conference Paper
Haptic Feedback Research of Human-Computer Interaction in Human-Machine Shared Control Context of Smart Cars
Since 2007, when the world's first self-driving car was tested on real roads, smart cars have gradually become the main direction of automotive development. Nowadays, with the development of smart car technolo...
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Chapter and Conference Paper
MMpedia: A Large-Scale Multi-modal Knowledge Graph
Knowledge graphs serve as crucial resources for various applications. However, most existing knowledge graphs present symbolic knowledge in the form of natural language, lacking other modal information, e.g., ...
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Article
TEDT: Transformer-Based Encoding–Decoding Translation Network for Multimodal Sentiment Analysis
Multimodal sentiment analysis is a popular and challenging research topic in natural language processing, but the impact of individual modal data in videos on sentiment analysis results can be different. In th...
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Chapter and Conference Paper
Transformer-Based Cross-Modal Recipe Embeddings with Large Batch Training
Cross-modal recipe retrieval aims to exploit the relationships and accomplish mutual retrieval between recipe images and texts, which is clear for human but arduous to formulate. Although many previous works e...
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Article
Multi-task deep learning model based on hierarchical relations of address elements for semantic address matching
Address matching, which aims to match unstructured addresses with standard addresses in an address database, is a key part of geocoding. The core problem of address matching corresponds to text matching in nat...
