[name] [name]
[2022], [2021], [2020], [2019], [2018], [2017], [2016], [2015], [2014], [2013], [2012], [2011]

Full Publications

(* denotes corresponding author)

Technical Report

[163] Lei Zhang, "Transfer Learning: 10 Concerns-Annual Progress Review," Tech. Rep., VALSE, Hangzhou, China, 2021. [slides]

Invited Blog

[162] Lei Zhang, "Give artificial taste and olfactory intelligence for automatic wine analysis.", Science & Wine, invited by Prof Paula Silva, University of Porto, Oct 2018.

Book/Monographs

[161] Lei Zhang*, Fengchun Tian, and David Zhang, "Electronic Nose: Algorithmic Challenges", Springer, Singapore, 2018. [339 pages]. Online ISBN: 978-981-13-2167-2; Print ISBN: 978-981-13-2166-5; [download]

Book Chapters

[160] Pengfei Zhu, Longyin Wen, Dawei Du, Bian Xiao, Haibin Ling, Qinghua Hu,,,, Lei Zhang, et al., "VisDrone-DET2018: The Vision Meets Drone Object Detection in Image Challenge Results," Computer Vision-ECCV 2018 Workshops.

[159] Dawei Du, Pengfei Zhu,,,,, Lei Zhang, "VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results," Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2019.

Papers in reprints

[158] Keyang Wang, Lei Zhang*, Wenli Song, Qinghai Lang, and Lingyun Qin "Layer-wise Customized Weak Segmentation Block and AIoU Loss for Accurate Object Detection," arXiv, 2021. [paper] (accepted by ICIP 2021)

[157] Keyang Wang and Lei Zhang*, "Reconcile Prediction Consistency for Balanced Object Detection," arXiv, 2021. [paper] (accepted by ICCV 2021)

[156] Liyuan Zhang, Yuhang Zhou and Lei Zhang*, "On the Robustness of Domain Adaption to Adversarial Attacks," arXiv, 2021. [paper]

[155] Zhongzhou Zhang and Lei Zhang*, "Domain Adaptive SiamRPN++ for Object Tracking in the Wild," arXiv, 2021. [paper] (The first domain adaptive object tracking model)

[154] Ni Xiao and Lei Zhang*, "Dynamic Weighted Learning for Unsupervised Domain Adaptation," arXiv, 2021. [paper] (accepted by CVPR2021)

[153] Keyang Wang and Lei Zhang*, "Single-Shot Two-Pronged Detector with Rectified IoU Loss," arXiv, 2020. [paper] (accepted by ACM MM2020, Oral paper) (An analytically-determined RIoU loss, which outperforms IoU, GIoU and CIoU losses)

[152] Zhenwei He and Lei Zhang*, "Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN," arXiv, 2020. [paper] (accepted by ECCV2020) (SOTA performance on domain adaptive object detection)

[151] Shanshan Wang and Lei Zhang*, "Self-adaptive Re-weighted Adversarial Domain Adaptation," arXiv, 2020. [paper] (accepted by IJCAI2020)

[150] Fuxiang Huang, Lei Zhang*, Yang Yang, and Xichuan Zhou, "Probability Weighted Compact Feature for Domain Adaptive Retrieval," arXiv, 2020. [paper]. (accepted by CVPR2020) (The first domain adaptive hashing retrieval model)

[149] Fangyi Liu and Lei Zhang*, "View Confusion Feature Learning for Person Re-identification," arXiv, 2019. [paper]. (accepted by ICCV2019)

[148] Zhenwei He and Lei Zhang*, "Multi-adversarial Faster-RCNN for Unrestricted Object Detection," arXiv, 2019. [paper link]. (accepted by ICCV2019)

[147] Lei Zhang*, "Transfer Adaptation Learning: A Decade Survey," arXiv, 2019. [paper link], (this paper surveys the advances and proposes a new taxonomy in transfer learning and domain adaptation for computer vision tasks in the past decade)

