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Junxiang Bai - IEEE Xplore Author Profile
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Junxiang Bai

Publications
3
Citations
67
Publications by Year
20222023
Co-Authors:
Show All Co-Authors (6)
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Junxiang Bai

Affiliation

School of Automation Science and Electrical Engineering
Beihang University (BUAA)
Beijing, China

Publication Topics

Biography

Junxiang Bai received the B.S. degree from the Beijing University of Aeronautics and Astronautics (BUAA), Beijing, China, in 2021, where she is currently pursuing the master’s degree.,Her research interests include studying data generation, reconstruction, and fusion.(Based on document published on 9 January 2023).
Publications
3
Citations
67
Publications by Year
20222023
Co-Authors:
Show All Co-Authors (6)
Author's Published Works

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Low-Rank Matrix Completion Based on Schattern-p Norm and Gaussian Kernel

Junxiang Bai;Wenling Li

2023 IEEE 13th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)
Year: 2023 | Conference Paper |
Low-rank matrix completion has been widely used in many engineering problems, and different matrix norms have been used to approximate the rank function of the matrix to solve the difficulty of optimization. However, nonlinear relationship between matrix elements has been ignored in the matrix completion algorithms. To address this issue, we propose a novel matrix completion algorithm which takes ...Show More

Low-Rank Matrix Completion Based on Schattern-p Norm and Gaussian Kernel

Junxiang Bai;Wenling Li

Year: 2023 | Conference Paper |

Receptive-Field and Direction Induced Attention Network for Infrared Dim Small Target Detection With a Large-Scale Dataset IRDST

Heng Sun;Junxiang Bai;Fan Yang;Xiangzhi Bai

IEEE Transactions on Geoscience and Remote Sensing
Year: 2023 | Volume: 61 | Journal Article |
Cited by: Papers (65)
Infrared small target detection plays an important role in military and civilian fields while it is difficult to be solved by deep learning (DL) technologies due to scarcity of data and strong interclass imbalance. To relieve scarcity of data, we build a massive dataset IRDST, which contains 142 727 frames. Also, we propose a receptive-field and direction-induced attention network (RDIAN), which i...Show More

Receptive-Field and Direction Induced Attention Network for Infrared Dim Small Target Detection With a Large-Scale Dataset IRDST

Heng Sun;Junxiang Bai;Fan Yang;Xiangzhi Bai

Year: 2023 | Volume: 61 | Journal Article |

Communication-efficient Federated Learning with an Event-triggering Strategy

Yuhao Li;Junxiang Bai;Duo Li;Wenling Li

2022 IEEE 11th Data Driven Control and Learning Systems Conference (DDCLS)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
With the development of artificial intelligence, data has become one of the most important resources. However, the emphasis on data privacy has brought great obstacles to the further development of machine learning algorithms. Federated learning keeps the local data set from being exposed to the outside world by passing model parameters during the training process, so communication cost has become...Show More

Communication-efficient Federated Learning with an Event-triggering Strategy

Yuhao Li;Junxiang Bai;Duo Li;Wenling Li

Year: 2022 | Conference Paper |

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