Yulei Qin

According to our database, Yulei Qin authored at least 27 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning.

Yuncheng Yang, Chuyan Zhang, Zuopeng Yang, Yuting Gao, Yulei Qin, Ke Li, Xing Sun, Jie Yang, Yun Gu

CoRR, 2024

Sinkhorn Distance Minimization for Knowledge Distillation.

Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan Xu, Tong Wu, Ke Li, Xing Sun, Wengang Zhou, Houqiang Li

CoRR, 2024

2023

Multi-site, Multi-domain Airway Tree Modeling.

Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lu, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu

Medical Image Anal., December, 2023

KaryoNet: Chromosome Recognition With End-to-End Combinatorial Optimization Network.

Chao Xia, Jiyue Wang, Yulei Qin, Juan Wen, Zhaojiang Liu, Ning Song, Lingqian Wu, Bing Chen, Yun Gu, Jie Yang

IEEE Trans. Medical Imaging, October, 2023

Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT.

Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang

Medical Image Anal., 2023

Towards Robust Text Retrieval with Progressive Learning.

Tong Wu, Yulei Qin, Enwei Zhang, Zihan Xu, Yuting Gao, Ke Li, Xing Sun

CoRR, 2023

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

Chaoyou Fu, Peixian Chen, Yunhang Shen, Yulei Qin, Mengdan Zhang, Xu Lin, Zhenyu Qiu, Wei Lin, Jinrui Yang, Xiawu Zheng, Ke Li, Xing Sun, Rongrong Ji

CoRR, 2023

Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation.

Minghui Zhang, Yangqian Wu, Hanxiao Zhang, Yulei Qin, Hao Zheng, Wen Tang, Corey W. Arnold, Chenhao Pei, Pengxin Yu, Yang Nan, Guang Yang, Simon Walsh, Dominic C. Marshall, Matthieu Komorowski, Puyang Wang, Dazhou Guo, Dakai Jin, Yanan Wu, Shuiqing Zhao, Runsheng Chang, Boyu Zhang, Xing Lv, Abdul Qayyum, Moona Mazher, Qi Su, Yonghuang Wu, Ying'ao Liu, Yufei Zhu, Jiancheng Yang, Ashkan Pakzad, Bojidar Rangelov, Raúl San José Estépar, Carlos Cano-Espinosa, Jiayuan Sun, Guang-Zhong Yang, Yun Gu

CoRR, 2023

CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes.

Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning.

Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Faithful learning with sure data for lung nodule diagnosis.

Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang

CoRR, 2022

Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging.

Hanxiao Zhang, Liang Chen, Minghui Zhang, Xiao Gu, Yulei Qin, Weihao Yu, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang

Proceedings of the Interpretability of Machine Intelligence in Medical Image Computing, 2022

An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention.

Chao Xia, Jiyue Wang, Yulei Qin, Yun Gu, Bing Chen, Jie Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

Investigation of deep learning methods for classification and segmentation of chromosome and pulmonary images. (Etude des méthodes d'apprentissage profond pour la classification et la segmentation des chromosome et des images pulmonaires).

Yulei Qin

PhD thesis, 2021

Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation.

Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang

IEEE Trans. Medical Imaging, 2021

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT.

Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang

IEEE Trans. Medical Imaging, 2021

Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset.

Yulei Qin, Yun Gu, Hanxiao Zhang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu

CoRR, 2021

Refined Local-imbalance-based Weight for Airway Segmentation in CT.

Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

2020

Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations.

Hao Zheng, Zhiguo Zhuang, Yulei Qin, Yun Gu, Jie Yang, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning with Sure Data for Nodule-Level Lung Cancer Prediction.

Hanxiao Zhang, Yun Gu, Yulei Qin, Feng Yao, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation.

Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion.

Yulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yue-Min Zhu

Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks.

Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang

IEEE Trans. Medical Imaging, 2019

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks.

Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

2018

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks.

Yulei Qin, Ning Song, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu, Guang-Zhong Yang

CoRR, 2018

Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection.

Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs.

Yulei Qin, Hao Zheng, Yue-Min Zhu, Jie Yang

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018