Email: leizhang@cqu.edu.cn
职称职务：教授、博士生导师 
学科领域：信息与通信工程
招收博士研究生专业及研究方向：信息与通信工程
方向1：智能信息处理与模式识别
方向2：视觉理解与机器学习
方向3：深度学习与图像识别
招收硕士研究生专业：信息与通信工程、电子与通信工程
方向1：图像信息处理与识别
方向2：深度学习与大数据建模
方向3：生物信号感知与识别
实验室学术主页: http://www.leizhang.tk (LiVE Group)
欢迎对科学研究，特别是对人工智能、计算机视觉、机器学习、信号处理、大数据、智能感知等研究方向充满兴趣且有志高水平科学研究的优秀同学邮件交流。实验室支持优秀学生到国内外高校和知名企业短期实习、学术交流访问（research intern），培养科研兴趣、拓展学术视野。欢迎电子、通信、计算机、自动化、数学等领域的童鞋咨询和报考。实验室虽稍加严格，但总归是充实快乐的，唯有不负你所能，方可不负众所望，欢迎邮件联络。
n 个人简介
基本情况：张磊，教授，博士生导师。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，7月至8月，在清华大学深圳研究院作学术访问，8月至9月在哈尔滨工业大学深圳研究院作学术交流，2013年10月至2015年9月在香港理工大学电子计算学系从事博士后工作，2017年12月至2018年5月，在澳门大学计算机与信息工程系作访问学者。2015年10月至今，重庆大学教授、博士生导师。担任本科生《机器学习》（春）、《智能信息处理》（秋）和研究生《图像处理与识别》（春）专业课程的主讲教学。
学术成绩：近年来，一直从事计算机视觉、模式识别、机器学习、迁移学习、深度学习等人工智能算法理论与应用研究。承担国家自然科学基金、国家重点研发计划课题、重庆市人工智能重大项目课题以及多家知名IT企业等人工智能项目等20余项；共发表学术论文120余篇；出版英文学术专著1部。其中，以第一或通讯作者发表IEEE Transactions汇刊、中科院一区及CCF-A类论文70余篇，包括IEEE T-PAMI、T-IP、T-NNLS、T-CSVT、T-MM、CVPR、ICCV、ECCV、AAAI、IJCAI、ACM MM等，ESI高被引论文5篇，SCI他引1500余次，Google scholar 4000余次，重庆市自然科学优秀学术论文2篇，CCBR会议最佳论文奖1篇，国家发明专利17项。部分研究成果以第1完成人先后获得中国人工智能学会吴文俊人工智能自然科学奖、重庆市自然科学奖等省部级科技奖4项。实验室学术成果、各类开源算法模型、开源代码及博/硕研究生信息详细参见http://www.leizhang.tk。
学术任职：现担任多本国内外高水平SCI期刊编委，包括IEEE Transactions on Instrumentation and Measurement编委 (Associate Editor, 2020~2023)，Neural Networks编委(Associate Editor, 2020~2023)以及CAAI Transactions on Intelligent Technology（智能技术学报）青年编委，The Visual Computer期刊客座编委(Guest Editor)，Frontiers in Neurorobotics期刊客座编委(Guest Editor)，Journal of Electrical and Computer Engineering客座编委(Lead Guest Editor, 2017~2018)。曾担任ACM MM, CVPR, ICCV, AAAI，IJCAI, ICLR等20多个国际学术会议的领域主席(Area Chair)、高级程序主席(SPC)、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PC委员。担任中国计算机学会计算机视觉专委会走进高校系列报告会第48期的执行主席、中国图像图形学会“图像图形中国行”系列活动第22期的执行主席、中国计算机学会多媒体专委会走进高校的执行主席、Valse2019迁移学习与领域自适应论坛主席、Valse2020机器学习论坛主席、Valse2021弱监督学习论坛主席、世界人工智能大会出版主席、中国多媒体大会分论坛主席、VALSE资深领域主席委员等。中国计算机学会计算机视觉专委会委员、中国人工智能学会智能服务专委会常务委员、模式识别专委会委员，中国图象图形学会多媒体专委会委员、视觉大数据专委会委员、机器视觉专委会委员、图像视频通信专委会委员。国家自然科学基金委、阿里巴巴集团蚂蚁金服项目、教育部博士学位论文、中国博士后基金、学术桥国内高校人才引进等各类评审专家。
获奖荣誉：中国人工智能学会吴文俊人工智能优青奖、重庆市自然科学奖（第1完成人）、中国人工智能学会吴文俊人工智能自然科学奖（第1完成人）、重庆市十佳科技青年奖、ACM SIGAI Rising Star Award、香江学者奖（Hong Kong Scholar Award）、重庆市优秀博士论文奖、重庆市电子学会优秀科技工作者、重庆市自然科学优秀学术论文奖、教育部“博士学术新人奖”、CCBR国际会议最佳论文奖、重庆大学爱以森奖教金一等奖、重庆大学唐立新奖教金、重庆大学优秀青年教师奖、重庆大学优秀博士后、重庆大学“黄尚廉院士青年创新奖”等。
指导的多名博士和硕士获得研究生国家奖学金、重庆市优秀硕士论文、重庆大学优秀硕士论文、会议最佳论文奖等奖励和荣誉，多名硕士、博士毕业生分布在国内外知名院校攻读博士研究生、知名企业工作，以及高校任教。
n 学术专著:
[1] Lei Zhang*, Fengchun Tian, and David Zhang, “Electronic Nose: Algorithmic Challenges,” Springer, Dec 2018. Published. 339 pages. Online ISBN: 978-981-13-2167-2; Print ISBN: 978-981-13-2166-5. 学术专著
n 代表性论著（*通讯）
Selected Journal Papers:
[1] Lei Zhang*, Zhenwei He, Yi Yang, Liang Wang, and Xinbo Gao, “Tasks Integrated Networks: Joint Detection and Retrieval for Image Search,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 1, 2022. (一区，CCF-A)
[2] Lei Zhang*, Ji Liu, Fuxiang Huang, Yang Yang, and David Zhang, “Deep-Like Hashing-in-Hash for Visual Retrieval: An Embarrassingly Simple Method,” IEEE Transactions on Image Processing, vol. 29, pp. 8149-8162, 2020. (一区, CCF-A)
