Search Results - "Shi, Zhenquan"
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GCN-Based Encoder-Decoder Networks With Markov Random Field for Unsupervised Community Detection
Published in IEEE access (2024)“…Community discovery is an essential research area with significant real-world applications. Lately, Graph Convolutional Networks (GCNs) have gained popularity…”
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Journal Article -
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Heterogeneous Node Feature Learning Method Based on Low-Order and High-Order Joint Learning
Published in IEEE access (2024)“…There are many heterogeneous graphs in the real world, including reference, movie, medical, and transportation networks. In the real world, heterogeneous…”
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MSA-GCN: Multistage Spatio-Temporal Aggregation Graph Convolutional Networks for Traffic Flow Prediction
Published in Mathematics (Basel) (01-11-2024)“…Timely and accurate traffic flow prediction is crucial for stabilizing road conditions, reducing environmental pollution, and mitigating economic losses. While…”
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A Hybrid Model Integrating Local and Global Spatial Correlation for Traffic Prediction
Published in IEEE access (2022)“…Accurate traffic prediction can effectively alleviate traffic congestion problems. The complex spatial correlation of traffic flow contributes to the…”
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Where2Stand: Toward a Framework for Portrait Position Recommendation in Photography
Published in IEEE access (2023)“…Composition layout is crucial in the portrait location recommendation of photography. The existing studies require both landscape background images and…”
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Virtual group photography based on scene and person perception
Published in Heliyon (15-01-2024)“…Group photos have become indispensable in various gathering scenarios, such as family reunions, friends' gatherings, competitions, conferences, store openings,…”
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SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction
Published in IEEE access (2022)“…Traffic flow prediction is of great significance for traffic control, and it has been challenging for capturing the complex spatial-temporal correlation…”
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Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction
Published in Engineering applications of artificial intelligence (01-05-2023)“…Traffic flow prediction remains an ongoing hot topic in the field of Intelligent Transportation System. The state-of-the-art traffic flow prediction models can…”
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Attribute reduction with personalized information granularity of nearest mutual neighbors
Published in Information sciences (01-10-2022)“…Neighborhood-based attribute reduction plays a vital role in pattern recognition, for selecting a series of informative and relevant attributes from data sets…”
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A unified framework of semi-supervised community detection integrating network topology and node content
Published in Information sciences (01-01-2025)“…Detecting the community structure within networks is important because it aids in the analysis of complex networks. However, the existence of diverse complex…”
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A New Knowledge Characteristics Weighting Method Based on Rough Set and Knowledge Granulation
Published in Computational intelligence and neuroscience (01-01-2018)“…The knowledge characteristics weighting plays an extremely important role in effectively and accurately classifying knowledge. Most of the existing…”
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SD-CNN: A static-dynamic convolutional neural network for functional brain networks
Published in Medical image analysis (01-01-2023)“…Static functional connections (sFCs) and dynamic functional connections (dFCs) have been widely used in the resting-state functional MRI (rs-fMRI) analysis…”
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Analysis and Research of the Campus Network User's Behavior Based on k-Means Clustering Algorithm
Published in 2013 Fourth International Conference on Digital Manufacturing & Automation (01-06-2013)“…This thesis introduces the status and methods of data mining, aiming at the Nantong University campus network users access data preprocessing analysis, using…”
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Conference Proceeding -
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Prompt Learning Under the Large Language Model
Published in 2023 International Seminar on Computer Science and Engineering Technology (SCSET) (01-04-2023)“…With the emergence of models such as chatGPT and Baidu AI Wenxin Yiyan, the research and application of NLP (Natural Language Processing) is increasingly…”
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Conference Proceeding -
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The Loom Monitoring System Design with High Reliability and Easy Maintainability
Published in 2011 International Conference on Control, Automation and Systems Engineering (CASE) (01-07-2011)“…This article introduced loom monitoring system with high reliability and easy maintainability. In order to improve the system's reliability and easy…”
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Conference Proceeding -
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SDSCNN: A Hybrid Model Integrating Static and Dynamic Spatial Correlation Neural Network for Traffic Prediction
Published in Access, IEEE (2022)“…Traffic flow prediction is of great significance for traffic control, and it has been challenging for capturing the complex spatial-temporal correlation…”
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Effect and Mechanism of Lactiplantibacillus plantarum P9 on Functional Constipation in Mice
Published in Shípĭn kēxué (01-05-2023)“…Objective: To study the laxative effect of Lactiplantibacillus plantarum P9 on functional constipation in mice and its effect on the gut microbiota. Methods:…”
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