114 Result(s)
within
Computer Science
**-Wei Sun
Chapter
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Chapter and Conference Paper
FDA-PointNet++: A Point Cloud Classification Model Based on Fused Downsampling Strategy and Attention Module
In recent years, the use of deep learning models for point cloud classification and segmentation tasks has increasingly become a hot topic in 3D point cloud research. However, the sparsity and inhomogeneity of...
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Chapter and Conference Paper
Are Graph Embeddings the Panacea?
Graph representation learning has emerged as a machine learning go-to technique, outperforming traditional tabular view of data across many domains. Current surveys on graph representation learning predominant...
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Chapter and Conference Paper
Analysis of Significant Cell Differences Between Cancer Patients and Healthy Individuals
At the end of 2019, a global outbreak of a new coronavirus ravaged the world, and to this day, many people’s bodies are still deeply affected by the virus. In order to find out if there is a correlation betwee...
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Chapter and Conference Paper
Modeling Transitions of Inter-segment Patterns for Time Series Representation
Against the backdrop of technological advancements, we are now equipped to collect and analyze time series data in unparalleled ways, offering significant value across various fields. However, traditional time...
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Chapter and Conference Paper
Spatial-Temporal Transformer with Error-Restricted Variance Estimation for Time Series Anomaly Detection
Due to the intricate dynamics of multivariate time series in cyber-physical system, unsupervised anomaly detection has always been a research hotspot. Common methods are mainly based on reducing reconstruction...
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Chapter and Conference Paper
Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report
Image super-resolution is a common task on mobile and IoT devices, where one often needs to upscale and enhance low-resolution images and video frames. While numerous solutions have been proposed for this prob...
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Chapter and Conference Paper
Multi-modality Contrastive Learning for Sarcopenia Screening from Hip X-rays and Clinical Information
Sarcopenia is a condition of age-associated muscle degeneration that shortens the life expectancy in those it affects, compared to individuals with normal muscle strength. Accurate screening for sarcopenia is ...
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Chapter and Conference Paper
Data Analysis of the Dynamic Monitoring System for Local Scour of Bridge Piers Based on Acoustic Equipment
The local scour of bridge piers has always been the main cause of bridge pier instability and bridge damage by water. In terms of local scour monitoring technology, traditional large-scale survey methods have ...
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Chapter and Conference Paper
Category-Level Regularized Unlabeled-to-Labeled Learning for Semi-supervised Prostate Segmentation with Multi-site Unlabeled Data
Segmenting prostate from MRI is crucial for diagnosis and treatment planning of prostate cancer. Given the scarcity of labeled data in medical imaging, semi-supervised learning (SSL) presents an attractive opt...
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Chapter and Conference Paper
Development of Rural Labor Resource Optimization Platform Based on Spring Boot Technology
With the development of big data and cloud computing technology, the use of digital means to manage information resources has gradually become the mainstream of information processing. The outflow of rural lab...
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Chapter and Conference Paper
Passive Positioning and Filtering Technology Using Relative Height Measurement Information
Under the condition of obtaining the passive measurement angle information and the relative height information of the positioning system and the target, using the least squares algorithm to locate the radiatio...
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Chapter and Conference Paper
Lesion Guided Explainable Few Weak-Shot Medical Report Generation
Medical images are widely used in clinical practice for diagnosis. Automatically generating interpretable medical reports can reduce radiologists’ burden and facilitate timely care. However, most existing appr...
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Chapter and Conference Paper
Facing Changes: Continual Entity Alignment for Growing Knowledge Graphs
Entity alignment is a basic and vital technique in knowledge graph (KG) integration. Over the years, research on entity alignment has resided on the assumption that KGs are static, which neglects the nature of...
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Chapter and Conference Paper
\(\mu \text {KG}\) : A Library for Multi-source Knowledge Graph Embeddings and Applications
This paper presents \(\mu \text {KG}\) μ KG ...
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Chapter and Conference Paper
A Simple and Robust Correlation Filtering Method for Text-Based Person Search
Text-based person search aims to associate pedestrian images with natural language descriptions. In this task, extracting differentiated representations and aligning them among identities and descriptions is a...
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Chapter and Conference Paper
Graph Embeddings for Non-IID Data Feature Representation Learning
Most machine learning models like Random Forest (RF) and Support Vector Machine (SVM) assume that features in the datasets are independent and identically distributed (IID). However, many datasets in the real ...
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Chapter and Conference Paper
Enhancing Document-Level Relation Extraction by Entity Knowledge Injection
Document-level relation extraction (RE) aims to identify the relations between entities throughout an entire document. It needs complex reasoning skills to synthesize various knowledge such as coreferences and...
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Chapter and Conference Paper
Distortion Energy for Deep Learning-Based Volumetric Finite Element Mesh Generation for Aortic Valves
Volumetric meshes with hexahedral elements are generally best for stress analysis using finite element (FE) methods. With recent interests in finite element analysis (FEA) for Transcatheter Aortic Valve Replac...
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Chapter and Conference Paper
HVH: A Lightweight Hash Function Based on Dual Pseudo-Random Transformation
Along with the popularization of RFID technology and wireless sensor network, it has been more and more difficult for common hash-functions to meet the application demands in the Internet of Things. Furthermor...
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Chapter and Conference Paper
Online Adaptive Strategy for Traffic-Light Timing Based on Congestion Pressure
This paper devises a strategy for adjusting automatically the traffic light timing in real time by counting the number of vehicles with detecting devices at both ends of the road. By means of the strategy, bas...