[3] Shanshan Wang, Lei Zhang*, Wangmeng Zuo, and Bob Zhang, “Class-specific Reconstruction Transfer Learning for Visual Recognition Across Domains,” IEEE Transactions on Image Processing, vol. 29, pp. 2424-2438, 2019. (一区, CCF-A)
[4] Lei Zhang*, Ji Liu, Bob Zhang, David Zhang, and Ce Zhu, “Deep Cascade Model based Face Recognition: When Deep-layered Learning Meets Small Data,” IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 1016-1029, 2019. (一区, CCF-A)
[5] Lei Zhang*, David Zhang, “Robust Visual Knowledge Transfer via Extreme Learning Machine based Domain Adaptation,” IEEE Transactions on Image Processing, vol. 25, no. 10, pp. 4959-4973, Oct 2016. ESI高被引论文 (一区, CCF-A)
[6] Lei Zhang*, Wangmeng Zuo, David Zhang, “LSDT: Latent Sparse Domain Transfer Learning for Visual Adaptation,” IEEE Transactions on Image Processing, vol. 25, no. 3, pp. 1177-1191, March 2016. ESI高被引论文 (一区, CCF-A)
[7] Fuxiang Huang, Lei Zhang*, and Xinbo Gao, “Domain Adaptation Preconceived Hashing for Unconstrained Visual Retrieval,” IEEE Transactions on Neural Networks and Learning Systems, 2021. Accept. (一区)
[8] Lei Zhang*, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, and David Zhang, “Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation,” IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no. 12, pp. 3759-3773, 2019. (一区)
[9] Lei Zhang*, Jingru Fu, Shanshan Wang, David Zhang, ZhaoYang Dong, C.L. Philip Chen, “Guide Subspace Learning for Unsupervised Domain Adaptation,” IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 9, pp. 3374-3388, 2020. (一区)
[10] Qingyan Duan and Lei Zhang*, “Look More Into Occlusion: Realistic Face Frontalization and Recognition with BoostGAN,” IEEE Transactions on Neural Networks and Learning Systems, 2020 Accept. (一区)
[11] Lei Zhang*, David Zhang, “Evolutionary Cost-sensitive Extreme Learning Machine,” IEEE Transactions on Neural Network and Learning Systems, vol. 28, no. 12, pp. 3045-3060, 2017. ESI高被引论文、热点论文 (一区)
[12] 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, vol. 29, no. 7, pp. 3176-3187, 2017. (一区)
[13] Zhenwei He, Lei Zhang*, Yi Yang, and Xinbo Gao, “Partial Alignment for Object Detection in the wild,” IEEE Transactions on Circuits and Systems for Video Technology, 2021. Accept. (一区)
[14] Qingyan Duan, Lei Zhang*, and Xinbo Gao, “Simultaneous Face Completion and Frontalization via Mask Guided Two-Stage GAN,” IEEE Transactions on Circuits and Systems for Video Technology, 2021. Accept. (一区)
[15] Lei Zhang*, Ji Liu, Yang Yang, Fuxiang Huang, Feiping Nie, and David Zhang, “Optimal Projection Guided Transfer Hashing for Image Retrieval,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 30, no. 10, pp. 3788-3802, Oct 2020. (一区)
[16] Lei Zhang*, Fangyi Liu, and David Zhang, “Adversarial View Confusion Feature Learning for Person Re-identification,” IEEE Transactions on Circuits and Systems for Video Technology, 2020. Accept. (一区)
[17] Fushuo Huo, Xuegui Zhu, and Lei Zhang, “Efficient Context-Guided Stacked Refinement Network for RGB-T Salient Object Detection,” IEEE Transactions on Circuits and Systems for Video Technology, 2021. Accept. (一区)
