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1. Ke Liu, Zhu Liang Yu, Wei Wu, Zhenghui Gu, Yuanqing Li and Srikantan Nagarajan, “Bayesian Inference with Variation Sparseness for Electromagnetic Imaging of Extended Sources”, accepted for publication in Neurocomputing，Available online 26 June 2018. https://doi.org/10.1016/j.neucom.2018.06.004
2. R. Zhang, S. He, X. Yang, X. Wang, K. Li, Q. Huang, Z. Gu, Z. L. Yu, X. Zhang, D. Tang and Y. Li ,“An EOG-based Human Machine Interface to Control a Smart Home Environment for Patients with Severe Spinal Cord Injuries”, IEEE Trans. Biomedical Engineering, DOI: 10.1109/TBME.2018.2834555
3. Y. Zhu, R. Chen, Y.-H. Juan, H. Li, J. Wang, Z. L. Yu*, H. Liu*,“Clinical validation and assessment of aortic hemodynamics using computational fluid dynamics simulations from computed tomography angiography”, BioMedical Engineering OnLine, DOI : 10.1186/s12938-018-0485-5
4. J. Qu, F. Wang, Z. Xia, T. Yu, J. Xiao, Z.L. Yu, Z. Gu, Y. Li*,“A Novel 3D P300 Speller Based on Stereo Visual Stimuli” , IEEE Transactions on Human-Machine Systems，vol. 48, no. 4, Aug., 2018, pp. 392-399, DOI: vol. 26, no. 3, March, 2018, pp. 698-708, DOI: 10.1109/TNSRE.2018.2794415
5. J. Li, Z. L. Yu (*), Z. Gu, W. Wu, Y. Li and L. Jin,“A Hybrid Network for ERP Detection and Analysis Based on Restricted Boltzmann Machines”, IEEE Trans. Neural Syst. Rehabil. Eng.，vol. 26, no. 3, March 2018, pp. 563-572, DOI: 10.1109/TNSRE.2018.2803066.(PDF)
6. Z. Zhang, T. Fu, Z. Yan, L. Jin, L. Xiao, Y. Sun, Z.L. Yu, and Y. Li，“A Varying-Parameter Convergent-Differential Neural Network for Solving Joint-Angular-Drift Problems of Redundant Robot Manipulators”, IEEE Trans. Mechatronics，2018, DOI: 10.1109/TMECH.2018.2799724
7. J. Zhang, Z. L. Yu (*) , Z. Gu, Y. Li and Z. Lin， “Multichannel Electrocardiogram Reconstruction in Wireless Body Sensor Networks through Weighted ℓ1,2 Minimization”, IEEE Trans. Instrumentation and Measurements, vol. 67, no. 9, Sept. 2018, pp. 2024-2034. (PDF)
8. Z. Zhang, Y. Lu, L. Zheng, S. Li, Z. L. Yu, Y. Li, “A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-varying Convex QP Problem Constrained by Linear-Equality”， IEEE Trans. Automatic Control.， DOI：10.1109/TAC.2018.2810039
9. X. Xie, Z.L. Yu (*), Z. Gu, J. Zhang, L. Cen, and Y. Li, “Bilinear Regularized Locality Preserving Learning on Riemannian Graph for Motor Imagery BCI”, IEEE Trans. Neural Systems & Rehabilitation Engineering, vol. 26, no. 3, March, 2018, pp. 698-708, DOI: 10.1109/TNSRE.2018.2794415 (PDF)
10. Jiajun Xie(*), Yu-Hsiang Juan(*), Qiushi Wang(*), Jimei Chen, Jian Zhuang, Zhaofeng Xie,Changhong Liang, Yulei Zhu, Z. L. Yu, Jinglei Li, Sachin S. Saboo and Hui Liu,” Evaluation of left pulmonary artery sling, associated cardiovascular anomalies, and surgical outcomes using cardiovascular computed tomography angiography”, Scientific Reports, 7(2017) （PDF）
11. J. Zhang, Z.L. Yu (*), L. Cen, Z. Gu, Z. Lin, Y. Li, “Deterministic Construction of Sparse Binary Matrices via Incremental Integer Optimization”, Information Science, 2017, DOI: 10.1016/j.ins.2017.11.056.
