Sequential Blind Signal Extraction with the Linear Predictor. - Yunxia Li; Zhang Yi 001 (ISNN (3), 2007)

An algorithm for extracting fetal electrocardiogram. - Yunxia Li; Zhang Yi 001 (Neurocomputing, 2008)

Extraction of Periodic Signals Based on Maximum Likelihood Estimation. - Yunxia Li; Changyuan Fan (ICNC (2), 2009)

Face Recognition by Nonnegative Independent Component Analysis. - Yunxia Li; Changyuan Fan (ICNC (2), 2009)

Semiparametric Sequential Testing for Multiple Change Points in Piecewise Constant Hazard Functions with Long-Term Survivors. - Wei Zhang 064; Lianfen Qian; Yunxia Li (Commun. Stat. Simul. Comput., 2014)

Support vector set selection using pulse-coupled neural networks. - Yunxia Li; Zhang Yi 001; Jian Cheng Lv 001 (Neural Comput. Appl., 2014)

Cerebral angiography, blood flow and vascular reactivity in progressive hypertension. - Yunxia Li; Qiang Shen; Shiliang Huang; Wei Li 041; Eric R. Muir; Justin A. Long; Timothy Q. Duong (NeuroImage, 2015)

Non-Divergence of Stochastic Discrete Time Algorithms for PCA Neural Networks. - Jian Cheng Lv 001; Zhang Yi 001; Yunxia Li (IEEE Trans. Neural Networks Learn. Syst., 2015)

Variational Mode Decomposition-Based Heart Rate Estimation Using Wrist-Type Photoplethysmography During Physical Exercise. - Wenwen He; Yalan Ye; Yunxia Li; Haijin Xu; Li Lu 001; Wenxia Huang; Ming Sun (ICPR, 2018)

Study on Load Parameters Estimation during AMT Startup. - Yunxia Li; Yufeng Lu; Huilai Sun; Peng Yan (J. Control. Sci. Eng., 2018)

Cross-correlation conditional restricted Boltzmann machines for modeling motion style. - Chunzhi Xie; Jiancheng Lv 001; Yunxia Li; Yongsheng Sang (Knowl. Based Syst., 2018)

A Fast and Robust Non-Sparse Signal Recovery Algorithm for Wearable ECG Telemonitoring Using ADMM-Based Block Sparse Bayesian Learning. - Yunfei Cheng; Yalan Ye; Mengshu Hou; Wenwen He; Yunxia Li; Xuesong Deng (Sensors, 2018)

Dementia Detection by Analyzing Spontaneous Mandarin Speech. - Zhaoci Liu; Zhiqiang Guo; Zhenhua Ling; Shijin Wang 001; Lingjing Jin; Yunxia Li (APSIPA, 2019)

Generating Style-Specific Chinese Tang Poetry With a Simple Actor-Critic Model. - Dayiheng Liu; Jiancheng Lv 001; Yunxia Li (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

Text Classification by Contrastive Learning and Cross-lingual Data Augmentation for Alzheimer's Disease Detection. - Zhiqiang Guo; Zhaoci Liu; Zhenhua Ling; Shijin Wang 001; Lingjing Jin; Yunxia Li (COLING, 2020)

Classification of Mild Cognitive Impairment from multi-domain features of resting-state EEG. - Yuling Li; Shasha Xiao; Yingjie Li; Yunxia Li; Banghua Yang (EMBC, 2020)

DCDT: A Digital Clock Drawing Test System for Cognitive Impairment Screening. - Feiyang Xu; Yue Ding; Zhenhua Ling; Xin Li 064; Yunxia Li; Shijin Wang 001 (ICDE, 2020)

Segmenting ears of winter wheat at flowering stage using digital images and deep learning. - Juncheng Ma; Yunxia Li; Keming Du; Feixiang Zheng; Lingxian Zhang; Zhihong Gong; Weihua Jiao (Comput. Electron. Agric., 2020)

Improving segmentation accuracy for ears of winter wheat at flowering stage by semantic segmentation. - Juncheng Ma; Yunxia Li; Hongjie Liu; Keming Du; Feixiang Zheng; Yongfeng Wu; Lingxian Zhang (Comput. Electron. Agric., 2020)

Robust Heart Rate Monitoring for Quasi-Periodic Motions by Wrist-Type PPG Signals. - Wenwen He; Yalan Ye; Li Lu 001; Yunfei Cheng; Yunxia Li; Zhengning Wang (IEEE J. Biomed. Health Informatics, 2020)

Online Cross-subject Emotion Recognition from ECG via Unsupervised Domain Adaptation. - Wenwen He; Yalan Ye; Yunxia Li; Tongjie Pan; Li Lu 001 (EMBC, 2021)

Selecting and Analyzing Speech Features for the Screening of Mild Cognitive Impairment. - Qin Yang; Feiyang Xu; Zhenhua Ling; Xin Li 064; Yunxia Li; Decheng Fang (EMBC, 2021)

Cross-subject EEG-based Emotion Recognition Using Adversarial Domain Adaption with Attention Mechanism. - Yalan Ye; Xin Zhu; Yunxia Li; Tongjie Pan; Wenwen He (EMBC, 2021)

