Lei Zhang (張磊)

Chongqing University, 博士, 博士后, 特聘研究员,百人计划学者,香江学者,博士生导师, IEEE/IEEE CIS member, CCF Member Research Interests:Machine LearningComputer VisionImage classificationElectronic OlfactionSignal Processing

招生信息:现招收博士后,博士研究生,硕士研究生,本科生,从事机器学习、人工智能与感知学习、信号处理及相关领域(深度学习、模式识别、计算视觉、图像/视频理解、仿生嗅觉、传感器融合等)的研究与开发。联系方式:leizhang@cqu.edu.cn

[07/02/2017] One paper titled "L. Zhang, Z. He, and Y. Liu, Deep Object Recognition Across Domains based on Adaptive Extreme Learning Machine," is accepted in Neurocomputing, 2017.

[04/12/2016] One paper titled "L. Zhang, Y. Liu,  and P. Deng, Odor Recognition in Multiple E-nose Systems with Cross-domain Discriminative Subspace Learning," is accepted in IEEE Transactions on Instrumentation and Measurement, 2017. [paper code is available]

[ESI Hot paper & Highly cited paper] One paper "L. Zhang, W. Zuo, and D. Zhang, LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation, IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1179-1191, 2016" is selected as Hot paper and Highly cited paper in 2016. 8 by ESI.

[SCI Journal Call for papers] I have been invited as the Lead Guest Editor of Journal of Electrical and Computer Engineering (SCI index), and organized a Special Issue on "Machine Intelligence in Signal Sensing, Processing and Recognition (MISS)". Welcome to submit your new research papers to this issue. Submission Deadline: March 10, 2017; First Decision: June 02, 2017; Publication: July 28, 2017. [MISS-CFP.pdf]

[02/11/2016] One paper titled "T. Liu, L. Zhang, Y. Chen, D. Li, and X. Cui, Electronic Nose Based Beverage Identification by an Improved Fisher Discriminate Analysis Method," is accepted in IEEE AMC2016.

[22/10/2016] One paper titled "L. Zhang and D. Zhang, Cost-sensitive Discriminative Learning with Application to Vision and Olfaction," is published in IEEE Transactions on Instrumentation and Measurement, vol. 66, no. 2, pp. 198-211, 2017.

[28/09/2016] One paper titled "P.L. Deng and L. Zhang , Olfactory Target/Background Odor Detection via Self-expression Model," is accepted in IEEE Symposium Series on Computational Intelligence (SSCI), 2016. [paper code is available]

[06/09/2016] One paper titled "L. Zhang and D. Zhang, Evolutionary Cost-sensitive Extreme Learning Machine," is accepted as regular paper in IEEE Transactions on Neural Networks and Learning Systems, 2016. [paper code is available]

[31/08/2016] 2 papers are accepted by ELM2016.

[30/08/2016] One paper titled "Z. Zhan, L. Zhang, H. Mei, P.S.W. Fong, Online Learners' Reading Ability Detection based on Eye-tracking Sensors," is accepted in Sensors, 2016. [paper code is available]

[29/08/2016] One paper titled "L. Zhang and Y. Liu, Domain Regularized Component Analysis," is accepted in IEEE TENCON, 2016.

[26/07/2016] Our paper titled "L. Zhang and D. Zhang, "Efficient Solutions for Discreteness, Drift and Disturbance (3D) in Electronic Olfaction," is accepted as regular paper in IEEE Transactions on Systems, Man, and Cybernetics: Part A, 2016. [paper][code] [paper code is available]

[07/07/2016] I will serve as the Best Paper Award Committee Chair in International Conference on ELM 2016, Singapore.

[24/06/2016] Our paper titled "L. Zhang and D. Zhang, Robust Visual Knowledge Transfer via Extreme Learning Machine based Domain Adaptation," is accepted as regular paper for publication in IEEE Transactions on Image Processing, 2016. [paper][code]. [paper code is available]

[05/05/2016] Our paper titled "F. Tian, Z. Liang, L. Zhang, A novel pattern mismatch based interference elimination technique in E-nose," has been published in Sensors and Actuators B: Chemical, vol. 234, pp. 703-712, 2016. [paper][code]. [paper code is available]

[26/04/2016] I have been awarded as the Outstanding Reviewer for Sensor Review (2016 award for excellence in the Emerald Literati Network), two reviewers are chosen per year.

