Yulei Qin - RankMe

54 papers A* 5Misc 1Journal 37Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Active Power Filter Control Strategy With Strong Antiinterference Performance for Grid Frequency Fluctuation. IEEE Trans. Ind. Electron. Hao Ren, Lei Wang, Fujun Ma, Kai Zhang, Jie Zou, Yuzhang He, Yulei Qin
2026	A*	`conf`	Rethinking Long-tailed Dataset Distillation: A Uni-Level Framework with Unbiased Recovery and Relabeling. AAAI Xiao Cui, Yulei Qin, Xinyue Li, Wengang Zhou, Hongsheng Li, Houqiang Li
2026	J	`jnl`	SE-Search: Self-Evolving Search Agent via Memory and Dense Reward. CoRR Jian Li, Yizhang Jin, Dongqi Liu, Hang Ding, Jiafu Wu, Dongsheng Chen, Yunhang Shen, Yulei Qin, Ying Tai, Chengjie Wang, Xiaotong Yuan, Yabiao Wang
2025	J	`jnl`	CUARewardBench: A Benchmark for Evaluating Reward Models on Computer-using Agent. CoRR Haojia Lin, Xiaoyu Tan, Yulei Qin, Zihan Xu, Yuchen Shi, Zongyi Li, Gang Li, Shaofei Cai, Siqi Cai, Chaoyou Fu, Ke Li, Xing Sun
2025	J	`jnl`	Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards. CoRR Xuan Zhang, Ruixiao Li, Zhijian Zhou, Long Li, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi
2025	J	`jnl`	Incentivizing Reasoning for Advanced Instruction-Following of Large Language Models. CoRR Yulei Qin, Gang Li, Zongyi Li, Zihan Xu, Yuchen Shi, Zhekai Lin, Xiao Cui, Ke Li, Xing Sun
2025	J	`jnl`	LTD-Bench: Evaluating Large Language Models by Letting Them Draw. CoRR Liuhao Lin, Ke Li, Zihan Xu, Yuchen Shi, Yulei Qin, Yan Zhang, Xing Sun, Rongrong Ji
2025	J	`jnl`	Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning. CoRR Yulei Qin, Xiaoyu Tan, Zhengbao He, Gang Li, Haojia Lin, Zongyi Li, Zihan Xu, Yuchen Shi, Siqi Cai, Renting Rui, Shaofei Cai, Yuzheng Cai, Xuan Zhang, Sheng Ye, Ke Li, Xing Sun
2025	A*	`conf`	Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models. AAAI Xiao Cui, Mo Zhu, Yulei Qin, Liang Xie, Wengang Zhou, Houqiang Li
2025	A*	`conf`	OPTICAL: Leveraging Optimal Transport for Contribution Allocation in Dataset Distillation. CVPR Xiao Cui, Yulei Qin, Wengang Zhou, Hongsheng Li, Houqiang Li
2025	J	`jnl`	Optimizing Distributional Geometry Alignment with Optimal Transport for Generative Dataset Distillation. CoRR Xiao Cui, Yulei Qin, Wengang Zhou, Hongsheng Li, Houqiang Li
2025	J	`jnl`	Rethinking Long-tailed Dataset Distillation: A Uni-Level Framework with Unbiased Recovery and Relabeling. CoRR Xiao Cui, Yulei Qin, Xinyue Li, Wengang Zhou, Hongsheng Li, Houqiang Li
2025	J	`jnl`	RoRecomp: Enhancing Reasoning Efficiency via Rollout Response Recomposition in Reinforcement Learning. CoRR Gang Li, Yulei Qin, Xiaoyu Tan, Dingkang Yang, Yuchen Shi, Zihan Xu, Xiang Li, Xing Sun, Ke Li
2025	J	`jnl`	SinKD: Sinkhorn Distance Minimization for Knowledge Distillation. IEEE Trans. Neural Networks Learn. Syst. Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan Xu, Tong Wu, Ke Li, Xing Sun, Wengang Zhou, Houqiang Li
2025	J	`jnl`	SmartSnap: Proactive Evidence Seeking for Self-Verifying Agents. CoRR Shaofei Cai, Yulei Qin, Haojia Lin, Zihan Xu, Gang Li, Yuchen Shi, Zongyi Li, Yong Mao, Siqi Cai, Xiaoyu Tan, Yitao Liang, Ke Li, Xing Sun
2025	J	`jnl`	Training-Free Group Relative Policy Optimization. CoRR Yuzheng Cai, Siqi Cai, Yuchen Shi, Zihan Xu, Lichao Chen, Yulei Qin, Xiaoyu Tan, Gang Li, Zongyi Li, Haojia Lin, Yong Mao, Ke Li, Xing Sun
