[name]
[2018], [2017], [2016], [2015], [2014], [2013], [2012], [2011]

Full Publications

(* denotes corresponding author)

Papers in reprints

[85] Zhenwei He, Lei Zhang*, and Wei Jia, "End-to-End Detection and Re-identification Integrated Net for Person Search," arXiv, 2018. [paper]

[84] Shanshan Wang and Lei Zhang*,"CatGAN: Coupled Adversrial Transfer for Domain Generation," arXiv: 1711.08904, 2017. [paper]

[83] Lei Zhang* and David Zhang,"SVM and ELM: Who Wins? Object Recognition with Deep Convolutional Features from ImageNet," Tech. Report, in arXiv:1506.02509, 2015. [paper],[data and source code], published in Neurocomputing

[82] Lei Zhang* and David Zhang,"Robust Visual Knowledge Transfer via EDA,"in arXiv.org(arXiv:1505.04382), 2015. [paper], [source code], published in IEEE Trans. IP

[81] Lei Zhang* and David Zhang, "Evolutionary Cost-sensitive Extreme Learning Machine and Subspace Extension," in arXiv.org (arXiv:1505.04373), 2015. [paper], [source code], published in IEEE Trans. NNLS

[80] Lei Zhang* and David Zhang, "Visual Understanding via Multi-Feature Shared Learning with Global Consistency," in arXiv.org (arXiv:1505.05233), 2015. [paper], [source code], published in IEEE Trans. MM

[79] Lei Zhang* and David Zhang, "Domain Adaptation Extreme Learning Machines for Drift Compensation in E-nose Systems," in arXiv.org(arXiv:1505.06405), 2015. [paper], [source code 1], [source code 2], published in IEEE Trans. IM

Papers in 2018

[78] Lei Zhang*, Xuehan Wang, Guang-bin Huang, Tao Liu, and Xiaoheng Tan, "Taste Recognition in E-Tongue using Local Discriminant Preservation Projection," IEEE Transactions on Cybernetics [T-CYB], 2018. Accept. (IF: 7.384). [paper], [Data and Code are available here]

[77] Tan Guo, Xiaoheng Tan, Lei Zhang, Qin Liu, Lu Deng, and Chaochen Xie, "Learning Robust Weighted Group Sparse Graph for Discriminant Visual Analysis," Neural Processing Letters, 2018. Accept. (IF: 1.620)

[76] Lei Zhang*, Qingyan Duan, Wei Jia, David Zhang, and Xizhao Wang, "AdvKin: Adversarial Convolutional Network for Kinship Verification," IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted, 2018. [Github source code]

[75] Lei Zhang*, Shanshan Wang, Wangmeng Zuo, and Bob Zhang, "Class-specific Reconstruction Transfer Learning for Visual Recognition Across Domains," IEEE Transactions on Image Processing, submitted, 2018.

[74] Lei Zhang*, Ji Liu, Bob Zhang, and David Zhang, "Representation based Deep Cascade Model for Robust Face Recognition," IEEE Transactions on Image Processing, submitted, 2018.

[73] Lei Zhang*, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, and David Zhang, "Generative Feature Transfer via Manifold Criterion for Cross-domain Visual Classification," IEEE Transactions on Pattern Analysis and Machine Intelligence, submitted, 2018.

Papers in 2017

[72] Lei Zhang*, Sunil Kr. Jha, Zhixin Yang, Zhenbing Zhao, and Bhupendra Nath Tiwari, "Editoral: Machine Intelligence in Signal Sensing, Processing, and Recognition," Journal of Electrical and Computer Engineering, vol. 2017, pp. 1-2, 2017. [website]

[71] Shanshan Wang, Lei Zhang*, and Wangmeng Zuo, "Class-specific Reconstruction Transfer Learning via Sparse Low-rank Constraint," IEEE Int'Conf. Computer Vision (ICCV), pp. 949-957, Oct 2017. Venice, Italy. [paper]

[70] Qingyan Duan, Lei Zhang*, and Wangmeng Zuo, "From Face Recognition to Kinship Verification: An Adaptation Approach," IEEE Int'Conf. Computer Vision (ICCV), pp. 1590-1598, Oct 2017. Venice, Italy.[paper], [Github source code]

[69] Qingyan Duan and Lei Zhang*, "AdvNet: Adversarial Contrastive Residual Net for 1 Million Kinship Recognition," ACM Conf. Multimedia (ACM MM), pp. 21-29, Oct 2017. Mountain View, California, USA. [paper], [Github source code]