[05/04/2016] Our paper titled "L. Zhang, D. Zhang, X. Yin, and Y. Liu, A Novel Semi-supervised Learning Approach in Artificial Olfaction for E-Nose Application," has been published in IEEE Sensors Journal, vol. 16, no. 12, pp. 4919-4931, 2016. [paper][code]. [paper code is available]

[15/03/2016] Our paper titled "L. Zhang, S.K. Jha, and T. Liu, Discriminative Kernel Transfer Learning via l2,1-Norm Minimization" has been accepted in IEEE International Joint Conference on Neural Networks, 2016.(IJCNN2016). [Oral presentation]. Vancouver, Canada. [paper][code]

[04/01/2016] Our paper titled "L. Zhang, W.M. Zuo, and D. Zhang, LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation" has been published in IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1177-1191, 2016. [paper], [online], [code]. [paper code is available]

[19/12/2015] Our paper titled "L. Zhang, D. Zhang and F.C. Tian, SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet" has been oral presented in The 6th Int'Conf ELM, 14-17 Dec, 2015, Hangzhou. The code is available. [code][slides]Presentation.pdf [paper code is available]

[15/12/2015] Our paper titled "L. Zhang and D. Zhang, MetricFusion: Generalized Metric Swarm Learning for Similarity Measure" is published in Information Fusion, vol. 30, pp. 80-90, 2016. [paper]MetricFusion.pdf

[10/12/2015] Our paper titled "L. Zhang and D. Zhang, Visual Understanding via Multi-Feature Shared Learning with Global Consistency" is published in IEEE Transactions on Multimedia, vol. 18, no. 2, pp. 247-259, 2016. [paper], [published version online], [code]. [paper code is available].

[23/12/2015] Our paper titled "X. Yin, L. Zhang, F.C. Tian and D. Zhang, Temperature Modulated Gas Sensing E-nose System for Low-cost and Fast Detection" is published in IEEE Sensors Journal, vol.16, no.2, pp.464-474, 2015. [paper, data and code are available][paper code is available]

[news] Our paper titled "X. Peng, L. Zhang*, F. Tian, and D. Zhang, A novel sensor feature extraction based on kernel entropy component analysis for discrimination of indoor air contaminants" is published in Sensors and Actuators A, vol.234, pp.143-149, 2016. The code is available. [paper], [code], [paper code is available]

[Call for papers] I have organized a Special Session (Chair: Dr. Lei Zhang) on "Transfer Learning and Signal Processing for Multimedia Analysis" in IEEE SCOPES 2016, Oct 3-5, India. Welcome to submit your new research papers. Submission Deadline: Aug 25, 2016; Notice of Acceptance: Sep 10, 2016.

[Call for papers] I have organized a Special Session (Chair: Dr. Lei Zhang, Dr. Sunil Kr. Jha) on "Advanced Learning for Large-scale Heterogeneous Data in Intelligent Vision and Olfaction Systems" in IEEE SSCI 2016, Dec 6-9, Athens, Greece. Welcome to submit your new research papers. Submission Deadline: Jul 18, 2016 (Extended to Aug 15, 2016); Notice of Acceptance: Sep 12, 2016.

[Call for papers] I have organized a Special Session (SS-8, Chair: Dr. Lei Zhang) on "Computer Vision and Machine Learning" in IEEE TENCON2016, Nov 22-25, Singapore. Welcome to submit your new research papers. Paper Submission Deadline: 20 Jun 2016; Notice of Acceptance: 1 Aug 2016; Final Manuscripts Submission: 10 September 2016. (EI-index)

[Call for papers] I have organized a Special Session (SS-16, Chair: Dr. Lei Zhang) on "Intelligent Sensing Systems and Algorithms" in IEEE IS3C2016, Jul 04-06, Xi'an, China. Welcome to submit your new research papers. Paper Submission Deadline: 05 May 2016; Notice of Acceptance: 15 May 2016; Final Manuscripts Submission: 20 May 2016. (EI-index)

Full Publication List (where the source codes and free paper pdf are released and downloaded)

[2017][2016][2015][2014][2013][2012][2011]

Selected Journal Papers (* indicates corresponding author)

  • IEEE Transactions:

[11] L. Zhang*, Y. Liu, and P. Deng, "Odor Recognition in Multiple E-nose Systems with Cross-domain Discriminative Subspace Learning," IEEE Transactions on Instrumentation and Measurement (T-IM), vol. -, no.-, pp. -, 2017. in press

[10] L. Zhang* and D. Zhang, "Cost-sensitive Discriminative Learning with Application to Vision and Olfaction," IEEE Transactions on Instrumentation and Measurement (T-IM), vol. 66, no. 2, pp. 198-211, 2017.