[146] Lei Zhang*, Shanshan Wang, Guang-Bin Huang, Wangmeng Zuo, Jian Yang, and David Zhang, "Manifold Criterion Guided Transfer Learning via Intermediate Domain Generation," arXiv, 2019. [paper link] (accepted by IEEE Trans. NNLS)

[145] Ji Liu and Lei Zhang*, "Optimal Projection Guided Transfer Hashing for Image Retrieval," arXiv, 2019. [paper link] (accepted by AAAI2019)

[144] Qingyan Duan and Lei Zhang*, "BoostGAN for Occlusive Profile Face Frontalization and Recognition," arXiv, 2019. [paper link], (this paper proposes to synthesize and recognize faces under large pose variation and occlusions simultaneously, to the best of our knowledge, this is the first work for frontalization and recognition with occlusions via GAN)

[143] Zhenwei He, Lei Zhang*, and Wei Jia, "End-to-End Detection and Re-identification Integrated Net for Person Search," arXiv, 2019. (accepted by ACCV2018)

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

[141] 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

[140] 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

[139] 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

[138] 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

[137] 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 2022

[136] Wenxu Shi, Lei Zhang*, Weijie Chen, and Shiliang Pu, "Universal Domain Adaptive Object Detector," ACM International Conference on Multimedia (ACM MM), 2022. Accept. [paper] (CCF-A)

[135] Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang Lei Zhang, Mingli Song, Di Xie, and Shiliang Pu, "Attention Diversification for Cross-domain Generalization," European Conference on Computer Vision (ECCV), 2022. Accept.

[134] Lei Zhang* and Xinbo Gao, "Transfer Adaptation Learning: A Decade Survey," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], 2022. Accept. (IF: 10.451)

[133] Tan Guo, Xiaoheng Tan, Liu Yang, Zhifang Liang, Bob Zhang, and Lei Zhang, "Domain Adaptive Subspace Transfer Model for Sensor Drift Compensation in Biologically Inspired Electronic Nose," Expert Systems with Applications, 2022. (IF: 8.665)

[132] Wen Zhang, Lingfei Deng, Lei Zhang, and Dongrui Wu, "A Survey on Negative Transfer," IEEE/CAA Journal of Automatica Sinica, 2022. Accept. (IF: 5.129)

[131] Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, and Shiliang Pu, "Learning Domain Adaptive Object Detection with Probabilistic Teacher," International Conference on Machine Learning (ICML), 2022. Accept. (CCF-A)

[130] Xiaowei Fu, Fuxiang Huang, Yuhang Zhou, Huimin Ma, Xin Xu, and Lei Zhang*, "Cross-Modal Cross-Domain Dual Alignment Network for RGB-Infrared Person Re-Identification," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], 2022. Accept. [Github source code], (IF: 4.685)

[129] Wenli Song, Lei Zhang*, and Xinbo Gao, "Compound Projection Learning for Bridging Seen and Unseen Objects," IEEE Transactions on Multimedia [T-MM], 2022. Accept. (IF: 6.513) [paper]

[128] 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 [T-CSVT], 2022. Accept. (IF: 4.685) [paper]

[127] Wenli Song and Lei Zhang*, "Semantic-Visual Combination Propagation Network for Zero-shot Learning," IEEE Transactions on Circuits and Systems II: Express Briefs [T-CAS], 2022. Accept. (IF: 3.292) [paper]

[126] Shanshan Wang, Lei Zhang*, Weihua Chen, Fan Wang, and Hao Li, "Refining Pseudo Labels for Unsupervised Domain Adaptive Re-Identification," Knowledge-Based Systems, 2022. Accept. (IF: 8.038)

Papers in 2021

[125] 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 [T-CSVT], 2021. Accept. (IF: 4.685) [paper].

