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Aiping Liu
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2020 – today
- 2025
- [j66]Zhonghe Tian
, Aiping Liu, Guokang Zhu, Xun Chen:
A paralleled CNN and Transformer network for PPG-based cuff-less blood pressure estimation. Biomed. Signal Process. Control. 99: 106741 (2025) - 2024
- [j65]Le Wu
Enhancing EEG artifact removal through neural architecture search with large kernels. Adv. Eng. Informatics 62: 102831 (2024) - [j64]Jinsha Chen
SFE-Net: Spatial-Frequency Enhancement Network for robust nuclei segmentation in histopathology images. Comput. Biol. Medicine 171: 108131 (2024) - [j63]Yikai Gao
An interpretable and generalizable deep learning model for iEEG-based seizure prediction using prototype learning and contrastive learning. Comput. Biol. Medicine 183: 109257 (2024) - [j62]Xiaowen Zhang
SIMFusion: A semantic information-guided modality-specific fusion network for MR Images. Inf. Fusion 112: 102560 (2024) - [j61]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): 10187-10200 (2024) - [j60]Jinbao Wei
Misalignment-Resistant Deep Unfolding Network for multi-modal MRI super-resolution and reconstruction. Knowl. Based Syst. 296: 111866 (2024) - [j59]Jiale Li
Rethinking Deep Supervision for Brain Tumor Segmentation. IEEE Trans. Artif. Intell. 5(5): 2103-2116 (2024) - [j58]Ziye Zhang
Distilling Invariant Representations With Domain Adversarial Learning for Cross-Subject Children Seizure Prediction. IEEE Trans. Cogn. Dev. Syst. 16(1): 202-211 (2024) - [j57]Yuhang Chen
Multi-Dimensional Medical Image Fusion With Complex Sparse Representation. IEEE Trans. Biomed. Eng. 71(9): 2728-2739 (2024) - [j56]Heng Cui
A Dual-Branch Interactive Fusion Network to Remove Artifacts From Single-Channel EEG. IEEE Trans. Instrum. Meas. 73: 1-12 (2024) - [j55]Jiye Tang, Junxin Chen, Xu Xu, Aiping Liu, Xun Chen:
Imagined Speech Reconstruction From Neural Signals - An Overview of Sources and Methods. IEEE Trans. Instrum. Meas. 73: 1-21 (2024) - [j54]Yurui Zhu, Xueyang Fu
Hue Guidance Network for Single Image Reflection Removal. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13701-13712 (2024) - [c23]Zheyu Zhang
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities. AAAI 2024: 7414-7422 - [c22]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: 7739-7747 - [c21]Zhijing Sun, Xueyang Fu, Longzhuo Huang, Aiping Liu, Zheng-Jun Zha:
Motion Aware Event Representation-Driven Image Deblurring. ECCV (46) 2024: 418-435 - [i8]Fanzhe Yan, Gang Yang, Yu Li, Aiping Liu, Xun Chen:
Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation. CoRR abs/2403.01246 (2024) - 2023
- [j53]Xinhui Li
Cross-user gesture recognition from sEMG signals using an optimal transport assisted student-teacher framework. Comput. Biol. Medicine 165: 107327 (2023) - [j52]Gang Yang
MGDUN: An interpretable network for multi-contrast MRI image super-resolution reconstruction. Comput. Biol. Medicine 167: 107605 (2023) - [j51]Xueyang Fu
Continual Image Deraining With Hypergraph Convolutional Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 9534-9551 (2023) - [j50]Jie Xiao, Xueyang Fu
Image De-Raining Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 12978-12995 (2023) - [j49]Le Wu
Signal Processing for Brain-Computer Interfaces: A review and current perspectives. IEEE Signal Process. Mag. 40(5): 80-91 (2023) - [j48]Heng Cui
EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion. IEEE Trans. Affect. Comput. 14(4): 2740-2750 (2023) - [j47]Yu Li
Connectivity-Based Brain Parcellation for Parkinson's Disease. IEEE Trans. Biomed. Eng. 70(5): 1539-1552 (2023) - [j46]Man Zhou
