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Renqiu Ouyang - IEEE Xplore Author Profile
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Renqiu Ouyang

Publications
3
Citations
4
Publications by Year
20232025
Co-Authors:
Show All Co-Authors (6)
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Renqiu Ouyang

Affiliation

Hunan University, Changsha, China

Publication Topics

Biography

Renqiu Ouyang received the BS degree from the Hunan University of Technology, China. He is currently working toward the PhD degree. His research interests include parallel and scientific computing, with focus on sparse tensor decomposition.(Based on document published on 22 June 2023).
Publications
3
Citations
4
Publications by Year
20232025
Co-Authors:
Show All Co-Authors (6)
Author's Published Works

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A Novel Completion Method for Sparse Traffic Data Imputation

Renqiu Ouyang;Yikun Hu;Haotian Wang;Rong Hu;Wangdong Yang;Kenli Li

IEEE Intelligent Transportation Systems Magazine
Year: 2025 | Early Access Article |
Traffic data imputation is essential in smart cities and the Internet of Things (IoT). Tensor completion is an efficient method for traffic data imputation. However, these methods overlook the integration of contextual and spatial information, which are important for traffic data imputation. Hence, this study proposes a novel tensor completion method leveraging contextual and spatial information f...Show More

A Novel Completion Method for Sparse Traffic Data Imputation

Renqiu Ouyang;Yikun Hu;Haotian Wang;Rong Hu;Wangdong Yang;Kenli Li

Year: 2025 | Early Access Article |

BCB-SpTC: An Efficient Sparse High-Dimensional Tensor Contraction Employing Tensor Core Acceleration

Rong Hu;Haotian Wang;Wangdong Yang;Renqiu Ouyang;Keqin Li;Kenli Li

IEEE Transactions on Parallel and Distributed Systems
Year: 2024 | Volume: 35, Issue: 12 | Journal Article |
Sparse tensor contraction (SpTC) is an important operator in tensor networks, which tends to generate a large amount of sparse high-dimensional data, placing higher demands on the computational performance and storage bandwidth of the processor. Using GPUs with powerful arithmetic characteristics is a reliable choice for accelerating SpTC, however, the high dimensionality and sparsity of tensor ma...Show More

BCB-SpTC: An Efficient Sparse High-Dimensional Tensor Contraction Employing Tensor Core Acceleration

Rong Hu;Haotian Wang;Wangdong Yang;Renqiu Ouyang;Keqin Li;Kenli Li

Year: 2024 | Volume: 35, Issue: 12 | Journal Article |

A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration

Haotian Wang;Wangdong Yang;Rong Hu;Renqiu Ouyang;Kenli Li;Keqin Li

IEEE Transactions on Parallel and Distributed Systems
Year: 2023 | Volume: 34, Issue: 8 | Journal Article |
Cited by: Papers (4)
Analysis of multi-dimensional data, especially tensor decomposition, which extracts latent information, is becoming considerably popular. Although multi-dimensional sparse data is typically processed on multi-core processors, developing highly optimized GPU-based Sparse Tensor Matrix Chain Multiplication (SpTMCM) is challenging. The purpose of this paper is to investigate a novel approach named Sp...Show More

A Novel Parallel Algorithm for Sparse Tensor Matrix Chain Multiplication via TCU-Acceleration

Haotian Wang;Wangdong Yang;Rong Hu;Renqiu Ouyang;Kenli Li;Keqin Li

Year: 2023 | Volume: 34, Issue: 8 | Journal Article |

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