[68] Qingyan Duan, Lei Zhang*, and Wei Jia, "Adv-Kin: An Adversarial Convolutional Network for Kinship Verification," CCBR, pp. 48-57, Oct 2017. Shenzhen, China. [paper], [Github source code], [Best Paper Award]

[67] Lei Zhang*, Jian Yang, and David Zhang, "Domain Class Consistency based Transfer Learning for Image Classification Across Domains," Information Sciences, vol. 418-419, pp. 242-257, 2017. [paper] (IF: 4.832)

[66] Tan Guo, Xiaoheng Tan, and Lei Zhang*, "Hierarchical Pruning Discriminative Extreme Learning Machine," ELM, Oct 2017, Yantai, China. [paper and source code coming soon]

[65] Ji Liu and Lei Zhang*, "Sparse Softmax Vector Coding based Deep Cascade Model," CCCV, pp. 603-614, Oct 2017. Tianjin, China. Acceptance rate: 42% (196/464). [paper], [Source code coming soon]

[64] Lei Zhang*, Yan Liu, Zhenwei He, Ji Liu, Pingling Deng, and Xichuan Zhou, "Anti-Drift in E-nose: A Subspace Projection Approach with Drift Reduction," Sensors and Actuators B: Chemical, vol. 253, pp. 407-417, 2017. [paper], [source code] (IF: 5.401)

[63] Tan Guo, Xiaoheng Tan*, Lei Zhang*, Chaochen Xie, and Lu Deng, "Block-diagonal Constrained Low-rank and Sparse Graph for Discriminant Analysis of Image Data," Sensors, vol. 17, pp. 1475-1491, 2017. [paper] (IF: 2.677) [paper source code coming soon]

[62] 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 [T-NNLS], to appear, 2017. [paper] (IF: 6.108)

[61] Tan Guo, Lei Zhang*, Xiaoheng Tan*, "Neuron Pruning based Discriminative Extreme Learning Machine for Pattern Classification," Cognitive Computation, vol. 9, pp. 581-595, 2017. [paper], [source code] (IF: 3.441)

[60] Yan Liu, Lei Zhang*, Pingling Deng, Zheng He, "Common Subspace Learning via Cross-domain Extreme Learning Machine," Cognitive Computation, vol. 9, pp. 555-563, 2017. [paper], [source code] (IF: 3.441)

[59] Lei Zhang*, David Zhang, Ming-Ming Sun, and Fang-Mei Chen, "Facial Beauty Analysis based on Geometric Feature: Toward Attractiveness Assessment Application," Expert Systems with Applications, vol. 82, pp. 252-265, Oct 2017. [paper], [link] (IF: 3.928)

[58] 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 [T-SMCA], 2017. to appear. [link], [paper], [source code](IF: 2.35)

[57] 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. [link] (IF: 3.317)

[56] 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. [paper], [source code]. (IF: 2.456)

[55] Lei Zhang* and David 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. [paper]. (IF: 2.456)

[54] Xichuan Zhou, Fan Yang, Yujie Fang, Qin Li, Fang Tang, Shengdong Hu, Zhi Lin, and Lei Zhang*, "A Spatial-Temporal Method to Detect Global Influenza Epidemics Using Heterogeneous Data Collected from the Internet," IEEE Transactions on Computational Biology and Bioinformatics [T-CBB], 2017. in press. [paper] (IF: 1.955)

[53] Pingling Deng and Lei Zhang*, "Olfactory Target/Background Odor Detection via Self-expression Model," IEEE Symposium Series on Computational Intelligence (SSCI), 2016. Athens, Greece, Dec 6-9, 2016. [paper]

[52] Tao Liu, Lei Zhang*, Yanbing Chen, Dongqi Li and Xingrui Cui, "Electronic Nose Based Beverage Identification by an Improved Fisher Discriminate Analysis Method,"IEEE AMC, 2016. Accept.

[51] Lei Zhang* and David Zhang, "Evolutionary Cost-sensitive Extreme Learning Machine," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 28, no. 12, pp. 3045-3060, 2017. [paper], [source code]. to appear. [link] (IF: 6.108) [ESI Highly Cited Paper]

Papers in 2016

[50] Yan Liu and Lei Zhang*, "Shared Subspace Learning via Cross-domain Extreme Learning Machine," ELM2016. Accept

[49] Tan Guo, Xiaoheng Tan, and Lei Zhang, "Discriminative Extreme Learning Machine for Face Recognition," ELM2016. Accept

[48] Lei Zhang* and Yan Liu, "Domain Regularized Transfer Component Analysis," IEEE TENCON, pp.3140-3143, 2016. Singapore, Nov 22-25, 2016. [paper]

[47] 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, 2016. [paper], [source code]. (IF: 2.677)

