Aiping Liu - RankMe

124 papers A* 14Misc 1Journal 97Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging multi-scale transform and sparse representation: Unified Gabor Tensor Sparse Representation for Multi-dimensional medical image fusion. Inf. Fusion Yuhang Chen, Aiping Liu, Yu Liu, Zhiyang He, Xiaoliang Lu, Xun Chen
2026	J	`jnl`	Clinical priors-inspired privileged knowledge distillation for reliable pancreatic lesion classification. Medical Image Anal. Qiaoyu Han, Gang Yang, Lei Zhang, Xiangpeng Hu, Huizhong Gan, Xun Chen, Aiping Liu, Yue Yu
2026	J	`jnl`	DTSF: A dual-branch temporal and spectral fusion model with data augmentation for intracranial EEG classification. Biomed. Signal Process. Control. Kun Wang, Xun Chen, Chang Li, Ruobing Qian, Aiping Liu
2026	J	`jnl`	Dual Annotation Learning with Selective Uncertainty for medical image segmentation with noisy labels. Biomed. Signal Process. Control. Qiaoyu Han, Gang Yang, Xun Chen, Aiping Liu, Yue Yu
2026	J	`jnl`	Enhancing realism and diversity in data augmentation for robust HD-sEMG gesture recognition against electrode shift. Biomed. Signal Process. Control. Haikong Lu, Le Wu, Shengcai Duan, Aiping Liu, Xun Chen
2026	J	`jnl`	Enhancing subject-independent SSVEP-BCIs via joint style characteristic and content representation augmentation. Biomed. Signal Process. Control. Wenlong Ding, Aiping Liu, Heng Cui, Jianhua Shan, Xun Chen
2026	J	`jnl`	Generalizable Seizure Prediction With LLMs: Converting EEG to Textual Representations. IEEE J. Biomed. Health Informatics Yuchang Zhao, Aiping Liu, Chang Li, Lanlan Wang, Ruobing Qian, Xun Chen
2026	J	`jnl`	PPG-based continuous arterial blood pressure estimation via multi-scale cross attention fusion. Biomed. Signal Process. Control. Zhonghe Tian, Aiping Liu, Junxin Chen, Dan Wang, Xun Chen
2026	J	`jnl`	Self-Supervised Pre-Training for EEG denoising. Adv. Eng. Informatics Yilin Han, Aiping Liu, Heng Cui, Xun Chen
2026	J	`jnl`	Single-channel EEG-based sleep staging with rhythm representation and contrastive learning. Biomed. Signal Process. Control. Huihui Zhou, Aiping Liu, Heng Cui, Feng Wan, Yanyan Wang, Xun Chen
2025	J	`jnl`	A Flexible Spatio-Temporal Architecture Design for Artifact Removal in EEG With Arbitrary Channel-Settings. IEEE J. Biomed. Health Informatics Yilin Han, Aiping Liu, Heng Cui, Xun Chen
2025	J	`jnl`	A GAN Guided Parallel CNN and Transformer Network for EEG Denoising. IEEE J. Biomed. Health Informatics Jin Yin, Aiping Liu, Chang Li, Ruobing Qian, Xun Chen
2025	A*	`conf`	A Lottery Ticket Hypothesis Approach with Sparse Fine-tuning and MAE for Image Forgery Detection and Localization. AAAI Jiaying Zhu, Dong Li, Xueyang Fu, Gege Shi, Jie Xiao, Aiping Liu, Zheng-Jun Zha
2025	J	`jnl`	A paralleled CNN and Transformer network for PPG-based cuff-less blood pressure estimation. Biomed. Signal Process. Control. Zhonghe Tian, Aiping Liu, Guokang Zhu, Xun Chen
2025	J	`jnl`	Active source-free domain adaptation for intracranial EEG classification via neighborhood uncertainty and diversity. Biomed. Signal Process. Control. Kun Wang, Ming Yang, Aiping Liu, Chang Li, Ruobing Qian, Xun Chen
2025	J	`jnl`	CH-Net: A Cross Hybrid Network for Medical Image Segmentation. IEEE Trans. Artif. Intell. Jiale Li, Aiping Liu, Wei Wei, Ruobing Qian, Xun Chen
2025	J	`jnl`	Data Augmentation for Seizure Prediction With Generative Diffusion Model. IEEE Trans. Cogn. Dev. Syst. Kai Shu, Le Wu, Yuchang Zhao, Aiping Liu, Ruobing Qian, Xun Chen
2025	J	`jnl`	Degradation-Aware Prompted Transformer for Unified Medical Image Restoration. IEEE Trans. Image Process. Jinbao Wei, Gang Yang, Zhijie Wang, Shimin Tao, Aiping Liu, Xun Chen
