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Yulei Qin
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2020 – today
- 2024
- [c13]Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan Xu, Tong Wu, Ke Li, Xing Sun, Wengang Zhou, Houqiang Li:
Sinkhorn Distance Minimization for Knowledge Distillation. LREC/COLING 2024: 14846-14858 - [i15]Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan Xu, Tong Wu, Ke Li, Xing Sun, Wengang Zhou, Houqiang Li:
Sinkhorn Distance Minimization for Knowledge Distillation. CoRR abs/2402.17110 (2024) - [i14]Yuncheng Yang, Chuyan Zhang, Zuopeng Yang, Yuting Gao, Yulei Qin, Ke Li, Xing Sun, Jie Yang, Yun Gu:
RESTORE: Towards Feature Shift for Vision-Language Prompt Learning. CoRR abs/2403.06136 (2024) - [i13]Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun:
Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models. CoRR abs/2408.02085 (2024) - [i12]Yuncheng Yang, Yulei Qin, Tong Wu, Zihan Xu, Gang Li, Pengcheng Guo, Hang Shao, Yucheng Shi, Ke Li, Xing Sun, Jie Yang, Yun Gu:
Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models. CoRR abs/2408.15915 (2024) - 2023
- [j6]Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang:
Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT. Medical Image Anal. 83: 102627 (2023) - [j5]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:
Multi-site, Multi-domain Airway Tree Modeling. Medical Image Anal. 90: 102957 (2023) - [j4]Chao Xia, Jiyue Wang, Yulei Qin, Juan Wen, Zhaojiang Liu, Ning Song, Lingqian Wu, Bing Chen, Yun Gu, Jie Yang:
KaryoNet: Chromosome Recognition With End-to-End Combinatorial Optimization Network. IEEE Trans. Medical Imaging 42(10): 2899-2911 (2023) - [c12]Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. AAAI 2023: 2101-2109 - [c11]Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes. NeurIPS 2023 - [i11]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:
Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR abs/2303.05745 (2023) - [i10]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:
MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. CoRR abs/2306.13394 (2023) - [i9]Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji:
CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes. CoRR abs/2310.09761 (2023) - [i8]Tong Wu, Yulei Qin, Enwei Zhang, Zihan Xu, Yuting Gao, Ke Li, Xing Sun:
Towards Robust Text Retrieval with Progressive Learning. CoRR abs/2311.11691 (2023) - 2022
- [c10]Hanxiao Zhang, Liang Chen, Minghui Zhang, Xiao Gu, Yulei Qin, Weihao Yu, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang:
Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging. iMIMIC@MICCAI 2022: 1-11 - [c9]Chao Xia, Jiyue Wang, Yulei Qin, Yun Gu, Bing Chen, Jie Yang:
An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention. MICCAI (4) 2022: 3-13 - [i7]Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang:
Faithful learning with sure data for lung nodule diagnosis. CoRR abs/2202.12515 (2022) - [i6]Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen:
FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. CoRR abs/2212.00465 (2022) - 2021
- [b1]Yulei Qin:
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). University of Lyon, France, 2021 - [j3]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. IEEE Trans. Medical Imaging 40(6): 1603-1617 (2021) - [j2]Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation. IEEE Trans. Medical Imaging 40(9): 2452-2462 (2021) - [c8]Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang, Guang-Zhong Yang:
Refined Local-imbalance-based Weight for Airway Segmentation in CT. MICCAI (1) 2021: 410-419 - [i5]Yulei Qin, Yun Gu, Hanxiao Zhang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu:
Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset. CoRR abs/2106.12991 (2021) - 2020
- [c7]Yulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yue-Min Zhu:
AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion. ISBI 2020: 809-813 - [c6]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu:
Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. MICCAI (1) 2020: 221-231 - [c5]Hao Zheng, Zhiguo Zhuang, Yulei Qin, Yun Gu, Jie Yang, Guang-Zhong Yang:
Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations. MICCAI (4) 2020: 450-459 - [c4]Hanxiao Zhang, Yun Gu, Yulei Qin, Feng Yao, Guang-Zhong Yang:
Learning with Sure Data for Nodule-Level Lung Cancer Prediction. MICCAI (6) 2020: 570-578 - [i4]Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang:
Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation. CoRR abs/2011.11952 (2020) - [i3]Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang:
Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. CoRR abs/2012.05767 (2020)
2010 – 2019
- 2019
- [j1]Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang:
Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks. IEEE Trans. Medical Imaging 38(11): 2569-2581 (2019) - [c3]Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang:
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. MICCAI (6) 2019: 212-220 - [i2]Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang:
AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. CoRR abs/1907.06852 (2019) - 2018
- [c2]Yulei Qin, Hao Zheng, Yue-Min Zhu, Jie Yang:
Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs. ICASSP 2018: 1005-1009 - [c1]Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang:
Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. MICCAI (2) 2018: 876-884 - [i1]Yulei Qin, Ning Song, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu, Guang-Zhong Yang:
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks. CoRR abs/1810.05943 (2018)
Coauthor Index
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last updated on 2024-11-19 21:41 CET by the dblp team
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