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Shangdong Liu

Also published under: Shangdon Liu

Publications

Citations

Publications by Year

20112024

Co-Authors:

Qiang BiWeiqing CaoXiangyu CaoJianxin ChenFeng Chen

Show All Co-Authors (72)

Shangdong Liu

Also published under: Shangdon Liu

Affiliation

School of Computer Science

Nanjing University of Posts and Telecommunications

Nanjing, China

Institute of High Performance Computing and Big Data

Nanjing University of Posts and Telecommunications

Nanjing, China

Publication Topics

Convolutional Neural Network,
Discriminative Features,
Feature Representation,
Global Features,
Local Features,
Long Short-term Memory,
Long-range Dependencies,
Neural Network,
Semantic Information,
Visible-infrared Person Re-identification,
Abnormal Data,
Accuracy Of Model

Biography

Shangdong Liu is currently working toward the Ph.D. degree in computer system architecture with Southeast University, Nanjing, China. His research interests include computer vision, data analysis and processing, and cloud computing applications.(Based on document published on 16 December 2022).

Publications

Citations

Publications by Year

20112024

Co-Authors:

Qiang Bi
Weiqing Cao
Xiangyu Cao
Jianxin Chen
Feng Chen

Show All Co-Authors (72)

Author's Published Works

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Rui-Wei Zhao(2)
Ruofan Wang(2)
Rui Feng(2)
Jiayu Guo(1)
Yuejie Zhang(1)
Academy for Engineering and Technology, Fudan University, Shanghai, China(1)
School of Computer Science, Fudan University, Shanghai, China(1)
National Children's Medical Center, Children's Hospital of Fudan University, Shanghai, China(1)
Fudan University, Shanghai, China(1)
School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University, Shanghai, China(1)
2023 IEEE International Conference on Multimedia and Expo (ICME)(1)
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IEEE(2)
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Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition

Yiqian Xu;Ruofan Wang;Rui-Wei Zhao;Xingxing Xiao;Rui Feng

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

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Open set recognition (OSR) for medical images is vital to ensure practical safeguards in clinical applications. It demands establishing model awareness of rare and unknown conditions, rejecting what the model does not know, and thus preventing these conditions from being dangerously misclassified into any false known classes. Meanwhile, it often further requires training the OSR model based on a m...Show More

Semi-Supervised and Class-Imbalanced Open Set Medical Image Recognition

Yiqian Xu;Ruofan Wang;Rui-Wei Zhao;Xingxing Xiao;Rui Feng

IEEE Access

Year: 2024 | Volume: 12 | Journal Article |

Class-aware Variational Auto-encoder for Open Set Recognition

Ruofan Wang;Jiayu Guo;Rui-Wei Zhao;Ling Su;Yingzi Ye;Xiaobo Zhang;Yuejie Zhang;Rui Feng

2023 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2023 | Conference Paper |

Cited by: Papers (4)

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Compared with traditional classification models trained under the closed world assumption, Open Set Recognition (OSR) requires accurate classification for known classes as well as rejection for unknown ones. By modeling the distribution of each known class, Conditional Variational Auto-encoder (CVAE) has achieved great success in OSR, even though it was originally proposed for image generation. In...Show More

Class-aware Variational Auto-encoder for Open Set Recognition

Ruofan Wang;Jiayu Guo;Rui-Wei Zhao;Ling Su;Yingzi Ye;Xiaobo Zhang;Yuejie Zhang;Rui Feng

2023 IEEE International Conference on Multimedia and Expo (ICME)

Year: 2023 | Conference Paper |

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