陈勋 教授、博导、副院长

中国科学技术大学 信息科学技术学院

中国科大附属第一医院 神经外科

电子邮箱：xunchen@ustc.edu.cn; xunchen@ece.ubc.ca
地址：安徽省合肥市蜀山区黄山路443号中国科大西区电二楼（230027）
简介

陈勋，中国科学技术大学教授、博士生导师、长江学者特聘教授，信息科学技术学院副院长，兼任电子工程与信息科学系执行主任。本科毕业于中国科学技术大学电子科学与技术系，博士毕业于加拿大不列颠哥伦比亚大学电子与计算机工程系，随后在不列颠哥伦比亚大学做博士后研究员，曾任合肥工业大学生物医学工程系教授、系主任。主要从事医学人工智能、脑机接口、多模态图像分析等领域的研究工作，承担科技部、基金委等国家级项目/课题十余项，在IEEE SPM/TIM/TNSRE/TBME等国际权威期刊上发表论文150余篇，包括14篇ESI高被引论文，获IEEE/Elsevier/IOP期刊论文奖。担任科技部重点专项总体组专家，中国生物医学工程学会理事、青年工作委员会副主委，中国人工智能学会脑机融合专委会副主委，IEEE Senior Member，IEEE智能医疗数字化技术委员会理事，IEEE信号与系统测量/医学与生物测量技术委员会委员，国际权威期刊IEEE TBME/TIM/SPL/OJSP等编委。入选科睿唯安全球高被引科学家和全球前2%顶尖科学家终身科学影响力榜单，曾获达摩院青橙奖、国家优青、华瑙学者奖、中国科协青年人才托举工程、中国电子学会优秀科技工作者等荣誉。
Recruitment

Faculty Openings

依托类脑智能技术及应用国家工程实验室及中国科大附属第一医院，课题组拟招聘特任副研究员和博士后若干名，欢迎有志于从事脑科学、人工智能、脑机接口、医学影像、语音语言、计算机视觉等交叉研究的国内外优秀博士毕业生及博士后咨询和加盟，学校和实验室将提供一流研究平台、高质量生源及丰厚待遇，此外，中国科大特设立“墨子杰出青年特殊津贴”，重金诚聘海内外青年人才加盟聘期制科研队伍，入选者年薪可达40万元。最好的平台期待最优秀的你！[Link]

Student Openings

课题组每年招收硕士研究生和博士研究生若干名，欢迎信息、计算机、统计、数学、生物医学工程等相关专业的优秀本科生加入。同时，课题组与国外著名大学有稳定合作研究，对研究成果突出的学生，可以推荐赴国外访问学习/联合培养。此外，课题组每年会招收少量本校本科生参与科研，不限专业。由于名额限制，请尽早联系。
研究方向

医学人工智能，脑机接口，多模态图像分析。
学术服务

Associate Editor-in-Chief, Intelligent Sports and Health

Associate Editor, IEEE Transactions on Biomedical Engineering

Associate Editor, IEEE Transactions on Instrumentation and Measurement

Associate Editor, IEEE Open Journal of Signal Processing

Associate Editor, IEEE Signal Processing Letters

Area Editor, Signal Processing: Image Communication

Editorial Board, Cognitive Neurodynamics

Editorial Board, Journal of Neuroscience Methods

Associate Editor, Frontiers in Neuroscience

Guest Editors, Frontiers in Aging Neuroscience/Journal of Neuroscience Methods
科研项目

  1. 国家重点研发计划，面向临床应用的实用脑机接口共性关键技术研究，2024.12-2027.11，项目负责人；

  2. 国家重点研发计划，非侵入神经生理信号高精度采集与计算芯片关键技术研究及应用, 2021.12-2024.11，课题负责人；

  3. 国家自然科学基金区域联合重点项目，面向胰腺癌智能精细化诊断的多模态医学图像融合关键技术研究，2024-2027，负责人；

  4. 中科院稳定支持基础研究领域青年团队计划，先进光学多模态融合成像，2023.1-2027.12，科大负责人；

  5. 国家自然科学基金面上项目，面向癫痫预测的深度学习模型可解释性与泛化性研究，2023.1-2026.12，负责人；

  6. 国家优秀青年科学基金，神经生理信号处理与分析，2020.1-2022.12，负责人；

  7. 国家重点研发计划，面向移动终端的高效率多通道信息输入和内容编辑, 2018.8-2021.7，课题负责人；

  8. 中国科协青年人才托举工程， 2017.1-2019.12，负责人；

  9. 国家自然科学基金面上项目，基于视频的非接触式生理参数监测关键技术研究，2016.01-2019.12，负责人；

  10. 国家自然科学基金青年基金，脑电信号中肌电噪声去除的新探索，2016.01-2018.12，负责人；
部分期刊论文

  1. X. Huang, C. Li, A. Liu, R. Qian, Xun Chen, EEGDfus: A Conditional Diffusion Model for Fine-Grained EEG Denoising, IEEE Journal of Biomedical and Health Informatics, to appear, 2025.