2025	J	`jnl`	Dual-Domain Self-Consistency-Enhanced Deep Unfolding Network for accelerated MRI reconstruction. Comput. Methods Programs Biomed. Zhijie Wang, Jinbao Wei, Gang Yang, Aiping Liu, Wei Wei, Bensheng Qiu, Xun Chen
2025	J	`jnl`	EEGDfus: A Conditional Diffusion Model for Fine-Grained EEG Denoising. IEEE J. Biomed. Health Informatics Xiaoyang Huang, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen
2025	J	`jnl`	Edge-Centric Functional-Connectivity-Based Cofluctuation-Guided Subcortical Connectivity Network Construction. IEEE Trans. Cogn. Dev. Syst. Qinrui Ling, Aiping Liu, Taomian Mi, Piu Chan, Xun Chen
2025	J	`jnl`	EmoFeedback CoRR Jingyang Jia, Kai Shu, Gang Yang, Long Xing, Xun Chen, Aiping Liu
2025	J	`jnl`	Enhancing Domain Diversity of Transfer Learning-Based SSVEP-BCIs by the Reconstruction of Channel Correlation. IEEE Trans. Biomed. Eng. Wenlong Ding, Aiping Liu, Chengjuan Xie, Kai Wang, Xun Chen
2025	J	`jnl`	GZSL-Lite: A Lightweight Generalized Zero-Shot Learning Network for SSVEP-Based BCIs. IEEE Trans. Biomed. Eng. Xietian Wang, Aiping Liu, Heng Cui, Xingui Chen, Kai Wang, Xun Chen
2025	A*	`conf`	Learnable Frequency Decomposition for Image Forgery Detection and Localization. IJCAI Dong Li, Jiaying Zhu, Yidi Liu, Xin Lu, Xueyang Fu, Jiawei Liu, Aiping Liu, Zheng-Jun Zha
2025	J	`jnl`	Multi-Contrast MRI Arbitrary-Scale Super-Resolution via Dynamic Implicit Network. IEEE Trans. Circuits Syst. Video Technol. Jinbao Wei, Gang Yang, Wei Wei, Aiping Liu, Xun Chen
2025	—	`conf`	Proxy-Label Guided Representation Learning for Brain Imaging Genomics. VSIP Xin Lin, Aiping Liu, Yu Li
2025	A*	`conf`	Rethinking Diffusion Bridge Model with Dual Alignments for Medical Image Synthesis. ACM Multimedia Jinbao Wei, Yuhang Chen, Zhijie Wang, Gang Yang, Shimin Tao, Jian Gao, Aiping Liu, Xun Chen
2024	J	`jnl`	A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG. IEEE Trans. Instrum. Meas. Heng Cui, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen
2024	J	`jnl`	A crowd simulation model based on emotional cognition and contagion for emergency evacuation. J. Intell. Fuzzy Syst. Xinlu Zong, Hejing Li, Aiping Liu, Hui Xu
2024	J	`jnl`	An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning. Comput. Biol. Medicine Yikai Gao, Aiping Liu, Heng Cui, Ruobing Qian, Xun Chen
2024	J	`jnl`	Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction. IEEE Trans. Cogn. Dev. Syst. Ziye Zhang, Aiping Liu, Yikai Gao, Xinrui Cui, Ruobing Qian, Xun Chen
2024	J	`jnl`	Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation. CoRR Fanzhe Yan, Gang Yang, Yu Li, Aiping Liu, Xun Chen
2024	J	`jnl`	Enhancing EEG artifact removal through neural architecture search with large kernels. Adv. Eng. Informatics Le Wu, Aiping Liu, Chang Li, Xun Chen
2024	J	`jnl`	Hue Guidance Network for Single Image Reflection Removal. IEEE Trans. Neural Networks Learn. Syst. Yurui Zhu, Xueyang Fu, Zheyu Zhang, Aiping Liu, Zhiwei Xiong, Zheng-Jun Zha
2024	J	`jnl`	Imagined Speech Reconstruction From Neural Signals - An Overview of Sources and Methods. IEEE Trans. Instrum. Meas. Jiye Tang, Junxin Chen, Xu Xu, Aiping Liu, Xun Chen
2024	A*	`conf`	Learning Discriminative Noise Guidance for Image Forgery Detection and Localization. AAAI Jiaying Zhu, Dong Li, Xueyang Fu, Gang Yang, Jie Huang, Aiping Liu, Zheng-Jun Zha
2024	J	`jnl`	Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction. Knowl. Based Syst. Jinbao Wei, Gang Yang, Zhijie Wang, Yu Liu, Aiping Liu, Xun Chen