[124] Keyang Wang and Lei Zhang*, "Reconcile Prediction Consistency for Balanced Object Detection," IEEE/CVF International Conference on Computer Vision (ICCV), 2021. Accept. (CCF-A), [paper], [github source code]

[123] Fuxiang Huang, Lei Zhang*, and Xinbo Gao, "Domain Adaptation Preconceived Hashing for Unconstrained Visual Retrieval," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], 2021. Accept. (IF: 8.8) [paper], [source code]

[122] Fushuo Huo, Xuegui Zhu, Lei Zhang*, Qifeng Liu, Yu Shu, "Efficient Context-Guided Stacked Refinement Network for RGB-T Salient Object Detection," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], vol. 32, no. 5, pp. 3111-3124, May 2022. (IF: 4.685) [paper], [source code]

[121] Zhifang Liang, Lei Zhang, Fengchun Tian, Congzhe Wang, Liu Yang, Tan Guo, and Lian Xiong, "A Novel WWH Problem-based Semi-Supervised Online method for Sensor Drift Compensation in E-nose," Sensors and Actuators B: Chemical, vol. 349, Dec 2021. (IF: 7.46) [paper]

[120] Ni Xiao, Lei Zhang*, Xin Xu, Tan Guo and Huimin Ma, "Label Disentangled Analysis for Unsupervised Visual Domain Adaptation," Knowledge based Systems, vol. 229, Oct 2021. (IF: 8.083) [paper], [source code]

[119] 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), [paper], [Source code]

[118] 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. [paper]

Papers in 2020

[117] 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.[paper]

[116] Keyang Wang and Lei Zhang*, "Single-Shot Two-Pronged Detector with Rectified IoU Loss," ACM Multimedia (MM), 2020. Accept. (acceptance rate: 27.8%) (CCF-A), [Oral] [paper]

[115] Zhongzhou Zhang and Lei Zhang*, "Hard Negative Samples Emphasis Tracker without Anchors," ACM Multimedia (MM), 2020. Accept. (acceptance rate: 27.8%) (CCF-A) [paper]

[114] Zhipu Liu, Lei Zhang*, and Yang Yang, "Hierarchical Bi-Directional Feature Perception Network for Person Re-Identification," ACM Multimedia (MM), 2020. Accept. (acceptance rate: 27.8%) (CCF-A) [paper]

[113] Liang Sun, Xiang Guan, Yang Yang, and Lei Zhang, "Text-Embedded Bilinear Model for Fine-Grained Visual Recognition," ACM Multimedia (MM), 2020. Accept. (acceptance rate: 27.8%) (CCF-A)

[112] 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 [T-IP], vol. 29, pp. 8149-8162, 2020. (IF: 9.34) (CCF-A) [paper]

[111] 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 [T-PAMI], vol. 44, no. 1, pp. 456-473, Jan 2022. (IF: 17.861) (CCF-A) [paper], [Github source code]

[110] Shanshan Wang, Lei Zhang*, and Jingru Fu, "Adversarial Transfer Learning for Cross-domain Visual Recognition," Knowledge-based Systems, vol. 204, Sep 2020. (IF: 5.921) [paper]

[109] Zhenwei He and Lei Zhang*, "Domain Adaptive Object Detection via Asymmetric Tri-way Faster-RCNN," European Conference on Computer Vision (ECCV), 2020. Accept. (acceptance rate: 27%) [paper], [Source code]

[108] 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 [T-CSVT], vol. 31, no. 4, pp. 1490-1502, April 2021. [paper], [Source code] (IF: 4.046)

[107] 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), vol. 17, pp. 637-651, 2020. [Top-10 Paper in IJAC2020] [paper]

[106] Tan Guo, Fulin Luo, Lei Zhang, Bob Zhang, Xiaoheng Tan, and 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

[105] 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) (Acceptance rate: 12.6%)

[104] Qingyan Duan and Lei Zhang*, "Look More Into Occlusion: Realistic Face Frontalization and Recognition with BoostGAN," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 32, no. 1, pp. 214-228, Jan 2021. (IF: 11.683). [paper]

[103] 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. Accept. [paper], [Github source code]. June 14-19, Seattle, USA. (CCF-A) (Acceptance rate: 22%)

[102] Jingru Fu and Lei Zhang*, "Reliable Domain Adaptation with Classifiers Competition for Image Classification," IEEE Transactions on Circuits and Systems II: Express Briefs [T-CAS], vol. 67, no. 11, pp. 2802-2806, 2020. [Github source code] (IF: 3.25)

