Selected Journal Articles (* corresponding author)

  1. L. Wu, A. Liu, R. Ward, Z. J. Wang, Xun Chen*, Signal Processing for Brain-Computer Interfaces: A Review and Current Perspectives, IEEE Signal Processing Magazine, vol. 40, pp. 80-91, 2023.

  2. C. Li, Z. Zhang, R. Song, J. Cheng, Y. Liu, Xun Chen*, “EEG-based Emotion Recognition via Neural Architecture Search”, IEEE Transactions on Affective Computing, to appear, 2023. (IF: 13.990)

  3. H. Cui, A. Liu*, X. Zhang, X. Chen, J. Liu, Xun Chen*, “EEG-Based Subject-Independent Emotion Recognition Using Gated Recurrent Unit and Minimum Class Confusion,” IEEE Transactions on Affective Computing, to appear, 2023. (IF: 13.990)

  4. W. Tao, C. Li*, R. Song, J. Cheng, Y. Liu, F. Wan, Xun Chen*, “EEG-based Emotion Recognition via Channel-wise Attention and Self Attention,” IEEE Transactions on Affective Computing, to appear, 2023. (IF: 13.990)

  5. Xun Chen, C. Li, A. Liu, M. McKeown, R. Qian, Z. J. Wang, “Towards Open-World EEG Decoding via Deep Learning,” IEEE Signal Processing Magazine, 39(2) 117-134, 2022. (IF: 15.204, Invited Article)

  6. Y. Gao, A. Liu, L. Wang, R. Qian, Xun Chen*, A Self-Interpretable Deep Learning Model for Seizure Prediction Using a Multi-Scale Prototypical Part Network, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 1847-1856, 2023.

  7. X. Wang, A. Liu*, L. Wu, C. Li, Y. Liu, Xun Chen*, A Generalized Zero-shot Learning Scheme for SSVEP-Based BCI System, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023.

  8. B. Xue, L. Wu*, A. Liu, X. Zhang, X. Chen, Xun Chen*, Reduce the User Burden of Multiuser Myoelectric Interface via Few-Shot Domain Adaptation, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2023.

  9. C. Li, Z. Deng, R. Song, X. Liu, R. Qian, Xun Chen*, EEG-based Seizure Prediction via Model Uncertainty Learning, IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 31, pp. 180-191, 2023.

  10. J. Yin, A. Liu, C. Li, R. Qian, Xun Chen*, A GAN Guided Parallel CNN and Transformer Network for EEG Denoising, IEEE Journal of Biomedical and Health Informatics, to appear, 2023.

  11. D. Liang, A. Liu, Y. Gao, C. Li, R. Qian, Xun Chen*, Semi-Supervised Domain-Adaptive Seizure Prediction via Feature Alignment and Consistency Regularization, IEEE Transactions on Instrumentation & Measurement, vol. 72, Art no. 4003512, 2023.

  12. Z. Zhang, A. Liu, Y. Gao, X. Cui, R. Qian, Xun Chen*, Distilling Invariant Representations with Domain Adversarial Learning for Cross-Subject Children Seizure Prediction, IEEE Transactions on Cognitive and Developmental Systems, to appear, 2023. DOI: 10.1109/TCDS.2023.3257055.

  13. Y. Liu, H. Li, J. Cheng, Xun Chen*, MSCAF-Net: A General Framework for Camouflaged Object Detection via Learning Multi-Scale Context-Aware Features, IEEE Transactions on Circuits and Systems for Video Technology, to appear, 2023.

  14. C. Li, Y. Zhao, R. Song, X. Liu, R. Qian*, Xun Chen*, Patient-Specific Seizure Prediction from Electroencephalogram Signal via Multi-Channel Feedback Capsule Network, IEEE Transactions on Cognitive and Developmental Systems, to appear, 2023. DOI: 10.1109/TCDS.2022.3212019

  15. Y. Li, A. Liu, J. Yin, C. Li, Xun Chen*, A Segmentation-Denoising Network for Artifact Removal from Single-Channel EEG, IEEE Sensors Journal, to appear, 2023.

  16. S. Duan, L. Wu*, B. Xue, A. Liu, R. Qian, Xun Chen*, A Hybrid Multimodal Fusion Framework for sEMG-ACC-Based Hand Gesture Recognition, IEEE Sensors Journal, vol. 23, no. 3, pp. 2773-2782, 2023.