2024	—	`conf`	Motion Aware Event Representation-Driven Image Deblurring. ECCV (46) Zhijing Sun, Xueyang Fu, Longzhuo Huang, Aiping Liu, Zheng-Jun Zha
2024	J	`jnl`	Multi-Dimensional Medical Image Fusion With Complex Sparse Representation. IEEE Trans. Biomed. Eng. Yuhang Chen, Aiping Liu, Yu Liu, Zhiyang He, Cong Liu, Xun Chen
2024	J	`jnl`	Rethinking Deep Supervision for Brain Tumor Segmentation. IEEE Trans. Artif. Intell. Jiale Li, Aiping Liu, Yu Li, Wei Wei, Ruobing Qian, Qingguo Xie, Bensheng Qiu, Xun Chen
2024	J	`jnl`	SFE-Net: Spatial-Frequency Enhancement Network for robust nuclei segmentation in histopathology images. Comput. Biol. Medicine Jinsha Chen, Gang Yang, Aiping Liu, Xun Chen, Ji Liu
2024	J	`jnl`	SIMFusion: A semantic information-guided modality-specific fusion network for MR Images. Inf. Fusion Xiaowen Zhang, Aiping Liu, Gang Yang, Yu Liu, Xun Chen
2024	A*	`conf`	TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities. AAAI Zheyu Zhang, Gang Yang, Yueyi Zhang, Huanjing Yue, Aiping Liu, Yunwei Ou, Jian Gong, Xiaoyan Sun
2023	J	`jnl`	Automatic Detection of Congestive Heart Failure Based on Multiscale Residual UNet++: From Centralized Learning to Federated Learning. IEEE Trans. Instrum. Meas. Liang Zou, Zexin Huang, Xinhui Yu, Jiannan Zheng, Aiping Liu, Meng Lei
2023	J	`jnl`	Connectivity-Based Brain Parcellation for Parkinson's Disease. IEEE Trans. Biomed. Eng. Yu Li, Aiping Liu, Liangyong Li, Yunhu Wu, Martin J. McKeown, Xun Chen, Feng Wu
2023	J	`jnl`	Continual Image Deraining With Hypergraph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. Xueyang Fu, Jie Xiao, Yurui Zhu, Aiping Liu, Feng Wu, Zheng-Jun Zha
2023	J	`jnl`	Cross-user gesture recognition from sEMG signals using an optimal transport assisted student-teacher framework. Comput. Biol. Medicine Xinhui Li, Xu Zhang, Xiang Chen, Xun Chen, Aiping Liu
2023	J	`jnl`	Data Augmentation for Seizure Prediction with Generative Diffusion Model. CoRR Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen
2023	J	`jnl`	EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion. IEEE Trans. Affect. Comput. Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Jun Liu, Xun Chen
2023	J	`jnl`	Image De-Raining Transformer. IEEE Trans. Pattern Anal. Mach. Intell. Jie Xiao, Xueyang Fu, Aiping Liu, Feng Wu, Zheng-Jun Zha
2023	J	`jnl`	MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction. Comput. Biol. Medicine Gang Yang, Li Zhang, Aiping Liu, Xueyang Fu, Xun Chen, Rujing Wang
2023	J	`jnl`	MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images. IEEE Trans. Instrum. Meas. Xiaowen Zhang, Aiping Liu, Pan Jiang, Ruobing Qian, Wei Wei, Xun Chen
2023	J	`jnl`	PAN-Guided Band-Aware Multi-Spectral Feature Enhancement for Pan-Sharpening. IEEE Trans. Computational Imaging Man Zhou, Keyu Yan, Xueyang Fu, Aiping Liu, Chengjun Xie
2023	A*	`conf`	PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. ICCV Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng
2023	J	`jnl`	PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. CoRR Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng
2023	J	`jnl`	Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization. IEEE Trans. Instrum. Meas. Deng Liang, Aiping Liu, Yikai Gao, Chang Li, Ruobing Qian, Xun Chen
2023	J	`jnl`	Signal Processing for Brain-Computer Interfaces: A review and current perspectives. IEEE Signal Process. Mag. Le Wu, Aiping Liu, Rabab K. Ward, Z. Jane Wang, Xun Chen
2022	J	`jnl`	A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation. IEEE J. Biomed. Health Informatics Qinrui Ling, Aiping Liu, Yu Li, Xueyang Fu, Xun Chen, Martin J. McKeown, Feng Wu