  2. J. Li, A. Liu, W. Wei, R. Qian, Xun Chen, CH-Net: A Cross Hybrid Network for Medical Image Segmentation, IEEE Transactions on Artificial Intelligence, 2025.

  3. W. Ding, A. Liu, C. Xie, K. Wang, Xun Chen, Enhancing Domain Diversity of Transfer Learning-Based SSVEP-BCIs by the Reconstruction of Channel Correlation, IEEE Transactions on Biomedical Engineering, 2025.

  4. K. Shu, L. Wu, Y. Zhao, A. Liu, R. Qian, Xun Chen, Data Augmentation for Seizure Prediction with Generative Diffusion Model, IEEE Transactions on Cognitive and Developmental Systems, 2025.

  5. Y. Chen, A. Liu, Y. Liu, Z. He, C. Liu, Xun Chen, Multi-Dimensional Medical Image Fusion with Complex Sparse Representation, IEEE Transactions on Biomedical Engineering, 2024.

  6. H. Cui, A. Liu, C. Li, R. Qian, Xun Chen, A Dual-Branch Interactive Fusion Network to Remove Artifacts from Single-Channel EEG, IEEE Transactions on Instrumentation and Measurement, to appear, 2024.

  7. W. Ding, A. Liu, L. Guan, Xun Chen, A Novel Data Augmentation Approach Using Mask Encoding for Deep Learning-Based Asynchronous SSVEP-BCI, IEEE Transactions on Neural Systems and Rehabilitation Engineering, to appear, 2024.

  8. Y. Liu, Y. Chen, J. Cheng, Z. J. Wang, Xun Chen, MM-Net: A MixFormer-Based Multi-Scale Network for Anatomical and Functional Image Fusion, IEEE Transactions on Image Processing, 2024.

  9. J. Li, A. Liu, Y. Li, W. Wei, R. Qian, Q. Xie, B. Qiu, Xun Chen, Rethinking Deep Supervision for Brain Tumor Segmentation, IEEE Transactions on Artificial Intelligence, to appear, 2024.

  10. Z. Wang, A. Liu, J. Wei, Q. Xie, K. Wang, Xun Chen, DDC-Net: Dual-Domain Cascaded Network with POCS Prior for Fast MRI Reconstruction, IEEE Sensors Journal, to appear, 2024.

  11. J. Zhang, A. Liu, Y. Liu, B. Qiu, Q. Xie, Xun Chen, LeGFusion: Locally-enhanced Global Learning for Multi-Modal Image Fusion, IEEE Sensors Journal, 2024.

  12. T. Mao, C. Li, R. Song, G. Xu, Xun Chen, Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation, IEEE Internet of Things Journal, 2024.

  13. Y. Liu, Z. Qi, J. Chen, Xun Chen, Rethinking the Effectiveness of Objective Evaluation Metrics in Multi-focus Image Fusion: A Statistic-based Approach, IEEE Transactions on Pattern Analysis and Machine Intelligence, to appear, 2024.

    14.

  14. 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. (IF: 14.9, Invited Article)

  15. 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: 11.2, ESI Highly Cited Paper)

  16. 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: 11.2)

  17. 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: 11.2, ESI Highly Cited Paper)

  18. 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: 14.9, Invited Article)

  19. X. Wang, A. Liu, L. Wu, L. Guan, Xun Chen, Improving Generalized Zero-Shot Learning SSVEP Classification Performance from Data-Efficient Perspective, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2023.

  20. 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.

  21. 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.

  22. 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.

  23. 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.

  24. 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.

  25. 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.

  26. 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.

  27. 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.

  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, to appear, 2023. DOI: 10.1109/TCDS.2022.3212019

  29. 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.

  30. 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.

  31. 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.

  32. 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.

  33. 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.

  34. 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.

    35.

  35. 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, ESI Highly Cited Paper)

    36.

  36. 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.

  37. 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.

  38. 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. (IF: 12.3, ESI Highly Cited Paper)

  39. 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.

  40. 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.

  41. 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.

  42. 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.

  43. 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.

    44.

  44. 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.

  45. 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.

    46.

  46. 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.

  47. 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.

    48.

  48. 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.

  49. 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.

  50. 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.

  51. 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

  52. 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: 14.9, Invited Article)

  53. 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.

  54. 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.

  55. 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.

  56. 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.

  57. 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.

  58. 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.

  59. 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.

  60. 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.

  61. 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)

  62. 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.

  63. 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.

  64. 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.

  65. 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.

  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.

  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: 18.6, ESI Highly Cited Paper)

  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.

  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.

  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.

  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: 18.6, 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: 18.6, ESI Highly Cited Paper)

    91.

  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. (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.

  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.

  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.

  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.