  17. Y. Liu, Z. Yang, J. Cheng, Xun Chen*, Multi-Exposure Image Fusion via Multi-scale and Context-aware Feature Learning, IEEE Signal Processing Letters, to appear, 2023.

  18. H. Zhou, A. Liu*, H. Cui, Y. Bie, Xun Chen*, SleepNet-Lite: A Novel Lightweight Convolutional Neural Network for Single-Channel EEG-Based Sleep Staging, IEEE Sensors Letters, 2023.

  19. X. Zhang, L. Wu*, X. Zhang, X. Chen, C. Li, Xun Chen*, Multi-source Domain Generalization and Adaptation towards Cross-subject Myoelectric Pattern Recognition, Journal of Neural Engineering, 2023.

  20. Y. Liu, Y. Wei, C. Li, J. Cheng, R. Song, Xun Chen, Bi-CapsNet: A Binary Capsule Network for EEG-based Emotion Recognition, IEEE Journal of Biomedical and Health Informatics, 2023.

  21. J. Zhang, A. Liu, D. Wang, Y. Liu, Z. J. Wang, Xun Chen*, Transformer-based End-to-End Anatomical and Functional Image Fusion, IEEE Transactions on Instrumentation & Measurement, to appear, 2022.

  22. P. Tan, X. Han, Y. Zou, X. Qu, J. Xue, T. Li, Y. Wang, R. Luo, X. Cui, Y. Xi, L. Wu, B. Xue, D. Luo, Yubo Fan*, Xun Chen*, Zhou Li*, Z. L. Wang, Self-powered gesture recognition wristband enabled by machine learning for full keyboard and multi-command input, Advanced Materials, to appear, 2022. (IF: 32.086)

  23. J. Yin, A. Liu, C. Li, R. Qian, Xun Chen*, Frequency Information Enhanced Deep EEG Denoising Network for Ocular Artifact Removal, IEEE Sensors Journal, 2022.

  24. Y. Liu, Y. Shi, F. Mu, J. Cheng, Xun Chen*, Glioma Segmentation-Oriented Multi-modal MR Image Fusion with Adversarial Learning, IEEE/CAA Journal of Automatica Sinica, 2022.

  25. C. Li, Z. Zhang, R. Song, J. Cheng, Y. Liu, Xun Chen*, EEG-based Emotion Recognition via Transformer Neural Architecture Search, IEEE Transactions on Industrial Informatics, 2022

  26. Y. Gao, Xun Chen*, A. Liu, D. Liang, L. Wu, R. Qian, H. Xie, and Y. Zhang, Pediatric Seizure Prediction in Scalp EEG Using a Multi-Scale Neural Network with Dilated Convolutions, IEEE Journal of Translational Engineering in Health & Medicine, to appear, 2022.

  27. Y. Liu, F. Mu, Y. Shi, Xun Chen*, SF-Net: A Multi-task Model for Brain Tumor Segmentation in Multimodal MRI via Image Fusion, IEEE Signal Processing Letters, to appear, 2022.

  28. C. Li, Y. Zhao, R. Song, X. Liu, R. Qian*, Xun Chen*, Patient-Specific Seizure Prediction from Electroencephalogram Signal via Multi-Channel Feedback Capsule Network, IEEE Transactions on Cognitive and Developmental Systems, 2022.

  29. C. Li, X. Lin, Y. Liu, R. Song, J. Cheng, Xun Chen*, EEG-based Emotion Recognition via Efficient Convolutional Neural Network and Contrastive Learning, IEEE Sensors Journal, to appear, 2022.

  30. R. Song, X. Sun, J. Cheng, X. Yang and Xun Chen*, "Video-based Heart Rate Measurement Against Uneven Illuminations Using Multivariate Singular Spectrum Analysis," IEEE Signal Processing Letters, 2022.

  31. R. Song, Y. Huang, X. Ye*, K. Xu, C. Li, Xun Chen*, Learning-based inversion method for solving electromagnetic inverse scattering with mixed boundary conditions, IEEE Transactions on Antennas and Propagation, to appear, 2022.

  32. R. Song, M. Li, K. Xu, C. Li, Xun Chen*, Electromagnetic inverse scattering with an untrained SOM-Net, IEEE Transactions on Microwave Theory and Techniques, to appear, 2022.