PAN-Guided Band-Aware Multi-Spectral Feature Enhancement for Pan-Sharpening. IEEE Trans. Computational Imaging 9: 238-249 (2023) - [j45]Deng Liang
Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization. IEEE Trans. Instrum. Meas. 72: 1-12 (2023) - [j44]Xiaowen Zhang
MSAIF-Net: A Multistage Spatial Attention-Based Invertible Fusion Network for MR Images. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [j43]Liang Zou
Automatic Detection of Congestive Heart Failure Based on Multiscale Residual UNet++: From Centralized Learning to Federated Learning. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [c20]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: 16811-16821 - [i7]Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng:
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. CoRR abs/2305.07774 (2023) - [i6]Kai Shu, Yuchang Zhao, Le Wu, Aiping Liu, Ruobing Qian, Xun Chen:
Data Augmentation for Seizure Prediction with Generative Diffusion Model. CoRR abs/2306.08256 (2023) - 2022
- [j42]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): 103297 (2022) - [j41]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: 105978 (2022) - [j40]Yu Li
Atlas-guided parcellation: Individualized functionally-homogenous parcellation in cerebral cortex. Comput. Biol. Medicine 150: 106078 (2022) - [j39]Yikai Gao
A general sample-weighted framework for epileptic seizure prediction. Comput. Biol. Medicine 150: 106169 (2022) - [j38]Zihe Yang, Xueyang Fu
Progressive Pan-Sharpening via Cross-Scale Collaboration Networks. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j37]Xun Chen, Chang Li, Aiping Liu, Martin J. McKeown
Toward Open-World Electroencephalogram Decoding Via Deep Learning: A comprehensive survey. IEEE Signal Process. Mag. 39(2): 117-134 (2022) - [j36]Man Zhou, Xueyang Fu
Effective Pan-Sharpening With Transformer and Invertible Neural Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j35]Le Wu
Electrode Shift Robust CNN for High-Density Myoelectric Pattern Recognition Control. IEEE Trans. Instrum. Meas. 71: 1-10 (2022) - [j34]Jing Zhang
Transformer-Based End-to-End Anatomical and Functional Image Fusion. IEEE Trans. Instrum. Meas. 71: 1-11 (2022) - [j33]Qinrui Ling
A Joint Constrained CCA Model for Network-Dependent Brain Subregion Parcellation. IEEE J. Biomed. Health Informatics 26(11): 5641-5652 (2022) - [j32]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): 1-21 (2022) - [c19]Man Zhou, Jie Huang, Yanchi Fang, Xueyang Fu, Aiping Liu:
Pan-Sharpening with Customized Transformer and Invertible Neural Network. AAAI 2022: 3553-3561 - [c18]Gang Yang
Memory-augmented Deep Conditional Unfolding Network for Pansharpening. CVPR 2022: 1778-1787 - [c17]Man Zhou, Jie Huang, Keyu Yan, Hu Yu, Xueyang Fu
Spatial-Frequency Domain Information Integration for Pan-Sharpening. ECCV (18) 2022: 274-291 - [c16]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: 3365-3374 - [c15]Gang Yang
Model-Guided Multi-Contrast Deep Unfolding Network for MRI Super-resolution Reconstruction. ACM Multimedia 2022: 3974-3982 - [i5]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 abs/2209.07030 (2022) - 2021
- [j31]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): 2100030 (2021) - [j30]Yu Liu
Recent Advances in Sparse Representation Based Medical Image Fusion. IEEE Instrum. Meas. Mag. 24(2): 45-53 (2021) - [j29]Rencheng Song
Constrained independent vector extraction of quasi-periodic signals from multiple data sets. Signal Process. 189: 108296 (2021) - [j28]Aiping Liu
Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation. IEEE Signal Process. Mag. 38(4): 54-64 (2021) - [j27]Aiping Liu
