葉文彬
yewenbin@szu.edu.cn (+86) 15019415279
教育背景:
新加坡南洋理工大學, 新加坡，博士研究生，電路與系統(tǒng) 2009 .08–2014.07
四川大學, 四川, 成都，學士，微電子學 2005.09–2009.06
工作經歷:
深圳大學，副教授 2015.7–至今
研究方向：
?數字 FIR 濾波器設計與VLSI硬件實現；
?低功耗低復雜度的人工智能芯片設計與優(yōu)化
?基于深度神經網絡的雷達人體活動識別以及相應的硬件實現
南洋理工大學博士后2014.7–2015.7
?非均勻采樣信號的處理, 主要負責基于非均勻采樣信號的系統(tǒng)設計和優(yōu)化
近幾年主持的科研項目
? 深圳市孔雀人才創(chuàng)新創(chuàng)業(yè)項目，批準號：KQJSCX20180328093500762。2018.03-2021.03，80萬元，低功耗的數字有限沖擊響應濾波芯片研制
? 國家自然科學基金項目，批準號：61601301，2016.01-2019.12，20萬元，基于子項共享技術的低功耗FIR濾波器設計與實現研究
? 廣東省教育廳青年計劃項目，批準號：2015KQNCX142，2016.01-2016.12，5萬元，低功耗FIR濾波器設計
? 深圳市基礎研究項目，批準號：JCYJ20160308094919279，2016.06-2018.06，29萬元，基于子項共享技術的低功耗FIR濾波器設計理論與方法研究
? 深圳大學啟動項目，批準號：2016020，2016.06-2018.06，6萬元，基于全加器級的低復雜度數字FIR濾波器設計研究
? 深圳大學高端人才經費，2017.01-2019.12，300萬元，低功耗數字FIR濾波器設計與集成電路實現
代表論文
?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 Bin，H. 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., Pan，Ye 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 Bin，Yu, Ya Jun，Two-step optimization approach for the design of multiplierless linear-phase FIR filters，IEEE Transactions on Circuits and Systems I: Regular Papers，2015，62（5）：1279-1287.
?Ye Wen Bin，Yu, Ya Jun，Bit-level multiplierless FIR filter optimization incorporating sparse filter tech-nique，IEEE Transactions on C ircuits and Systems I: Regular Papers，2014，61（11）：3206-3215.
?Ye Wen Bin，Ya Jun Yu，Greedy Algorithm for the Design of Linear-Phase FIR Filters with Sparse Co-efficients，Circuits, Systems, and Signal Processing, 2016.
?Ye Wen Bin，Yu, Ya Jun，Single-Stage and Cascade Design of High Order Multiplierless Linear Phase FIR Filters Using Genetic Algorithm，IEEE Transactions on Circuits and Systems I-Regular Papers，2013，60（11）：2987-2997.
?Ye Wen Bin，Yu, Ya Jun，An efficient FIR filtering technique for processing non-uniformly sampled signal，IEEE International Conference on Digital Signal Processing, DSP 2015，182-185.
?Ye Wen Bin，Lou, Xin，Yu, Ya Jun，Design of high-speed multiplierless linear-phase FIR filters，IEEE International Symposium on Circuits and Systems, ISCAS 2015，2964-2967.
