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225 Result(s)
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Yan** Sun
Artificial Intelligence
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Article
Nia-GNNs: neighbor-imbalanced aware graph neural networks for imbalanced node classification
It has been proven that Graph Neural Networks focus more on the majority class instances and ignore minority class instances when the class distribution is imbalanced. To address the class imbalance problems o...
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Article
GaitASMS: gait recognition by adaptive structured spatial representation and multi-scale temporal aggregation
Gait recognition is one of the most promising video-based biometric technologies. The edge of silhouettes and motion are the most informative feature and previous studies have explored them separately and achi...
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Article
Semantic Image Matting: General and Specific Semantics
Although conventional matting formulation can separate foreground from background in fractional occupancy which can be caused by highly transparent objects, complex foreground (e.g., net or tree), and objects ...
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Chapter and Conference Paper
Disease Recognition of Plants Leaves in Northern Shaanxi Based on Siamese Networks
Crop disease image recognition is crucial for early detection and prevention of diseases in agriculture. With the development of deep learning technology, accurate identification can be achieved with large dat...
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Chapter and Conference Paper
A Sampling Method for Performance Predictor Based on Contrastive Learning
Performance predictors are commonly dedicated to mitigating the substantial resource consumption of neural architecture search. Nevertheless, existing performance predictors are typically constructed based on ...
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Chapter and Conference Paper
Research on Regulation Oriented Decentralized Oracle Machine
As a new computing mode, blockchain has been applied in various fields and urgently needs effective regulation. However, due to the lack of an effective information-sharing mechanism, regulating blockchain fac...
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Chapter and Conference Paper
A Distributed, Penetrative and All-Dimensional Supervision Architecture for Consortium Blockchain
Consortium blockchain has been used widely in the field of bank, insurance, securities, commerce association and enterprise. However, the supervision for consortium blockchain faces serious challenges: Firstly...
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Chapter and Conference Paper
StrongOC-SORT: Make Observation-Centric SORT More Robust
Multi-object tracking (MOT) becomes a challenging task as non-linear motion and occlusion cause problems such as contaminated appearance, inaccurate positions and disturbed tracks. Despite great progress made ...
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Chapter
Evolutionary Neural Network Architecture Search
Deep Neural Networks (DNNs) have been remarkably successful in numerous scenarios of machine learning. However, the typical design for DNN architectures is manual, which highly relies on the domain knowledge a...
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Article
Manifold-constrained Gaussian process inference for time-varying parameters in dynamic systems
Identification of parameters in ordinary differential equations (ODEs) is an important and challenging task when modeling dynamic systems in biomedical research and other scientific areas, especially with the ...
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Article
IMSFNet: integrated multi-source feature network for salient object detection
Multi-scale context features are conducive to image understanding, so it plays an important role in salient object detection (SOD) tasks, and contextual information-based SOD methods have achieved fine perform...
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Article
Structured products dynamic hedging based on reinforcement learning
In the Black–Scholes model proposed in 1973, an investor can use a continuously rebalanced dynamic strategy to hedge the risk of a certain option, assuming that the underlying asset’s price is subject to geome...
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Article
Combining detailed appearance and multi-scale representation: a structure-context complementary network for human pose estimation
Human pose estimation is a fundamental and challenging task in the field of computer vision. Hard scenarios, such as occlusion and background confusion, set a great challenge for high-level feature representat...
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Article
HRNet- and PSPNet-based multiband semantic segmentation of remote sensing images
High-resolution remote sensing images have become mainstream remote sensing data, but there is an obvious "salt and pepper phenomenon" in the existing semantic segmentation methods of high-resolution remote se...
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Article
Neural network with absent minority class samples and boundary shifting for imbalanced data classification
Neural networks handling data imbalance heavily rely on resampling or reweighting strategies. However, existing resampling and reweighting approaches mainly focus on rebalancing known data, which ignore the es...
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Article
Asymmetric ranging algorithm based on signal emergence angle for underwater wireless sensor network
In underwater wireless sensor networks, distance-related localisation technologies rely on acquiring distance information between nodes to complete node location. Currently, ranging algorithms generally have t...
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Article
Social-RippleNet: Jointly modeling of ripple net and social information for recommendation
To alleviate the data sparseness and cold-start problem of recommender systems and improve the accuracy, researchers tend to use side information to improve recommendation performance. Previous studies have in...
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Article
Discrepant mutual learning fusion network for unsupervised domain adaptation on person re-identification
Existing methods mainly assign pseudo labels by clustering algorithms to solve the problems in domain adaptive pedestrian re-identification caused by unlabeled target domain data and scene style differences be...
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Book
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Chapter
Evolutionary Computation
EC is a class of nature-inspired algorithms that maintains a population of candidate solutions (individuals) and evolves toward the best answer(s). It has been frequently used to solve difficult real-world opt...