[18] Lei Zhang*, Xuehan Wang, Guangbin Huang, Tao Liu, and Xiaoheng Tan, “Taste Recognition in E-Tongue using Local Discriminant Preservation Projection,” IEEE Transactions on Cybernetics, vol. 49, no. 3, pp. 947-960, Mar 2019. (一区)
[19] Lei Zhang*, Qingyan Duan, David Zhang, Wei Jia, and Xizhao Wang, “AdvKin: Adversarial Convolutional Network for Kinship Verification,” IEEE Transactions on Cybernetics, Accept. 2020. (一区)
[20] Wenli Song, Lei Zhang*, and Xinbo Gao, “Compound Projection Learning for Bridging Seen and Unseen Objects,” IEEE Transactions on Multimedia, 2021. Accept (一区)
[21] Lei Zhang*, David Zhang, “Visual Understanding via Multi-Feature Shared Learning with Global Consistency,” IEEE Transactions on Multimedia, vol. 18, no. 2, pp. 247-259, Feb 2016. (一区)
[22] Lei Zhang*, David Zhang, “Efficient Solutions for Discreteness, Drift, Disturbance (3D) in Electronic Olfaction” IEEE Transactions on Systems, Man, Cybernetics: Systems, vol. 48, no. 2, pp. 242-254, 2017. (一区)
[23] 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, vol. 49, no. 10, pp. 1922-1932, 2019. (一区)
[24] 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, vol. 66, no. 7, pp. 1679-1692, July 2017. (JCR一区)
[25] Lei Zhang* and David Zhang, “Evolutionary Cost-sensitive Discriminative Subspace Learning with application to Vision and Olfaction,” IEEE Transactions on Instrumentation and Measurement, vol. 66, no. 2, pp. 198-211, Feb 2017. (JCR一区)
[26] 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. ESI高被引论文 (JCR一区)
[27] Lei Zhang*, Fengchun Tian, “Performance Study of Multilayer Perceptrons in a Low-Cost Electronic Nose,” IEEE Transactions on Instrumentation & Measurement, vol. 63, no. 7, pp. 1670-1679, July 2014. (JCR一区)
[28] Wenli Song and Lei Zhang*, “Semantic-Visual Combination Propagation Network for Zero-shot Learning,” IEEE Transactions on Circuits and Systems II: Express Briefs, 2021. Accept.
[29] Jingru Fu and Lei Zhang*, “Reliable Domain Adaptation with Classifiers Competition for Image Classification,” IEEE Transactions on Circuits and Systems II: Express Briefs, 2020. Accept.
[30] Shanshan Wang and Lei Zhang*, “Regularized Deep Transfer Learning: When CNN Meets KNN,” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 67, no. 10, pp. 2269-2273, 2020.
[31] 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 Transactions on Computational Biology and Bioinformatics, vol. 15, no. 3, pp. 802-812, 2018.
[32] 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.
[33] 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.
[34] Tan Guo, Fulin Luo, Lei Zhang, Xiaoheng Tan, and Juhua Liu, "Target Detection in Hyperspectral Imagery via Sparse and Dense Hybrid Representation," IEEE Geoscience and Remote Sensing Letters, 2019. Accept.
[35] Tan Guo, Fulin Luo, Lei Zhang, Bob Zhang, Xiaoheng Tan, Xiaocheng Zhou, Learning Structurally Incoherent Background and Target Dictionaries for Hyperspectral Target Detection, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020. Accept.