[9] L. Zhang* and D. Zhang, "Evolutionary Cost-sensitive Extreme Learning Machine," IEEE Transactions on Neural Networks and Learning Systems (T-NNLS), vol. -, no. -, pp. -, 2017. in press

[8] L. Zhang* and D. Zhang,"Efficient Solutions for Discretenss, Drift and Disturbance (3D) in Electronic Olfaction," IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMCA), vol. -, no. -, pp. -, 2017 in press

[7] L. Zhang* and D. 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, 2016.

[6] L. Zhang*, W. Zuo, and D. Zhang, "LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation," IEEE Transactions on Image Processing (T-IP), vol. 25, no. 3, pp. 1177-1191, 2016.

[5] L. Zhang* and D. Zhang, "Visual Understanding via Multi-Feature Shared Learning with Global Consistency," IEEE Transactions on Multimedia (T-MM), vol. 18, no. 2, pp. 247-259, 2016.

[4] L. Zhang*, D. Zhang, X. Yin, and Y. Liu, "A Novel Semi-supervised Learning Approach in Artificial Olfaction for E-Nose Application," IEEE Sensors Journal, vol. 16, no. 12, pp. 4919-4931, 2016.

[3] X. Yin, L. Zhang*, F. Tian and D. Zhang, "Temperature Modulated Gas Sensing E-nose System for Low-Cost and Fast Detection," IEEE Sensors Journal, vol. 16, no. 2, pp. 464-474, 2016.

[2] L. Zhang* and D. Zhang, "Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems," IEEE Transactions on Instrumentation and Measurement (T-IM), vol. 64, no. 7, pp. 1790-1801, July 2015.

[1] L. Zhang* and F. Tian,"Performance Study of Multilayer Perceptrons in Low-Cost Electronic Nose," IEEE Transactions on Instrumentation and Measurement (T-IM), vol.63, pp. 1670-1679, 2014.

  • Elsevier Journal with High Impact Factors

[9] L. Zhang*, Z. He, and Y. Liu, "Deep Object Recognition Across Domains based on Adaptive Extreme Learning Machine," Neurocomputing, vol. 239C, pp. 194-203, 2017. (IF: 2.392)

[8] L. Zhang* and D. Zhang, "MetricFusion: Generalized Metric Swarm Learning for Similarity Measure," Information Fusion, vol. 30, pp. 80-90, 2016. (IF: 4.353)

[7] F. Tian, Z. Liang, L. Zhang*, "A novel pattern mismatch based interference elimination technique in E-nose," Sensors and Actuators B, vol. 234, pp. 703-712, 2016. (IF: 4.758)

[6] L. Zhang* and F. Tian,"A new kernel discriminant analysis framework for electronic nose recognition," Analytica Chimica Acta, vol. 816, pp. 8-17, 2014. (IF: 4.712)

[5] L. Zhang*, F. Tian, X. Peng, L. Dang, G. Li, S. Liu, C. Kadri,"Standardization of metal oxide sensor array using artificial neural networks through experimental design," Sensors and Actuators B, vol. 177, pp. 947-955, 2013. (IF: 4.758)

[4] L. Zhang*, F. Tian, S. Liu, L. Dang, X. Peng, X. Yin, "Chaotic time series prediction of e-nose sensor drift in embedded phase space," Sensors and Actuators B, vol. 182, pp. 71-79, 2013. (IF: 4.758)

[3] L. Zhang*, F. Tian, H. Nie, L. Dang, G. Li, Q. Ye, C. Kadri, "Classification of multiple indoor air contaminants by an electronic nose and a hybrid support vector machine," Sensors and Actuators B, vol. 174, pp. 114-125, 2012. (IF: 4.758)

[2] L. Zhang*, Fengchun Tian, Chai bou Kadri, Guangshu Pei, Hongjuan Li, Lina Pan,"Gases concentration estimation using heuristics and bioinspired optimization models for experimental chemical electronic nose," Sensors and Actuators B, vol. 160,pp. 760-770, 2011. (IF: 4.758)

[1] L. Zhang, F.C. Tian*, C. Kadri, B. Xiao, H.J. Li, L. Pan, H. Zhou, "On-Line Sensor Calibration Transfer Among Electronic Nose Instruments for Monitoring Volatile Organic Chemicals in Indoor Air Quality," Sensors and Actuators B, vol. 160, pp. 899-909, 2011. (IF: 4.758)

