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Kaixiang Yang

South China University of Technology

Wushan

Guangzhou, AR 510640

China

SCHOLARLY PAPERS

4

DOWNLOADS

221

TOTAL CITATIONS

1

Scholarly Papers (4)

1.

Di-Graphgan: An Enhanced Adversarial Learning Framework for Accurate Spatial-Temporal Traffic Forecasting Under Data Missing Scenarios

Number of pages: 16 Posted: 09 Oct 2023
Lincan Li, JICHAO BI, Kaixiang Yang and Fengji Luo
Zhejiang University, Zhejiang University, South China University of Technology and The University of Sydney
Downloads 88 (753,595)
Citation 1

Abstract:

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Spatial-Temporal Traffic Forecasting, Sequential Data Imputation, Graph Attention Networks, Generative adversarial networks, Dynamic Spatiotemporal Dependency Modeling

2.

Minimum Variance Weighted Broad Cascade Network Structure for Imbalanced Classification

Number of pages: 13 Posted: 09 Jan 2025
South China University of Technology, South China University of Technology, South China University of Technology, South China University of Technology, Peng Cheng Laboratory and South China University of Technology - School of Computer Science and Engineering
Downloads 59 (980,173)

Abstract:

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broad learning system, imbalanced learning, cost-sensitive learning, minimum variance

3.

Dpmp: Dynamic Prototype Matching Promptstyler for Source-Free Domain Generalization

Number of pages: 14 Posted: 21 Jul 2025
South China University of Technology, South China University of Technology, South China University of Technology, South China University of Technology, Peng Cheng Laboratory and South China University of Technology
Downloads 38 (1,236,159)

Abstract:

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Domain generalization, Source-free Domain Generalization, Vision-Language Model, zero-shot learning

4.

Interval Forecast of Natural Gas Daily Consumption Based on Spatial-Temporal Bayesian Model

Number of pages: 10 Posted: 01 Aug 2025
Zhejiang University, Zhejiang University, Zhejiang University, South China University of Technology, Zhejiang University - State Key Laboratory of Industrial Control Technology and South China University of Technology
Downloads 36 (1,290,922)

Abstract:

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Natural gas consumption, Uncertainty prediction, Spatial-temporal Bayesian model, End-to-end training, Dynamic graph neural network, Transformer framework