叶文彬

yewenbin@szu.edu.cn ·      (+86) 15019415279 ·

 

教育背景


新加坡南洋理工大学, 新加坡,博士研究生,电路与系统     2009 .08 2014.07


四川大学, 四川, 成都,学士,微电子学                  2005.09 2009.06


工作经历


深圳大学,副教授  2015.7 至今

研究方向为:

     •数字 FIR 滤波器设计与VLSI硬件实现;

     •低功耗低复杂度的人工智能芯片设计与优化

     •基于深度神经网络的雷达人体活动识别以及相应的硬件实现


南洋理工大学博士后 2014.7 2015.7                                                                       

     •非均匀采样信号的处理, 主要负责基于非均匀采样信号的系统设计和优化


近几年主持的科研项目


  深圳市孔雀人才创新创业项目,批准号:KQJSCX201803280935007622018.03-2021.0380万元,低功耗的数字有限冲击响应滤波芯片研制

  国家自然科学基金项目,批准号:616013012016.01-2019.1220 万元,基于子项共享技术的低功耗 FIR 滤波器设计与实现研究

  广东省教育厅青年计划项目,批准号:2015KQNCX1422016.01-2016.125 万元,低功耗 FIR 滤波器设计

  深圳市基础研究项目,批准号:JCYJ201603080949192792016.06-2018.0629 万元,基于子项共享技术的低功耗 FIR 滤波器设计理论与方法研究

  深圳大学启动项目,批准号:20160202016.06-2018.066 万元,基于全加器级的低复杂度数字 FIR 滤波器设计研究

  深圳大学高端人才经费,2017.01-2019.12300 万元,低功耗数字 FIR 滤波器设计与集成电路实现


代表论文



Ye Wen Bin *, H. Chen, Human Activity Classification Based on Micro-Doppler Signatures by Multiscale and Multitask Fourier Convolutional Neural Network, IEEE Sensors Journal ,2020,20 (10), 5473-5479

J Zhu, H Chen, Ye Wen Bin *, A Hybrid CNN–LSTM Network for the Classification of Human Activities Based on Micro-Doppler Radar, IEEE Access,2020, 8, 24713-24720

W Chen, M Huang, Ye Wen Bin *, X Lou, Cascaded Form Sparse FIR Filter Design, IEEE Transactions on Circuits and Systems I: Regular Papers 67 (5), 1692-1703

H. Chen, Ye Wen Bin *,“Classification of Human Activity based on Radar signal Using One Dimensional Convolutional Neural Network, IEEE GeoScience and Remote Sensing Letters, 2019, vol 17, pp. 1-10

Ye Wen BinH. Chen, B. Li, Using an End-to-End Convolutional network On Radar Signal for human Activity Classification, IEEE Sensors Journal, 2019, Vol 19(24) pp. 12244-12245.

X. Zeng, Y. Luo, X. Zhao, Ye Wen Bin *, An end-to-end fully convolutional neural network for division of focal plane sensors to reconstruct S0, DoLP and AoP, Optics express, 2019, 27(6),8566-8577.

Ye Wen Bin S. Li, X. J. Zhao, A. Abubakar, A. Bermak, A K times singular value decomposition based image denoising algorithm for DoFP polarization image sensors with Gaussian noise, IEEE Sensors Journal, 2018, Vol 18(15) pp. 6138-6144.

P. Peng, X. J. Zhao, X. F., PanYe Wen Bin*, Gas Classification Using Deep Convolutional Neural Net-works,Sensors, 2018, pp. 1-11

X. Lou,P.Meher, Y. Yu, Ye Wen Bin *, ”Novel Structure for Area-Efficient Implementation of FIR Filter,” IEEE Transactions on Circuits and Systems II: Express Briefs , 2016, vol.PP, no.99, pp.1-1

Ye Wen BinYu, Ya JunTwo-step optimization approach for the design of multiplierless linear-phase FIR filtersIEEE Transactions on Circuits and Systems I: Regular Papers2015625):1279-1287

Ye Wen BinYu, Ya JunBit-level multiplierless FIR filter optimization incorporating sparse filter tech-niqueIEEE Transactions on Circuits and Systems I: Regular Papers20146111):3206-3215

Ye Wen BinYa Jun YuGreedy Algorithm for the Design of Linear-Phase FIR Filters with Sparse Co-efficientsCircuits, Systems, and Signal Processing, 2016

Ye Wen BinYu, Ya JunSingle-Stage and Cascade Design of High Order Multiplierless Linear Phase FIR Filters Using Genetic AlgorithmIEEE Transactions on Circuits and Systems I-Regular Papers20136011):2987-2997

Ye Wen BinYu, Ya JunAn efficient FIR filtering technique for processing non-uniformly sampled signalIEEE International Conference on Digital Signal Processing, DSP 2015182-185

Ye Wen BinLou, XinYu, Ya JunDesign of high-speed multiplierless linear-phase FIR filtersIEEE International Symposium on Circuits and Systems, ISCAS 20152964-2967