89 Result(s)
within
Chapter
Conference Paper
Yi**ang Chen
Computer Communication Networks
Image Processing and Computer Vision
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Chapter and Conference Paper
Evolving Epidemic Management Rules Using Deep Neuroevolution: A Novel Approach to Inspection Scheduling and Outbreak Minimization
In epidemic management, the unpredictable dynamics of outbreaks, the constraints of available resources, and the complexity of variable interactions pose a significant challenge in designing effective manageme...
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Chapter and Conference Paper
A Group Genetic Algorithm for Energy-Efficient Resource Allocation in Container-Based Clouds with Heterogeneous Physical Machines
Containers are quickly gaining popularity in cloud computing environments due to their scalable and lightweight characteristics. However, the problem of Resource Allocation in Container-based clouds (RAC) is m...
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Chapter and Conference Paper
Robust Unsupervised Super-Resolution of Infant MRI via Dual-Modal Deep Image Prior
Magnetic resonance imaging (MRI) is commonly used for studying infant brain development. However, due to the lengthy image acquisition time and limited subject compliance, high-quality infant MRI can be challe...
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Chapter and Conference Paper
Impact of Fidelity and Robustness of Machine Learning Explanations on User Trust
EXplainable machine learning (XML) has recently emerged as a promising approach to address the inherent opacity of machine learning (ML) systems by providing insights into their reasoning processes. This paper...
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Chapter and Conference Paper
Dynamic Path Planning Based on Traffic Flow Prediction and Traffic Light Status
Traffic flow prediction and path planning are crucial components of effective intelligent transportation systems research. The intelligent transportation system can optimize vehicle driving routes by utilizing...
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Chapter and Conference Paper
Genetic Programming with Adaptive Reference Points for Pareto Local Search in Many-Objective Job Shop Scheduling
Genetic Programming (GP) is a well-known technique for generating dispatching rules for scheduling problems. A simple and cost-effective local search technique for many-objective combinatorial optimization pro...
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Chapter and Conference Paper
GB-CosFace: Rethinking Softmax-Based Face Recognition from the Perspective of Open Set Classification
State-of-the-art face recognition methods typically take the multi-classification pipeline and adopt the softmax-based loss for optimization. Although these methods have achieved great success, the softmax-bas...
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Chapter and Conference Paper
Ethical Concerns of COVID-19 Contact Tracing: A Narrative Review
Contact tracing has been widely adopted during COVID-19 to curb the spread of infection. Despite its effectiveness, ethical issues abound and many people are not willing to use it. Toward understanding the eth...
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Chapter and Conference Paper
MCSketch: An Accurate Sketch for Heavy Flow Detection and Heavy Flow Frequency Estimation
Accurately finding heavy flows in data streams is challenging owing to limited memory availability. Prior algorithms have focused on accuracy in heavy flow detection but cannot provide the frequency of a heavy...
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Chapter and Conference Paper
Fake News Detection Based on the Correlation Extension of Multimodal Information
Online social media is characterized by a large number of users that creates conditions for large-scale news generation. News in multimodal form (images and text) often has a serious negative impact. Existing ...
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Chapter and Conference Paper
Robust Human Matting via Semantic Guidance
Automatic human matting is highly desired for many real applications. We investigate recent human matting methods and show that common bad cases happen when semantic human segmentation fails. This indicates th...
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Chapter and Conference Paper
PS-NeRF: Neural Inverse Rendering for Multi-view Photometric Stereo
Traditional multi-view photometric stereo (MVPS) methods are often composed of multiple disjoint stages, resulting in noticeable accumulated errors. In this paper, we present a neural inverse rendering method ...
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Chapter and Conference Paper
A Survey of Domain Generalization-Based Face Anti-spoofing
In recent years, remarkable research attention has been attracted to improve the generalization ability of face anti-spoofing methods, and domain generalization techniques have been widely exploited for adapti...
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Chapter and Conference Paper
PM2.5 Concentration Prediction Based on mRMR-XGBoost Model
Air pollution is one of the main environmental pollution, in which air pollution component prediction is an important problem. At present, there have been many studies using machine learning methods to predict...
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Chapter and Conference Paper
Survey on Deep Learning Based Fusion Recognition of Multimodal Biometrics
We take multimodal as a new research paradigm. This research paradigm is based on the premise that all human interactions with the outside world required the support of multimodal sensory systems. Deep learnin...
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Chapter and Conference Paper
Are Graph Neural Network Explainers Robust to Graph Noises?
With the rapid deployment of graph neural networks (GNNs) based techniques in a wide range of applications such as link prediction, community detection, and node classification, the explainability of GNNs beco...
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Chapter and Conference Paper
Does a Compromise on Fairness Exist in Using AI Models?
Artificial Intelligence (AI) has been increasingly used to assist decision making in different domains. Multiple parties are usually affected by decisions in decision making, e.g. decision-maker and people aff...
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Chapter and Conference Paper
Few-Shot Single-View 3D Reconstruction with Memory Prior Contrastive Network
3D reconstruction of novel categories based on few-shot learning is appealing in real-world applications and attracts increasing research interests. Previous approaches mainly focus on how to design shape prio...
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Chapter and Conference Paper
Dynamic Bus Holding Control Using Spatial-Temporal Data – A Deep Reinforcement Learning Approach
This paper proposes a deep reinforcement learning (DRL) approach that dynamically determines the dispatching of bus services at the starting bus stop for a high-frequency bus service line. Most previous studie...
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Chapter and Conference Paper
A Load Forecasting Method of Power Grid Host Based on SARIMA-GRU Model
With the continuous development of intelligent power grid, how to boost the prediction ability of the future operating mode of information equipment and set the dynamic provision for prediction intervals to ad...