[101] Lei Zhang*, Qingyan Duan, David Zhang, Wei Jia, Xizhao Wang, "AdvKin: Adversarial Convolutional Network for Kinship Verification," IEEE Transactions on Cybernetics [T-CYB], vol. 51, no. 12, pp. 5883-5896, Dec 2021. (IF: 10.387). [paper], [Github source code]

[100] Lei Zhang*, Jingru Fu, Shanshan Wang, David Zhang, ZhaoYang Dong, and C.L. Philip Chen, "Guide Subspace Learning for Unsupervised Domain Adaptation," IEEE Transactions on Neural Networks and Learning Systems [T-NNLS], vol. 31, no. 9, pp. 3374-3388, Sep 2020. (IF: 11.683), [paper], [paper], [Github source code]

[99] 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 [T-CSVT], vol. 30, no. 10, pp. 3788-3802, Oct 2020. (IF: 4.046), [paper], [Github source code]

[98] Shanshan Wang, Lei Zhang*, Wangmeng Zuo, and Bob Zhang, "Class-specific Reconstruction Transfer Learning for Visual Recognition Across Domains,"IEEE Transactions on Image Processing [T-IP], vol. 29, pp. 2424-2438, Nov 2019. (CCF-A). (IF: 6.79), [paper], [Github source code]

[97] Shanshan Wang and Lei Zhang*, "Regularized Deep Transfer Learning: When CNN Meets kNN," IEEE Transactions on Circuits and Systems II: Express Briefs [T-CAS], vol. 67, no. 10, pp. 2269-2273, Oct 2020. (IF: 3.25), [paper]

[96] Zheng Wang, Lin Zuo, Jing Ma, Si Chen, Jingjing Li, Zhao Kang and Lei Zhang, "Exploring nonnegative and low-rank correlation for noise-resistant spectral clustering," World Wide Web (WWW), 2020. Accept.

Papers in 2019

[95] Zhenwei He and Lei Zhang*, "Multi-adversarial Faster-RCNN for Unrestricted Object Detection," IEEE/CVF International Conference on Computer Vision (ICCV), 2019. Accept. Oct 27-Nov 2, 2019, Seoul Korea. (CCF-A). [paper], [Github source code] (Acceptance rate: 25%)

[94] Fangyi Liu and Lei Zhang*, "View Confusion Feature Learning for Person Re-identification," IEEE/CVF International Conference on Computer Vision (ICCV), 2019. Accept. Oct 27-Nov 2, 2019, Seoul Korea. (CCF-A). [paper], [Github source code] (Acceptance rate: 25%)

[93] Zhipu Liu and Lei Zhang*, "SliceNet: Mask Guided Efficient Feature Augmentation for Attention-Aware Person Re-Identification," International Conference on Intelligence Science and Big Data Engineering (IScIDE), 2019. [paper]. [Oral]. Accept.

[92] Jingru Fu and Lei Zhang*, "Reliable Domain Adaptation with Classifiers Competition," International Conference on Intelligence Science and Big Data Engineering (IScIDE), 2019. [paper]. Accept.

[91] Wenli Song, Lei Zhang*, and Jingru Fu, "Embarrassingly Easy Zero-Shot Image Recognition," The 14th Chinese Conference on Biometric Recognition (CCBR), 2019. [paper]. Accept.

[90] 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 [T-IP], vol. 29, no. 1, pp. 1016-1029, 2020. [paper], [Github source code] (IF: 6.79). (CCF-A). (A perspective that deep-layered learning does not have to be convolutional neural network with back-propagation is consolidated.)