  33. C. Li, J. Li, C. Sui, R. Song and Xun Chen*, Spatial-Spectral Nonlinear Hyperspectral Unmixing Under Complex Noise, IEEE Sensors Journal, vol. 22, no. 5, pp. 4338-4346, Mar. 2022.

  34. Y. Chen, A. Liu, Y. Liu, R. Qian, Q. Xie, Xun Chen*, Image Fusion with Sparse Representation: A Novel Local Contrast Based Pre-processing Strategy, IEEE Sensors Letters, 2022.

  35. C. Li, Y. Hou, R. Song, Y. Liu, J. Cheng, Xun Chen*, “Multi-channel EEG-based Emotion Recognition in the Presence of Noisy Label,” SCIENCE CHINA Information Sciences, 65, 140405:1-16, 2022.

  36. C. Li, C. Sui, R. Song, J. Cheng, Y. Liu, Xun Chen*, “Superpixel-based Noise Robust Sparse Unmixing of Hyperspectral Image,” IEEE Geoscience and Remote Sensing Letters, vol. 19, pp. 1-5, Art no. 6004405, Jan. 2022.

  37. Y. Liu, Lei Wang, Huafeng Li, Xun Chen. Multi-focus image fusion with deep residual learning and focus property detection, Information Fusion, 86 (2022): 1-16.

  38. W. Zhou, A. Liu, L. Wu, Xun Chen*, A L1 normalization enhanced dynamic window method for SSVEP-based BCIs, Journal of Neuroscience Methods, 380, 109688, 2022.

  39. B. Xue, L. Wu, A. Liu; X. Zhang; X. Chen; Xun Chen*, Detecting the universal adversarial perturbations on high-density sEMG signals, Computers in Biology and Medicine, 2022.

  40. Y. Zhao, C. Li, X. Liu, R. Qian, R. Song, Xun Chen, Patient-Specific Seizure Prediction via Adder Network and Supervised Contrastive Learning, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2022.

  41. X. Zhang, X. Zhang, L. Wu, C. Li, X. Chen, Xun Chen, Domain Adaptation with Self-Guided Adaptive Sampling Strategy: Feature Alignment for Cross-user Myoelectric Pattern Recognition, IEEE Transactions on Neural Systems & Rehabilitation Engineering, 2022.

  42. Q. Lin, Aiping Liu*, Y. Li, X. Fu, Xun Chen, Martin McKeown, F. Wu, A joint constrained CCA model for network-dependent brain subregion parcellation, IEEE Journal of Biomedical and Health Informatics, to appear, 2022.

  43. P. Li, H. Xie, S. Min, J. Ge, Xun Chen, Y. Zhang, Deep Fourier Ranking Quantization for Semi-supervised Image Retrieval, IEEE Transactions on Image Processing, 2022

  44. X. Tang, X. Zhang, M. Chen, X. Chen, Xun Chen, Decoding Muscle Force from Motor Unit Firings Using Encoder-Decoder Networks, IEEE Transactions on Neural Systems and Rehabilitation Engineering, to appear, 2022.

  45. R. Hu, X. Chen, H. Zhang , X. Zhang, Xun Chen, A Novel Myoelectric Control Scheme Supporting Synchronous Gesture Recognition and Muscle Force Estimation, IEEE Transactions on Neural Systems & Rehabilitation Engineering, to appear, 2022.

  46. S. Sun, J. Liu, Xun Chen, W. Li, H. Li, Hyperspectral Anomaly Detection With Tensor Average Rank and Piecewise Smoothness Constraints, IEEE Transactions on Neural Networks and Learning Systems, to appear, 2022.

  47. J. Li, J. Zhu, C. Li, Xun Chen, B. Yang, CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion, IEEE Transactions on Instrumentation and Measurement, 2022.

  48. S. Cao, X. Chen, X. Zhang, Xun Chen, Improving the Tracking Accuracy of TDMA-based Acoustic Indoor Positioning Systems using a Novel Error Correction Method, IEEE Sensors Journal, to appear, 2022.

