Based on the character of cloud storage string encryption and cipher text retrieval of string research. - Hongliang Zhu; Wenhan Liu; Jing Wang; Yang Xin 001 (CCIS, 2016)

Multiple-feature-branch convolutional neural network for myocardial infarction diagnosis using electrocardiogram. - Wenhan Liu; Qijun Huang; Sheng Chang; Hao Wang 046; Jin He 002 (Biomed. Signal Process. Control., 2018)

Real-Time Multilead Convolutional Neural Network for Myocardial Infarction Detection. - Wenhan Liu; Mengxin Zhang; Yidan Zhang; Yuan Liao; Qijun Huang; Sheng Chang; Hao Wang 046; Jin He 002 (IEEE J. Biomed. Health Informatics, 2018)

A novel ECG signal compression method using spindle convolutional auto-encoder. - Fei Wang; Qiming Ma; Wenhan Liu; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Comput. Methods Programs Biomed., 2019)

Multi-information fusion neural networks for arrhythmia automatic detection. - Aiyun Chen; Fei Wang; Wenhan Liu; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Comput. Methods Programs Biomed., 2020)

A Real Time QRS Detection Algorithm Based on ET and PD Controlled Threshold Strategy. - Aiyun Chen; Yidan Zhang; Mengxin Zhang; Wenhan Liu; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Sensors, 2020)

MFB-CBRNN: A Hybrid Network for MI Detection Using 12-Lead ECGs. - Wenhan Liu; Fei Wang; Qijun Huang; Sheng Chang; Hao Wang 046; Jin He 002 (IEEE J. Biomed. Health Informatics, 2020)

Defending Label Inference and Backdoor Attacks in Vertical Federated Learning. - Yang Liu 165; Zhihao Yi; Yan Kang 001; Yuanqin He; Wenhan Liu; Tianyuan Zou; Qiang Yang 001 (CoRR, 2021)

Boost-Type Single-Stage Step-Down Resonant Power Factor Correction Converter. - Xueshan Liu; Wenhan Liu; Mingzhi He; Wei Wang 321; Qun Zhou; Jianping Xu (IEEE Trans. Ind. Electron., 2021)

Lead Separation and Combination: A Novel Unsupervised 12-Lead ECG Feature Learning Framework for Internet of Medical Things. - Wenhan Liu; Qianxi Guo; Xinwei Gao; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE Internet Things J., 2022)

A joint cross-dimensional contrastive learning framework for 12-lead ECGs and its heterogeneous deployment on SoC. - Wenhan Liu; Huaicheng Zhang; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Comput. Biol. Medicine, 2023)

Large Language Models for Information Retrieval: A Survey. - Yutao Zhu 001; Huaying Yuan; Shuting Wang 002; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Zhicheng Dou; Ji-Rong Wen (CoRR, 2023)

MaeFE: Masked Autoencoders Family of Electrocardiogram for Self-Supervised Pretraining and Transfer Learning. - Huaicheng Zhang; Wenhan Liu; Jiguang Shi; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE Trans. Instrum. Meas., 2023)

Dense lead contrast for self-supervised representation learning of multilead electrocardiograms. - Wenhan Liu; Zhoutong Li; Huaicheng Zhang; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Inf. Sci., 2023)

Mining Exploratory Queries for Conversational Search. - Wenhan Liu; Ziliang Zhao; Yutao Zhu 001; Zhicheng Dou (WWW, 2024)

Universal 12-lead ECG representation for signal denoising and cardiovascular disease detection by fusing generative and contrastive learning. - Jiguang Shi; Wenhan Liu; Huaicheng Zhang; Zhoutong Li; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Biomed. Signal Process. Control., 2024)

Bootstrap each lead's latent: A novel method for self-supervised learning of multilead electrocardiograms. - Wenhan Liu; Shurong Pan; Zhoutong Li; Sheng Chang; Qijun Huang; Nan Jiang 013 (Comput. Methods Programs Biomed., 2024)

