[1] Yikang Yang, Jia Ren,· Feng Duan*, “The Spiking Rates Inspired Encoder and Decoder for Spiking Neural Networks: An Illustration of Hand Gesture Recognition,” Cognitive Computation (Early Access), DOI: 10.1007/s12559-022-10027-1, 2022.
[2] Hao Cheng,· Feng Duan*, Maochang He, ”Spiking Memory Policy with Population-encoding for Partially Observable Markov Decision Process Problems,” Cognitive Computation(Early Access), 2022.
[3] Xuning Chen, Li Binhua, Hao Jia, Fan Feng, Feng Duan*, Sun Zhe, Cesar F Caiafa, Jordi Solé-Casals, “Graph Empirical Mode Decomposition Based Data Augmentation for Gifted Children MRI Dataset Analysis,” Frontiers in Neuroscience, section Brain Imaging Methods(Early Access), 2022.
[4] Yunbiao Jiang, Zhongxin Liu, Zengqiang Chen, Feng Duan, “Error-constrained Coordinated Tracking Control for High-order Multiagent Systems Based on Barrier Lyapunov Funct”, International Journal of Control Automation and Systems, vol. 20, no. 4, pp. 1238-1249, DOI: 10.1007/s12555-021-0144-7, 2022.
[5] Zhiwen Zhang, Feng Duan, Cesar F. Caiafa,·Jordi Solé‑Casals1, Zhenglu Ya, Zhe Sun*, “Domain Classifier-based Transfer Learning for Visual Attention Prediction,” World Wide Web-Internet and Web Information SystemS(Early Access), DOI: 10.1007/s11280-022-01027-0, 2022.
[6] Yu Feng, Fuyong Wang*, Feng Duan*, Zhongxin Liu, Zengqiang Chen, “Anonymous Privacy-Preserving Consensus via Mixed Encryption Communication,” IEEE Transactions on Circuits and Systems II: Express Briefs(Early Access), DOI: 10.1109/TCSII.2022.3144389, 2022.
[7] Jin Zhang, Fan Feng, Tianyi Han, Xiaoli Gong, Feng Duan*, “Detection of Autism Spectrum Disorder using fMRI Functional Connectivity with Feature Selection and Deep Learning,” Cognitive Computation(Early Access),DOI: 10.1007/s12559-021-09981-z, 2022.
2021年
[1] Jin Zhang, Fan Feng, Pere Marti-Puig, Cesar F. Caiafa, Zhe Sun, Feng Duan*, Jordi Solé-Casals*, “Serial-EMD: Fast Empirical Mode Decomposition Method for Multi-Dimensional Signals Based on Serialization,” Information Sciences, vol. 581, no. 2021, pp. 215-232,DOI: 10.1016/j.ins.2021.09.033,2021.
[2] Ying Tan, Zhe Sun, Feng Duan*, Jordi Sol´e-Casals,Cesar F. Caiafa, “A Multimodal Emotion Recognition Method Based on Facial Expressions and Electroencephalography,” Biomedical Signal Processing and Control, vol. 70, DOI: 10.1016/j.bspc.2021.103029,2021.
[3] Yan Wang, Feng Duan*, Yongchen Wang, “Multi-Point Surface FES Hand Rehabilitation System for Stroke Patients Based on Eye Movement Control,” Advanced Robotics, vol. 35, no. 20, pp. 1198-1208,DOI: 10.1109/TNNLS.2021.3105595,2021.
[4] Yang yang Dai, Feng Duan*, Fan Feng, Zhe Sun, Yu Zhang, Cesar F. Caiafa, Pere Marti-Pui and Jordi Solé-Casals*, “A Fast Approach to Removing Muscle Artifacts for EEG with Signal Serialization Based Ensemble Empirical Mode Decomposition,” Entropy, vol. 23, no. 9,DOI: 10.3390/e23091170,2021.