  • Indexed by Web of Science

[11] Z. Zhan, L. Zhang*, H. Mei, and Patrick S.W. Fong, "Online Learners' Reading Ability Detection based on Eye-tracking Sensors," Sensors, vol. 16, no. 9, pp. 1457-1473, 2016. (IF: 2.033)

[10] X.W. Peng, L. Zhang*, and F. Tian, "A novel sensor feature extraction based on kernel entropy component analysis for discrimination of indoor air contaminants," Sensors and Actuators A, vol. 234, pp. 143-149, 2015. (IF: 2.201)

[9] L. Zhang*, X. Peng, "Time series estimation of gas sensor baseline drift using ARMA and Kalman based models," Sensor Review, vol. 36, no. 1, pp. 34-39, 2016. (IF: 0.898)

[8] Y. Huang, L. Zhang, G. Lian, R. Zhan, R. Xu, Y. Huang, B. Mitra, J. Wu, and G. 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, 2016. (IF: 1.88)

[7] L. Zhang*, F. Tian, X. Peng, and X. Yin, "A rapid discreteness correction scheme for reproducibility enhancement among a batch of MOS gas sensors," Sensors and Actuators A, vol. 205C, pp. 170-176, 2014. (IF: 2.201)

[6] L. Zhang*, F. Tian, and G. Pei, "A novel sensor selection using pattern recognition in electronic nose," Measurement, vol. 54, pp. 31-39, 2014. (IF: 1.742)

[5] L. Zhang*, F. Tian, X. Peng, X. Yin, G. Li, and L. Dang, "Concentration estimation using metal oxide semiconductor gas sensor array based e-noses," Sensor Review, vol. 34, no. 3, pp. 284-290, 2014. (IF: 0.898)

[4] F. Tian, L. Dang, L. Zhang*, C. Kadri, X. Yin, X. Peng, and S. Liu, "A Novel Classifier Ensemble for Recognition of Multiple Indoor Air Contaminants by an Electronic Nose," Sensors and Actuators A, vol. 207, pp. 67-74, 2014. (IF: 2.201)

[3] L. Zhang*, F. Tian, L. Dang, "A novel background interferences elimination method in electronic nose using pattern recognition," Sensors and Actuators A, vol. 201, pp. 254-263, 2013. (IF: 2.201)

[2] L. Zhang*, F. Tian, S. Liu, L. Dang, "Chaos based Neural Network Optimization for Concentration Estimation of Indoor Air Contaminants by an Electronic Nose," Sensors and Actuators A, vol. 189, pp. 161-167, 2013. (IF: 2.201)

[1] L. Zhang*, F. Tian, S. Wang, and X. Liu, "A Novel Coding Method for Gene Mutation Correction during Protein Translation Process," Journal of Theoretical Biology, vol. 269, pp. 33-40, 2012. (IF: 2.303)

  • Principal Investigator:
  • 01/2015~12/2017 Bionic Olfactory Perception Odor Fingerprint Expression, Reconstruction and Prediction, National Natural Science Foundation of China (NSFC).

  • 05/2014~12/2015 Facial Aesthetics Research via Machine Learning in Computer Vision, supported by Postdoctoral Science Foundation of China.

  • 11/2013~11/2015 Facial Beauty Analysis using Biometric Techniques, supported by Hong Kong Scholar Program.

  • 03/2011~06/2013 Ph.D Thesis titled "Accuracy and Robustness of Artificial Olfaction System For IAQ", supported by Ministry of Education, China.

  • 06/2011~12/2011 Research on Accuracy and Robustness of Electronic Nose Based on Intelligent Information Processing Techniques, supported by Graduate Technology Innovation Fund for Central University of China.

  • 06/2012~12/2012 Chaos Neural Network Prediction in Intelligent Electronic Nose, supported by Graduate Technology Innovation Fund for Central University of China.

  • 03/2012~03/2013 Portable Air Quality Monitor, supported by Innovative Practices Contest of Chongqing (Third prize of Chongqing).

  • Key Participation:
  • On-line "Qualitative-Quantitative" Drift Suppression Methods Research using "drift patterns" based Artificial Olfactory System, supported by National Natural Science Foundation of China (NSFC).

