基本信息
生年籍贯：男，1987年10月生，江苏丰县
职称职务：博士、博士后、重庆大学“百人计划”学者、特聘研究员、博士生导师
研究领域：电子科学与技术、信息与通信工程
拟招收博士研究生专业及研究方向：电路与系统（080902）
方向1：智能信息处理与模式识别
方向2：机器学习与计算视觉
方向3：深度学习与图像识别
拟招收硕士研究生专业及研究方向：信号与信息处理（081002）
方向1：图像信息处理与识别
方向2：生物信号感知与识别
方向3：深度学习与大数据建模
欢迎对来自电子、计算机、通信、软件和数学等相关专业以及对科研有浓厚兴趣和热情的考生报考。团队将对表现优异的博士和硕士研究生，每月提供学习和研究期间额外生活补助，对特别优秀者可推荐并提供去新加坡、加拿大、香港等国家和地区进行短期学术交流、访学和联合培养的机会。如有对研究方向的疑惑和问题，请随时与我Email联系。
个人简介
张磊，博士，博士后，重庆大学“百人计划”学者，特聘研究员，博士生导师，重庆市“生物感知与智能信息处理”重点实验室学者，IEEE成员，IEEE CIS计算智能重庆分会成员，CCF学会成员；国家“香江学者计划”入选者，曾获得国际学术期刊Sensor Review“杰出评审人奖”，重庆市“优秀博士论文奖”，教育部“博士学术新人奖”，香港“香江学者奖”，重庆大学“黄尚廉院士青年创新奖”。2013年6月毕业于重庆大学通信工程学院，获电路与系统专业工学博士学位，同年8月入选国家“香江学者计划”人才项目，同年7月至9月，为清华大学和哈尔滨工业大学深圳研究院助理研究员，2013年10月至2015年9月任香港理工大学电子计算学系博士后研究员，从事计算机视觉和机器学习方面的研究。目前，与加拿大、新加坡、香港等国家和地区的高校保持良好的学术交流与合作关系。
近年来，一直从事智能信息处理、机器学习理论与算法、深度学习、计算机视觉、图像/视频理解、模式识别、智能感知与计算（视觉、嗅觉、味觉）、智能系统方面的理论与应用研究。作为项目负责人，主持国家自然科学基金、香江学者计划人才项目、重庆大学百人计划项目、中国电子科技集团军工项目、中国博士后科学基金、教育部博士学术新人奖基金、中央高校科研项目等10项；重点参与国家自然科学基金、重庆市重大专项、重庆市自然科学基金等科研项目6项；发表学术论文60余篇。其中，以第一作者和通讯作者身份先后在国际神经网络与机器学习顶刊IEEE Trans. Neural Network and Learning Systems (IF: 6.108),国际图像处理顶刊IEEE Trans. Image Processing (IF: 4.828),国际多媒体顶刊IEEE Trans. Multimedia (3.509),国际仪器科学顶刊IEEE Trans. Instrumentation & Measurement (IF: 2.456),国际系统与控制期刊IEEE Trans. Systems, Man, and Cybernetics: Systems (IF: 2.35),智能信息处理系列顶刊Information Fusion (IF: 5.667), Information Sciences (IF: 4.832), Neurocomputing (IF: 3.317), Expert Systems with Applications (IF: 3.928)，Cognitive Computation (IF: 3.441)以及传感器系统顶刊IEEESensor Journal (IF: 2.512), Sensors & Actuators B: Chemical (IF: 5.401), Analytica Chimica Acta (IF: 4.95)等20个国际顶级学术期刊录用和发表SCI期刊论文39篇(累计影响因子140)，EI收录50余篇；其中JCR 1区论文23篇，JCR 2区论文12篇，JCR 3区论文2篇，获ESI高被引论文和热点论文1篇。申请国家发明专利13项；以第一作者发表的论文“A novel sensor selection using pattern recognition in electronic nose”和“Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems”分别入选Measurement期刊和IEEE Transactions on Instrumentation and Measurement期刊的Most popular paper。以第一作者发表的“LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation”入选ESI高被引论文（前1%）和热点论文（前0.1%）。
