Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs. - Yulei Qin; Hao Zheng 008; Yue-Min Zhu; Jie Yang 002 (ICASSP, 2018)

Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. - Hao Zheng 008; Yun Gu; Yulei Qin; Xiaolin Huang; Jie Yang 002; Guang-Zhong Yang (MICCAI (2), 2018)

Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks. - Yulei Qin; Ning Song; Hao Zheng 008; Xiaolin Huang; Jie Yang 002; Yue-Min Zhu; Guang-Zhong Yang (CoRR, 2018)

AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. - Yulei Qin; Mingjian Chen; Hao Zheng 008; Yun Gu; Mali Shen; Jie Yang 002; Xiaolin Huang; Yue-Min Zhu; Guang-Zhong Yang (MICCAI (6), 2019)

Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks. - Yulei Qin; Juan Wen; Hao Zheng 008; Xiaolin Huang; Jie Yang 002; Ning Song; Yue-Min Zhu; Lingqian Wu; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 2019)

AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion. - Yulei Qin; Yun Gu; Hao Zheng 008; Mingjian Chen; Jie Yang 002; Yue-Min Zhu (ISBI, 2020)

Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. - Yulei Qin; Hao Zheng 008; Yun Gu; Xiaolin Huang; Jie Yang 002; Lihui Wang 002; Yue-Min Zhu (MICCAI (1), 2020)

Learning with Sure Data for Nodule-Level Lung Cancer Prediction. - Hanxiao Zhang; Yun Gu; Yulei Qin; Feng Yao; Guang-Zhong Yang (MICCAI (6), 2020)

Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations. - Hao Zheng 008; Zhiguo Zhuang; Yulei Qin; Yun Gu; Jie Yang 002; Guang-Zhong Yang (MICCAI (4), 2020)

Refined Local-imbalance-based Weight for Airway Segmentation in CT. - Hao Zheng 008; Yulei Qin; Yun Gu; Fangfang Xie; Jiayuan Sun; Jie Yang 002; Guang-Zhong Yang (MICCAI (1), 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 002; Lihui Wang 002; Feng Yao; Yue-Min Zhu (CoRR, 2021)

Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. - Yulei Qin; Hao Zheng 008; Yun Gu; Xiaolin Huang; Jie Yang 002; Lihui Wang 002; Feng Yao; Yue-Min Zhu; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 2021)

Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation. - Hao Zheng 008; Yulei Qin; Yun Gu; Fangfang Xie; Jie Yang 002; Jiayuan Sun; Guang-Zhong Yang (IEEE Trans. Medical Imaging, 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 (2021)

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 002 (MICCAI (4), 2022)

Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging. - Hanxiao Zhang; Liang Chen 023; Minghui Zhang; Xiao Gu 003; Yulei Qin; Weihao Yu 004; Feng Yao; Zhexin Wang; Yun Gu; Guang-Zhong Yang (iMIMIC@MICCAI, 2022)

Faithful learning with sure data for lung nodule diagnosis. - Hanxiao Zhang; Liang Chen 023; Xiao Gu 003; Minghui Zhang; Yulei Qin; Feng Yao; Zhexin Wang; Yun Gu; Guang-Zhong Yang (CoRR, 2022)

FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. - Yulei Qin; Xingyu Chen; Chao Chen 026; Yunhang Shen; Bo Ren 002; Yun Gu; Jie Yang 002; Chunhua Shen (AAAI, 2023)

CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes. - Yulei Qin; Xingyu Chen; Yunhang Shen; Chaoyou Fu; Yun Gu; Ke Li 015; Xing Sun 001; Rongrong Ji (NeurIPS, 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 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (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 004; Jinrui Yang; Xiawu Zheng; Ke Li 015; Xing Sun 001; et al. (CoRR, 2023)

Towards Robust Text Retrieval with Progressive Learning. - Tong Wu; Yulei Qin; Enwei Zhang; Zihan Xu; Yuting Gao; Ke Li 015; Xing Sun 001 (CoRR, 2023)

Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT. - Hanxiao Zhang; Liang Chen 023; Xiao Gu 003; Minghui Zhang; Yulei Qin; Feng Yao; Zhexin Wang; Yun Gu; Guang-Zhong Yang (Medical Image Anal., 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 002 (IEEE Trans. Medical Imaging, 2023)

Multi-site, Multi-domain Airway Tree Modeling. - Minghui Zhang; Yangqian Wu; Hanxiao Zhang; Yulei Qin; Hao Zheng 008; Wen Tang; Corey W. Arnold; Chenhao Pei; Pengxin Yu; Yang Nan 002; Guang Yang 006; Simon Walsh; et al. (Medical Image Anal., 2023)

Sinkhorn Distance Minimization for Knowledge Distillation. - Xiao Cui; Yulei Qin; Yuting Gao; Enwei Zhang; Zihan Xu; Tong Wu; Ke Li 015; Xing Sun 001; Wengang Zhou 001; Houqiang Li (LREC/COLING, 2024)

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning. - Yuncheng Yang; Chuyan Zhang; Zuopeng Yang; Yuting Gao; Yulei Qin; Ke Li 015; Xing Sun 001; Jie Yang 002; Yun Gu (CoRR, 2024)

Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models. - Yuncheng Yang; Yulei Qin; Tong Wu; Zihan Xu; Gang Li; Pengcheng Guo; Hang Shao; Yucheng Shi; Ke Li 015; Xing Sun 001; Jie Yang 002; Yun Gu (CoRR, 2024)

Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models. - Xiao Cui; Mo Zhu; Yulei Qin; Liang Xie 003; Wengang Zhou 001; Houqiang Li (AAAI, 2025)

OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation. - Xiao Cui; Yulei Qin; Wengang Zhou 001; Hongsheng Li; Houqiang Li (CVPR, 2025)

Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models. - Yulei Qin; Yuncheng Yang; Pengcheng Guo; Gang Li; Hang Shao; Yuchen Shi; Zihan Xu; Yun Gu; Ke Li 015; Xing Sun 001 (Trans. Mach. Learn. Res., 2025)

Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models. - Yulei Qin; Gang Li; Zongyi Li; Zihan Xu; Yuchen Shi; Zhekai Lin; Xiao Cui; Ke Li 015; Xing Sun 001 (CoRR, 2025)

SinKD: Sinkhorn Distance Minimization for Knowledge Distillation. - Xiao Cui; Yulei Qin; Yuting Gao; Enwei Zhang; Zihan Xu; Tong Wu; Ke Li 015; Xing Sun 001; Wengang Zhou 001; Houqiang Li (IEEE Trans. Neural Networks Learn. Syst., 2025)