  • Low Cost Research and Industrialization of Environmental Air Monitor and Purification, supported by Key Scientific and Technological Project of Chongqing, China.

  • Pattern Recognition Algorithm Research of Human Body's Wound Smell based on Electronic Nose Technology, supported by Key Natural Science Foundation Project of Chongqing, China.

  • Research of Minimum Genome Design Method based on Error Correction Encoding Theorey, supported by National Natural Science Foundation of China (NSFC).

  • Portable and Real-Time Air Quality Monitoring System based on Electronic Nose, supported by Postgraduates'  Science and Innovation Fund for Central University.

  • Research of Graphical Representation Method and Its Application in Biological Sequence based on Free Energy, supported by Postgraduates'  Science and Innovation Fund for Central University.

  • Long Term Drift and Countermeasure Research of Artifical Olfactory System, supported by Natural Science Foundation of Chongqing.


2016


  • Intelligent Information Processing (for Undergraduate students)


  • Image Processing and Recognition (for Master,Ph.D students)

  • Journals

  • Editor in Chief (主编)

  • World Research Journal of Bioinformatics (WRJB)

  • Associate Editor (AE)/Editorial Board Member

  • Journal of Proteomics, Genomics & Bioinformatics Studies (JPGBS)

  • Journal of Computer Science Technology Updates (JCST)

  • Lead Guest Editor (客座主编)

  • Journal of Electrical and Computer Engineering (JECE)

  • Conferences

  • Session Chair/Co-organizer (分会主席)

  • IEEE SSCI 2016;

  • IEEE IS3C 2016;

  • IEEE TENCON 2016;

  • The 5th International Conference on Extreme Learning Machines, Singapore;

  • ELM2015, Hangzhou, China;

  • Regional Chair of Chongqing (重庆地区主席)

  • IEEE ICCT2017

  • Best Paper Award Committee Chair (最佳论文奖评审主席)

  • ELM 2016

  • Honor Chair (荣誉主席)

  • CNCT 2016

  • Technical Program Committee (TPC) Member (技术委员)

  • IEEE ICCT2017

  • 2016ALLSENSORS;

  • 2016WCNT;

  • 2016WCSN;

  • 2016MECS;

  • 2016CTSE;

  • 2016EEA;

  • 2016SSIT

  • 2015 IEEE Symposium on Computational Intelligent and Ensemble Learning (IEEE CIEL 2015);

  • The 2nd International Conference on Computer Science and Applications (CSA'2015);

  • International Conference on Sensors Engineering and Electronics Instrumental Advances (SEIA'2015);

  • Committee for The China-Canada Medical Intelligent Electronic Nose R & D Center;

  • SCI Journal Reviewers

  • IEEE Transactions on Industrial Electronics (T-IE)

  • IEEE Transactions on Image Processing (T-IP)

  • IEEE Transactions on Cybernetics (T-CYB)

  • IEEE Transactions on Multimedia (T-MM)

  • IEEE Transactions on Instrumentation and Measurement (T-IM)

  • IEEE Transactions on Systems, Man, Cybernetics: Systems (T-SMCA)

  • IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT)

  • IEEE Sensors Journal

  • IEEE Geoscience and Remote Sensing Letters (GRSL)

  • Pattern Recognition (PR)

  • Information Sciences (IS)

  • Information Fusion (IF)

  • Neural Networks (NN)

  • Neurocomputing

  • Neural Computing and Applications (NCA)

  • Sensors & Actuators B: Chemical (SAB)

  • Sensors & Actuators A: Physical (SNA)

  • Multidimensional Systems and Signal Processing

  • International Journal of Machine Learning and Cybernetics

  • Journal of the Franklin Institute

  • Signal, Image and Video Processing

  • Measurement

  • Sensors

  • Sensor Review (SR)

  • Assembly Automation

  • Electroanalysis

  • International Food Research Journal

  • Entropy

  • ETRI Journal

  • Swarm and Evolutionary Computation (SEC)

  • Computers and Electrical Engineering (CEE)

  • Computers in Biology and Medicine (CBM)

  • Nucleosides, Nucleotides & Nucleic Acids (NNNA)

  • FEBS Letters (Federation of European Biochemical Societies)

  • KSII Transactions on Internet and Information Systems(TIIS)

  • International Journal of Environmental Analytical Chemistry(IJEAC)