目前担任World Research Journal of Bioinformatics国际学术期刊的主编，Journal of Electrical and Computer Engineering客座主编，曾被邀担任IEEE ICONIP2017, FSDM2017, ITA2017, IEEE ICCT2017, IEEE TENCON2016, IEEE SSCI2016, IEEE IS3C2016, ELM2016, CNCT2016, ITA2016, WCNT2016, EEA2016, SSIT2016, MECS2016, WCSN2016, CSTE2016, ELM2015, CSA2015,SEIA2015, IEEE CIEL2015, ELM2014等20个国际学术会议的最佳论文奖评审主席、地区主席、荣誉主席、分会主席、特邀讲者和TPC技术委员，同时还担任IEEE T-IP, IEEE T-CYB, IEEE T-CSVT, IEEE T-MM, IEEE T-IE, IEEE T-IM, IEEE T-SMCA, IEEE Sensors Journal, IEEE GRSL, Pattern Recognition, Information Fusion, Information Sciences, Neural Networks, Neurocomputing, Multidimensional Systems & Signal Processing, Sensors&Actuators B, Sensors&Actuators A, Sensors等50多个国际学术期刊的审稿专家，以及American University of Beirut(AUB,贝鲁特美国大学)研究项目通讯评审专家。
主要获奖和学术荣誉有：2016年ELM国际会议最佳论文奖评审主席、2016年度英国爱墨瑞得Sensor Review国际期刊最佳杰出评审奖、2015年重庆市优秀博士论文奖、2014年重庆大学优秀博士论文奖、2014年度“香江学者奖”、2013年入选国家“香江学者计划”、2013年度重庆大学“黄尚廉院士青年创新奖”、2013年度重庆大学科技学术创新标兵、2012年度国家教育部“博士学术新人奖”、2012年度首批博士研究生国家奖、2011-2013年度重庆大学高水平学术期刊论文奖获得者等；同时，2013年6月被中国教育报公开刊登为重庆大学博士“学术达人”。
科研项目
（1）国家自然科学基金-青年基金项目，“仿生嗅觉感知中气味指纹图谱表达、重建与预测”（主持）
（2）重庆大学百人计划科研启动基金项目（主持）
（3）中国电子科技集团第十四研究所，“基于机器学习的…识别”（主持，军工项目）
（4）中央高校交叉研究项目，“机器智能与跨领域图像识别”（主持）
（5）中国博士后科学基金一等资助，“基于机器学习和计算机视觉的…”（主持）
（6）国家香江学者计划人才资助项目（主持）
（7）教育部博士学术新人奖资助（主持）
（8）国家自然科学基金-青年基金项目，“基于“漂移图谱”的人工嗅觉系统在线“定性-定量”漂移抑制方法研究”（主研）
（9）重庆市自然科学基金项目，“人工嗅觉系统长期漂移成因及对策的研究”（主研）
（10）重庆市信息制造业重大专项，“面向环境空气监测与净化的低成本研发及产业化”（参研）
（11）中央高校科技创新基金项目，“基于电子鼻的便携式空气质量实时监测系统”（主研）
主要科研论文情况
2017年发表论文情况
[50]Lei Zhang*, Yan Liu, and Pingling Deng, “Odor Recognition in Multiple E-nose Systems with Cross-domain Discriminative Subspace Learning,”IEEE Transactions on Instrumentation and Measurement(T-IM), vol. 66, no. 7,
pp. 1679-1692, July 2017. [IF: 2.456, Q1]
[49]Lei Zhang*and Pingling Deng,“Abnormal OdorDetectionin Electronic Nosevia Self-expressionInspiredExtreme Learning Machine,”IEEE Transactions on Systems, Man, and Cybernetics: Systems
(TSMCA), 2017.Accept.[IF:2.35, Q2]
[48]Lei Zhang*and David Zhang, “Evolutionary Cost-sensitive Discriminative Subspace Learning with application to Vision and Olfaction,”IEEE Transactions onInstrumentation and Measurement(T-IM),vol. 66, no. 2,
pp. 198-211, Feb2017.[IF:2.456, Q1]
[47]Lei Zhang*, David Zhang, Mingming Sun, and Fangmei Chen,“Facial Beauty Analysis based on Geometric Feature: Toward Attractiveness Assessment Application,”Expert Systems with Applications, vol. 82, pp. 252-265,
Oct 2017. [IF: 3.928, Q1].
