253 Result(s)
within
Ying**g Zhang
Computer Science
Artificial Intelligence
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Article
A robust feature matching algorithm based on adaptive feature fusion combined with image superresolution reconstruction
With the development of image feature matching technology, feature matching algorithms based on deep learning have achieved excellent results, but in scenarios with low texture or extreme perspective changes, ...
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Article
TransFGVC: transformer-based fine-grained visual classification
Fine-grained visual classification (FGVC) aims to identify subcategories of objects within the same superclass. This task is challenging owing to high intra-class variance and low inter-class variance. The mos...
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Article
An Empirical Study on Google Research Football Multi-agent Scenarios
Few multi-agent reinforcement learning (MARL) researches on Google research football (GRF) focus on the 11-vs-11 multi-agent full-game scenario and to the best of our knowledge, no open benchmark on this scena...
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Article
CLIP-guided Prototype Modulating for Few-shot Action Recognition
Learning from large-scale contrastive language-image pre-training like CLIP has shown remarkable success in a wide range of downstream tasks recently, but it is still under-explored on the challenging few-shot...
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Article
Open AccessShort-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM)
Accurate sector-based air traffic flow predictions are essential for ensuring the safety and efficiency of the air traffic management (ATM) system. However, due to the inherent spatial and temporal dependencie...
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Article
Open AccessGraphSAGE++: Weighted Multi-scale GNN for Graph Representation Learning
Graph neural networks (GNNs) have emerged as a powerful tool in graph representation learning. However, they are increasingly challenged by over-smoothing as network depth grows, compromising their ability to ...
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Chapter and Conference Paper
Data Augmentation on Problem and Method Sentence Classification Task in Scientific Paper: A Mechanism Analysis Study
Billions of scientific papers lead to the need to identify essential parts of the massive text. Scientific research is an activity from putting forward problems to using methods. To learn the main idea from sc...
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Chapter and Conference Paper
C2FC: Coarse-to-fine Contour-Based Method for Interactive Medical Image Segmentation
Existing contour-based methods for interactive segmentation of medical images have achieved great success. However, these methods neglect the large shape error between the initial contour and the ground truth....
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Chapter and Conference Paper
Arterial Traffic Optimization Algorithm Based on Deep Reinforcement Learning and Green Wave Coordination Control in Complex Lane Queuing Conditions
With the development of transportation, the traditional traffic signal systems being unable to provide dynamic and flexible timing schemes for urban arterial road traffic in complex lane queuing conditions. In...
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Article
SS-SSAN: a self-supervised subspace attentional network for multi-modal medical image fusion
Multi-modal medical image fusion (MMIF) is used to merge multiple modes of medical images for better imaging quality and more comprehensive information, such that enhancing the reliability of clinical diagnosi...
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Article
Open AccessSCRE: special cargo relation extraction using representation learning
The airfreight industry of ship** goods with special handling needs, also known as special cargo, often deals with non-transparent data and outdated technology, resulting in significant inefficiency. A speci...
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Article
CoConGAN: Cooperative contrastive learning for few-shot cross-domain heterogeneous face translation
The inherently uneven informative setting in heterogeneous face images makes heterogeneous face translation challenging for synthesizing the analogous face image which preserves the identity of the input image...
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Article
Parallel Software-Based Self-Testing with Bounded Model Checking for Kilo-Core Networks-on-Chip
Online testing is critical to ensuring reliable operations of the next generation of supercomputers based on a kilo-core network-on-chip (NoC) interconnection fabric. We present a parallel software-based self-...
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Article
A GAN-based Denoising Method for Chinese Stele and Rubbing Calligraphic Image
Chinese calligraphic images have important artistic and historical values. However, subjected to hundreds of years of natural weathering, corrosion and man-made destruction, Chinese calligraphic images inevita...
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Article
Batch Gradient Training Method with Smoothing Group \(L_0\) Regularization for Feedfoward Neural Networks
\(L_0\) L 0 reg...
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Article
An algorithm of nonnegative matrix factorization under structure constraints for image clustering
Nonnegative matrix factorization (NMF) is a crucial method for image clustering. However, NMF may obtain low accurate clustering results because the factorization results contain no data structure information....
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Article
Efficient mining high average-utility itemsets with effective pruning strategies and novel list structure
High utility itemset mining can mine all itemsets that meet the minimum utility threshold set by the decision maker, thus becomes a popular and prominent data-mining technique. High average utility itemset min...
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Article
EDense: a convolutional neural network with ELM-based dense connections
The explosive growth of geospatial data is increasing requirements for automatic and efficient data learning abilities. Many deep learning methods have been widely applied for geospatial data understanding tas...
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Chapter and Conference Paper
Dynamic Momentum for Deep Learning with Differential Privacy
Deep learning models are often incompetent to privacy attacks, resulting in the leakage of private data. Recently, Differentially-Private Stochastic Gradient Descent (DP-SGD) has emerged as a prime method for ...
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Chapter and Conference Paper
Explainable Knowledge Reasoning on Power Grid Knowledge Graph
The smooth operation of the power grid is closely related to the national economy and people’s livelihood. The knowledge graph, as a widely-used technology, has made considerable contributions to power grid di...
