Yiqian Xu - IEEE Xplore Author Profile
Subscribe
ADVANCED SEARCH

Author details

< Back

Yiqian Xu

Publications
5
Citations
1
Publications by Year
20002024
Co-Authors:
Show All Co-Authors (12)
Image of author Yiqian Xu

Yiqian Xu

Affiliation

School of Computer Science, Shanghai Key Laboratory of Intelligent Information Processing, Fudan University

Publication Topics

Biography

Yiqian Xu received the B.S. degree in bachelor of arts from the University of Central Lancashire, U.K., in 2013, and the M.S. degree in computer science from Fudan University, Shanghai, China, in 2018, where she is currently pursuing the Ph.D. degree with the School of Information Science and Technology. Her research interests include computer version, multimedia information analysis and processing, machine learning, and medical image analysis.(Based on document published on 12 August 2024).
Publications
5
Citations
1
Publications by Year
20002024
Co-Authors:
Show All Co-Authors (12)
Author's Published Works

Showing 1-5 of 5 results

  • Sort

Filter Results

Show

Sort By

Results

Evidential Open Set Recognition for Imbalanced Medical Images via Multi-level Data Augmentation

Rui-Wei Zhao;Yiqian Xu;Ying Zhang;Rui Feng

2024 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
Year: 2024 | Conference Paper |
Due to the exstence of common and rare diseases, the complex clinical scenario often poses the challenging class imbalanced open set recognition problem. Unfortunately, most existing approaches are ill-suited for such situations with limited and imbalanced data during training and the possibility of encountering unseen classes during test. In this work, we propose a novel Multi-level mixup-based E...Show More

Evidential Open Set Recognition for Imbalanced Medical Images via Multi-level Data Augmentation

Rui-Wei Zhao;Yiqian Xu;Ying Zhang;Rui Feng

Year: 2024 | Conference Paper |

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 |
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

Year: 2024 | Volume: 12 | Journal Article |

Exploring Object-Centered External Knowledge for Fine-Grained Video Paragraph Captioning

Guorui Yu;Yimin Hu;Yiqian Xu;Yuejie Zhang;Rui Feng;Tao Zhang;Shang Gao

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2024 | Conference Paper |
Video paragraph captioning task aims to generate a detailed, fluent and relevant paragraph for a given video. Prior studies often focus on isolating visual objects (potential main components in a sentence) from the overall video content. They rarely explore the latent semantic relations between objects and high-level video concepts, resulting in dull or even incorrect descriptions. To create fine-...Show More

Exploring Object-Centered External Knowledge for Fine-Grained Video Paragraph Captioning

Guorui Yu;Yimin Hu;Yiqian Xu;Yuejie Zhang;Rui Feng;Tao Zhang;Shang Gao

Year: 2024 | Conference Paper |

Lesion-Aware Open Set Medical Image Recognition with Domain Shift

Yiqian Xu;Rui-Wei Zhao;Rui Feng

ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Year: 2024 | Conference Paper |
Cited by: Papers (1)
Medical image diagnosis in real clinical scenario faces the challenging open set recognition problem with domain shift. Based on the observation that it is often merely the local lesion areas in the whole image decide or cause the true seen or potential unseen disease labels, we propose a unified deep learning framework to address it by establishing a lesion-aware mask generator to guide the model...Show More

Lesion-Aware Open Set Medical Image Recognition with Domain Shift

Yiqian Xu;Rui-Wei Zhao;Rui Feng

Year: 2024 | Conference Paper |

A novel PIV technique using one frame of image

Mao Ye;Shimin Wang;Yiqian Xu

Conference Digest. 2000 Conference on Lasers and Electro-Optics Europe (Cat. No.00TH8505)
Year: 2000 | Conference Paper |
Summary form only given. A novel technique for measuring two-dimensional flow field has been developed. It cans measure the vector field by capturing only one frame of picture of flow field and by using the cross-correlation method. The technique employer rather simple equipment compare with common PIV techniques, which normally needs pulse lasers to capture two frame of pictures. The experimental...Show More

A novel PIV technique using one frame of image

Mao Ye;Shimin Wang;Yiqian Xu

Year: 2000 | Conference Paper |

IEEE Account

Purchase Details

Profile Information

Need Help?

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity.
© Copyright 2025 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.