[89] 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 [T-NNLS], vol. 30, no. 12, pp. 3759-3773, 2019. (IF: 11.683) [paper], [Github source code], (A new criterion for measuring domain discrepancy instead of MMD is proposed for cross-domain image classification)

[88] 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. (IF: 3.534), [paper]

[87] 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. [paper], [Github source code]. (Acceptance rate: 16.2%). (CCF-A), [Oral], (A new guiding transfer hashing learning model is proposed for cross-domain image retrieval)

[86] 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. [paper]. (Acceptance rate: 16.2%). (CCF-A)

[85] Xichuan Zhou, Nian Liu, Fang Tang, Yingjun Zhao, Kai Qin, Lei Zhang, and Dong Li, “A deep manifold learning approach for spatial-spectral classification with limited labeled training samples,” Neurocomputing, vol. 331, pp. 138-149, Feb 2019. (IF: 4.072)

[84] 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. (IF: 5.101). [paper]

[83] Tan Guo, Lei Zhang, Xiaoheng Tan, Liu Yang, Zhiwei Guo and Fupeng Wei, "CoLR: Classification-oriented Local Representation for Image Recognition," Complexity, vol. 2019, pp. 1-17, 2019. (IF: 1.829). [paper]

Papers in 2018

[82] 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. [paper]. (Acceptance rate: 28%), (To the best of our knowledge, this is the 4th paper for person search, a joint framework of pedestrian detection and re-identification)

[81] Chao Yin, Lei Zhang*, and Ji Liu, "Pixel Saliency based Encoding for Fine-Grained Image Classification," The 1st Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2018. Accept. [paper]

[80] Shanshan Wang and Lei Zhang*, "LSTN: Latent Subspace Transfer Network for Unsupervised Domain Adaptation," The 1st Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2018. Accept. [paper]

[79] Tan Guo and Lei Zhang, "Extreme Latent Representation Learning for Visual Classification,"ELM, 2018.

[78] Jingru Fu, Lei Zhang*, Bob Zhang, and Wei Jia, "Guided Learning: A New Paradigm For Multi-task Classification," The 13th Chinese Conference on Biometric Recognition (CCBR), pp. 239-246, 2018. Accept. [Oral]. [paper], [Github source code]

[77] 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], vol. 49, no. 3, pp. 947-960, Mar 2019. (IF: 10.387). [paper], [Data and Code are available here]

[76] 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, vol. 49, pp: 203-226, 2019. (IF: 1.620). [paper]

[75] Lei Zhang*, Jingru Fu, ShanshanWang, David Zhang, ZhaoYang Dong, and C.L. Philip Chen, "Guide Learning: Heterogeneous Subspace Unification Toward Cross-domain Recognition," IEEE Transactions on Neural Networks and Learning Systems, 2018. in review. [Github source code](IF: 11.683)

[74] 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]

[73] 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.

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], [ESI Highly Cited Paper]

[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. (CCF-A). [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. (CCF-A). [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. (CCF-A). [paper], [Github source code]

[68] Qingyan Duan, Lei Zhang*, and Wei Jia, "Adv-Kin: An Adversarial Convolutional Network for Kinship Verification," The 12th Chinese Conference on Biometric Recognition (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: 5.524)

[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," The 1st Chinese Conference on Computer Vision (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: 6.393)

[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], vol. 29, no. 7, pp. 3176-3187, 2018. [paper] (IF: 11.683)

[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: 4.287)

[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: 4.287)

[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: 4.292)

[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], vol. 49, no. 10, pp. 1922-1932, 2019. [link], [paper], [source code](IF: 7.351)

[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: 4.072)

[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: 3.067)

[55] Lei Zhang* and David Zhang, "Evolutionary 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: 3.067)

[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], vol. 15, no. 3, pp. 802-812, 2018. [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, "An Electronic Nose Based Beverage Identification by an Improved Fisher Discriminate Analysis Method,"International Journal of Simulation--Systems, Science & Technology, vol. 18, no. 2, pp. 1-6, 2017.

[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: 11.683) [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: 7.351)

[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. (CCF-A). [paper],[source code], [supp](IF: 6.79) [ESI Highly Cited Paper]

[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: 3.076)

[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: 6.393)

[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. (CCF-A). [paper], [source code] (IF: 6.79) [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: 12.975)

[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: 5.452)

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: 6.393)

[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: 5.3)

[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: 3.067)

[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: 6.393)

[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: 6.393)

[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: 6.393)

[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: 6.393)