Aiping Liu

According to our database, Aiping Liu authored at least 81 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction.

Ziye Zhang, Aiping Liu, Yikai Gao, Xinrui Cui, Ruobing Qian, Xun Chen

IEEE Trans. Cogn. Dev. Syst., February, 2024

A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG.

Heng Cui, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen

IEEE Trans. Instrum. Meas., 2024

Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation.

Fanzhe Yan, Gang Yang, Yu Li, Aiping Liu, Xun Chen

CoRR, 2024

Learning Discriminative Noise Guidance for Image Forgery Detection and Localization.

Jiaying Zhu, Dong Li, Xueyang Fu, Gang Yang, Jie Huang, Aiping Liu, Zheng-Jun Zha

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities.

Zheyu Zhang, Gang Yang, Yueyi Zhang, Huanjing Yue, Aiping Liu, Yunwei Ou, Jian Gong, Xiaoyan Sun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction.

Gang Yang, Li Zhang, Aiping Liu, Xueyang Fu, Xun Chen, Rujing Wang

Comput. Biol. Medicine, December, 2023

Image De-Raining Transformer.

Jie Xiao, Xueyang Fu, Aiping Liu, Feng Wu, Zheng-Jun Zha

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

Cross-user gesture recognition from sEMG signals using an optimal transport assisted student-teacher framework.

Xinhui Li, Xu Zhang, Xiang Chen, Xun Chen, Aiping Liu

Comput. Biol. Medicine, October, 2023

Continual Image Deraining With Hypergraph Convolutional Networks.

Xueyang Fu, Jie Xiao, Yurui Zhu, Aiping Liu, Feng Wu, Zheng-Jun Zha

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

Signal Processing for Brain-Computer Interfaces: A review and current perspectives.

Le Wu, Aiping Liu, Rabab K. Ward, Z. Jane Wang, Xun Chen

IEEE Signal Process. Mag., July, 2023

Connectivity-Based Brain Parcellation for Parkinson's Disease.

Yu Li, Aiping Liu, Liangyong Li, Yunhu Wu, Martin J. McKeown, Xun Chen, Feng Wu

IEEE Trans. Biomed. Eng., May, 2023

Automatic Detection of Congestive Heart Failure Based on Multiscale Residual UNet++: From Centralized Learning to Federated Learning.

Liang Zou, Zexin Huang, Xinhui Yu, Jiannan Zheng, Aiping Liu, Meng Lei

IEEE Trans. Instrum. Meas., 2023

MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images.

Xiaowen Zhang, Aiping Liu, Pan Jiang, Ruobing Qian, Wei Wei, Xun Chen

IEEE Trans. Instrum. Meas., 2023

Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization.

Deng Liang, Aiping Liu, Yikai Gao, Chang Li, Ruobing Qian, Xun Chen

IEEE Trans. Instrum. Meas., 2023

PAN-Guided Band-Aware Multi-Spectral Feature Enhancement for Pan-Sharpening.

Man Zhou, Keyu Yan, Xueyang Fu, Aiping Liu, Chengjun Xie

IEEE Trans. Computational Imaging, 2023

EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion.

Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Jun Liu, Xun Chen

IEEE Trans. Affect. Comput., 2023

Data Augmentation for Seizure Prediction with Generative Diffusion Model.

Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen

CoRR, 2023

PanFlowNet: A Flow-Based Deep Network for Pan-sharpening.

Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Novel SSA-CCA Framework forMuscle Artifact Removal from Ambulatory EEG.

Yuheng Feng, Qingze Liu, Aiping Liu, Ruobing Qian, Xun Chen

Virtual Real. Intell. Hardw., 2022

A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation.

Qinrui Ling, Aiping Liu, Yu Li, Xueyang Fu, Xun Chen, Martin J. McKeown, Feng Wu

IEEE J. Biomed. Health Informatics, 2022

Transformer-Based End-to-End Anatomical and Functional Image Fusion.

Jing Zhang, Aiping Liu, Dan Wang, Yu Liu, Z. Jane Wang, Xun Chen

IEEE Trans. Instrum. Meas., 2022

Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control.

Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen

IEEE Trans. Instrum. Meas., 2022

Effective Pan-Sharpening With Transformer and Invertible Neural Network.

Man Zhou, Xueyang Fu, Jie Huang, Feng Zhao, Aiping Liu, Rujing Wang

IEEE Trans. Geosci. Remote. Sens., 2022

Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey.

Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang

IEEE Signal Process. Mag., 2022

Progressive Pan-Sharpening via Cross-Scale Collaboration Networks.

Zihe Yang, Xueyang Fu, Aiping Liu, Zheng-Jun Zha

IEEE Geosci. Remote. Sens. Lett., 2022

Detecting the universal adversarial perturbations on high-density sEMG signals.

Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen

Comput. Biol. Medicine, 2022

Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex.

