个人简介
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
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，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IEEE Sensor 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%）。
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”。
一、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）
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 Award Committee Chair 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 in the 5th International Conference on Extreme Learning Machines, Singapore, Dec 8-10, 2014; 大会分会主席
[1] Technical Program Committee (TPC) Member in the 2nd International Conference on Computer Science and Applications (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
重要国际学术期刊评审职务
[23] IEEE Transactions on Image Processing
[22] IEEE Transactions on Multimedia
[21] IEEE Transactions on Cybernetics
[20] IEEE Transactions on Instrumentation and Measurement
[19] IEEE Transactions on Industrial Electronics
[18] IEEE Transactions on Circuits Systems and Video Technology
[17] IEEE Transactions on Systems, Man, and Cybernetics: Systems
[16] IEEE Sensors Journal
[15] IEEE Geoscience and Remote Sensing Letters
[14] Pattern Recognition
[13] Information Fusion
[12] Information Sciences
[11] Neural Networks
[10] Neurocomputing
[9] Applied Soft Computing
[8] Sensors and Actuators B: Chemical
[7] Sensors and Actuators A: Physical
[6] IET Circuits, Devices & Systems
[5] Neural Computing and Applications
[4] Multidimensional Systems and Signal Processing
[3] Signal, Image and Video Processing
[2] CAAI Transactions on Intelligence Technology
[1] Swarm and Evolutionary Computation
近期论文
查看导师新发文章
（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）
主要科研论文情况（Selected Publications）：
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 Odor Detection in Electronic Nose via Self-expression Inspired Extreme 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 on Instrumentation and Measurement (T-IM), vol. 66, no. 2,
pp. 198-211, Feb 2017. [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 Drift Reduction,” 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, and Lei 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 on Neural Network and Learning
Systems (TNNLS), 2017. Accept. [IF: 6.108, Q1]
[37] Lei Zhang*, Sunil Kr. Jha, and Tao Liu, “Discriminative Kernel Transfer Learning via l2,1-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 Transactions on Multimedia (T-MM), vol. 18, no. 2, pp. 247-259,
Feb 2016. [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, July 2016. [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,” IEEE Sensors Journal, vol. 16, no. 2,
pp. 464-464, Jan 2016. [IF: 2.512, Q2]
[29] Yan Liu and Lei Zhang*, “Shared Subspace Learning via Cross-domain Extreme Learning Machine,” ELM, Dec 13-15, 2016. Singapore.
[28] Tan Guo, Xiaoheng Tan, and Lei Zhang, “Discriminative Extreme Learning Machine for Face Recognition,” ELM, Dec 13-15, 2016. Singapore.
[27] Pingling Deng and Lei 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 ELM 2015, vol. 1, pp. 249-263,
2016. Hangzhou, China, Dec 15-17, 2015.
[19] Lei Zhang*, David Zhang, “Domain Adaptation Transfer Extreme Learning Machines,” Proceedings of ELM, 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]
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