2022	J	`jnl`	A Novel SSA-CCA Framework forMuscle Artifact Removal from Ambulatory EEG. Virtual Real. Intell. Hardw. Yuheng Feng, Qingze Liu, Aiping Liu, Ruobing Qian, Xun Chen
2022	J	`jnl`	A general sample-weighted framework for epileptic seizure prediction. Comput. Biol. Medicine Yikai Gao, Aiping Liu, Xinrui Cui, Ruobing Qian, Xun Chen
2022	J	`jnl`	Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex. Comput. Biol. Medicine Yu Li, Aiping Liu, Xueyang Fu, Martin J. McKeown, Z. Jane Wang, Xun Chen
2022	J	`jnl`	Decoding muscle force from individual motor unit activities using a twitch force model and hybrid neural networks. Biomed. Signal Process. Control. Xinhui Li, Xu Zhang, Xiao Tang, Maoqi Chen, Xiang Chen, Xun Chen, Aiping Liu
2022	J	`jnl`	Detecting the universal adversarial perturbations on high-density sEMG signals. Comput. Biol. Medicine Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen
2022	J	`jnl`	Effective Pan-Sharpening With Transformer and Invertible Neural Network. IEEE Trans. Geosci. Remote. Sens. Man Zhou, Xueyang Fu, Jie Huang, Feng Zhao, Aiping Liu, Rujing Wang
2022	J	`jnl`	Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control. IEEE Trans. Instrum. Meas. Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen
2022	A*	`conf`	Memory-augmented Deep Conditional Unfolding Network for Pansharpening. CVPR Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang
2022	A*	`conf`	Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. ACM Multimedia Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu
2022	J	`jnl`	Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. CoRR Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu
2022	A*	`conf`	Normalization-based Feature Selection and Restitution for Pan-sharpening. ACM Multimedia Man Zhou, Jie Huang, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, Feng Zhao
2022	A*	`conf`	Pan-Sharpening with Customized Transformer and Invertible Neural Network. AAAI Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu
2022	J	`jnl`	Progressive Pan-Sharpening via Cross-Scale Collaboration Networks. IEEE Geosci. Remote. Sens. Lett. Zihe Yang, Xueyang Fu, Aiping Liu, Zheng-Jun Zha
2022	—	`conf`	Spatial-Frequency Domain Information Integration for Pan-Sharpening. ECCV (18) Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao
2022	J	`jnl`	Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey. IEEE Signal Process. Mag. Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang
2022	J	`jnl`	Transformer-Based End-to-End Anatomical and Functional Image Fusion. IEEE Trans. Instrum. Meas. Jing Zhang, Aiping Liu, Dan Wang, Yu Liu, Z. Jane Wang, Xun Chen
2021	—	`conf`	A Decomposition-based Network for Non-uniform Illuminated Retinal Image Enhancement. ISMICT Lujian Ye, Xueyang Fu, Aiping Liu, Zheng-Jun Zha
2021	J	`jnl`	A State-Dependent IVA Model for Muscle Artifacts Removal From EEG Recordings. IEEE Trans. Instrum. Meas. Aiping Liu, Gongzheng Song, Soojin Lee, Xueyang Fu, Xun Chen
2021	J	`jnl`	Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT. CoRR Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen
2021	J	`jnl`	Constrained independent vector extraction of quasi-periodic signals from multiple data sets. Signal Process. Rencheng Song, Guoping Wang, Juan Cheng, Aiping Liu, Chang Li, Xun Chen
2021	J	`jnl`	Emotion Recognition From Multi-Channel EEG via Deep Forest. IEEE J. Biomed. Health Informatics Juan Cheng, Meiyao Chen, Chang Li, Yu Liu, Rencheng Song, Aiping Liu, Xun Chen
2021	J	`jnl`	Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation. IEEE Signal Process. Mag. Aiping Liu, Soojin Lee, Xun Chen, Martin J. McKeown, Z. Jane Wang