[36] 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. (一区)
[37] Lei Zhang* and David Zhang, "MetricFusion: Generalized Metric Swarm Learning for Similarity Measure," Information Fusion, vol. 30, pp. 80-90, 2016. (一区)
[38] Ni Xiao, Lei Zhang*, Xin Xu, Tan Guo and Huimin Ma, "Label Disentangled Analysis for Unsupervised Visual Domain Adaptation," Knowledge based Systems, 2021. Accept. (一区)
[39] Shanshan Wang, Lei Zhang*, and Jingru Fu, "Adversarial Transfer Learning for Cross-domain Visual Recognition," Knowledge-based Systems, 2020. Accept. (一区)
[40] Tan Guo, Lei Zhang, Xiaoheng Tan, Liu Yang, Zhifang Liang, "Data Induced Masking Representation Learning for Face Data Analysis," Knowledge based Systems, vol. 177, pp. 82-93, Aug 2019. (一区)
[41] 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. (一区)
[42] Zhenwei He, Lei Zhang*, and Fangyi Liu, "DiscoStyle: Multi-level Logistic Ranking for Personalized Image Style Preference Inference," International Journal of Automation and Computing (IJAC), 2020. Accept. [Top-10 Paper in IJAC2020]
[43] 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. (一区)
[44] 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. (一区)
[45] 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: Chemical, vol.177, pp.947-955, 2013. (一区)
[46] 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: Chemical, vol.182, pp.71-79,2013. (一区)
[47] 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: Chemical, vol. 160, pp.760-770, 2011. (一区)
[48] 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: Chemical, vol. 160, pp.899-909, 2011. (一区)
Selected Conference Papers:
[49] Keyang Wang and Lei Zhang*, "Reconcile Prediction Consistency for Balanced Object Detection," IEEE/CVF International Conference on Computer Vision (ICCV), 2021. Accept. (CCF-A)
[50] Ni Xiao and Lei Zhang*, "Dynamic Weighted Learning for Unsupervised Domain Adaptation," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2021. Accept. (CCF-A)
[51] Keyang Wang, Lei Zhang*, Wenli Song, Qinghai Lang, and Lingyun Qin, "Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection," IEEE International Conference on Image Processing (ICIP), 2021. Accept.
[52] Fuxiang Huang, Lei Zhang*, Yang Yang, and Xichuan Zhou, "Probability Weighted Compact Feature for Domain Adaptive Retrieval," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2020. June 14-19, Seattle, USA. (CCF-A)
[53] Keyang Wang and Lei Zhang*, "Single-Shot Two-Pronged Detector with Rectified IoU Loss," ACM Multimedia (MM), 2020. Accept. (CCF-A) [Oral]
[54] Zhongzhou Zhang and Lei Zhang*, "Hard Negative Samples Emphasis Tracker without Anchors," ACM Multimedia (MM), 2020. Accept. (CCF-A)
[55] Zhipu Liu, Lei Zhang*, and Yang Yang, "Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification," ACM Multimedia (MM), 2020. Accept. (CCF-A)
[56] Liang Sun, Xiang Guan, Yang Yang, and Lei Zhang, "Text-Embedded Bilinear Model for Fine-Grained Visual Recognition," ACM Multimedia (MM), 2020. Accept. (CCF-A)
[57] Zhenwei He and Lei Zhang*, "Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN," European Conference on Computer Vision (ECCV), 2020. Accept.
[58] Shanshan Wang and Lei Zhang*, "Self-adaptive Re-weighted Adversarial Domain Adaptation," The 29th International Joint Conference on Artificial Intelligence (IJCAI), July 11-17, Yokohama, Japan, 2020. Accept. (CCF-A)
[59] Yingguo Xu, Lei Zhang*, and Qingyan Duan, "Domain Private and Agnostic Feature for Modality Adaptive Face Recognition," International Joint Conference on Biometrics (IJCB), 2020. Accept.
[60] Zhenwei He and Lei Zhang*, "Multi-adversarial Faster-RCNN for Unrestricted Object Detection," IEEE International Conference on Computer Vision (ICCV), 2019. Accept. Oct 27-Nov 2, 2019, Seoul Korea. (CCF-A)
[61] Fangyi Liu and Lei Zhang*, "View Confusion Feature Learning for Person Re-identification," IEEE International Conference on Computer Vision (ICCV), 2019. Accept. Oct 27-Nov 2, 2019, Seoul Korea. (CCF-A)
[62] Ji Liu and Lei Zhang*, "Optimal Projection Guided Transfer Hashing for Image Retrieval," The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. Accept. Honolulu, Hawaii, USA. (CCF-A) [Oral]
[63] Xichuan Zhou, Lang Xu, Shujun Liu, Yingcheng Lin, Lei Zhang, and Cheng Zhuo, "An Efficient Compressive Convolutional Network for Unified Object Detection and Image Compression," The 33rd AAAI Conference on Artificial Intelligence (AAAI), 2019. Accept. Honolulu, Hawaii, USA. (CCF-A)
[64] S. 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.
[65] Q. 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.
[66] Q. 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.
[67] Zhenwei He and Lei Zhang*, "End-to-End Detection and Re-identification Integrated Net for Person Search," The 14th Asian Conference on Computer Vision (ACCV), pp. 349-364, 2018. Berth, Australia.