2025	J	`jnl`	Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models. Trans. Mach. Learn. Res. Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun
2025	J	`jnl`	Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization. CoRR Yuchen Shi, Yuzheng Cai, Siqi Cai, Zihan Xu, Lichao Chen, Yulei Qin, Zhijian Zhou, Xiang Fei, Chaofan Qiu, Xiaoyu Tan, Gang Li, Zongyi Li, Haojia Lin, Guocan Cai, Yong Mao, Yunsheng Wu, Ke Li, Xing Sun
2024	J	`jnl`	Leveraging Open Knowledge for Advancing Task Expertise in Large Language Models. CoRR Yuncheng Yang, Yulei Qin, Tong Wu, Zihan Xu, Gang Li, Pengcheng Guo, Hang Shao, Yucheng Shi, Ke Li, Xing Sun, Jie Yang, Yun Gu
2024	J	`jnl`	Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models. CoRR Xiao Cui, Mo Zhu, Yulei Qin, Liang Xie, Wengang Zhou, Houqiang Li
2024	J	`jnl`	RESTORE: Towards Feature Shift for Vision-Language Prompt Learning. CoRR Yuncheng Yang, Chuyan Zhang, Zuopeng Yang, Yuting Gao, Yulei Qin, Ke Li, Xing Sun, Jie Yang, Yun Gu
2024	—	`conf`	Sinkhorn Distance Minimization for Knowledge Distillation. LREC/COLING Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan Xu, Tong Wu, Ke Li, Xing Sun, Wengang Zhou, Houqiang Li
2024	J	`jnl`	Sinkhorn Distance Minimization for Knowledge Distillation. CoRR Xiao Cui, Yulei Qin, Yuting Gao, Enwei Zhang, Zihan Xu, Tong Wu, Ke Li, Xing Sun, Wengang Zhou, Houqiang Li
2024	J	`jnl`	Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models. CoRR Yulei Qin, Yuncheng Yang, Pengcheng Guo, Gang Li, Hang Shao, Yuchen Shi, Zihan Xu, Yun Gu, Ke Li, Xing Sun
2023	J	`jnl`	CAPro: Webly Supervised Learning with Cross-Modality Aligned Prototypes. CoRR Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji
2023	A*	`conf`	CAPro: Webly Supervised Learning with Cross-modality Aligned Prototypes. NeurIPS Yulei Qin, Xingyu Chen, Yunhang Shen, Chaoyou Fu, Yun Gu, Ke Li, Xing Sun, Rongrong Ji
2023	A*	`conf`	FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. AAAI Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen
2023	J	`jnl`	KaryoNet: Chromosome Recognition With End-to-End Combinatorial Optimization Network. IEEE Trans. Medical Imaging Chao Xia, Jiyue Wang, Yulei Qin, Juan Wen, Zhaojiang Liu, Ning Song, Lingqian Wu, Bing Chen, Yun Gu, Jie Yang
2023	J	`jnl`	MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. CoRR 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
2023	J	`jnl`	Multi-site, Multi-domain Airway Tree Modeling (ATM'22): A Public Benchmark for Pulmonary Airway Segmentation. CoRR 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
2023	J	`jnl`	Multi-site, Multi-domain Airway Tree Modeling. Medical Image Anal. 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
2023	J	`jnl`	Towards Robust Text Retrieval with Progressive Learning. CoRR Tong Wu, Yulei Qin, Enwei Zhang, Zihan Xu, Yuting Gao, Ke Li, Xing Sun
2023	J	`jnl`	Trustworthy learning with (un)sure annotation for lung nodule diagnosis with CT. Medical Image Anal. Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang
2022	—	`conf`	An End-to-End Combinatorial Optimization Method for R-band Chromosome Recognition with Grouping Guided Attention. MICCAI (4) Chao Xia, Jiyue Wang, Yulei Qin, Yun Gu, Bing Chen, Jie Yang
2022	J	`jnl`	Faithful learning with sure data for lung nodule diagnosis. CoRR Hanxiao Zhang, Liang Chen, Xiao Gu, Minghui Zhang, Yulei Qin, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang
2022	J	`jnl`	FoPro: Few-Shot Guided Robust Webly-Supervised Prototypical Learning. CoRR Yulei Qin, Xingyu Chen, Chao Chen, Yunhang Shen, Bo Ren, Yun Gu, Jie Yang, Chunhua Shen
2022	—	`conf`	Interpretable Lung Cancer Diagnosis with Nodule Attribute Guidance and Online Model Debugging. iMIMIC@MICCAI Hanxiao Zhang, Liang Chen, Minghui Zhang, Xiao Gu, Yulei Qin, Weihao Yu, Feng Yao, Zhexin Wang, Yun Gu, Guang-Zhong Yang
2021	J	`jnl`	Alleviating Class-Wise Gradient Imbalance for Pulmonary Airway Segmentation. IEEE Trans. Medical Imaging Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang
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	J	`jnl`	Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. IEEE Trans. Medical Imaging Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang
2021	—	`conf`	Refined Local-imbalance-based Weight for Airway Segmentation in CT. MICCAI (1) Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jiayuan Sun, Jie Yang, Guang-Zhong Yang
2021	J	`jnl`	Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset. CoRR Yulei Qin, Yun Gu, Hanxiao Zhang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu
2020	—	`conf`	AirwayNet-SE: A Simple-Yet-Effective Approach to Improve Airway Segmentation Using Context Scale Fusion. ISBI Yulei Qin, Yun Gu, Hao Zheng, Mingjian Chen, Jie Yang, Yue-Min Zhu
2020	J	`jnl`	Alleviating Class-wise Gradient Imbalance for Pulmonary Airway Segmentation. CoRR Hao Zheng, Yulei Qin, Yun Gu, Fangfang Xie, Jie Yang, Jiayuan Sun, Guang-Zhong Yang
2020	—	`conf`	Learning Bronchiole-Sensitive Airway Segmentation CNNs by Feature Recalibration and Attention Distillation. MICCAI (1) Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Yue-Min Zhu
2020	J	`jnl`	Learning Tubule-Sensitive CNNs for Pulmonary Airway and Artery-Vein Segmentation in CT. CoRR Yulei Qin, Hao Zheng, Yun Gu, Xiaolin Huang, Jie Yang, Lihui Wang, Feng Yao, Yue-Min Zhu, Guang-Zhong Yang
2020	—	`conf`	Learning with Sure Data for Nodule-Level Lung Cancer Prediction. MICCAI (6) Hanxiao Zhang, Yun Gu, Yulei Qin, Feng Yao, Guang-Zhong Yang
2020	—	`conf`	Weakly Supervised Deep Learning for Breast Cancer Segmentation with Coarse Annotations. MICCAI (4) Hao Zheng, Zhiguo Zhuang, Yulei Qin, Yun Gu, Jie Yang, Guang-Zhong Yang
2019	—	`conf`	AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. MICCAI (6) Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang
2019	J	`jnl`	AirwayNet: A Voxel-Connectivity Aware Approach for Accurate Airway Segmentation Using Convolutional Neural Networks. CoRR Yulei Qin, Mingjian Chen, Hao Zheng, Yun Gu, Mali Shen, Jie Yang, Xiaolin Huang, Yue-Min Zhu, Guang-Zhong Yang
2019	J	`jnl`	Varifocal-Net: A Chromosome Classification Approach Using Deep Convolutional Networks. IEEE Trans. Medical Imaging Yulei Qin, Juan Wen, Hao Zheng, Xiaolin Huang, Jie Yang, Ning Song, Yue-Min Zhu, Lingqian Wu, Guang-Zhong Yang
2018	Misc	`conf`	Simultaneous Accurate Detection of Pulmonary Nodules and False Positive Reduction Using 3D CNNs. ICASSP Yulei Qin, Hao Zheng, Yue-Min Zhu, Jie Yang
2018	—	`conf`	Small Lesion Classification in Dynamic Contrast Enhancement MRI for Breast Cancer Early Detection. MICCAI (2) Hao Zheng, Yun Gu, Yulei Qin, Xiaolin Huang, Jie Yang, Guang-Zhong Yang
2018	J	`jnl`	Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks. CoRR Yulei Qin, Ning Song, Hao Zheng, Xiaolin Huang, Jie Yang, Yue-Min Zhu, Guang-Zhong Yang