2021	A*	`conf`	Image De-Raining via Continual Learning. CVPR Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha
2021	A*	`conf`	Improving De-raining Generalization via Neural Reorganization. ICCV Jie Xiao, Man Zhou, Xueyang Fu, Aiping Liu, Zheng-Jun Zha
2021	A*	`conf`	Learning Dual Priors for JPEG Compression Artifacts Removal. ICCV Xueyang Fu, Xi Wang, Aiping Liu, Junwei Han, Zheng-Jun Zha
2021	J	`jnl`	Liquid Stratification and Diffusion-Induced Anisotropic Hydrogel Actuators with Excellent Thermosensitivity and Programmable Functionality. Adv. Intell. Syst. Pengli Dong, Weizhong Xu, Zhongwen Kuang, Youxing Yao, Zhiqin Zhang, Daoyou Guo, Huaping Wu, Tingyu Zhao, Aiping Liu
2021	J	`jnl`	Muscle Artifact Removal Toward Mobile SSVEP-Based BCI: A Comparative Study. IEEE Trans. Instrum. Meas. Aiping Liu, Qingze Liu, Xu Zhang, Xiang Chen, Xun Chen
2021	J	`jnl`	Recent Advances in Sparse Representation Based Medical Image Fusion. IEEE Instrum. Meas. Mag. Yu Liu, Xun Chen, Aiping Liu, Rabab K. Ward, Zhen Jane Wang
2021	J	`jnl`	Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease. IEEE J. Biomed. Health Informatics Yu Li, Aiping Liu, Taomian Mi, Runyu Yang, Piu Chan, Martin J. McKeown, Xun Chen, Feng Wu
2021	—	`conf`	The Polarization rotator based on adiabatic waveguide. WCSP Aiping Liu, Rui Zhuang, Peng Wei, Jiawei Liu, Jingjing Hong, Xingping Zhou, Qin Wang
2021	J	`jnl`	Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey. CoRR Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang
2021	A*	`conf`	Unfolding Taylor's Approximations for Image Restoration. NeurIPS Man Zhou, Xueyang Fu, Zeyu Xiao, Gang Yang, Aiping Liu, Zhiwei Xiong
2021	J	`jnl`	Unfolding Taylor's Approximations for Image Restoration. CoRR Man Zhou, Zeyu Xiao, Xueyang Fu, Aiping Liu, Gang Yang, Zhiwei Xiong
2021	—	`conf`	White-Box Attacks on the CNN-Based Myoelectric Control System. CICAI Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xun Chen
2020	—	`conf`	Abnormal Event Detection in Video Based on Sparse Representation. ICCSE Xinlu Zong, Yijie Chen, Aiping Liu, Ruicheng Li, Shiqin Liu, Han Yu, Min Tan
2020	J	`jnl`	Approximate Policy-Based Accelerated Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. Xuesong Wang, Yang Gu, Yuhu Cheng, Aiping Liu, C. L. Philip Chen
2020	J	`jnl`	ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network. Artif. Intell. Medicine Jing Zhang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen
2020	J	`jnl`	EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network. Knowl. Based Syst. Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Kongqiao Wang, Xun Chen
2020	J	`jnl`	Learning Dual Transformation Networks for Image Contrast Enhancement. IEEE Signal Process. Lett. Yurui Zhu, Xueyang Fu, Aiping Liu
2020	J	`jnl`	MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG. CoRR Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen
2020	J	`jnl`	Novel Regional Activity Representation With Constrained Canonical Correlation Analysis for Brain Connectivity Network Estimation. IEEE Trans. Medical Imaging Jiayue Cai, Yuheng Wang, Aiping Liu, Martin J. McKeown, Z. Jane Wang
2020	J	`jnl`	ReMAE: User-Friendly Toolbox for Removing Muscle Artifacts From EEG. IEEE Trans. Instrum. Meas. Xun Chen, Qingze Liu, Wei Tao, Luchang Li, Soojin Lee, Aiping Liu, Qiang Chen, Juan Cheng, Martin J. McKeown, Z. Jane Wang
2019	J	`jnl`	Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data. IEEE Trans. Knowl. Data Eng. Xuesong Wang, Jian Liu, Yuhu Cheng, Aiping Liu, Enhong Chen