12. J. Huang, Z.L. Yu (*), Z. Gu, J. Zhang and L. Cen, “Sparse and Heuristic Extreme Learning Machine for Classifier and Regressor Fusion”, International Journal of Machine Learning and Cybernetics
13. M. Liu, W. Wu, Z. Gu, Z. L. Yu, F. Qi, Y. Li，“Deep learning based on Batch Normalization for P300 signal detection”, Neurocomputing，DOI: 10.1016/j.neucom.2017.08.039 （PDF）
14. J. Wang, Z. Gu, Z. Yu and Y. Li，“An online semi-supervised P300 speller based on extreme learning machine”, Neurocomputing, https://doi.org/10.1016/j.neucom.2016.12.098（PDF）
15. Y. Qin, Z. L. Yu (*), C.-D. Wang, Z. Gu and Y. Li, “A Novel Clustering Method based on Hybrid K-Nearest-Neighbor Graph”, Pattern Recognition, https://doi.org/10.1016/j.patcog.2017.09.008
16. R. Zhang,Q. Wang, K. Li, S. He, S. Qin, Z. Feng,Y. Chen, P. Song, T. Yang, Y. Zhang, Z. L. Yu, Y. Hu, M. Shao,Y. Li, “A BCI-Based Environmental Control System for Patients With Severe Spinal Cord Injuries”, IEEE Trans. Biomedical Engineering, vol. 64, no. 8, pp 1959-1971, Aug. 2017 (PDF)
17. Z. Zhang, Y. Lin, S. Li, Y. Li, Z. L. Yu and Y. Luo, “Tri-Criteria Optimization-Coordination-Motion of Dual Redundant Robot Manipulators for Complex Path Planning”, IEEE Trans. Control Syst. Tech., 2017, DOI: 10.1109/TCST.2017.2709276
18. X. Lin, Z. L. Yu, Z. Gu, J. Zhang and Z. Cai, "Batch Image Alignment via Subspace Recovery Based on Alternative Sparsity Pursuit", Computational Visual Media，Vol. 3, No. 3, September 2017, pp295–304，DOI 10.1007/s41095-017-0080-x。 （PDF）
19. Yuanqing Li,Shenghong He,Qiyun Huang,Zhenghui Gu and Z. L. Yu,"A EOG-based switch and its application for "start/stop" control of a wheelchair", Neurocomputing, 2017
20. J. Huang, Z.L. Yu (*), “A Clustering Method based on Extreme Learning Machine”, Neurocomputing, https://doi.org/10.1016/j.neucom.2017.02.100 （PDF）
21. Z. Zhang, L. Zheng, J. Yu, Y. Li and Z. L. Yu, “Three Recurrent Neural Networks and Three Numerical Methods for Solving Repetitive Motion Planning Scheme of Redundant Robot Manipulators”, IEEE Trans. Mechatronics, vol. 22, no. 3, 2017, pp1423-1434
22. W. Cen, R. Hoppe, Z. Cai, Z.L. Yu and N. Gu, “Accurate 3D multi-material EM-thermal modelling”, AIP Advances, 7, 025214 (2017); doi: 10.1063/1.4977742 （PDF）
23. J. Huang, Z. L. Yu (*), Z. Cai, W. Gao, Q. Du, Z. Cai1 and Z. Gu, “Extreme Learning Machine with Local Receptive Fields for Texture Classfication”, Multidimensional System and Signal Processing，Vol. 28, pp995–1011, 2017, DOI 10.1007/s11045-016-0414-3 (PDF)
24. X. Xie, Z. L. Yu (*), H. Lv, Z. Gu, Y. Li, “"Motor Imagery Classification based on Bilinear Sub-Manifold Learning of Symmetric Positive-Definite Matrices", IEEE Trans. Neural Systems & Rehabilitation Engineering，Vol. 25, No. 6, June 2017, DOI 10.1109/TNSRE.2016.2587939. (PDF)
25. K. Liu, Z. L. Yu (*), W. Wu, Z. Gu, Y. Li, S. Nagarajan, “Bayesian Electromagnetic Spatio-Temporal Imaging of Extended Sources with Markov Random Field and Temporal Basis Expansion”, NeuroImage，vol 139， pp385-404， Jun 2016. (一区Top，SCI IF=6.797) (PDF)
26. Y. Li, J. Pan, J. Long, T. Yu, F. Wang, Z.L. Yu and W. Wu, “Multimodal BCIs: Target Detection, Multidimensional Control, and Awareness Evaluation in Patients With Disorder of Consciousness”, Proc. of IEEE, vol. 104, no. 2, pp332-352, Feb. 2016. (PDF)
