Aiping Liu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 78

Top Topics

Emotion Recognition

Brain Connectivity

Correlation Analysis

Top Venues

IEEE Trans. Instrum. Meas.

Comput. Biol. Medicine

IEEE Trans. Biomed. Eng.

Publications

Jinbao Wei, Gang Yang, Zhijie Wang, Yu Liu, Aiping Liu, Xun Chen
Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction. Knowl. Based Syst. 296 (2024)
Jiaying Zhu, Dong Li, Xueyang Fu, Gang Yang, Jie Huang, Aiping Liu, Zheng-Jun Zha
Learning Discriminative Noise Guidance for Image Forgery Detection and Localization. AAAI (2024)
Fanzhe Yan, Gang Yang, Yu Li, Aiping Liu, Xun Chen
Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation. CoRR (2024)
Zheyu Zhang, Gang Yang, Yueyi Zhang, Huanjing Yue, Aiping Liu, Yunwei Ou, Jian Gong, Xiaoyan Sun
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities. AAAI (2024)
Heng Cui, Chang Li, Aiping Liu, Ruobing Qian, Xun Chen
A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG. IEEE Trans. Instrum. Meas. 73 (2024)
Xinlu Zong, Hejing Li, Aiping Liu, Hui Xu
A crowd simulation model based on emotional cognition and contagion for emergency evacuation. J. Intell. Fuzzy Syst. 46 (4) (2024)
Jiale Li, Aiping Liu, Yu Li, Wei Wei, Ruobing Qian, Qingguo Xie, Bensheng Qiu, Xun Chen
Rethinking Deep Supervision for Brain Tumor Segmentation. IEEE Trans. Artif. Intell. 5 (5) (2024)
Xiaowen Zhang, Aiping Liu, Gang Yang, Yu Liu, Xun Chen
SIMFusion: A semantic information-guided modality-specific fusion network for MR Images. Inf. Fusion 112 (2024)
Ziye Zhang, Aiping Liu, Yikai Gao, Xinrui Cui, Ruobing Qian, Xun Chen
Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction. IEEE Trans. Cogn. Dev. Syst. 16 (1) (2024)
Jinsha Chen, Gang Yang, Aiping Liu, Xun Chen, Ji Liu
SFE-Net: Spatial-Frequency Enhancement Network for robust nuclei segmentation in histopathology images. Comput. Biol. Medicine 171 (2024)
Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen
Data Augmentation for Seizure Prediction with Generative Diffusion Model. CoRR (2023)
Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun chen, Deyu Meng
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. CoRR (2023)
Xueyang Fu, Jie Xiao, Yurui Zhu, Aiping Liu, Feng Wu, Zheng-Jun Zha
Continual Image Deraining With Hypergraph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45 (8) (2023)
Xiaowen Zhang, Aiping Liu, Pan Jiang, Ruobing Qian, Wei Wei, Xun Chen
MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images. IEEE Trans. Instrum. Meas. 72 (2023)
Le Wu, Aiping Liu, Rabab K. Ward, Z. Jane Wang, Xun Chen
Signal Processing for Brain-Computer Interfaces: A review and current perspectives. IEEE Signal Process. Mag. 40 (5) (2023)
Xinhui Li, Xu Zhang, Xiang Chen, Xun Chen, Aiping Liu
Cross-user gesture recognition from sEMG signals using an optimal transport assisted student-teacher framework. Comput. Biol. Medicine 165 (2023)
Yu Li, Aiping Liu, Liangyong Li, Yunhu Wu, Martin J. McKeown, Xun Chen, Feng Wu
Connectivity-Based Brain Parcellation for Parkinson's Disease. IEEE Trans. Biomed. Eng. 70 (5) (2023)
Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. ICCV (2023)
Gang Yang, Li Zhang, Aiping Liu, Xueyang Fu, Xun Chen, Rujing Wang
MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction. Comput. Biol. Medicine 167 (2023)
Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Jun Liu, Xun Chen
EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion. IEEE Trans. Affect. Comput. 14 (4) (2023)
Man Zhou, Keyu Yan, Xueyang Fu, Aiping Liu, Chengjun Xie
PAN-Guided Band-Aware Multi-Spectral Feature Enhancement for Pan-Sharpening. IEEE Trans. Computational Imaging 9 (2023)
Deng Liang, Aiping Liu, Yikai Gao, Chang Li, Ruobing Qian, Xun Chen
Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization. IEEE Trans. Instrum. Meas. 72 (2023)
Jie Xiao, Xueyang Fu, Aiping Liu, Feng Wu, Zheng-Jun Zha
Image De-Raining Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45 (11) (2023)
Liang Zou, Zexin Huang, Xinhui Yu, Jiannan Zheng, Aiping Liu, Meng Lei
Automatic Detection of Congestive Heart Failure Based on Multiscale Residual UNet++: From Centralized Learning to Federated Learning. IEEE Trans. Instrum. Meas. 72 (2023)
Yuheng Feng, Qingze Liu, Aiping Liu, Ruobing Qian, Xun Chen
A Novel SSA-CCA Framework forMuscle Artifact Removal from Ambulatory EEG. Virtual Real. Intell. Hardw. 4 (1) (2022)
Xinhui Li, Xu Zhang, Xiao Tang, Maoqi Chen, Xiang Chen, Xun Chen, Aiping Liu
Decoding muscle force from individual motor unit activities using a twitch force model and hybrid neural networks. Biomed. Signal Process. Control. 72 (Part) (2022)
Qinrui Ling, Aiping Liu, Yu Li, Xueyang Fu, Xun Chen, Martin J. McKeown, Feng Wu
A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen
Detecting the universal adversarial perturbations on high-density sEMG signals. Comput. Biol. Medicine 149 (2022)
Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu
Pan-Sharpening with Customized Transformer and Invertible Neural Network. AAAI (2022)
Man Zhou, Xueyang Fu, Jie Huang, Feng Zhao, Aiping Liu, Rujing Wang
Effective Pan-Sharpening With Transformer and Invertible Neural Network. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey. IEEE Signal Process. Mag. 39 (2) (2022)
Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. CoRR (2022)
Yu Li, Aiping Liu, Xueyang Fu, Martin J. McKeown, Z. Jane Wang, Xun Chen
Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex. Comput. Biol. Medicine 150 (2022)
Jing Zhang, Aiping Liu, Dan Wang, Yu Liu, Z. Jane Wang, Xun Chen
Transformer-Based End-to-End Anatomical and Functional Image Fusion. IEEE Trans. Instrum. Meas. 71 (2022)
Le Wu, Aiping Liu, Xu Zhang, Xiang Chen, Xun Chen
Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control. IEEE Trans. Instrum. Meas. 71 (2022)
Man Zhou, Jie Huang, Keyu Yan, Gang Yang, Aiping Liu, Chongyi Li, Feng Zhao
Normalization-based Feature Selection and Restitution for Pan-sharpening. ACM Multimedia (2022)
Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu, Aiping Liu, Xian Wei, Feng Zhao
Spatial-Frequency Domain Information Integration for Pan-Sharpening. ECCV (18) (2022)
Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang
Memory-augmented Deep Conditional Unfolding Network for Pansharpening. CVPR (2022)
Gang Yang, Li Zhang, Man Zhou, Aiping Liu, Xun Chen, Zhiwei Xiong, Feng Wu
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. ACM Multimedia (2022)
Yikai Gao, Aiping Liu, Xinrui Cui, Ruobing Qian, Xun Chen
A general sample-weighted framework for epileptic seizure prediction. Comput. Biol. Medicine 150 (2022)
Zihe Yang, Xueyang Fu, Aiping Liu, Zheng-Jun Zha
Progressive Pan-Sharpening via Cross-Scale Collaboration Networks. IEEE Geosci. Remote. Sens. Lett. 19 (2022)
Lujian Ye, Xueyang Fu, Aiping Liu, Zheng-Jun Zha
A Decomposition-based Network for Non-uniform Illuminated Retinal Image Enhancement. ISMICT (2021)
Rencheng Song, Guoping Wang, Juan Cheng, Aiping Liu, Chang Li, Xun Chen
Constrained independent vector extraction of quasi-periodic signals from multiple data sets. Signal Process. 189 (2021)
Man Zhou, Zeyu Xiao, Xueyang Fu, Aiping Liu, Gang Yang, Zhiwei Xiong
Unfolding Taylor's Approximations for Image Restoration. CoRR (2021)
Pengli Dong, Weizhong Xu, Zhongwen Kuang, Youxing Yao, Zhiqin Zhang, Daoyou Guo, Huaping Wu, Tingyu Zhao, Aiping Liu
Liquid Stratification and Diffusion-Induced Anisotropic Hydrogel Actuators with Excellent Thermosensitivity and Programmable Functionality. Adv. Intell. Syst. 3 (11) (2021)