2019	J	`jnl`	Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value. IEEE J. Biomed. Health Informatics Jiayue Cai, Aiping Liu, Taomian Mi, Saurabh Garg, Wade Trappe, Martin J. McKeown, Z. Jane Wang
2019	J	`jnl`	Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study. IEEE Access Juan Cheng, Luchang Li, Chang Li, Yu Liu, Aiping Liu, Ruobing Qian, Xun Chen
2018	J	`jnl`	Position-independent gesture recognition using sEMG signals via canonical correlation analysis. Comput. Biol. Medicine Juan Cheng, Fulin Wei, Chang Li, Yu Liu, Aiping Liu, Xun Chen
2018	J	`jnl`	The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings. IEEE Trans. Instrum. Meas. Xun Chen, Xueyuan Xu, Aiping Liu, Martin J. McKeown, Z. Jane Wang
2017	—	`conf`	A novel few-channel strategy for removing muscle artifacts from multichannel EEG data. GlobalSIP Xueyuan Xu, Aiping Liu, Xun Chen
2017	J	`jnl`	Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics. Comput. Biol. Medicine Xun Chen, Aiping Liu, Qiang Chen, Yu Liu, Liang Zou, Martin J. McKeown
2016	J	`jnl`	A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks. IEEE J. Sel. Top. Signal Process. Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang
2016	J	`jnl`	Connectivity-based parcellation of functional SubROIs in putamen using a sparse spatially regularized regression model. Biomed. Signal Process. Control. Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang
2016	—	`conf`	Joint time invariant and time dependent brain connectivity network estimation. CCECE Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang
2016	—	`conf`	The generation of high-dimensional optical beam by waveguide surface holographic grating. WCSP Aiping Liu, Liang Yu
2015	J	`jnl`	A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors. Sensors Juan Cheng, Xun Chen, Aiping Liu, Hu Peng
2015	J	`jnl`	A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation. IEEE Trans. Biomed. Eng. Aiping Liu, Xun Chen, Martin J. McKeown, Z. Jane Wang
2015	—	`conf`	Connectivity-based parcellation of putamen using resting state fMRI data. ISBI Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang
2014	J	`jnl`	A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia. IEEE Trans. Biomed. Eng. Aiping Liu, Xiaohui Chen, Z. Jane Wang, Qi Xu, Silke Appel-Cresswell, Martin J. McKeown
2014	J	`jnl`	A Preliminary Study of Muscular Artifact Cancellation in Single-Channel EEG. Sensors Xun Chen, Aiping Liu, Hu Peng, Rabab K. Ward
2014	J	`jnl`	An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis. IEEE Trans. Biomed. Eng. Xun Chen, Aiping Liu, Martin J. McKeown, Howard Poizner, Z. Jane Wang
2014	Misc	`conf`	Time varying brain connectivity modeling using FMRI signals. ICASSP Aiping Liu, Xun Chen, Z. Jane Wang, Martin J. McKeown
2013	J	`jnl`	Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis. J. Appl. Math. Xun Chen, Aiping Liu, Z. Jane Wang, Hu Peng
2012	J	`jnl`	A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, Comput. Math. Methods Medicine Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown
2012	—	`conf`	An FDR-controlled, exploratory group modeling for assessing brain connectivity. ISBI Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown
2011	J	`jnl`	Measurement of Strain and Strain Rate in Embryonic Chick Heart In Vivo Using Spectral Domain Optical Coherence Tomography. IEEE Trans. Biomed. Eng. Peng Li, Xin Yin, Liang Shi, Aiping Liu, Sandra Rugonyi, Ruikang K. Wang
2009	J	`jnl`	Dynamic variation of hemodynamic shear stress on the walls of developing chick hearts: computational models of the heart outflow tract. Eng. Comput. Aiping Liu, Ruikang K. Wang, Kent L. Thornburg, Sandra Rugonyi