[46]Xichuan Zhou, Fan Yang, Yujie Feng, Qin Li, Fang Tang, Shengdong Hu, Zhi Lin,Lei Zhang*,“A Spatial-Temporal Method to Detect Global Influenza Epidemics Using Heterogeneous Data Collected from the Internet,”
IEEE/ACM Transactions on Computational Biology and Bioinformatics(TCBB), 2017. Accept. [IF: 1.609, Q2]
[45]Yan Liu,Lei Zhang*, Pingling Deng, and Zheng He,“Common Subspace Learning via Cross-domain Extreme Learning Machine,”Cognitive Computation, 2017. Accept. (IF: 3.441, Q1)
[44]Tan Guo,Lei Zhang*, and Xiaoheng Tan,“Neuron Pruning based Discriminative Extreme Learning Machine for Pattern Classification,”Cognitive Computation, 2017. Accept. (IF: 3.441, Q1)
[43]Lei Zhang*, Zhenwei He, and Yan Liu,“Deep Object Recognition Across Domains based on Adaptive Extreme Learning Machine,”Neurocomputing, vol. 239C, pp. 194-203, 2017.[IF:3.317, Q1]
[42]Lei Zhang*, Yan Liu,“Anti-Drift in E-nose: A Subspace Projection Approach with DriftReduction,”Sensors and Actuators B: Chemical, to appear, 2017. [IF: 5.401, Q1]
[41]Tan Guo, Xiaoheng Tan,Lei Zhang*,“Block-diagonal constrained Low-Rank and Sparse Graph for Discriminant Analysis of Image Data,”Sensors, to appear, 2017. [IF: 2.677, Q2]
[40]Xichuan Zhou, Shengli Li, Fang Tang, Shengdong Hu, Zhi Lin, andLei Zhang,“DANoC: An Efficient Algorithm and Hardware Co-design of Deep Neural Networks on Chip,”IEEE Transactions on Neural Networks and Learning
Systems(TNNLS), in press, 2017. [IF: 6.108, Q1]
2016年发表论文情况
[39]Lei Zhang*, Wangmeng Zuo, David Zhang,“LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation,”IEEE Transactions on Image Processing(T-IP), vol. 25, no. 3,
pp. 1177-1191, March 2016.[IF:4.828, Q1][38]Lei Zhang*, David Zhang, “Evolutionary Cost-sensitive Extreme Learning Machine,”IEEE Transactions onNeural Network and Learning
Systems(TNNLS),2017.Accept.[IF:6.108, Q1]
[37]Lei Zhang*, Sunil Kr. Jha, and Tao Liu,“Discriminative Kernel Transfer Learning vial2,1-Norm Minimization,”IEEE World Congress on Computational Intelligence, pp. 2220-2227,
Vancouver, Canada, July 24-29, 2016.
[36]Lei Zhang*, David Zhang,“Visual Understanding via Multi-Feature Shared Learning with Global Consistency,”IEEE TransactionsonMultimedia(T-MM),vol. 18, no. 2, pp. 247-259,
Feb2016. [IF:3.509, Q1]
[35]Lei Zhang*, David Zhang,“Efficient Solutions for Discreteness, Drift, Disturbance (3D) in Electronic Olfaction”IEEE Transactions on Systems, Man, Cybernetics: Systems
(TSMCA).2016. Accept.[IF:2.35, Q2]
[34]Lei Zhang*, David Zhang,“Robust Visual Knowledge Transfer via Extreme Learning Machine based Domain Adaptation,”IEEE Transactions on Image Processing(T-IP), vol. 25, no. 10,
pp. 4959-4973, Oct 2016.[IF:4.828, Q1]
[33]Lei Zhang*, David Zhang, Xin Yin and Yan Liu,“A Novel Semi-supervised Learning Approach in Artificial Olfaction for E-Nose Application,”IEEE Sensors Journal, vol. 16, no. 12,
pp. 4919-4931, June 2016. [IF: 2.512, Q2]
[32]Lei Zhang*, David Zhang,“MetricFusion: Generalized Metric Swarm Learning for Similarity Measure,”Information Fusion,vol. 30, pp. 80-90, July2016.[IF:5.667, Q1]
[31] Zehui Zhan,Lei Zhang*, Hu Mei, and Patrick S.W. Fong,“Online Learners’Reading Ability Detection based on Eye-tracking Sensors,”Sensors, vol. 16, no. 9, pp. 1457-1473, Dec 2016.