  49. D. Liang, A. Liu, C. Li, J. Liu, Xun Chen, A novel consistency-based training strategy for seizure prediction, Journal of Neuroscience Methods, Volume 372, 15 April 2022, 109557

  50. A. Liu, S. Lee, Xun Chen*, M. McKeown, Z. J. Wang, “Galvanic Vestibular Stimulation: Data Analysis and Applications in Neurorehabilitation,” IEEE Signal Processing Magazine, 38(4) 54-64, July 2021. (IF: 15.204, Invited Article)

  51. Y. Liu, L. Wang, J. Cheng, Xun Chen*, “Multi-scale Feature Interactive Network for Multi-focus Image Fusion”, IEEE Transactions on Instrumentation & Measurement, 70: 5019316, 2021.

  52. A. Liu, G. Song, S. Lee, X. Fu, Xun Chen*, “A State-dependent IVA Model for Muscle Artifacts Removal from EEG Recordings,” IEEE Transactions on Instrumentation & Measurement, 70, 4004413, 2021.

  53. A. Liu, Q. Liu, X. Zhang, X. Chen, Xun Chen*, “Muscle Artifact Removal Towards Mobile SSVEP-based BCI: A Comparative Study,” IEEE Transactions on Instrumentation & Measurement, 70, 4005512, 2021.

  54. H. Li, Y. Cen, Y. Liu, Xun Chen, Z. Yu, “Different Input Resolutions and Arbitrary Output Resolution: A Meta Learning-based Deep Framework for Infrared and Visible Image Fusion,” IEEE Transactions on Image Processing, vol. 30, pp. 4070-4083, 2021. (IF: 11.041)

  55. D. Wang, X. Cui, Xun Chen, Rabab Ward, Z. J. Wang, “Interpreting Bottom-up Decision-Making of CNNs via Hierarchical Inference”, IEEE Transactions on Image Processing, vol. 30, pp. 6701-6714, 2021. (IF: 11.041)

  56. R. Song, H. Chen, J. Cheng, C. Li, Y. Liu, Xun Chen*, “PulseGAN: Learning to generate realistic pulse waveforms in remote photoplethysmography,” IEEE Journal of Biomedical and Health Informatics, 25(5): 1373-1384, 2021.

  57. R. Song, J. Li, J. Cheng*, C. Li, Y. Liu, Xun Chen*, “Motion Robust Imaging Ballistocardiography Through a Two-step Canonical Correlation Analysis,” IEEE Transactions on Instrumentation & Measurement, to appear, 2021.

  58. J. Cheng, P. Wang, R. Song*, Y. Liu, C. Li, Y. Liu, Xun Chen*, “Remote Heart Rate Measurement from Near-Infrared Videos Based on Joint Blind Source Separation with Delay-Coordinate Transformation,” IEEE Transactions on Instrumentation & Measurement, to appear, 2021.

  59. X. Zhang, G. Zhu, M. Chen, Xun Chen*, P. Zhou. "Muscle Force Estimation Based on Neural Drive Information from Individual Motor Units." IEEE Transactions on Neural Systems & Rehabilitation Engineering, to appear, 2021.

  60. J. Cheng, M. Chen, C. Li, Y. Liu, R. Song, A. Liu, Xun Chen, “Emotion Recognition from Multi-Channel EEG via Deep Forest,” IEEE Journal of Biomedical and Health Informatics, vol. 25, no. 2, pp. 453-464, 2021. (ESI Highly Cited Paper)

  61. Y. Liu, Xun Chen*, A. Liu, R. Ward, Z. J. Wang, “Recent Advances in Sparse Representation Based Medical Image Fusion,” IEEE Instrumentation and Measurement Magazine, 24(2):45-53, 2021.

  62. L. Wu, X. Zhang, K. Wang, X. Chen, Xun Chen, “Improved High-density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural Network." IEEE Transactions on Neural Systems & Rehabilitation Engineering, to appear, 2021.

  63. J. Zhang, D. Liang, A. Liu, M. Gao, X. Chen, X. Zhang, Xun Chen, “MLBF-Net: A Multi-Lead-Branch Fusion Network for Multi-Class Arrhythmia Classification Using 12-Lead ECG,” IEEE Journal of Translational Engineering in Health and Medicine, 9 (2021): 1-11.

  64. R. Hu, X. Chen, X. Zhang, Xun Chen, “Adaptive Electrode Calibration Method based on Muscle Core Activation Regions and Its Application in Myoelectric Pattern Recognition,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, to appear, 2021.

