An ultra-low detection-limit optofluidic biosensor based on Fabry-Pérot cavity. - Pengbo Liu; Hui Huang 002; Tun Cao; Min Bai; Haibo Wu; Xueyu Liu; Zhenan Tang (ICCA, 2014)

Comparison of different shielding methods in acquisition of physiological signals. - Yanbing Jiang; Ning Ji; Hui Wang 051; Xueyu Liu; Yanjuan Geng; Peng Li 019; Shixiong Chen; Guanglin Li 001 (EMBC, 2017)

Flexible Non-contact Electrodes for Bioelectrical Signal Monitoring. - Shuting Liu; Xueyu Liu; Yanbing Jiang; Xin Wang 088; Pingao Huang; Hui Wang 051; Mingxing Zhu; Jingqian Tan; Peng Li 019; Chuang Lin 001; Guanghe Zhang; Shixiong Chen; et al. (EMBC, 2018)

MSA-MIL: A deep residual multiple instance learning model based on multi-scale annotation for classification and visualization of glomerular spikes. - Yilin Chen; Ming Li; Yongfei Wu; Xueyu Liu; Fang Hao; Daoxiang Zhou; Xiaoshuang Zhou; Chen Wang (CoRR, 2020)

An efficient glomerular object locator for renal whole slide images using proposal-free network and dynamic scale evaluation method. - Xueyu Liu; Ming Li; Yongfei Wu; Yilin Chen; Fang Hao; Daoxiang Zhou; Chen Wang; Chuanfeng Ma; Guangze Shi; Xiaoshuang Zhou (AI Commun., 2021)

Research on The Risk Factors and Evaluation Decision Method of The Grid Trading Agency. - Jinchang Zhang; Yifei Tong; Mingyu Che; Le Liu; Xueyu Liu; Zhigang Liu; Yinan Yang (ICITEE, 2022)

IDA-MIL: Classification of Glomerular with Spike-like Projections via Multiple Instance Learning with Instance-level Data Augmentation. - Xi Wu; Yilin Chen; Xinyu Li; Xueyu Liu; Yifei Liu; Yongfei Wu; Ming Li; Xiaoshuang Zhou; Chen Wang (Comput. Methods Programs Biomed., 2022)

Ada-CCFNet: Classification of multimodal direct immunofluorescence images for membranous nephropathy via adaptive weighted confidence calibration fusion network. - Ruili Wang; Xueyu Liu; Fang Hao; Xing Chen; Xinyu Li; Chen Wang; Dan Niu; Ming Li; Yongfei Wu (Eng. Appl. Artif. Intell., 2023)

Prediction of breast cancer metastasis by deep learning pathology. - Yuanyue Lu; Jun Zhang; Xueyu Liu; Zhihong Zhang; Wangxing Li; Xiaoshuang Zhou; Rongshan Li (IET Image Process., 2023)

Diagnosis of diabetic kidney disease in whole slide images via AI-driven quantification of pathological indicators. - Xueyu Liu; Yongfei Wu; Yilin Chen; Dongna Hui; Jianan Zhang; Fang Hao; Yuanyue Lu; Hangbei Cheng; Yue Zeng; Weixia Han; Chen Wang; Ming Li; et al. (Comput. Biol. Medicine, 2023)

Multi-instance Curriculum Learning for Histopathology Image Classifications with Hard Negative Mining and Positive Augmentation. - Zihao Mi; Xueyu Liu; Jianan Zhang; Guangze Shi; Yidi Li; Yongfei Wu (BIBM, 2024)

Feature-Prompting GBMSeg: One-Shot Reference Guided Training-Free Prompt Engineering for Glomerular Basement Membrane Segmentation. - Xueyu Liu; Guangze Shi; Rui Wang; Yexin Lai; Jianan Zhang; Lele Sun; Quan Yang; Yongfei Wu; Ming Li; Weixia Han; Wen Zheng (MICCAI (9), 2024)

Segmentation of skin lesion using superpixel guided generative adversarial network with dual-stream patch-based discriminators. - Jiahao Zhang; Miao Che; Zongfei Wu; Yifei Liu; Xueyu Liu; Hao Zhang; Yongfei Wu (Biomed. Signal Process. Control., 2024)

Swin Transformer based detection and segmentation networks for measurement and quantification analysis of arteriolar vessels from renal whole slide images. - Chenyang Zhou; Xueyu Liu; Shaohua Liang; Yexin Lai; Miao Che; Ming Li; Zhenhuan Xu; Shu Feng; Yongfei Wu (Biomed. Signal Process. Control., 2024)

Graph-based multi-Feature fusion method for speech emotion recognition. - Xueyu Liu; Jie Lin; Chao Wang (CoRR, 2024)

Multi-scale multi-instance contrastive learning for whole slide image classification. - Jianan Zhang; Fang Hao; Xueyu Liu; Shupei Yao; Yongfei Wu; Ming Li; Wen Zheng (Eng. Appl. Artif. Intell., 2024)