[IF: 2.677 Q2]
[30] Xin Yin,Lei Zhang*, Fengchun Tian, David Zhang,“Temperature Modulated Gas Sensing E-nose System for Low-cost and Fast Detection,”IEEESensors Journal,vol. 16, no. 2,
pp. 464-464, Jan2016. [IF:2.512, Q2]
[29] Yan Liu andLei Zhang*,“Shared Subspace Learning via Cross-domain Extreme Learning Machine,”ELM, Dec 13-15, 2016. Singapore.
[28] Tan Guo, Xiaoheng Tan, andLei Zhang,“Discriminative Extreme Learning Machine for Face Recognition,”ELM, Dec 13-15, 2016. Singapore.
[27] Pingling Deng andLei Zhang*,“Olfactory Target/Background Odor Detection via Self-expression Model,”IEEE Symposium Series on Computational Intelligence (SSCI), Dec 6-9,
2016, pp. 1-6,Athens, Greece.
[26]Lei Zhang* and Yan Liu,“Domain Regularized Transfer Component Analysis,”IEEE TENCON, Nov 22-25, 2016. Singapore.pp. 3140-3143.
[25] Fengchun Tian, Zhifang Liang,Lei Zhang*,“A novel pattern mismatch based interference elimination technique in E-nose,”Sensors and Actuators B: Chemical, vol. 234, pp. 703-712,
Oct 2016. [IF: 5.401, Q1]
2015年发表论文情况
[24]Lei Zhang*, David Zhang, “Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems,”IEEE Transactions on Instrumentation & Measurement,vol. 64, no. 7, pp. 1790-1801, July
2015. [IF:2.456, Q1]
[23]Lei Zhang*, Xiongwei Peng, Fengchun Tian, David Zhang,“Time series estimation of gas sensor baseline drift using ARMA and Kalman based models,”Sensor Review, vol. 36, no. 1, pp.34-39, Aug
2016.[IF: 1.277, Q3].
[22]Xiongwei Peng,Lei Zhang*, Fengchun Tian,“A novel sensor feature extraction based on kernel entropy component analysis for discrimination of indoor air contaminants,”Sensors and Actuators A:
Physical, vol. 234, pp. 143-149, 2015. [IF: 2.499, Q2]
[21]Yinghui Huang,Lei Zhang, Guan Lian, Rixing Zhan, Rufu Xu, Yan Huang, Biswade Mitra, Jun Wu, and Gaoxing Luo*,“A novel mathematical model to predict prognosis of burnt patients based
on logistic regression and support vector machine,”Burns, vol. 42, no. 2, pp. 291-299, Mar 2016.[IF:2.056, Q2]
[20]Lei Zhang*, David Zhang, Fengchun Tian,“SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet,”Proceedings of ELM2015, vol. 1, pp. 249-263,
2016. Hangzhou, China, Dec15-17, 2015.
[19]Lei Zhang*, David Zhang, “Domain Adaptation Transfer Extreme Learning Machines,”Proceedings ofELM,Proceedings in Adaptation, Learning and Optimization,Singapore,vol. 3,
pp. 103-119, Springer,2015.