Muscle Artifact Removal Toward Mobile SSVEP-Based BCI: A Comparative Study. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [j26]Aiping Liu
A State-Dependent IVA Model for Muscle Artifacts Removal From EEG Recordings. IEEE Trans. Instrum. Meas. 70: 1-13 (2021) - [j25]Juan Cheng
Emotion Recognition From Multi-Channel EEG via Deep Forest. IEEE J. Biomed. Health Informatics 25(2): 453-464 (2021) - [j24]Yu Li
Striatal Subdivisions Estimated via Deep Embedded Clustering With Application to Parkinson's Disease. IEEE J. Biomed. Health Informatics 25(9): 3564-3575 (2021) - [c14]Bo Xue, Le Wu
White-Box Attacks on the CNN-Based Myoelectric Control System. CICAI 2021: 149-157 - [c13]Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu
Image De-Raining via Continual Learning. CVPR 2021: 4907-4916 - [c12]Xueyang Fu
Learning Dual Priors for JPEG Compression Artifacts Removal. ICCV 2021: 4066-4075 - [c11]Jie Xiao, Man Zhou, Xueyang Fu
Improving De-raining Generalization via Neural Reorganization. ICCV 2021: 4967-4976 - [c10]Lujian Ye, Xueyang Fu
A Decomposition-based Network for Non-uniform Illuminated Retinal Image Enhancement. ISMICT 2021: 59-64 - [c9]Man Zhou, Xueyang Fu, Zeyu Xiao, Gang Yang, Aiping Liu, Zhiwei Xiong:
Unfolding Taylor's Approximations for Image Restoration. NeurIPS 2021: 18997-19009 - [c8]Aiping Liu, Rui Zhuang, Peng Wei, Jiawei Liu, Jingjing Hong, Xingping Zhou, Qin Wang:
The Polarization rotator based on adiabatic waveguide. WCSP 2021: 1-4 - [i4]Man Zhou, Zeyu Xiao, Xueyang Fu, Aiping Liu, Gang Yang, Zhiwei Xiong:
Unfolding Taylor's Approximations for Image Restoration. CoRR abs/2109.03442 (2021) - [i3]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 abs/2112.05900 (2021) - [i2]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 abs/2112.06654 (2021) - 2020
- [j23]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: 101856 (2020) - [j22]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: 106243 (2020) - [j21]Yurui Zhu, Xueyang Fu
Learning Dual Transformation Networks for Image Contrast Enhancement. IEEE Signal Process. Lett. 27: 1999-2003 (2020) - [j20]Xun Chen, Qingze Liu, Wei Tao, Luchang Li, Soojin Lee, Aiping Liu, Qiang Chen, Juan Cheng, Martin J. McKeown
ReMAE: User-Friendly Toolbox for Removing Muscle Artifacts From EEG. IEEE Trans. Instrum. Meas. 69(5): 2105-2119 (2020) - [j19]Jiayue Cai
Novel Regional Activity Representation With Constrained Canonical Correlation Analysis for Brain Connectivity Network Estimation. IEEE Trans. Medical Imaging 39(7): 2363-2373 (2020) - [j18]Xuesong Wang
Approximate Policy-Based Accelerated Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 31(6): 1820-1830 (2020) - [c7]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: 649-653 - [i1]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 abs/2008.07263 (2020)
2010 – 2019
- 2019
- [j17]Juan Cheng
Remove Diverse Artifacts Simultaneously From a Single-Channel EEG Based on SSA and ICA: A Semi-Simulated Study. IEEE Access 7: 60276-60289 (2019) - [j16]Jiayue Cai
Dynamic Graph Theoretical Analysis of Functional Connectivity in Parkinson's Disease: The Importance of Fiedler Value. IEEE J. Biomed. Health Informatics 23(4): 1720-1729 (2019) - [j15]Xuesong Wang
Dual Hypergraph Regularized PCA for Biclustering of Tumor Gene Expression Data. IEEE Trans. Knowl. Data Eng. 31(12): 2292-2303 (2019) - 2018
- [j14]Juan Cheng, Fulin Wei
Position-independent gesture recognition using sEMG signals via canonical correlation analysis. Comput. Biol. Medicine 103: 44-54 (2018) - [j13]Xun Chen
