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 会员, ACM会员, 中国计算机学会CCF会员, 计算机视觉专委会委员,中国人工智能学会CAAI会员,智能服务专委会委员 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,从事深度机器学习、人工智能与感知学习、信号处理、视觉大数据建模(深度学习、模式识别、计算视觉、图像/视频理解、仿生嗅觉、雷达目标识别等)的研究与开发。联系方式:leizhang@cqu.edu.cn

[15/09/2017] I am elected as the Smart Services Professional Committee of Chinese Association for Artificial Intelligence (CAAI).

[07/09/2017] Editoral: Lei Zhang, Sunil Kr. Jha, Z. Yang, Z. Zhao, and Bhupendra Nath Tiwari,  "Machine Intelligence in Signal Sensing, Processing, and Recognition," Journal of Electrical and Computer Engineering, 2017.

[23/08/2017] 1 paper "Class-specific Reconstruction Transfer Learning via Sparse Low-rank Constraint" is accepted in IEEE Int'Conf. Computer Vision (ICCV), Workshop on CEFRL: Compact and Efficient Feature Representation and Learning in Computer Vision, Venice, Italy, Oct.2017.

[22/08/2017] 1 paper "From Face Recognition to Kinship Verification: An Adaptation Approach" is accepted in IEEE Int'Conf. Computer Vision (ICCV), Workshop on Analysis and Modeling of Faces and Gestures (AMFG), Venice, Italy, Oct.2017.  

[19/08/2017] 1 paper "AdvNet: Adversarial Contrastive Residual Net for 1 Million Kinship Recognition" is accepted as a Full paper in ACM MM 2017. This paper is for RFIW Challenge.

[17/08/2017] 1 project is supported by National Natural Science Foundation of China (NSFC), $660K, 2017.

[15/08/2017] 1 paper "Adv-Kin: An Adversarial Convolutional Network for Kinship Verification" is accepted in CCBR, 2017.

[05/08/2017] 1 paper "Domain Class Consistency based Transfer Learning for Image Classification Across Domains," is accepted in Information Sciences, 2017.

[28/07/2017] 1 paper "Hierarchical Pruning Discriminative Extreme Learning Machine" is accepted in ELM, 2017.

[17/07/2017] 1 paper "Sparse Softmax Vector Coding based Deep Cascade Model" is accepted in CCCV, 2017. Acceptance rate: 42% (196/464).

[24/06/2017] 1 paper "Anti-Drift in E-nose: A Subspace Projection Approach with Drift Reduction" is accepted in Sensors and Actuators B: Chemical, 2017.

[19/06/2017] 1 paper "Block-diagonal Constrained Low-rank and Sparse Graph for Discriminant Analysis of Image Data" is accepted in Sensors, 2017.

[15/06/2017] 1 paper "DANoC: An Efficient Algorithm and Hardware Co-design of Deep Neural Networks on Chip" is accepted in IEEE Tranactions on Neural Networks and Learning Systems, 2017.

[25/04/2017] 2 papers are accepted in Cognitive Computation, 2017.

[ICONIP2017 Call for Papers] I have organized an Invited Session (Chair: Lei Zhang and Shenglan Liu) on "Transfer Learning for Large-scale Domain Data (NIPS-04)" in ICONIP2017 (Neural Information Processing), Nov 14-18, Guangzhou, China. Welcome to submit your new research papers. Submission Deadline: June 15, 2017; Notice of Acceptance: Jul 31, 2017.

[08/04/2017] One paper "L. Zhang, D. Zhang, M.M. Sun, and F.M. Chen, Facial Beauty Analysis based on Geometric Feature: Toward Attractiveness Assessment Application," is accepted in Expert Systems with Applications, 2017. [paper link]

[06/04/2017] I will give an invited talk on "Transfer learning in data mining" in FSDM2017, Taiwan.

[31/03/2017] One paper "L. Zhang and P. Deng, Abnormal Odor Detection in Electronic Nose via Self-expression Inspired Learning Machine," is accepted in IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017. [paper link]

[24/03/2017] One paper "A Spatial-Temporal Method to Detect Global Influenza Epidemics Using Heterogeneous Data Collected from the Internet," is accepted in IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2017.

[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], [paper link]

[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. [paper link]

[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]

[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]

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:

[14] X. Zhou, S. Li, F. Tang, S. Hu, Z. Lin, and L. 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), vol. -, no. -, pp. -, 2017. in press. (IF: 6.108)

[13] L. Zhang* and P. Deng, "Abnormal Odor Detection in Electronic Nose via Self-expression Inspired Extreme Learning Machine," IEEE Transactions on Systems, Man, and Cybernetics: Systems (T-SMCA), vol. -, no. -, pp. -, 2017. in press. (IF: 2.35)

[12] 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. 66, no. 7, pp. 1679-1692, 2017. (IF: 2.456)

[11] 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. (IF: 2.456)

[10] L. Zhang* and D. Zhang, "Evolution