[5] Feng Duan*, Jianing Xue, Zhe Sun, Xuyi Chen, Yu Liu, and Hiroshi Yokoi, “A Novel Waterproof sEMG Electrode Based on Conductive Silicone for Underwater Signal Recognition,” IEEE Sensors Journal, vol. 21, no. 18, pp. 20388-20397,DOI: 10.1109/JSEN.2021.3095118,2021.
[6] Binghua Li, Zhiwen Zhang, Feng Duan*, Zhenglu Yang, Qibin Zhao, Zhe Sun*, Jordi Solé-Casals*, “Component-mixing Strategy: A Decomposition-based Data Augmentation Algorithm for Motor Imagery Signals,” Neurocomputing, vol. 465, no. 2021, pp. 325–335,DOI: 10.1016/j.neucom.2021.08.119,2021.
[7] Feng Duan*, Hao Jia, Zhe Sun*, Kai Zhang, Yangyang Dai, Yu Zhang, “Decoding Premovement Patterns with Task-Related Component Analysis,” Cognitive Computation, vol. 13, no. 5, pp. 1389-1405,DOI: 10.1007/s12559-021-09941-7,2021.
[8] Feng Duan*, Yikang Yang, “Recognizing Missing Electromyography Signal by Data Split Reorganization Strategy and Weight-Based Multiple Neural Network Voting Method,” IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 5, pp. 2070-2079,DOI: 10.1109/TNNLS.2021.3105595,2021.
[9] Jin Zhang1, Fan Feng1, Tianyi Han, Feng Duan*, Zhe Sun*, Cesar F. Caiafc a, Jordi Solé-Casals*, “A Hybrid Method to Select Morphometric Features Using Tensor Completion and F-Score Rank for Gifted Children Identification,” Science China-Technological Sciences, vol. 64, no. 9, pp. 1863-1871, SEP 2021, DOI: 10.1007/s11431-020-1876-3,2021.
[10] Feng Duan*, Hao Jia, Zhiwen Zhang, Fan Feng, Ying Tan, Yangyang Dai, Andrzej Cichocki, Zhenglu Yang, Cesar F. Caiafa*, Zhe Sun*, and Jordi Sol´e-Casals*, “On the Robustness of EEG Tensor Completion Methods,” Science China-Technological Sciences, vol. 64, no. 9, pp. 1828-1842, DOI: 10.1007/s11431-020-1839-5.2021.
[11] Mingxin Zhang, Feng Duan*, Shan Wang, Kai Zhang, Xuyi Chen, Zhe Sun, “A Study of the Brain Network Connectivity in Visual-Word Pairing Associative Learning and Episodic Memory Reactivating Task,” Computational Intelligence and Neuroscience, vol. 2021, Article ID 5579888, 13 pages, DOI: 10.1155/2021/5579888,2021.
2020年
[1] Zhe Sun, Binghua Li, Feng Duan*, Hao Jia, Shan Wang, Yu Liu, Andrzej Cichocki, Cesar F. Caiafa, Jordi Solé-Casals, “WLnet: Towards an Approach for Robust Workload Estimation Based on Shallow Neural Networks,” IEEE Access, vol. 9, pp. 3165-3173, DOI: 10.1109/ACCESS.2020.3044732. 2020.
[2] Shan Wang, Feng Duan*, Mingxin Zhang, “Convolution-GRU Based on Independent Component Analysis for fMRI Analysis with Small and Imbalanced Samples,” Applied Sciences, vol. 10, no. 21, DOI: 10.3390/app10217465, 2020.
[3] Tianlei Jin, Feng Duan*, Zhenyu Yang, Shifan Yin, Xuyi Chen, Yu Liu, Qingyu Yao and Fengzeng Jian, “Markerless Rat Behavior Quantification with Cascade Neural Network”, Frontiers in Neurorobotics, vol. 14, DOI: 10.3389/fnbot.2020.570313, 2020.
[4] Feng Duan1*, Zihao Huang1, Zhe Sun*, Yu Zhang, Qibin Zhao, Andrzej Cichocki, Zhenglu Yang, Jordi Solé-Casals*, “Topological Network Analysis of Early Alzheimer’s Disease Based on Resting-State EEG,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 28, no. 10, pp. 2164-2172, DOI: 10.1109/TNSRE.2020.3014951, 2020.