The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts From Few-Channel EEG Recordings. IEEE Trans. Instrum. Meas. 67(2): 359-370 (2018) - 2017
- [j12]Xun Chen, Aiping Liu, Qiang Chen, Yu Liu
Simultaneous ocular and muscle artifact removal from EEG data by exploiting diverse statistics. Comput. Biol. Medicine 88: 1-10 (2017) - [c6]Xueyuan Xu
A novel few-channel strategy for removing muscle artifacts from multichannel EEG data. GlobalSIP 2017: 976-980 - 2016
- [j11]Yiming Zhang
Connectivity-based parcellation of functional SubROIs in putamen using a sparse spatially regularized regression model. Biomed. Signal Process. Control. 27: 174-183 (2016) - [j10]Aiping Liu, Xun Chen
A Combined Static and Dynamic Model for Resting-State Brain Connectivity Networks. IEEE J. Sel. Top. Signal Process. 10(7): 1172-1181 (2016) - [c5]Aiping Liu, Xun Chen, Xiaojuan Dan, Martin J. McKeown
Joint time invariant and time dependent brain connectivity network estimation. CCECE 2016: 1-4 - [c4]Aiping Liu, Liang Yu:
The generation of high-dimensional optical beam by waveguide surface holographic grating. WCSP 2016: 1-3 - 2015
- [j9]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): 23303-23324 (2015) - [j8]Aiping Liu, Xun Chen, Martin J. McKeown
A Sticky Weighted Regression Model for Time-Varying Resting-State Brain Connectivity Estimation. IEEE Trans. Biomed. Eng. 62(2): 501-510 (2015) - [c3]Yiming Zhang, Aiping Liu, Sun Nee Tan, Martin J. McKeown
Connectivity-based parcellation of putamen using resting state fMRI data. ISBI 2015: 34-37 - 2014
- [j7]Xun Chen, Aiping Liu, Hu Peng, Rabab K. Ward:
A Preliminary Study of Muscular Artifact Cancellation in Single-Channel EEG. Sensors 14(10): 18370-18389 (2014) - [j6]Aiping Liu, Xiaohui Chen, Z. Jane Wang, Qi Xu, Silke Appel-Cresswell
A Genetically Informed, Group fMRI Connectivity Modeling Approach: Application to Schizophrenia. IEEE Trans. Biomed. Eng. 61(3): 946-956 (2014) - [j5]Xun Chen, Aiping Liu, Martin J. McKeown
An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis. IEEE Trans. Biomed. Eng. 61(7): 2187-2198 (2014) - [c2]Aiping Liu, Xun Chen, Z. Jane Wang, Martin J. McKeown
Time varying brain connectivity modeling using FMRI signals. ICASSP 2014: 2089-2093 - 2013
- [j4]Xun Chen
Corticomuscular Activity Modeling by Combining Partial Least Squares and Canonical Correlation Analysis. J. Appl. Math. 2013: 401976:1-401976:11 (2013) - 2012
- [j3]Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown
A Computationally Efficient, Exploratory Approach to Brain Connectivity Incorporating False Discovery Rate Control, A Priori Knowledge, and Group Inference. Comput. Math. Methods Medicine 2012: 967380:1-967380:14 (2012) - [c1]Aiping Liu, Junning Li, Z. Jane Wang, Martin J. McKeown
An FDR-controlled, exploratory group modeling for assessing brain connectivity. ISBI 2012: 558-561 - 2011
- [j2]Peng Li, Xin Yin, Liang Shi, Aiping Liu, Sandra Rugonyi
Measurement of Strain and Strain Rate in Embryonic Chick Heart In Vivo Using Spectral Domain Optical Coherence Tomography. IEEE Trans. Biomed. Eng. 58(8): 2333-2338 (2011)
2000 – 2009
- 2009
- [j1]Aiping Liu, Ruikang K. Wang
Dynamic variation of hemodynamic shear stress on the walls of developing chick hearts: computational models of the heart outflow tract. Eng. Comput. 25(1): 73-86 (2009)
Coauthor Index
[j64] [j63] [j62] [j60] [j59] [j58] [j57] [j56] [j55] [j53] [j52] [j49] [j48] [j47] [j45] [j44] [c20] [i7] [i6] [j42] [j41] [j40] [j39] [j37] [j35] [j34] [j33] [j32] [c15] [i5] [j30] [j29] [j28] [j27] [j26] [j25] [j24] [c14] [i2] [j23] [j22] [j20] [i1] [j17] [j14] [j13] [j12] [c6] [j10] [c5] [j9] [j8] [j7] [j5] [c2] [j4]
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