  65. X. Chen, Y. Li, R. Hu, X. Zhang, Xun Chen, “Hand Gesture Recognition based on Surface Electromyography using Convolutional Neural Network with Transfer Learning Method,” IEEE Journal of Biomedical and Health Informatics, to appear, 2021.

  66. J. Xu, H. Xie, C. Liu, F. Yang, Xun Chen, Y. Zhang, “Hip Landmark Detection with Dependency Mining in Ultrasound Image”, IEEE Transactions on Medical Imaging, 40(12), 3762-3774, 2021.

  67. W. Tang, Y. Liu*, J. Cheng, C. Li, Xun Chen, “Green Fluorescent Protein and Phase Contrast Image Fusion via Detail Preserving Cross Network”, IEEE Transactions on Computational Imaging, 7: 584-597, 2021.

  68. Y. Li, A. Liu*, T. Mi, R. Yang, P. Chan, M. J. Mckeown, Xun Chen, F. Wu, “Striatal Subdivisions Estimated via Deep Embedded Clustering with Application to Parkinson’s Disease,” IEEE Journal of Biomedical and Health Informatics, 25(9): 3564-3575, 2021.

  69. R. Song, G. Wang, J. Cheng, A. Liu, C. Li, Xun Chen, “Constrained independent vector extraction of quasi-periodic signals from multiple data sets”, Signal Processing, 189(108296), 2021.

  70. Xun Chen, Q. Liu, W. Tao, L. Li, S. Lee, A. Liu, Q. Chen, J. Cheng, M. McKeown, Z. J. Wang, “ReMAE: A User-friendly Toolbox for Removing Muscle Artifacts from EEG,” IEEE Transactions on Instrumentation & Measurement, vol. 69, no. 5, pp. 2105-2119, 2020.

  71. K. Wang, Xun Chen*, L. Wu, X. Zhang, X. Chen, Z. Jane Wang, “High-density Surface EMG Denoising using Independent Vector Analysis,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 28, no. 6, pp. 1271-1281, 2020.

  72. Y. Liu, L. Wang, J. Cheng, C. Li, Xun Chen*, “Multi-focus Image Fusion: A Survey of the State of the Art,” Information Fusion, vol. 64, pp. 71-91, 2020. (IF: 17.564)

  73. X. Zhang, L. Wu, X. Chen, Xun Chen*, “Adaptive Calibration of Electrode Array Shifts Enables Robust Myoelectric Control,” IEEE Transactions on Biomedical Engineering, vol. 67, no. 7, pp. 1947-1957, 2020.

  74. R. Song, S. Zhang, C. Li, Y. Zhang, J. Cheng, Xun Chen, “Heart Rate Estimation from Facial Videos Using a Spatiotemporal Representation with Convolutional Neural Networks,” IEEE Transactions on Instrumentation & Measurement, to appear, 2020.

  75. L. Wu, X. Zhang, K. Wang, X. Chen, Xun Chen, “Improved High-density Myoelectric Pattern Recognition Control Against Electrode Shift Using Data Augmentation and Dilated Convolutional Neural Network." IEEE Transactions on Neural Systems & Rehabilitation Engineering, 28(12), 2637-2646, 2020.

  76. J. Zhang, A. Liu*, M. Gao, X. Chen, X. Zhang, Xun Chen*, “ECG-based Multi-Class Arrhythmia Detection Using Spatio-Temporal Attention-based Convolutional Recurrent Neural Network,” Artificial Intelligence in Medicine, 106 (2020) 101856.

  77. H. Cui, A. Liu, X. Zhang, X. Chen, K. Wang, Xun Chen, “EEG-based Emotion Recognition Using An End-to-end Regional-Asymmetric Convolutional Neural Network,” Knowledge-Based Systems, vol. 205, 106243, 2020.

  78. S. Lee, M. McKeown, Z. J. Wang, Xun Chen*, “Removal of High-Voltage Brain Stimulation Artifacts from Simultaneous EEG Recordings,” IEEE Transactions on Biomedical Engineering, vol. 66, no. 1, pp. 50-60, Jan. 2019.

  79. Xun Chen, J. Cheng, R. Song, Y. Liu, R. Ward, Z. J. Wang, “Video-based Heart Rate Measurement: Recent Advances and Future Prospects,” IEEE Transactions on Instrumentation & Measurement, vol. 68, no. 10, pp. 3600-3615, 2019.