Yu Li, Aiping Liu, Xueyang Fu, Martin J. McKeown, Z. Jane Wang, Xun Chen

Comput. Biol. Medicine, 2022

A general sample-weighted framework for epileptic seizure prediction.

Yikai Gao, Aiping Liu, Xinrui Cui, Ruobing Qian, Xun Chen

Comput. Biol. Medicine, 2022

Decoding muscle force from individual motor unit activities using a twitch force model and hybrid neural networks.

Xinhui Li, Xu Zhang, Xiao Tang, Maoqi Chen, Xiang Chen, Xun Chen, Aiping Liu

Biomed. Signal Process. Control., 2022

Normalization-based Feature Selection and Restitution for Pan-sharpening.

Man Zhou, Jie Huang, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, Feng Zhao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction.

Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Spatial-Frequency Domain Information Integration for Pan-Sharpening.

Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao

Proceedings of the Computer Vision - ECCV 2022, 2022

Memory-augmented Deep Conditional Unfolding Network for Pansharpening.

Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Pan-Sharpening with Customized Transformer and Invertible Neural Network.

Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease.

Yu Li, Aiping Liu, Taomian Mi, Runyu Yang, Piu Chan, Martin J. McKeown, Xun Chen, Feng Wu

IEEE J. Biomed. Health Informatics, 2021

Emotion Recognition From Multi-Channel EEG via Deep Forest.

Juan Cheng, Meiyao Chen, Chang Li, Yu Liu, Rencheng Song, Aiping Liu, Xun Chen

IEEE J. Biomed. Health Informatics, 2021

A State-Dependent IVA Model for Muscle Artifacts Removal From EEG Recordings.

Aiping Liu, Gongzheng Song, Soojin Lee, Xueyang Fu, Xun Chen

IEEE Trans. Instrum. Meas., 2021

Muscle Artifact Removal Toward Mobile SSVEP-Based BCI: A Comparative Study.

Aiping Liu, Qingze Liu, Xu Zhang, Xiang Chen, Xun Chen

IEEE Trans. Instrum. Meas., 2021

Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation.

Aiping Liu, Soojin Lee, Xun Chen, Martin J. McKeown, Z. Jane Wang

IEEE Signal Process. Mag., 2021

Constrained independent vector extraction of quasi-periodic signals from multiple data sets.

Rencheng Song, Guoping Wang, Juan Cheng, Aiping Liu, Chang Li, Xun Chen

Signal Process., 2021

Recent Advances in Sparse Representation Based Medical Image Fusion.

Yu Liu, Xun Chen, Aiping Liu, Rabab K. Ward, Zhen Jane Wang

IEEE Instrum. Meas. Mag., 2021

Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT.

Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen

CoRR, 2021

Liquid Stratification and Diffusion-Induced Anisotropic Hydrogel Actuators with Excellent Thermosensitivity and Programmable Functionality.

Pengli Dong, Weizhong Xu, Zhongwen Kuang, Youxing Yao, Zhiqin Zhang, Daoyou Guo, Huaping Wu, Tingyu Zhao, Aiping Liu

Adv. Intell. Syst., 2021

The Polarization rotator based on adiabatic waveguide.

Aiping Liu, Rui Zhuang, Peng Wei, Jiawei Liu, Jingjing Hong, Xingping Zhou, Qin Wang

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

Unfolding Taylor's Approximations for Image Restoration.

Man Zhou, Xueyang Fu, Zeyu Xiao, Gang Yang, Aiping Liu, Zhiwei Xiong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A Decomposition-based Network for Non-uniform Illuminated Retinal Image Enhancement.

Lujian Ye, Xueyang Fu, Aiping Liu, Zheng-Jun Zha

Proceedings of the 15th International Symposium on Medical Information and Communication Technology, 2021

Improving De-raining Generalization via Neural Reorganization.

Jie Xiao, Man Zhou, Xueyang Fu, Aiping Liu, Zheng-Jun Zha

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Dual Priors for JPEG Compression Artifacts Removal.

Xueyang Fu, Xi Wang, Aiping Liu, Junwei Han, Zheng-Jun Zha

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Image De-Raining via Continual Learning.

Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

White-Box Attacks on the CNN-Based Myoelectric Control System.

Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xun Chen

Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

2020

Approximate Policy-Based Accelerated Deep Reinforcement Learning.

Xuesong Wang, Yang Gu, Yuhu Cheng, Aiping Liu, C. L. Philip Chen

IEEE Trans. Neural Networks Learn. Syst., 2020

Novel Regional Activity Representation With Constrained Canonical Correlation Analysis for Brain Connectivity Network Estimation.

Jiayue Cai, Yuheng Wang, Aiping Liu, Martin J. McKeown, Z. Jane Wang

IEEE Trans. Medical Imaging, 2020

ReMAE: User-Friendly Toolbox for Removing Muscle Artifacts From EEG.