[6] Yikang Yang, Feng Duan*, Jia Ren, Jianing Xue, Yizhi Lv, Chi Zhu, Hiroshi Yokoi, “Performance Comparison of Gestures Recognition System Based on Different Classifiers,” IEEE Transactions on Cognitive and Developmental Systems, vol. 13, no. 1, pp. 141-150, March 2021, DOI: 10.1109/TCDS.2020.2969297, 2020.
2019年
[1]Wenyu Li, Qinglin Dong, Hao Jia, Shijie Zhao, Yongchen Wang, Li Xie, Qiang Pan, Feng Duan*, Tianming Liu*, “Training a Camera to Perform Long-Distance Eye Tracking by another Eye-Tracker,”IEEE Access, vol. 7, no. 1, pp. 155313-155324, DOI: 10.1109/ACCESS.2019.2949150, 2019.
[2]Feng Duan*, Shifan Yin, Peipei Song, Wenkai Zhang, “Automatic Welding Defect Detection of X-ray Images by Using Cascade AdaBoost with Penalty Term,” IEEE Access, Page(s): 1-1, DOI:10.1109/ACCESS.2019.2927258, 2019.
[3]Tianlei Jin,Feng Duan*, “Rat Behavior Observation System Based on Transfer Learning,” IEEE Access, vol. 7, pp. 62152-62162, DOI 10.1109/ACCESS.2019.2916339, 2019.
[4]Liang Shi,Feng Duan*, Yikang Yang,, “The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis Methods,” Sensors, vol. 19, no. 9, 2204, doi:10.3390/s19092204, 2019.
[5]Wenyu Li,Feng Duan*, Chengguang Xu, “Design and Performance Evaluation of a Simple Semi-Physical Human-Vehicle Collaborative Driving Simulation System,” IEEE Access, Page(s):31971-31983, vol. 7, no. 1, pp. 31971-31983, DOI:10.1109/ACCESS.2019.2903305, 2019.
[6]Z. Zhang,F. Duan*, “A Novel Deep Learning Approach with Data Augmentation to Classify Motor Imagery Signals,” IEEE Access, vol. 7, pp. 15945–15954, DOI:10.1109/ACCESS.2019.2895133,2019.
[7]Zhao Fei, Li jianwei, Wang Renjie, Xu Huiyou, Ma Ke, Kong Xianbin, Sun Zhonglei, Niu Xuegang, Jiang Jipeng, Liu Baohu, Li Bo,Duan Feng*,Chen Xuyi*, “Exendin-4 promotes actin cytoskeleton rearrangement and protects cells from Nogo-A-Δ20 mediated spreading inhibition and growth cone collapseby down-regulating RhoA expression and activation via the PI3K pathway,” Biomedicine & Pharmacotherapy 109 (2019) 135–143.
2018年
[1]Hongbo Liang *, Chang LiuPeirang Li, Haoyong Yu, Yuling Yan,Feng Duan, “Feature Extraction of Shoulder Joint’s Voluntary Flexion-Extension Movement based on Electroencephalography Signals for Power Assistance,” Bioengineering, November 2018, Article, ID: bioengineering-399657.
[2]Feng Duan*, Xina Ren, Yikang Yang, “A Gesture Recognition System Based on Time Domain Features and Linear Discriminant Analysis,” IEEE Transactions on Cognitive and Developmental Systems, Year: 2018 , ( Early Access ), Pages: 1 – 1.
[3]W. Li,F. Duan*, S. Sheng, C. Xu, R. Liu, Z. Zhang, X. Jiang, “A Human-Vehicle Collaborative Simulated Driving System Based on Hybrid Brain-Computer Interfaces and Computer Vision,” IEEE Trans. on Cognitive and Developmental Systems, vol. 10, no. 3, pp.810-822,2018.
2017年
[1]F. Duan*, L. Dai,“Recognizing the Gradual Changes in sEMG Characteristics Based on Incremental Learning of Wavelet Neural Network Ensemble,” IEEE Trans. on Industrial Electronics, vol. 64, no. 5, pp. 4276-4286, 2017.