  80. Xun Chen, X. Xu, A. Liu, S. Lee, X. Chen, X. Zhang, M. McKeown, Z. J. Wang, “Removal of muscle artifacts from the EEG: a review and recommendations,” IEEE Sensors Journal, vol. 19, no. 14, pp. 5353-5368, 2019.

  81. Xun Chen, Q. Chen, Y. Zhang, Z. J. Wang, “A Novel EEMD-CCA Approach to Removing Muscle Artifacts for Pervasive EEG,” IEEE Sensors Journal, vol. 19, no. 19, pp. 8420-8431, 2019.

  82. C. Li, W. Tao, J. Cheng, Y. Liu, Xun Chen*, “Robust Multichannel EEG Compressed Sensing in the Presence of Mixed Noise,” IEEE Sensors Journal, vol. 19, no. 22, pp. 10574-10583, 2019.

  83. Y. Liu, Xun Chen*, R. Ward, Z. J. Wang, “Medical Image Fusion via Convolutional Sparsity based Morphological Component Analysis,” IEEE Signal Processing Letters, vol. 26, no. 3, pp. 485-489, 2019. (ESI Highly Cited Paper)

  84. Y. Jiao, Y. Zhang, Xun Chen, E. Yin, J. Jin, X. Wang, and A. Cichocki. "Sparse Group Representation Model for Motor Imagery EEG Classification." IEEE Journal of Biomedical and Health Informatics, 23(2), 631-641, Mar. 2019. (ESI Highly Cited Paper)

  85. M. Yin, X. Liu, Y. Liu, Xun Chen, “Medical Image Fusion With Parameter-Adaptive Pulse Coupled-Neural Network in Nonsubsampled Shearlet Transform Domain,” IEEE Transactions on Instrumentation & Measurement, vol. 65, no. 1, pp. 49-64, Jan. 2019. (ESI Highly Cited Paper, 2020 IEEE TIM Andy Chi Best Paper Award)

  86. Xun Chen, X. Xu, A. Liu, M. McKeown, Z. J. Wang, “The Use of Multivariate EMD and CCA for Denoising Muscle Artifacts from Few-Channel EEG Recordings,” IEEE Transactions on Instrumentation & Measurement, vol. 67, no. 2, pp. 359-370, 2018. (ESI Highly Cited Paper)

  87. Y. Liu, Xun Chen*, Z. Wang, Z. J. Wang, R. Ward, X. Wang, “Deep Learning for Pixel-level Image Fusion: Recent Advances and Future Prospects,” Information Fusion, vol. 42, pp. 158–173, 2018. (IF: 17.564, ESI Highly Cited Paper)

  88. J. Cheng, Xun Chen*, L. Xu, Z. J. Wang, “Illumination Variation-Resistant Video-Based Heart Rate Measurement Using Joint Blind Source Separation and Ensemble Empirical Mode Decomposition”, IEEE Journal of Biomedical and Health Informatics, vol. 21, no. 5, pp. 1422-1433, 2017.

  89. Xun Chen, H. Peng, F. Yu, K. Wang, “Independent Vector Analysis Applied to Remove Muscle Artifacts in EEG Data,” IEEE Transactions on Instrumentation & Measurement, vol. 66, no. 7, pp. 1770-1779, 2017.

  90. Y. Liu, Xun Chen*, H. Peng, Z. Wang, “Multi-focus image fusion with a deep convolutional neural network”, Information Fusion, vol. 36, pp. 191–207, 2017. (IF: 17.564, ESI Highly Cited Paper)

  91. Xun Chen*, Z. Jane Wang, M. J. McKeown, “Joint Blind Source Separation for Neurophysiological Data Analysis: Multiset and multimodal methods,” IEEE Signal Processing Magazine, vol. 33, no. 3, pp. 86-107, 2016. (IF: 15.204, Feature Article)

  92. Y. Liu, Xun Chen*, R. Ward, Z. J. Wang, “Image Fusion With Convolutional Sparse Representation”, IEEE Signal Processing Letters, vol. 23, no. 12, pp. 1882-1886, 2016. (ESI Highly Cited Paper)

  93. A. Liu, Xun Chen*, M. J. McKeown, Z. J. Wang, “A Combined Static and Dynamic Model for Resting State fMRI Brain Connectivity Networks,” IEEE Journal of Selected Topics in Signal Processing, vol. 10, no. 7, pp. 1172-1181, 2016.