Xun Chen, Qingze Liu, Wei Tao, Luchang Li, Soojin Lee, Aiping Liu, Qiang Chen, Juan Cheng, Martin J. McKeown, Z. Jane Wang

IEEE Trans. Instrum. Meas., 2020

Learning Dual Transformation Networks for Image Contrast Enhancement.

Yurui Zhu, Xueyang Fu, Aiping Liu

IEEE Signal Process. Lett., 2020

EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network.

Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Kongqiao Wang, Xun Chen

Knowl. Based Syst., 2020

MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG.

Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen

CoRR, 2020

ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network.

Jing Zhang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen

Artif. Intell. Medicine, 2020

Abnormal Event Detection in Video Based on Sparse Representation.

Xinlu Zong, Yijie Chen, Aiping Liu, Ruicheng Li, Shiqin Liu, Han Yu, Min Tan

Proceedings of the 15th International Conference on Computer Science & Education, 2020

2019

Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data.

Xuesong Wang, Jian Liu, Yuhu Cheng, Aiping Liu, Enhong Chen

IEEE Trans. Knowl. Data Eng., 2019

Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value.

Jiayue Cai, Aiping Liu, Taomian Mi, Saurabh Garg, Wade Trappe, Martin J. McKeown, Z. Jane Wang

IEEE J. Biomed. Health Informatics, 2019

Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study.

Juan Cheng, Luchang Li, Chang Li, Yu Liu, Aiping Liu, Ruobing Qian, Xun Chen

IEEE Access, 2019

2018

The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings.

Xun Chen, Xueyuan Xu, Aiping Liu, Martin J. McKeown, Z. Jane Wang

IEEE Trans. Instrum. Meas., 2018

Position-independent gesture recognition using sEMG signals via canonical correlation analysis.

Juan Cheng, Fulin Wei, Chang Li, Yu Liu, Aiping Liu, Xun Chen

Comput. Biol. Medicine, 2018

2017

Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics.

Xun Chen, Aiping Liu, Qiang Chen, Yu Liu, Liang Zou, Martin J. McKeown

Comput. Biol. Medicine, 2017

A novel few-channel strategy for removing muscle artifacts from multichannel EEG data.

Xueyuan Xu, Aiping Liu, Xun Chen

Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

2016

A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks.

Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang

IEEE J. Sel. Top. Signal Process., 2016

Connectivity-based parcellation of functional SubROIs in putamen using a sparse spatially regularized regression model.

Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang

Biomed. Signal Process. Control., 2016

The generation of high-dimensional optical beam by waveguide surface holographic grating.

Aiping Liu, Liang Yu

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

Joint time invariant and time dependent brain connectivity network estimation.

Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang

Proceedings of the 2016 IEEE Canadian Conference on Electrical and Computer Engineering, 2016

2015

A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation.

Aiping Liu, Xun Chen, Martin J. McKeown, Z. Jane Wang

IEEE Trans. Biomed. Eng., 2015

A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors.

Juan Cheng, Xun Chen, Aiping Liu, Hu Peng

Sensors, 2015

Connectivity-based parcellation of putamen using resting state fMRI data.

Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang

Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015

2014

A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia.

Aiping Liu, Xiaohui Chen, Z. Jane Wang, Qi Xu, Silke Appel-Cresswell, Martin J. McKeown

IEEE Trans. Biomed. Eng., 2014

An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis.

Xun Chen, Aiping Liu, Martin J. McKeown, Howard Poizner, Z. Jane Wang

IEEE Trans. Biomed. Eng., 2014

A Preliminary Study of Muscular Artifact Cancellation in Single-Channel EEG.

Xun Chen, Aiping Liu, Hu Peng, Rabab K. Ward

Sensors, 2014

Time varying brain connectivity modeling using FMRI signals.

Aiping Liu, Xun Chen, Z. Jane Wang, Martin J. McKeown

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis.

Xun Chen, Aiping Liu, Z. Jane Wang, Hu Peng

J. Appl. Math., 2013

2012

A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, <i>A Priori</i> Knowledge, and Group Inference.

Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown

Comput. Math. Methods Medicine, 2012

An FDR-controlled, exploratory group modeling for assessing brain connectivity.

Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown

Proceedings of the 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2012

2011

Measurement of Strain and Strain Rate in Embryonic Chick Heart In Vivo Using Spectral Domain Optical Coherence Tomography.

Peng Li, Xin Yin, Liang Shi, Aiping Liu, Sandra Rugonyi, Ruikang K. Wang

IEEE Trans. Biomed. Eng., 2011

2009

Dynamic variation of hemodynamic shear stress on the walls of developing chick hearts: computational models of the heart outflow tract.

Aiping Liu, Ruikang K. Wang, Kent L. Thornburg, Sandra Rugonyi

Eng. Comput., 2009