Video platforms' advertising and pricing decisions in the presence of derivative videos. - Xueyu Liu; Shue Mei; Weijun Zhong (Electron. Commer. Res. Appl., 2024)

Transformer based multiple superpixel-instance learning for weakly supervised segmenting lesions of interstitial lung disease. - Yexin Lai; Xueyu Liu; Linning E; Yujing Cheng; Shuyan Liu; Yongfei Wu; Wen Zheng (Expert Syst. Appl., 2024)

Level set guided region prototype rectification network for retinal vessel segmentation. - Yifei Liu; Qingtian Wu; Xueyu Liu; Junyu Lu; Zhenhuan Xu; Yongfei Wu; Shu Feng (Biomed. Signal Process. Control., 2024)

Double similarities weighted multi-instance learning kernel and its application. - Jianan Zhang; Yongfei Wu; Fang Hao; Xueyu Liu; Ming Li; Daoxiang Zhou; Wen Zheng (Expert Syst. Appl., 2024)

eWOM Information Richness and Online User Review Behavior: Evidence from TripAdvisor. - Xueyu Liu; Jie Lin; Xiaoyan Jiang; Tingzhen Chang; Haowen Lin (J. Theor. Appl. Electron. Commer. Res., 2024)

Classification and quantification of glomerular spike-like projections via deep residual multiple instance learning with multi-scale annotation. - Yilin Chen; Xueyu Liu; Fang Hao; Wen Zheng; Xiaoshuang Zhou; Ming Li; Yongfei Wu; Chen Wang (Multim. Tools Appl., 2024)

Graph-Based Multi-Feature Fusion Method for Speech Emotion Recognition. - Xueyu Liu; Jie Lin; Chao Wang 115 (Int. J. Pattern Recognit. Artif. Intell., 2024)

Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater. - Xueyu Liu; Rui Wang; Yexin Lai; Guangze Shi; Feixue Shao; Fang Hao; Jianan Zhang; Jia Shen; Yongfei Wu; Wen Zheng (CVPR, 2025)

Intensity grading of kidney biopsy direct immunofluorescence IgG image via semantically enhanced feature network. - Junfeng Wu; Ruili Wang; Xueyu Liu; Zhenhuan Xu; Yongfei Wu (Biomed. Signal Process. Control., 2025)

Multi-task cyclical consistency learning based medical image segmentation. - Le Han; Jianan Zhang; Yan Hu; Xueyu Liu; Guanghui Yue 001; Mingqiang Wei; Yongfei Wu (Eng. Appl. Artif. Intell., 2025)

GLMKD: Joint global and local mutual knowledge distillation for weakly supervised lesion segmentation in histopathology images. - Hangbei Cheng; Xueyu Liu; Jun Zhang 095; Xiaorong Dong; Xuetao Ma 001; Yansong Zhang; Hao Meng; Xing Chen; Guanghui Yue 001; Yidi Li; Yongfei Wu (Expert Syst. Appl., 2025)

Segment Any Tissue: One-shot reference guided training-free automatic point prompting for medical image segmentation. - Xueyu Liu; Guangze Shi; Rui Wang; Yexin Lai; Jianan Zhang; Weixia Han; Min Lei; Ming Li; Xiaoshuang Zhou; Yongfei Wu; Chen Wang; Wen Zheng (Medical Image Anal., 2025)

Multi-instance curriculum learning for histopathology image classification with bias reduction. - Zihao Mi; Jianan Zhang; Xueyu Liu; Guanghui Yue 001; Junhong Yue; Mingqiang Wei; Yidi Li; Yongfei Wu (Medical Image Anal., 2025)

Deep Reinforcement Learning Driven Weakly Supervised Lesion Segmentation in Lung CT Sequence Images. - Yexin Lai; Xueyu Liu; Xinyi Liang; Chenyang Rong; Yongfei Wu; Wen Zheng (IEEE Trans. Instrum. Meas., 2025)

DSAGL: Dual-Stream Attention-Guided Learning for Weakly Supervised Whole Slide Image Classification. - Daoxi Cao; Hangbei Cheng; Yijin Li; Ruolin Zhou; Xinyi Li; Xuehan Zhang; Binwei Li; Xuancheng Gu; Xueyu Liu; Yongfei Wu (CoRR, 2025)

FMaMIL: Frequency-Driven Mamba Multi-Instance Learning for Weakly Supervised Lesion Segmentation in Medical Images. - Hangbei Cheng; Xiaorong Dong; Xueyu Liu; Jianan Zhang; Xuetao Ma 001; Mingqiang Wei; Liansheng Wang; Junxin Chen; Yongfei Wu (CoRR, 2025)

MSMTSeg: Multi-Stained Multi-Tissue Segmentation of Kidney Histology Images via Generative Self-Supervised Meta-Learning Framework. - Xueyu Liu; Rui Wang; Yexin Lai; Yongfei Wu; Hangbei Cheng; Yuanyue Lu; Jianan Zhang; Ning Hao; Chenglong Ban; Yanru Wang; Shuqin Tang; Yuxuan Yang; et al. (IEEE J. Biomed. Health Informatics, 2025)