  • Journal of Intelligent Systems

  • Journal of Electroanalytical Chemistry

  • Other Indexed Journal Reviewers

  • CAAI Transactions on Intelligence Technology

  • American Society of ABE

  • International Journal of Swarm Intelligence and Evolutionary Computation

  • Industrial Engineering & Management

  • Journal of Information Technology & Software Engineering

  • Global Journal of Technology and Optimization

  • Journal of Software

  • Autosoft Journal

  • Data in Brief

  • Project Reviewer

    Reviewer for American University of Beirut

  • The Best Paper Award Committee Chair of ELM2016. (国际学术会议最佳论文奖评审主席)

  • Outstanding Reviewer Award by International Journal of Sensor Review, 2016. (国际学术期刊杰出评审人)

  • Outstanding Doctoral Dissertation Award of Chongqing, 2015. (重庆市优秀博士论文奖)

  • Excellent Ph.D. Thesis and Outstanding Doctoral Dissertation Award in Chongqing University 2014. (重庆大学优秀博士论文奖)

  • Win the Hong Kong Scholar Award in China in 2014. (香江学者计划-香江学者奖)

  • Win the Huang Shanglian Fellow Youth Innovation Award of Chongqing University in 2013. (院士青年创新奖)

  • Win the third prize of Chongqing in the contest of innovation and practice in 2013. (重庆市创新与实践三等奖)

  • Excellent Academic Pacesetter in Innovation of Science and Technology Awarded by Chongqing University in 2013.

  • New Academic Researcher Award for Doctoral Candidates granted by Ministry of Education of China in 2012. (教育部博士学术新人奖)

  • National Scholarship of Excellent Doctoral Canditate Awarded by China in 2012.(博士国家奖)

  • New Academic Researcher Award for Doctoral Candidates granted by Chongqing University in 2012.

  • Win the High Level Journal Paper Awards of Chongqing University in 2012.

  • Excellent Master Student Awarded by Chongqing University of China in 2011.

  • Win the High Level Journal Paper Awards of Chongqing  University in 2011.

  1. CUHK- Tang Xiao'ou Multimedia Lab for Face Recognition and Deep Learning: http://mmlab.ie.cuhk.edu.hk/index.html  

  2. UCLA- Zhu Songchun's Lab for Computer Vision: http://vcla.stat.ucla.edu/people.html  

  3. PASCAL Visual Object Classes (VOC) Challenge: http://host.robots.ox.ac.uk/pascal/VOC/voc2007/index.html

  4. MatConvNet tool: http://www.vlfeat.org/matconvnet/

  5. DeepLearning Toolbox: https://github.com/rasmusbergpalm/DeepLearnToolbox

  6. Dataset in Computer Vision: http://www.computervisiononline.com/datasets

  7. LFW Faces Verification: Datasets and Results: http://vis-www.cs.umass.edu/lfw/

  8. MNIST Handwritten Database: http://yann.lecun.com/exdb/mnist/

  9. Transfer Learning and Domain Adaptation: Database and Codes: http://vc.sce.ntu.edu.sg/transfer_learning_domain_adaptation/domain_adaptation_home.html

  10. Metric Learning: Codes and Database: http://www.cse.wustl.edu/~kilian/code/code.html

  11. Face Recognition: Datasets and Codes: http://www.face-rec.org/databases/

  12. UCI Machine Learning Datasets: http://archive.ics.uci.edu/ml/

  13. Machine Learning and Data Mining Group (LAMDA): http://lamda.nju.edu.cn/MainPage.ashx

  14. Computer Vision Group in CMU: http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/vision.html

  15. Extreme Leanring Machine Group in NTU: http://www.ntu.edu.sg/home/egbhuang/elm_codes.html

  16. Machine Olfaction-Electronic nose sensor drift datasets:

    http://archive.ics.uci.edu/ml/datasets/Gas+Sensor+Array+Drift+Dataset

  17. Machine Olfaction-Electronic nose virtual sensor datasets:

    http://neurochem.sisbio.recerca.upc.edu/public/datasets/

    http://www.sciencedirect.com/science/article/pii/S2352340915000220

  18. Machine Olfaction-Electronic nose Sensor Array dataset with mixtures:

    https://archive.ics.uci.edu/ml/datasets/Gas+sensor+array+under+flow+modulation

    http://www.sciencedirect.com/science/article/pii/S235234091500027X

Master, Ph.D and Postdoc positions in our team are available in Pattern Recognition, Machine Learning, Computer Vision and Computational Intelligence. If you have strong interest and challenge in research, please send your CV to leizhang@cqu.edu.cn

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