27. T. Yu, Z. Yu, Z. Gu, Y. Li, “Grouped automatic relevance determination and its application in channel selection for P300 BCIs”, IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 23, no. 6, pp1068-1076, 2015. (PDF)
28. Ke Liu, Z. L. Yu (*), Wei Wu, Zhenghui Gu, Yuanqing Li，“STRAPS: A Fully Data-Driven Spatio-Temporally Regularized Algorithm for M/EEG Patch Source Imaging”， International Journal of Neural Systems, Vol. 25, No. 4 (2015) 1550016 (21 pages) （A类，一区，SCI IF=6.056）（PDF）
29. B. Feng, Z. L. Yu (*), Z. Gu and Y. Li, “Analysis of fMRI Data based on Sparsity of Source Components in Signal Dictionary”, Neurocomputing, vol. 156, pp. 86–95, 2015 (PDF) (SCI, IF=2.02)
30. J. Zhang. Z. Gu, Z. L. Yu, Y. Li, “Energy-Efficient ECG Compression on Wireless Biosensors via Minimal Coherence Sensing and Weighted ℓ1 Minimization Reconstruction”, IEEE Journal of Biomedical and Health Informatics, VOL. 19, NO. 2, pp 520-528, MARCH 2015. (SCI) (PDF)
31. Z. L. Yu, B. Feng, Z. Gu, Z. Xue, Y. Li and C. Wang, “Voxel Selection and Neural Decoding of fMRI Data Based on Robust Sparse Programming with Multi-dimensional Derivative Constraints”, Multidimensional System and Signal Processing, vol 26, pp 225-241, Jan. 2015 (C类，SCI IF= 1.578) (PDF)
32. Z. Cai, Z. Gu,Z. L. Yu (*), H. Liu and K. Zhang, “A Real-time Object Tracking System based on Kalman Filter and MB-LBP Feature Matching”, Multimedia Tools and Applications, vol. 75, no. 4, pp 2393–2409, Feb, 2016. (SCI) (PDF)
33. Y. Li, Z. L. Yu, N. Bi, Y. Xu, Z. Gu, and S. Amari, "Sparse Representation for Brain Signal Processing: A tutorial on methods and applications," IEEE Signal Processing Magazine, vol. 31, pp. 96-106, 2014. (SCI) (PDF)
34. Zhang, J.; Li, Y.; Gu, Z.; Yu, Z. L., “Recoverability Analysis for Modified Compressive Sensing with Partially Known Support”, PLos One, 9(2), 2014/2/10. (SCI) (PDF)
35. J. Pan, Y. Li , Z. Gu, Z. L. Yu, “A comparison study of two P300 speller paradigms for brain--computer interface”, Cognitive neurodynamics，vol. 7, no. 6, pp 523-529, 2013 (SCI IF=1.742) (PDF)
36. Y. Li, J. Pan, F. Wang, Z. L. Yu, “A Hybrid BCI System Combining P300 and SSVEP and its Application to Wheelchair Control.”, IEEE Trans. Biomedical Engineering, vol. 60, no. 11, pp 3156-3166, Sept. 2013 (A类，SCI IF=2.49，长文) (PDF)
37. Z. Gu, Z. L. Yu（*）, Z. Shen and Y. Li, “An Online Semi-Supervised Brain-Computer Interfaces”, IEEE Trans. Biomedical Engineering, vol. 60, no. 9, pp 2614-2623, Sept. 2013 (A类，SCI IF=2.49，长文) (PDF)
38. Z. L. Yu, W. Zhou, Z. Gu, Y. Yang and G. N. Liu，“An Efficient Implementation of Modified Regularized Sparse Recovery for Real-time Optical Power Monitoring”, IEEE Journal of Lightwave Technology， Vol. 30, No. 17,p 2863-2869, Sept. 2012 (A类，SCI IF=2.563) （PDF）
39. J. Zhang, Z. L. Yu(*), Y. Li, N. Liu and Z. Gu, “Weighted Regularized Sparse Recovery Method for Optical Power Monitoring”, IEEE Photonics Technology Letters, Vol. 24, No. 1, pp 55-57, Jan. 2012. (A类，SCI IF=2.02) (PDF)
40. L. Cen, Z. L. Yu (*), W. Ser, W. Cen, “Linear Aperiodic Array Synthesis Using An Improved Genetic Algorithm”, IEEE Trans. Antennas. Propagations，vol. 60, no. 2, pp, 895-902, Feb. 2012 . (A类，SCI IF=2.479) （PDF）
41. L. He，Z. L. Yu, Z. Gu and Y. Li, “Long-Tail Distribution Based Multiscale-Multiband Autoregressive Detection for Hypersepctral Imagery”, Multidimensional System and Signal Processing, Vol. 24, no. 1, pp 65-85, 2013 (C类，SCI IF=0.822) (PDF)