2014年发表论文情况
[18]Lei Zhang*, Fengchun Tian, “Performance Study of Multilayer Perceptrons in a Low-Cost Electronic Nose,”IEEE Transactions on Instrumentation & Measurement(T-IM), vol. 63, no. 7, pp. 1670-1679, July 2014. [IF:2.456, Q1]
[17]Lei Zhang*, Fengchun Tian, Xiongwei Peng, Xin Yin. “A rapid discreteness correction scheme for reproducibility enhancement among a batch of MOS gas sensors,”Sensors and Actuators A: Physical, vol. 205C, pp. 170-176, 2014. [IF:2.499, Q2]
[16]Lei Zhang*, Fengchun Tian,“A new kernel discriminant analysis framework for electronic nose recognition,”Analytica Chimica Acta, vol. 816, pp. 8-17, 2014. [IF:4.95, Q1]
[15]Lei Zhang*, Fengchun Tian, Guangshu Pei, “A novel sensor selection using pattern recognition in electronic nose,”Measurements, vol. 54, pp. 31-39, 2014. [IF:2.359, Q2]
[14]Lei Zhang*, Fengchun Tian, Xiongwei Peng, Xin Yin, Guorui Li, Lijun Dang, “Concentration estimation using metal oxide semiconductor gas sensor array based e-noses,”Sensor Review, vol. 34, no. 3, pp. 284-290, 2014. [IF:1.277, Q3]
[13]Fengchun Tian, Lijun Dang,Lei Zhang*,C. Kadri, Xin Yin, Xiongwei Peng, Shouqiong Liu,“A Novel Classifier Ensemble for Recognition of Multiple Indoor Air Contaminants by an Electronic Nose,”Sensors and Actuators A: Physical, 207 (2014) 67-74.[IF:2.499, Q2].
2013年发表论文情况
[12]Lei Zhang*,Fengchun Tian,et al., “Chaotic time series prediction of e-nose sensor drift in embedded phase space,”Sensors and Actuators B: Chemical, 182 (2013) 71-79.[IF:5.401, Q1]
[11]Lei Zhang*, Fengchun Tian, Shouqiong Liu,et al. “Standardization of metal oxide sensor array using artificial neural networks through experimental design,”Sensors and Actuators B: Chemical, 177 (2013) 947-955. [IF:5.401,
Q1]
[10]Lei Zhang*, Fengchun Tian, Lijun Dang,et al.“A novel background interferences elimination method in electronic nose using pattern recognition,”Sensors and Actuators A: Physical, 201 (2013) 254-263.[IF:2.499, Q2]
[9]Lei Zhang*, Fengchun Tian, Shouqiong Liu, Lijun Dang,et al. “Chaos based Neural Network Optimization for Concentration Estimation of Indoor Air Contaminants by an Electronic Nose,”Sensors and Actuators A: Physical,
189 (2013) 161-167. [IF:2.499, Q2]
2012年发表论文情况
[8]Lei Zhang*, Fengchun Tian, Hong Nie, Lijun Dang, Guorui Li, Qi Ye, Chaibou Kadri, “Classification of multiple indoor air contaminants by an electronic nose and a hybrid support vector machine,”Sensors and Actuators B:
Chemical, 174 (2012) 114-125. [IF:5.401, Q1]
[7]Lei Zhang*, Fengchun Tian, Shiyuan Wang, Xiao Liu, “A Novel Coding Method for Gene Mutation Correction during Protein Translation Process,”Journal of Theoretical Biology, 296 (2012) 33-40. [IF: 2.113, Q2]
[6]Lei Zhang*, Fengchun Tian, “A Novel Chaotic Sequence Optimization Neural Network for Concentration Estimation of Formaldehyde by an Electronic Nose,”IEEE CICN, 2012, 856-859.
[5]Lei Zhang*, Fengchun Tian, Shiyuan Wang, “A modified statistical optimal null filter method for protein coding regions recognition,”Genomics, Proteomics & Bioinformatics, 10 (2012) 166-173.
[4]Lei Zhang*, Fengchun Tian, Shouqiong Liu, Hongjuan Li, Chaibou Kadri, Lina Pan, “Applications of Adaptive Kalman Filter Coupled with Multilayer Perceptron for Quantification Purposes in Electronic Nose,”Journal of
Computational Information Systems, 8: 1 (2012) 275-282.