Detecting Alzheimer's Disease from Speech Using Neural Networks with Bottleneck Features and Data Augmentation. - Zhaoci Liu; Zhiqiang Guo; Zhenhua Ling; Yunxia Li (ICASSP, 2021)

Estimation of leaf area index for winter wheat at early stages based on convolutional neural networks. - Yunxia Li; Hongjie Liu; Juncheng Ma; Lingxian Zhang (Comput. Electron. Agric., 2021)

Functional Brain Networks in Mild Cognitive Impairment Based on Resting Electroencephalography Signals. - Nadia Youssef; Shasha Xiao; Meng Liu; Haipeng Lian; Renren Li; Xi Chen; Wei Zhang; Xiaoran Zheng; Yunxia Li; Yingjie Li (Frontiers Comput. Neurosci., 2021)

AMT Starting Control as a Soft Starter for Belt Conveyors Using a Data-Driven Method. - Yunxia Li; Lei Li; Chengliang Zhang (Symmetry, 2021)

Dementia Detection by Fusing Speech and Eye-Tracking Representation. - Zhengyan Sheng; Zhiqiang Guo; Xin Li 064; Yunxia Li; Zhenhua Ling (ICASSP, 2022)

Identification method of vegetable diseases based on transfer learning and attention mechanism. - Xue Zhao; Kaiyu Li; Yunxia Li; Juncheng Ma; Lingxian Zhang (Comput. Electron. Agric., 2022)

Towards improved accuracy of UAV-based wheat ears counting: A transfer learning method of the ground-based fully convolutional network. - Juncheng Ma; Yunxia Li; Hongjie Liu; Yongfeng Wu; Lingxian Zhang (Expert Syst. Appl., 2022)

Deterministic policy optimization with clipped value expansion and long-horizon planning. - ShiQing Gao; Haibo Shi; Fang Wang 010; Zijian Wang; Siyu Zhang; Yunxia Li; Yaoru Sun (Neurocomputing, 2022)

Zero-Shot Learning via Structure-Aligned Generative Adversarial Network. - Chenwei Tang; Zhenan He 001; Yunxia Li; Jiancheng Lv 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

A Novel Diffusion Tensor Image Analysis Along the Perivascular Space Method to Evaluate Glymphatic Alterations in Alzheimer's Disease. - Jiayi Zhong; Luyao Wang; Yunxia Li; Jiehui Jiang (EMBC, 2023)

Identifying Critical Nodes in the Cognitive Decline Process through EEG Network Community Detection Based on Autoencoder. - Jingnan Sun; Meng Liu; Anruo Shen; Xiaogang Chen; Xiaorong Gao; Yunxia Li (EMBC, 2024)

Seeding detection and distribution evaluation using the developed automatic maize seeding machine. - Yunxia Li; Zhao Zhang 016; Afshin Azizi; Muhammad Hilal Kabir; C. Igathinathane; Xiqing Wang; Muhammad Naveed Tahir; Xiongzhe Han; Man Zhang 003 (Comput. Electron. Agric., 2024)

Adaptive spatiotemporal encoding network for cognitive assessment using resting state EEG. - Jingnan Sun; Anruo Shen; Yike Sun; Xiaogang Chen; Yunxia Li; Xiaorong Gao; Bai Lu (npj Digit. Medicine, 2024)

S2VQ-VAE: Semi-Supervised Vector Quantised-Variational AutoEncoder for Automatic Evaluation of Trail Making Test. - Zeshen Tang; Shiyu Tang; Haoran Wang 010; Renren Li; Xiaochen Zhang; Wei Zhang; Xiao Yuan; Yaning Zang; Yanping Li; Tian Zhou; Yunxia Li (IEEE J. Biomed. Health Informatics, 2024)

Adaptive vascular enhancement of flap images in the second near-infrared window based on multiscale fusion and local visual saliency. - Lu Fang; Huaixuan Sheng; Huizhu Li; Shunyao Li; Sijia Feng; Mo Chen; Yunxia Li; Jun Chen; Fuchun Chen (Signal Image Video Process., 2024)

Automated and quantitative assessment of lymphatic contractile function based on NIR-II imaging. - Lu Fang; Shuaicheng Guo; Huizhu Li; Huaixuan Sheng; Shunyao Li; Sijia Feng; Yunxia Li; Xinxian Meng; Shaoqing Feng; Yueming Wang; Yan Wo; Jun Chen; et al. (Biomed. Signal Process. Control., 2025)

Deep-Learning-Based Texture Enhancement of Low-Resolution Brain T1-Weighted Magnetic Resonance Imaging for Alzheimer's Disease Diagnosis. - Jiacheng Yang; Jie Sun; Wei Zhang; Qingmin Wang; Bixiao Cui; Yunxia Li; Han Lv; Jiehui Jiang (IEEE Trans. Consumer Electron., 2025)

FROG: A Fine-Grained Spatiotemporal Graph Neural Network With Self-Supervised Guidance for Early Diagnosis of Alzheimer's Disease. - Shuoyan Zhang; Qingmin Wang; Min Wei; Jiayi Zhong; Ying Zhang; Ziyan Song; Chenyang Li; Xiaochen Zhang; Ying Han; Yunxia Li; Han Lv; Jiehui Jiang (IEEE J. Biomed. Health Informatics, 2025)