42. Z. L. Yu, N. Liu, R. Zhou, Z. Gu and Y. Li, “A Template Matching Method for Optical Power Monitoring”, IEEE Photonics Technology Letters， vol. 23, no. 19, pp. 1388 - 1390, 2011. (A类，SCI IF=2.02) (PDF)
43. Y. Li, G. Wang, J. Long, Z. L. Yu, B. Huang, X. Li, T. Yu, C. Liang, Z. Li¬, P. Sun, “Reproducibility and Discriminability of Brain Patterns of Semantic Categories Enhanced by Congruent Audiovisual Stimuli”, PLoS ONE, vol. 6, no. 6, pp 1-14, 2011 (SCI IF=4.411) (PDF)
44. L. He， Z. Gu, Y. Li and Z. L. Yu, “Classifying Motor Imagery EEG Signals by Iterative Channel Elimination According to Compound Weight”, Artificial Intelligence and Computational Intelligence, pp 71-78, Oct. 2010 (SCI)
45. J. Zhang, Y. Li, Z. L. Yu and Z. Gu, "Noisy Sparse Recovery Based on Parameterized Quadratic Programming by Thresholding," EURASIP Journal on Advances in Signal Processing, vol. 2011, 2011, Article ID 528734, 7 pages, doi:10.1155/2011/528734 (C类，SCI IF= 0.89) (PDF)
46. Zhang, J.; Li, Y.; Gu, Z.; Yu, Z. L., “Effect of errors in partially known support on the recoverability of modified compressive sensing”, Eurasip Journal on Advances in Signal Processing, 2012(1), 2012. (PDF)
47. S. E. Nai, W. Ser, Z. L. Yu, H. Chen, “Iterative Robust Minimum Variance Beamforming," IEEE Trans. Signal Processing, vol. 59, no 4, pp. 1601-1611, April 2011. (A类，SCI IF=2.335,长文) (PDF)
48. Z. L. Yu, Z. Gu, J. Zhou, Y. Li, W. Ser, and M. H. Er, “Robust adaptive beamformer based on worst-case semidefinite programming,” IEEE Trans. Signal Processing, vol. 58, no. 11, pp. 5914-5919, Nov. 2010. （A类，SCI IF=2.335）（PDF）
49. Y. Li, J. Long, T. Yu, Z. L. Yu, C. Wang, H. Zhang and C. Guan, “An EEG-based BCI System for Asynchronous 2-D Cursor Control by Combining Mu/Beta Rhythm and P300 Potential,” IEEE Trans. Biomedical Engineering, vol. 57, no. 10, pp 2495-2505, Oct. 2010 (A类，SCI IF=2.49，长文) (PDF)
50. S. E. Nai, W. Ser, Z. L. Yu, H. Chen, and S. Rahadja, “Beampattern synthesis for linear and planar arrays with antenna selection by convex optimization," IEEE Trans. Antennas. Propagations, vol. 58, no. 12, pp. 3923-3930, Dec. 2010. (A类，SCI IF=2.479，长文) (PDF)
51. J. Long, Y. Li, Z. L. Yu, “A Semi-supervised Support Vector Machine Approach for Parameter Setting in Motor Imagery-based Brain Computer Interfaces,” Cognitive Neurodynamics, vol. 4, pp. 1871-4080, 2010. (C类，SCI IF=2.263)（PDF）（PDF）
52. Z. L. Yu, G. N. Liu, S. Qiu, Y. Wei, S. Shen, and Q. Xiong, “Regularized sparse recovery for optical power monitoring with low cost tunable optical filters," IEEE Photonics Technology Letters, vol. 22, no. 10, pp. 697-699，May, 2010 (A类，SCI IF=2.02) （PDF）
53. L. Cen, W. Ser, Z. L. Yu, and W. Cen, “Linear sparse array synthesis with minimum number of sensors,” IEEE Trans. Antennas. Propagations, vol. 58, no. 3, pp. 720-726, March 2010. (A类，SCI IF=2.479，长文)(PDF)
54. S. E. Nai, W. Ser, Z. L. Yu and S. Rahadja, "Beampattern synthesis with linear matrix inequalities using minimum array sensors," Progress in Electromagnetics Research M, vol. 9, pp. 165-171 , 2009 (A类，SCI IF=4.735) (PDF)
55. Z. L. Yu, Z. Gu, W. Ser, M. H. Er, and Y. Li, ``Robust microphone array with flexibly controlled mainlobe and response ripple,'' Journal of Signal Processing Systems, vol. 63, No. 3, pp. 301-313, April. 2011. DOI: 10.1007/s11265-009-0424-6. (C类，SCI IF=0.779)(PDF)