Aiping Liu, Qingze Liu, Xu Zhang, Xiang Chen, Xun Chen
Muscle Artifact Removal Toward Mobile SSVEP-Based BCI: A Comparative Study. IEEE Trans. Instrum. Meas. 70 (2021)
Yu Li, Aiping Liu, Taomian Mi, Runyu Yang, Piu Chan, Martin J. McKeown, Xun Chen, Feng Wu
Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease. IEEE J. Biomed. Health Informatics 25 (9) (2021)
Mengqiu Liu, Ying Liu, Yidong Yang, Aiping Liu, Shana Li, Changbing Qu, Xiaohui Qiu, Yang Li, Weifu Lv, Peng Zhang, Jie Wen
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT. CoRR (2021)
Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown, Ruobing Qian, Z. Jane Wang
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A Comprehensive Survey. CoRR (2021)
Xueyang Fu, Xi Wang, Aiping Liu, Junwei Han, Zheng-Jun Zha
Learning Dual Priors for JPEG Compression Artifacts Removal. ICCV (2021)
Yu Liu, Xun Chen, Aiping Liu, Rabab K. Ward, Zhen Jane Wang
Recent Advances in Sparse Representation Based Medical Image Fusion. IEEE Instrum. Meas. Mag. 24 (2) (2021)
Jie Xiao, Man Zhou, Xueyang Fu, Aiping Liu, Zheng-Jun Zha
Improving De-raining Generalization via Neural Reorganization. ICCV (2021)
Juan Cheng, Meiyao Chen, Chang Li, Yu Liu, Rencheng Song, Aiping Liu, Xun Chen
Emotion Recognition From Multi-Channel EEG via Deep Forest. IEEE J. Biomed. Health Informatics 25 (2) (2021)
Aiping Liu, Soojin Lee, Xun Chen, Martin J. McKeown, Z. Jane Wang
Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation. IEEE Signal Process. Mag. 38 (4) (2021)
Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha
Image De-Raining via Continual Learning. CVPR (2021)
Bo Xue, Le Wu, Aiping Liu, Xu Zhang, Xun Chen
White-Box Attacks on the CNN-Based Myoelectric Control System. CICAI (2021)
Man Zhou, Xueyang Fu, Zeyu Xiao, Gang Yang, Aiping Liu, Zhiwei Xiong
Unfolding Taylor's Approximations for Image Restoration. NeurIPS (2021)
Aiping Liu, Rui Zhuang, Peng Wei, Jiawei Liu, Jingjing Hong, Xingping Zhou, Qin Wang
The Polarization rotator based on adiabatic waveguide. WCSP (2021)
Aiping Liu, Gongzheng Song, Soojin Lee, Xueyang Fu, Xun Chen
A State-Dependent IVA Model for Muscle Artifacts Removal From EEG Recordings. IEEE Trans. Instrum. Meas. 70 (2021)
Yurui Zhu, Xueyang Fu, Aiping Liu
Learning Dual Transformation Networks for Image Contrast Enhancement. IEEE Signal Process. Lett. 27 (2020)
Jing Zhang, Deng Liang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen
MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG. CoRR (2020)
Xinlu Zong, Yijie Chen, Aiping Liu, Ruicheng Li, Shiqin Liu, Han Yu, Min Tan
Abnormal Event Detection in Video Based on Sparse Representation. ICCSE (2020)
Heng Cui, Aiping Liu, Xu Zhang, Xiang Chen, Kongqiao Wang, Xun Chen
EEG-based emotion recognition using an end-to-end regional-asymmetric convolutional neural network. Knowl. Based Syst. 205 (2020)
Jiayue Cai, Yuheng Wang, Aiping Liu, Martin J. McKeown, Z. Jane Wang
Novel Regional Activity Representation With Constrained Canonical Correlation Analysis for Brain Connectivity Network Estimation. IEEE Trans. Medical Imaging 39 (7) (2020)
Xuesong Wang, Yang Gu, Yuhu Cheng, Aiping Liu, C. L. Philip Chen
Approximate Policy-Based Accelerated Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Jing Zhang, Aiping Liu, Min Gao, Xiang Chen, Xu Zhang, Xun Chen
ECG-based multi-class arrhythmia detection using spatio-temporal attention-based convolutional recurrent neural network. Artif. Intell. Medicine 106 (2020)
Xun Chen, Qingze Liu, Wei Tao, Luchang Li, Soojin Lee, Aiping Liu, Qiang Chen, Juan Cheng, Martin J. McKeown, Z. Jane Wang
ReMAE: User-Friendly Toolbox for Removing Muscle Artifacts From EEG. IEEE Trans. Instrum. Meas. 69 (5) (2020)
Jiayue Cai, Aiping Liu, Taomian Mi, Saurabh Garg, Wade Trappe, Martin J. McKeown, Z. Jane Wang
Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value. IEEE J. Biomed. Health Informatics 23 (4) (2019)
Juan Cheng, Luchang Li, Chang Li, Yu Liu, Aiping Liu, Ruobing Qian, Xun Chen
Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study. IEEE Access 7 (2019)
Xuesong Wang, Jian Liu, Yuhu Cheng, Aiping Liu, Enhong Chen
Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data. IEEE Trans. Knowl. Data Eng. 31 (12) (2019)
Xun Chen, Xueyuan Xu, Aiping Liu, Martin J. McKeown, Z. Jane Wang
The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings. IEEE Trans. Instrum. Meas. 67 (2) (2018)
Juan Cheng, Fulin Wei, Chang Li, Yu Liu, Aiping Liu, Xun Chen
Position-independent gesture recognition using sEMG signals via canonical correlation analysis. Comput. Biol. Medicine 103 (2018)
Xueyuan Xu, Aiping Liu, Xun Chen
A novel few-channel strategy for removing muscle artifacts from multichannel EEG data. GlobalSIP (2017)
Xun Chen, Aiping Liu, Qiang Chen, Yu Liu, Liang Zou, Martin J. McKeown
Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics. Comput. Biol. Medicine 88 (2017)
Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang
Connectivity-based parcellation of functional SubROIs in putamen using a sparse spatially regularized regression model. Biomed. Signal Process. Control. 27 (2016)
Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang
A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks. IEEE J. Sel. Top. Signal Process. 10 (7) (2016)
Aiping Liu, Liang Yu
The generation of high-dimensional optical beam by waveguide surface holographic grating. WCSP (2016)
Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown, Z. Jane Wang
Joint time invariant and time dependent brain connectivity network estimation. CCECE (2016)
Juan Cheng, Xun Chen, Aiping Liu, Hu Peng
A Novel Phonology- and Radical-Coded Chinese Sign Language Recognition Framework Using Accelerometer and Surface Electromyography Sensors. Sensors 15 (9) (2015)
Aiping Liu, Xun Chen, Martin J. McKeown, Z. Jane Wang
A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation. IEEE Trans. Biomed. Eng. 62 (2) (2015)
Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown, Z. Jane Wang
Connectivity-based parcellation of putamen using resting state fMRI data. ISBI (2015)
Xun Chen, Aiping Liu, Martin J. McKeown, Howard Poizner, Z. Jane Wang
An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis. IEEE Trans. Biomed. Eng. 61 (7) (2014)
Aiping Liu, Xun Chen, Z. Jane Wang, Martin J. McKeown
Time varying brain connectivity modeling using FMRI signals. ICASSP (2014)
Aiping Liu, Xiaohui Chen, Z. Jane Wang, Qi Xu, Silke Appel-Cresswell, Martin J. McKeown
A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia. IEEE Trans. Biomed. Eng. 61 (3) (2014)
Xun Chen, Aiping Liu, Hu Peng, Rabab K. Ward
A Preliminary Study of Muscular Artifact Cancellation in Single-Channel EEG. Sensors 14 (10) (2014)
Xun Chen, Aiping Liu, Z. Jane Wang, Hu Peng
Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis. J. Appl. Math. 2013 (2013)
Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown
An FDR-controlled, exploratory group modeling for assessing brain connectivity. ISBI (2012)
Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown
Knowledge, and Group Inference. Comput. Math. Methods Medicine 2012 (2012)
Peng Li, Xin Yin, Liang Shi, Aiping Liu, Sandra Rugonyi, Ruikang K. Wang
Measurement of Strain and Strain Rate in Embryonic Chick Heart In Vivo Using Spectral Domain Optical Coherence Tomography. IEEE Trans. Biomed. Eng. 58 (8) (2011)
Aiping Liu, Ruikang K. Wang, Kent L. Thornburg, Sandra Rugonyi
Dynamic variation of hemodynamic shear stress on the walls of developing chick hearts: computational models of the heart outflow tract. Eng. Comput. 25 (1) (2009)