[46] Lei Zhang* and David Zhang, "Efficient Solutions for Discreteness, Drift, and Disturbance (3D) in Electronic Olfaction," IEEE Transactions on Systems, Man, and Cybernetics: Part A [T-SMCA], vol. 48, no. 2, pp. 242-254, 2018. doi: 10.1109/TSMC.2016.2597800. [paper], [source code] (IF: 2.35)

[45] Lei Zhang* and 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, 2016. [paper],[source code], [supp](IF: 4.828)

[44] 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, 2016.[paper], [source code] (IF: 2.512)

[43] Lei Zhang*, Sunil Kr. Jha, and Tao Liu, "Discriminative Kernel Transfer Learning via l2,1-Norm Minimization," IEEE International Joint Conference on Neural Networks [IJCNN], pp. 2220-2227, 2016, Vancouver, Canada, July 24-29.[paper], code is coming soon

[42] 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, 2016.[paper],[source code](IF: 5.401)

[41] Lei Zhang*, Wangmeng Zuo, and 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, 2016.[paper], [source code] (IF: 4.828) [ESI Highly Cited Paper]

[40] Lei Zhang* and David Zhang, "MetricFusion: Generalized Metric Swarm Learning for Similarity Measure," Information Fusion, vol. 30, pp. 80-90, 2016.[paper] (IF: 5.667)

[39] Lei Zhang* and 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, 2016. [paper], [source code] (IF: 3.509)

Papers in 2015

[38] Xin Yin, Lei Zhang*, Fengchun Tian and David 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. in press. [paper], [data and source code] (IF: 2.512)

[37] Xiongwei Peng, Lei Zhang*, Fengchun Tian, and David Zhang, "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. [paper], [source code 1], [source code 2] (IF: 2.499)

[36] Lei Zhang*, David Zhang, and 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, Dec.15-17. [data and source code].

[35] 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, 2016, in press.[paper] (IF: 2.056)

[34] Lei Zhang* and Xiongwei 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. [paper] (IF: 1.277)

[33] Lei Zhang* and David 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. [paper], [source code 1], [source code 2] (IF: 2.456) [ESI Highly Cited Paper]

[32] Ke Yan and David Zhang,"Feature selection and analysis on correlated gas sensor data with recursive feature elimination," Sensors and Actuators B, vol. 212, pp. 353-363, 2015. (IF: 5.401)

[31] Zhen Zhao, Fengchun Tian, et al.,"A Novel Spectrum Analysis Technique for Odor Sensing in Optical Electronic Nose," Sensors and Actuators B, 2015. (IF: 5.401)

Papers in 2014

[30] Lei Zhang* and Fengchun Tian,"A new kernel discriminant analysis framework for electronic nose recognition," Analytica Chimica Acta, vol. 816, pp. 8-17, 2014. [paper], [source code] (IF: 4.95)

[29] Lei Zhang* and David Zhang, "Domain Adaptation Transfer Extreme Learning Machines," Proceedings of International Conference on Elm, vol.1, pp. 103-119, 2014, Dec 8-10, Singapore.[paper],[source code],[ppt]

[28] Lei Zhang*, Fengchun Tian, Guangshu Pei,"A novel sensor selection using pattern recognition technique in electronic nose,"Measurement, vol.54, pp. 31-39, 2014.[paper],[source code] (IF: 2.359)

[27] Lei Zhang* and Fengchun 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.[paper] (IF: 2.456)

[26] 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, vol.205, pp.170-176, 2014.[paper],[code] (IF: 2.499)

[25] Lijun Dang, Fengchun Tian, Lei Zhang*, Chaibou Kadri, Xiongwei Peng, Xin Yin, Shouqiong 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.[paper],[code] (IF: 2.499)

[24] Lei Zhang*, Fengchun Tian, Xiongwei Peng, Xin Yin, Guorui Li,and Lijun Dang,"Concentration estimation using metal oxide semiconductor gas sensor array based e-noses," Sensor Review,vol.34, pp.284-290, 2014. [paper],[code] (IF: 1.277)

Papers in 2013

[23] Lei Zhang*, Fengchun Tian, Xiongwei Peng, Lijun Dang, Guorui Li, Shouqiong Liu, Chaibou Kadri,"Standardization of metal oxide sensor array using artificial neural networks through experimental design," Sensors and Actuators B, vol.177, pp.947-955, 2013.[paper],[code] (IF: 5.401)

[22] Lei Zhang*, F.C. Tian, L. Dang, G. Li, "A nove ANN ensemble and self-calibration model in electronic nose for concentration estimation,"IEEE CNCE, pp.114-116, 2013.[paper],[code]

