191 Result(s)

Article

Dynamic multi-label feature selection algorithm based on label importance and label correlation

Multi-label distribution is a popular direction in current machine learning research and is relevant to many practical problems. In multi-label learning, samples are usually described by high-dimensional featu...

Weiliang Chen, **ao Sun in International Journal of Machine Learning and Cybernetics (2024)

Article

SS-CRE: A Continual Relation Extraction Method Through SimCSE-BERT and Static Relation Prototypes

Continual relation extraction aims to learn new relations from a continuous stream of data while avoiding forgetting old relations. Existing methods typically use the BERT encoder to obtain semantic embeddings...

**guang Chen, Suyue Wang, Lili Ma, Bo Yang, Kaibing Zhang in Neural Processing Letters (2024)

Article

FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning

Federated learning (FL) is a promising approach for learning a model from data distributed on massive clients without exposing data privacy. It works effectively in the ideal federation where clients share hom...

Hong Lin, Lidan Shou, Ke Chen, Gang Chen, Sai Wu in Data Science and Engineering (2024)

Article

Temporally Consistent Enhancement of Low-Light Videos via Spatial-Temporal Compatible Learning

Temporal inconsistency is the annoying artifact that has been commonly introduced in low-light video enhancement, but current methods tend to overlook the significance of utilizing both data-centric clues and ...

Lingyu Zhu, Wenhan Yang, Baoliang Chen… in International Journal of Computer Vision (2024)

Article

LCTCS: Low-Cost and Two-Channel Sparse Network for Hyperspectral Image Classification

Using convolutional neural networks (CNNs) in classifying hyperspectral images (HSIs) has achieved quite good results in recent years. It is widely used in agricultural remote sensing, geological exploration, ...

Jie Sun, **g Yang, Wang Chen, Sujie Ding, Shaobo li… in Neural Processing Letters (2024)

Article

A Region-Selective Anti-compression Image Encryption Algorithm Based on Deep Networks

In recent years, related research has focused on how to safely transfer and protect the privacy of images in social network services while providing easy access by authorized users. To safeguard privacy, we su...

Zhenqiang Chen, Yifeng Liu, Gang Ke… in International Journal of Computational Int… (2024)

Article

Deep learning-driven automated quality assessment of ultra-widefield optical coherence tomography angiography images for diabetic retinopathy

Image quality assessment (IQA) of fundus images constitutes a foundational step in automated disease analysis. This process is pivotal in supporting the automation of screening, diagnosis, follow-up, and relat...

Yixiao **, Fu Gui, Minghao Chen, **ang Chen, Haoxuan Li… in The Visual Computer (2024)

Article

Efficient Visual Metaphor Image Generation Based on Metaphor Understanding

Metaphor has significant implications for revealing cognitive and thinking mechanisms. Visual metaphor image generation not only presents metaphorical connotations intuitively but also reflects AI’s understand...

Chang Su, **ngyue Wang, Shupin Liu, Yijiang Chen in Neural Processing Letters (2024)

Article

Speech Keyword Spotting Method Based on Swin-Transformer Model

With the rapid advancements in deep learning technology, the Transformer-based attention neural network has shown promising performance in keyword spotting (KWS). However, this method suffers from high computa...

Chengli Sun, Bikang Chen, Feilong Chen… in International Journal of Computational Int… (2024)

Article

CLSTM-SNP: Convolutional Neural Network to Enhance Spiking Neural P Systems for Named Entity Recognition Based on Long Short-Term Memory Network

Membrane computing is a type of parallel computing system (generally called P system) abstracted from information exchange mechanisms in biological cells, tissues, or neurons, which can process data in a distr...

Qin Deng, **aoliang Chen, Zaiyan Yang, **anyong Li, Yajun Du in Neural Processing Letters (2024)

Article

An Adaptive Learning Rate Deep Learning Optimizer Using Long and Short-Term Gradients Based on G–L Fractional-Order Derivative

Deep learning model is a multi-layered network structure, and the network parameters that evaluate the final performance of the model must be trained by a deep learning optimizer. In comparison to the mainstre...

Shuang Chen, Changlun Zhang, Haibing Mu in Neural Processing Letters (2024)

Article

GNNCL: A Graph Neural Network Recommendation Model Based on Contrastive Learning

In the field of recommendation algorithms, the representation learning for users and items has evolved from using single IDs or historical interactions to utilizing higher-order neighbors. This can be achieved...

**guang Chen, Jiahe Zhou, Lili Ma in Neural Processing Letters (2024)

Article

Transient Data Caching Based on Maximum Entropy Actor–Critic in Internet-of-Things Networks

With the rapid development of the Internet-of-Things (IoT), a massive amount of transient data is transmitted in edge networks. Transient data are highly time-sensitive, such as monitoring data generated by in...

Yu Zhang, Ningjiang Chen, Siyu Yu… in International Journal of Computational Int… (2024)

Article

Correction to: H-BLS: a hierarchical broad learning system with deep and sparse feature learning

Wei Guo, Shuangshuang Chen, **aofeng Yuan in Applied Intelligence (2023)

Article

Neural 3D reconstruction from sparse views using geometric priors

Sparse view 3D reconstruction has attracted increasing attention with the development of neural implicit 3D representation. Existing methods usually only make use of 2D views, requiring a dense set of input vi...

Tai-Jiang Mu, Hao-**ang Chen, Jun-**ong Cai, Ning Guo in Computational Visual Media (2023)

Article

A review on COVID-19 forecasting models

The novel coronavirus (COVID-19) has spread to more than 200 countries worldwide, leading to more than 36 million confirmed cases as of October 10, 2020. As such, several machine learning models that can forec...

Iman Rahimi, Fang Chen, Amir H. Gandomi in Neural Computing and Applications (2023)

Article

A Neural Inference of User Social Interest for Item Recommendation

User-generated content is daily produced in social media, as such user interest summarization is critical to distill salient information from massive information for recommendation tasks. While the interested ...

Junyang Chen, Ziyi Chen, Mengzhu Wang, Ge Fan, Guo Zhong… in Data Science and Engineering (2023)

Article

Deep reinforcement learning-based approach for rumor influence minimization in social networks

Spreading malicious rumors on social networks such as Facebook, Twitter, and WeChat can trigger political conflicts, sway public opinion, and cause social disruption. A rumor can spread rapidly across a networ...

Jiajian Jiang, **aoliang Chen, Zexia Huang, **anyong Li, Yajun Du in Applied Intelligence (2023)

Article

An anisotropic Chebyshev descriptor and its optimization for deformable shape correspondence

Shape descriptors have recently gained popularity in shape matching, statistical shape modeling, etc. Their discriminative ability and efficiency play a decisive role in these tasks. In this paper, we first pr...

Shengjun Liu, Hongyan Liu, Wang Chen, Dong-Ming Yan, Ling Hu… in Computational Visual Media (2023)

Article

Investigation of the Causal Relationship Between Alcohol Consumption and COVID-19: A Two-Sample Mendelian Randomization Study

Association between alcohol intake and Coronavirus disease 2019 (COVID-19) risk has been explored in several observational studies, but the results are still controversial. These associations may be biased by ...

Zhihan **ao, Yawei Qian, Yi Liu… in International Journal of Computational Int… (2023)