[2]M. Li, W. Li*, L. Niu, H. Zhou, G. Chen,F. Duan, “An Event-Related Potential-Based Adaptive Model for Telepresence Control of Humanoid Robot Motion in an Environment Cluttered with Obstacles,” IEEE Trans. on Industrial Electronics, vol. 64, no. 2, pp. 1696-1705, 2017.
[3]F. Duan, “Adaptive Control of DC Motor for One-DOF Rehabilitation Robot,” Jour of Electrical Engineering (ELEKTRIKA), vol. 16, no. 3, pp. 1-5, 2017.
[4]F. Duan,“Smart Advertising Robot with Image Recognition for Data Analy Cognitive-Based EEG BCIs and Human Brain-Robot Interactionstics,” Jour of Electrical Engineering (ELEKTRIKA), vol. 16, no. 3, pp. 11-16, 2017.
[5]Wei Li(#) (*), Jing Jin,Feng Duan, “Cognitive-Based EEG BCIs and Human Brain-Robot Interactions,” Computational Intelligence and Neuroscience, 9471841, 2017.
[6]S. Liu, Z. Z,F. Duan, X. Zhou, Z. Meng, “Identification of Anisomerous Motor Imagery EEG Signals Based on Complex Algorithms,” 022221Q1 Computational Intelligence and Neuroscience, vol. 2017, Article ID 2727856.
[7]Xue Jiang(#),Han Zhang,FengDuan, Xiongwen Quan (*), “Identify Huntington's disease associated genes based on restricted Boltzmann machine with RNA-seq data,” BMC BIOINFORMATICS, vol. 18, pp. 0-447,2017.
2016年
[1]F. Duan*, L. Dai, W. Chang, Z. Chen, C. Zhu*, W. Li, “sEMG-Based Identification of Hand Motion Commands Using Wavelet Neural Network Combined with Discrete Wavelet Transform,” IEEE Trans. on Industrial Electronics, vol. 63, no. 3, pp. 1923-1934, 2016.
[2]F. Duan*, Z. Zhang, Q. Gao, “Verification of the Effect of an Assembly Skill Transfer Method on Cognition Skills,” IEEE Trans. on Cognitive and Developmental Systems, vol. 8, no. 2, pp. 73-83, 2016.
2015年
[1]F. Duan*, D. Lin, W. Li, “Design of a Multimodal EEG-based Hybrid BCI System with Visual Servo Module,” IEEE Trans. on Autonomous Mental Development, vol. 7, no. 4, pp. 332-341, 2015.
2013年
[1]F. Duan, Q. Gao*, “An Assembly-Skill-Transferring Method for Cellular Manufacturing System – Part I: Verification of the Proposed Method for Motor Skill,” IEEE Trans. on Automation Science and Engineering, vol. 10, no. 2, pp. 465-470, 2013.
2012年
[1]F. Duan*, “Application of the Assembly Skill Transfer System in an Actual Cellular Manufacturing System,” IEEE Trans. on Automation Science and Engineering, vol. 9, no. 1, pp. 31-41, 2012.
2010年
[1]F. Duan,“Safety Strategy for Human-Robot Collaboration: Design and Development in Cellular Manufacturing,” The Int. Journal of the Robotics Society of Japan - Advanced Robotics, vol. 24, no. 5-6, pp. 839-860, 2010.
2009年
[1]F. Duan, “Operator Monitoring System for Cell Production,” The Int. Journal of the Robotics Society of Japan Advanced Robotics, no. 23, pp. 1373-1391, 2009.
[2]F. Duan, “Man-Machine Interface for Human-Robot Collaborative Cellular Manufacturing System,” Int. Journal of Automation Technology, vol. 3, no. 6, pp. 760-767, August 2009.
2008年
[1]F. Duan, “Multi-modal Assembly-Support System for Cell Production,” Int. Journal of Automation Technology, vol. 2, no. 5, pp. 384-389, August, 2008.