56. Y. Li, P. Nambur, Z. L. Yu, C. Guan, J. Feng, and Z. Gu, “Voxel selection in fMRI data analysis based on sparse representation,” IEEE Trans. Biomedical Engineering, vol. 56, no. 10, pp. 2439-2451, Oct. 2009. (A类，SCI IF=2.49，长文)(PDF)
57. S. E. Nai, W. Ser, and Z. L. Yu, “A robust adaptive beamforming framework with beampattern shaping constraints,” IEEE Trans. Antennas. Propagations, vol. 57, no. 7, pp. 2198–2203, July 2009. (A类，SCI IF=2.479)(PDF)h
58. Z. L. Yu, W. Ser, M. H. Er, Z. Gu, and Y. Li, “Robust adaptive beamformers based on worst-case optimization and constraints on magnitude response,” IEEE Trans. Signal Processing, vol. 57, no. 7, pp. 2615--2628, July, 2009. （A类，SCI IF=2.335，长文）(PDF)
59. Z. L. Yu, M. H. Er, and W. Ser, “Novel adaptive beamformer based on semidefinite programming (SDP) with constraints on magnitude response,” IEEE Trans. Antennas Propagat., vol. 56, no. 5, pp. 1297–1307, May 2008. (A类，SCI IF=2.479，长文)(PDF)
60. Z. L. Yu, M. H. Er, W. Ser, and Z. Gu, “Spectral factorization for integer-interval sampled sequence with applications in array processing,” Signal Process., vol. 88, no. 7, pp. 1715–1724, July 2008, http://dx.doi.org/10.1016/j.sigpro.2008.01.010. (C类，SCI IF=1.256)(PDF)
61. Z. L. Yu, W. Ser, and M. H. Er, “Robust response control for adaptive beamformers against arbitrary array imperfections,” Signal Process., vol. 88, no. 9, pp. 2234–2245, Sept. 2008, http://dx.doi.org/10.1016/j.sigpro.2008.03.009. (C类，SCI IF=1.256)(PDF)
62. W. Ser, H. Chen, and Z. L. Yu, “Self-calibration based robust nearfield adaptive beamforming for microphone arrays,” IEEE Trans. Circuit and Systems II, vol. 54, no. 3, pp. 267–271, March 2007. (B类，SCIIF=1.436, EIP071610553794)(PDF)
63. H. Chen, W. Ser, and Z. L. Yu, “Optimal design of nearfield wideband beamformers robust against errors in microphone array characteristics,” IEEE Trans. Circuits and Systems I, vol. 54, no. 9, pp. 1950–1959, Sept. 2007. (B类，SCI IF=2.043，长文)(PDF)
64. Z. L. Yu and M. H. Er, “A robust Capon beamformer against uncertainty of nominal steering vector,” EURASIP Journal on Applied Signal Processing, vol. 2006, pp. 1–8, Jan. 2006. (C类，SCI IF=1.055, EIP06159821083)(PDF)
65. Z. L. Yu and M. H. Er, “A robust minimum variance beamformer with new constraint on uncertainty of steering vector,” Signal Processing, vol. 86, no. 9, pp. 2243–2254, Sept. 2006, http://dx.doi.org/10.1016/j.sigpro.2005.10.005. (C类，SCI IF=1.256, EIP06289999131)(PDF)
66. Z. L. Yu and M. H. Er, “An improved array steering vector estimation method and its application in speech enhancement,” EURASIP Journal on Applied Signal Processing, vol. 2005, no. 18, pp. 2930–2937, Jan. 2005. (C类，SCI IF=1.055, EIP06481026801)(PDF)
67. Z. L. Yu and M. H. Er, “Robust subspace analysis and its application in microphone array for speech enhancement,” IEICE Trans. Fundamentals., vol. E88-A, no. 7, pp. 1708–1715, July 2005. (C类，SCI IF=0.437, EIP05419412266)(PDF)
68. Q. Zou, Z. L. Yu, and Z. Lin, “A robust algorithm for linearly constrained adaptive beamforming,” IEEE Signal Processing Letters, vol. 11, no. 1, pp. 26–29, Jan 2004. (B类，SCI IF=1.203, EIP04047829136)(PDF)
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