  94. Xun Chen, A. Liu, Joyce Chiang, Z. Jane Wang, Martin J. McKeown, Rabab K. Ward, “Removing Muscle Artifacts from EEG Data: Multichannel or Single-Channel Techniques?” IEEE Sensors Journal, vol. 16, no. 7, pp. 1986-1997, 2016.

  95. A. Liu, Xun Chen*, M. J. Mckeown, Z. J. Wang, "A Sticky Weighted Regression Model for Time-Varying Resting State Brain Connectivity Estimation," IEEE Transactions on Biomedical Engineering, vol. 62, no. 2, pp. 501-510, 2015.

  96. Xun Chen, A. Liu, M. J. McKeown, H. Poizner, Z. J. Wang, "An EEMD-IVA Framework for Concurrent Multidimensional EEG and Unidimensional Kinematic Data Analysis," IEEE Transactions on Biomedical Engineering, vol. 61, no. 7, pp. 2187-2198, 2014.

  97. Xun Chen, Z. J. Wang, M. J. Mckeown, " A Three-Step Multimodal Analysis Framework for Modeling Corticomuscular Activity With Application to Parkinson’s Disease," IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 4, pp. 1232-1241, 2014.

  98. Xun Chen, C. He, Z. J. Wang, M. J. Mckeown, "An IC-PLS Framework for Corticomuscular Coupling Analysis," IEEE Transactions on Biomedical Engineering, 60(7) 2022-2033, 2013.

  99. Xun Chen, X. Chen, R. K. Ward, Z. J. Wang, "A Joint Multimodal Group Analysis Framework for Modeling Corticomuscular Activity," IEEE Transactions on Multimedia, 15(5) 1049-1059, 2013.

  100. Xun Chen, Z. J. Wang, “Pattern Recognition of Number Gestures Based on A Wireless Surface EMG System,” Biomedical Signal Processing & Control, vol. 8, no. 2, pp. 184–192, March 2013. (One of the 5 Most Highly Cited Papers in this journal)

部分国内创办期刊论文(望主编/副主编/编委在其位、谋其职，将国产期刊越办越好，想自信、能自信、自成信)

  1. D. Wang, A. Liu, B. Xue, L. Wu, Xun Chen*, Improving the performance of SSVEP-BCI contaminated by physiological noise via adversarial training, Medicine in Novel Technology and Devices, 18( 100213), 2023.

  2. 尹瑾, 刘爱萍, 李畅, 钱若兵, 陈勋*. 基于并行CNN和Transformer的脑电降噪网络, 信号处理, 2023.

  3. 刘羽, 朱文瑜, 成娟, 陈勋*, 残差密集注意力网络多模态MR图像超分辨率重建, 中国图象图形学报, 28(1): 248-259, 2023.

  4. C. Li, Y. Hou, R. Song, Y. Liu, J. Cheng, Xun Chen*, “Multi-channel EEG-based Emotion Recognition in the Presence of Noisy Label,” SCIENCE CHINA Information Sciences, 65, 140405, 2022.

  5. Y. Liu, Y. Shi, F. Mu, J. Cheng, Xun Chen*, "Glioma Segmentation-Oriented Multi-modal MR Image Fusion with Adversarial Learning," IEEE/CAA Journal of Automatica Sinica, 2022.

  6. 邹亮, 张鹏, 陈勋*. 基于三阶统计量的欠定盲源分离方法. 电子与信息学报, 2022,44(11):3960-3966.

  7. 成娟, 张楚雅, 刘羽, 李畅, 朱智勤, 陈勋, 基于多模态磁共振图像特征选择的脑胶质瘤分割, 中国生物医学工程学报, 41(5): 513-526, 2022.

  8. Y. Feng, Q. Liu, A. Liu, R. Qian, Xun Chen, “A Novel SSA-CCA Framework for Muscle Artifact Removal from Ambulatory EEG”, Virtual Reality & Intelligent Hardware, 2022.

  9. 成娟, 陈勋*, 彭虎. 基于样本熵的肌电信号起始点检测研究[J]. 电子学报, 2016, 44(2): 479-484.

  10. 陈强, 陈勋*, 余凤琼. 基于独立向量分析的脑电信号中肌电伪迹的去除方法[J]. 电子与信息学报, 2016, 38(11): 2840-2847.