Search Results - "Yu, Qiancheng"
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Short-term natural gas load forecasting based on EL-VMD-Transformer-ResLSTM
Published in Scientific reports (02-09-2024)“…Due to changes in urban residents’ consumption habits and lifestyles, accurately predicting natural gas consumption has become increasingly important. To…”
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Author Correction: Short-term natural gas load forecasting based on EL-VMD-Transformer-ResLSTM
Published in Scientific reports (10-10-2024)Get full text
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3
Adaptive Feature Cross-Compression for Credit Default Prediction
Published in IEEE access (01-01-2023)“…The quality of credit risk assessment models is pivotal to the risk control and stable operation of financial institutions. Feature crossing proves highly…”
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4
MCAW-YOLO: An Efficient Detection Model for Ceramic Tile Surface Defects
Published in Applied sciences (01-11-2023)“…Traditional manual visual detection methods are inefficient, subjective, and costly, making them prone to false and missed detections. Deep-learning-based…”
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5
Application of Feature Selection Based on Multilayer GA in Stock Prediction
Published in Symmetry (Basel) (01-07-2022)“…This paper proposes a feature selection model based on a multilayer genetic algorithm (GA) to select the features of a high stock dividend (HSD) and eliminate…”
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Incorporating Feature Interactions and Contrastive Learning for Credit Prediction
Published in IEEE access (2023)“…The efficacy of credit risk assessment models is pivotal to the risk management capacity of financial institutions. Traditional credit risk models often suffer…”
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Grammar Correction for Multiple Errors in Chinese Based on Prompt Templates
Published in Applied sciences (01-08-2023)“…Grammar error correction (GEC) is a crucial task in the field of Natural Language Processing (NLP). Its objective is to automatically detect and rectify…”
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Learning Weight Signed Network Embedding with Graph Neural Networks
Published in Data science and engineering (01-03-2023)“…Network embedding aims to map nodes in a network to low-dimensional vector representations. Graph neural networks (GNNs) have received much attention and have…”
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Electric Load Forecasting Based on Deep Ensemble Learning
Published in Applied sciences (01-09-2023)“…Short-to-medium-term electric load forecasting is crucial for grid planning, transformation, and load scheduling for power supply departments. Various complex…”
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Signed Network Node Embedding via Dual Attention Mechanism
Published in IEEE access (2022)“…In signed networks, GNNs are used to get node embedding by aggregating node neighbor information. Most of the existing methods aggregate neighbor information…”
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Terminated polymer waveguide with low coupling loss to single-mode fiber for 100 Gbps optical interconnects and beyond
Published in Optics express (29-07-2024)“…We designed and fabricated terminated polymer waveguides with low coupling loss to a standard single-mode fiber (SSMF) for 100 Gbps optical interconnects…”
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12
Overlapping community detection for count-value networks
Published in Human-centric computing and information sciences (21-11-2019)“…Detecting network overlapping community has become a very hot research topic in the literature. However, overlapping community detection for count-value…”
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100 Gbps PAM4 VCSEL-based Transmission over Meter-scale Flexible Multimode Polymer Waveguides for Board-level Optical Interconnects Application
Published in 2024 Optical Fiber Communications Conference and Exhibition (OFC) (24-03-2024)“…We demonstrate 100 Gbps PAM4 VCSEL-based transmission over 12-channel connectorized meter-scale flexible multimode polymer waveguides with a bandwidth-length…”
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Conference Proceeding -
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Signed Network Embedding Based on Muti-attention Mechanism
Published in 2022 International Conference on Computer Network, Electronic and Automation (ICCNEA) (01-09-2022)“…In consideration of most signed network embeddings only focus on the low-order neighbors of the target node, they fail to make effective use of the high-order…”
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Conference Proceeding -
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Application of Stacking and Blending Ensemble Strategies in Breast Cancer Drug Candidates
Published in 2022 International Conference on Computer Network, Electronic and Automation (ICCNEA) (01-09-2022)“…In order to select drugs that are effective against breast cancer and can be absorbed safely by humans, the composition and molecular structure of the drugs…”
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Conference Proceeding -
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Research on Used Car Valuation Problem Based on Machine Learning
Published in 2022 International Conference on Computer Network, Electronic and Automation (ICCNEA) (01-09-2022)“…At present, the number of motor vehicles in China is increasing day by day, and the second-hand car trading market is also expanding. Due to the…”
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Conference Proceeding -
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A Dependability Modeling and Analysis Approach for an IoP-Based Service System
“…The increasing use of the internet of people (IoP) based service systems has the potential to bring about substantial benefits to individuals. An IoP-based…”
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Conference Proceeding -
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Metadata integration architecture in enterprise data warehouse system
Published in The 2nd International Conference on Information Science and Engineering (01-12-2010)“…Due to the increasing complexity of data warehouses, a centralized and declarative management of metadata is essential for data warehouse administration,…”
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Conference Proceeding -
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Constructing the Community Assignment Matrix for Overlapping Community Detection
“…To convey how strongly the object affiliate to the community, we use a random count matrix as the community assignment matrix for overlapping community…”
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Conference Proceeding