CPSS: Fusing consistency regularization and pseudo-labeling techniques for semi-supervised deep cardiovascular disease detection using all unlabeled electrocardiograms. - Jiguang Shi; Wenhan Liu; Huaicheng Zhang; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Comput. Methods Programs Biomed., 2024)

DemoRank: Selecting Effective Demonstrations for Large Language Models in Ranking Task. - Wenhan Liu; Yutao Zhu 001; Zhicheng Dou (CoRR, 2024)

DDDG: A dual bi-directional knowledge distillation method with generative self-supervised pre-training and its hardware implementation on SoC for ECG. - Huaicheng Zhang; Wenhan Liu; Qianxi Guo; Jiguang Shi; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Expert Syst. Appl., 2024)

An adaptive threshold-based semi-supervised learning method for cardiovascular disease detection. - Jiguang Shi; Zhoutong Li; Wenhan Liu; Huaicheng Zhang; Deyu Luo; Yue Ge; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Inf. Sci., 2024)

Honest-GE: 2-step heuristic optimization and node-level embedding empower spatial-temporal graph model for ECG. - Huaicheng Zhang; Wenhan Liu; Deyu Luo; Jiguang Shi; Qianxi Guo; Yue Ge; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (Inf. Sci., 2024)

Learning Representations for Multilead Electrocardiograms From Morphology-Rhythm Contrast. - Wenhan Liu; Huaicheng Zhang; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE Trans. Instrum. Meas., 2024)

ST-ReGE: A Novel Spatial-Temporal Residual Graph Convolutional Network for CVD. - Huaicheng Zhang; Wenhan Liu; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE J. Biomed. Health Informatics, 2024)

SIGxCL: A Signal-Image-Graph Cross-Modal Contrastive Learning Framework for CVD Diagnosis Based on Internet of Medical Things. - Huaicheng Zhang; Wenhan Liu; Zhoutong Li; Jiguang Shi; Sheng Chang; Hao Wang 046; Jin He 002; Qijun Huang (IEEE Internet Things J., 2024)

How to personalize and whether to personalize? Candidate documents decide. - Wenhan Liu; Yujia Zhou 002; Yutao Zhu 001; Zhicheng Dou (Knowl. Inf. Syst., 2024)

Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning. - Tianyuan Zou; Yang Liu 165; Yan Kang 001; Wenhan Liu; Yuanqin He; Zhihao Yi; Qiang Yang 001; Ya-Qin Zhang (IEEE Trans. Big Data, 2024)

Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. - Wenhan Liu; Xinyu Ma; Yutao Zhu 001; Ziliang Zhao; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (ACL (1), 2025)

Self-supervised learning for Electrocardiogram classification using Lead Correlation and Decorrelation. - Wenhan Liu; Shurong Pan; Sheng Chang; Qijun Huang; Nan Jiang 013 (Appl. Soft Comput., 2025)

Lead-fusion Barlow twins: A fused self-supervised learning method for multi-lead electrocardiograms. - Wenhan Liu; Shurong Pan; Zhoutong Li; Sheng Chang; Qijun Huang; Nan Jiang 013 (Inf. Fusion, 2025)

CoRanking: Collaborative Ranking with Small and Large Ranking Agents. - Wenhan Liu; Xinyu Ma; Yutao Zhu 001; Lixin Su; Shuaiqiang Wang; Dawei Yin; Zhicheng Dou (CoRR, 2025)

Direct Lead Assignment: A Simple and Scalable Contrastive Learning Method for ECG and Its IoMT Applications. - Wenhan Liu; Shurong Pan; Sheng Chang; Qijun Huang; Nan Jiang 013 (IEEE Internet Things J., 2025)

ReasonRank: Empowering Passage Ranking with Strong Reasoning Ability. - Wenhan Liu; Xinyu Ma; Weiwei Sun 001; Yutao Zhu 001; Yuchen Li; Dawei Yin; Zhicheng Dou (CoRR, 2025)