[21] Lei Zhang*, F.C. Tian, S. Liu, J. Guo, B. Hu,Q. Ye, L. Dang, C. Kadri, J. Feng, "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.[paper],[code] (IF: 2.499)

[20] Lei Zhang*, Fengchun Tian, Shouqiong Liu, Lijun Dang,Xiongwei Peng, Xin Yin,"Chaotic time series prediction of e-nose sensor drift in embedded phase space," Sensors and Actuators B, vol.182, pp.71-79,2013.[paper],[code] (IF: 5.401)

[19] Lei Zhang*, F. Tian, L. Dang, G. Li, X. Peng, X. Yin, S. Liu, "A novel background interferences elimination method in electronic nose using pattern recognition," Sensors and Actuators A, vol.201, pp.254-263, 2013. [paper],[code] (IF: 2.499)

[18] C. Kadri, F. Tian, Lei Zhang,"Neural Network Ensembles for Online Gas Concentration Estimation Using an Electronic Nose," International Journal of Computer Science Issues, vol.10, pp.129-135, 2013.[paper],[code]

[17] C. Kadri, F. Tian, Lei Zhang, "Multi-objective Genetic Algorithm based on Selective Neural Networks Ensemble for Concentration Estimation of Indoor Air Pollutants Using Electronic Nose," International Journal of Computer Science Issues, vol.10, pp.105-112, 2013.[paper],[code]

Papers in 2012

[16] 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, vol.174, pp.114-125, 2012.[paper],[code] (IF: 5.401)

[15] F. Tian, C. Kadri, Lei Zhang,"A novel cost-effective portable electronic nose for indoor/in-car air quality monitoring," Proceedings of the International Conference on Computer Distributed Control System and Intelligent Environment Monitoring, pp.4-8, 2012.[paper],[code]

[14] Lei Zhang*, Fengchun Tian,"A Novel Chaotic Sequence Optimization Neural Network for Concentration Estimation of Formaldehyde by an Electronic Nose," IEEE CICN, pp. 856-859, 2012, Shanghai, Dec. [paper],[code]

[13] F. Tian, H. Li, Lei Zhang,"A Denosing Method based on PCA and ICA in Electronic Nose for Gases Quantification," J. Comp. Info. Syst.,vol.8, pp.5005-5015, 2012.[paper],[code]

[12] 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," J. Comp. Info. Syst.,vol.8, pp.275-282, 2012.[paper],[code]

[11] Lei Zhang*, Fengchun Tian, Shiyuan Wang, "A modified statistical optimal null filter method for protein coding regions recognition," Genomics, Proteomics & Bioinformatics, vol.10,pp.166-173, 2012.[paper],[code]

[10] Lei Zhang*, Fengchun Tian, Shiyuan Wang, Xiao Liu, "A novel coding method for gene mutation correction during protein translation process," Journal of Theoretical Biology, vol.296, pp.33-40, 2012.[paper],[code] (IF: 2.113)

[9] B. Zhu, J. Feng, J. Yang, Lei Zhang,"Multi-positive eye location based on complex background," Application Research of Computers, vol.29, pp.1977-1979, 2012.

[8] B. Zhu, J. Yang, N. Xu, Lei Zhang, "Face Recognition Based on Wavelet Transform and Improved KFD," Opto-Electronic Engineering, vol.39, pp.94-99, 2012.

[7] B. Zhu, G. Pei, Lei Zhang,"Spectrum Allocation Strategy Based on QoS Grading in Cognitive Radio," Computer Engineering, vol.38, pp.92-94, 2012.

[6] B. Zhu, J. Yang, M. Yun, Lei Zhang,"Integration of Global and Local Information for 3D Face Recognition," J. Opto.Laser,vol.23, pp.1977-1982, 2012.

[5] B. Zhu, G. Pei, Lei Zhang, "Spectrum Allocation with System Utility Maximization in Cognitive Radio Network," Computer Engineering, vol.38, pp.107-109, 2012.

[4] B. Zhu, M. Yun, M. Qian, Lei Zhang, "Power control algorithm with faster convergence based on non-cooperative game for cognitive networks," J. Comp. App. vol.37, pp.1823-1826, 2012.

[3] Y. Liao, S. Yang, X. Peng, H. Yang, Lei Zhang, "Statistic Guarantees of QoS in Wireless Asymmetric Relay Networks," Journal of Beijing University of Posts and Telecommunications, vol.35, pp.51-54, 2012.

Papers in 2011

[2] Lei 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. [paper],[code] (IF: 5.401)

[1] Lei 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.[paper],[code] (IF: 5.401)