[3]Lei Zhang*, F.C. Tian, L. Dang, G. Li, “A novel ANN ensemble and self-calibration model in electronic nose for concentration estimation,”Proceedings of the International Conference on Computer, Networks and
Communication Engineering(ICCNCE), 30 (2013) 114-116.
2011年发表论文情况
[2]Lei Zhang, Fengchun Tian*, Chaibou Kadri, Bo Xiao, Hongjuan Li, Lina Pan, Hongwei Zhou, “On-Line Sensor Calibration Transfer Among Electronic Nose Instruments for Monitoring Volatile Organic Chemicals in Indoor Air
Quality,”Sensors and Actuators B: Chemical, 160 (2011) 899-909. [IF:5.401, Q1]
[1]Lei Zhang*, Fengchun Tian, Chaibou Kadri, Guangshu Pei, Hongjuan Li, Lina Pan, “Gases Concentration Estimation using Heuristics and Bio-inspired Optimization Models for Experimental Chemical Electronic Nose,”Sensors
and Actuators B: Chemical, 160 (2011) 760-770. [IF:5.401, Q1]
重要国际学术期刊与会议职务
[21]国际学术期刊World Research Journal of Bioinformatics主编(Editor in Chief)；
[20] 国际学术期刊Journal of Electrical and Computer Engineering,首席客座主编(Lead Guest Editor)
[19] Keynote speaker for International Conference on Information Technology and Applications, 2017, Guangzhou;大会特邀主讲人
[18] Invited speaker for International Conference on Fuzzy System and Data Mining, 2017, Taiwan; 大会特邀讲者
[17] Regional Chair of Chongqing in IEEE ICCT 2017, Chengdu; 重庆地区主席
[16] Best Paper AwardCommitteeChair in ELM2016, Singapore;最佳论文奖评审主席
[15] Session Chair, Co-organizer in IEEE SSCI2016, Dec 6-9, Athens, Greece; 大会分会主席
[14] Session Chair, Co-organizer in IEEE IS3C2016, Jul 4-6, Xi’an, China;大会分会主席
[13] Session Chair, Co-organizer in IEEE TENCON2016, Nov 22-25, Singapore; 大会分会主席
[12] Honor Chair in CNCT 2016; 大会荣誉主席
[11] Technical Program Committee (TPC) Member in the IEEE ICCT2017, Oct 27-30, 2017; 技术程序委员会委员
[10] Technical Program Committee (TPC) Member in the ICSEA2016, Aug 5-7, 2016;技术程序委员会委员
[9] Technical Program Committee (TPC) Member in the WCNT2016;技术程序委员会委员
[8] Technical Program Committee (TPC) Member in the CTSE2016;技术程序委员会委员
[7] Technical Program Committee (TPC) Member in the MECS2016, April 15-17, 2016, Wuhan;技术程序委员会委员
[6] Program Committee member in the ALLSENSORS 2016, April 24-28, 2016, Italy; 程序委员会委员
[5] Technical Program Committee (TPC) Member in the WCSN2016, Dec 10-11, 2016, Wuhan, China;技术程序委员会委员
[4] Technical Program Committee (TPC) Member in the 2015 IEEE Symposium on Computational Intelligence and Ensemble Learning, 7-12, Dec 2015, Cape Town, South Africa; 技术程序委员会委员
[3] Program Committee Member in the International Conference on Sensors Engineering and Electronics Instrumental Advances (SEIA’2015), 22-23 Nov 2015, Dubai, UAE,程序委员会委员
[2] Chair of Special Session on Transfer Learning inthe 5thInternational Conference on Extreme Learning Machines, Singapore, Dec 8-10, 2014;大会分会主席
[1] Technical Program Committee (TPC) Member in the 2ndInternational Conference on Computer Science andApplications (CSA 2015), Nov.20-22, 2015, Wuhan, Hubei, China;技术程序委员会委员
American University of Beirut (AUB,贝鲁特美国大学)研究项目评审专家
