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Selected Publications

(* denotes corresponding author)

Selected Journal Papers

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]

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)

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)

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].

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: 10.8) [paper], [source code]

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)

Fushuo Huo, Xuegui Zhu, Lei Zhang, et al., "Efficient Context-Guided Stacked Refinement Network for RGB-T Salient Object Detection," IEEE Transactions on Circuits and Systems for Video Technology [T-CSVT], 2021. Accept. (IF: 4.685) [paper], [source code]

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]

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.)

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]

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. [Source code] (IF: 4.046)

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)

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]

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]

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]

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], 2019. Accept. (IF: 11.683), [paper], [Github source code]

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).

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)

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]

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]

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. Accept. (IF: 3.25), [paper]

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)

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]

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)

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)

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]

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)

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)

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)

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)

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)

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)

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/ACM Transactions on Computational Biology and Bioinformatics [T-CBB], vol. 15, no. 3, pp. 802-812, 2018. [paper] (IF: 1.955)

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)

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)

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

Shanshan Wang, Lei Zhang*, and Jingru Fu, "Adversarial Transfer Learning for Cross-domain Visual Recognition," Knowledge-based Systems, 2020. Accept. (IF: 8.083) [paper]

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)

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]

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]

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]

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: 7.1)

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: 7.1)

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.[paper],[code] (IF: 7.1)

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.[paper],[code] (IF: 7.1)

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. [paper],[code] (IF: 7.1)

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: Chemical, vol. 160, pp.899-909, 2011.[paper],[code] (IF: 7.1)

Selected Conference Papers

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

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. Virtual, June 19-25. (CCF-A) (Acceptance rate: 23%) [paper], [Source code]

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%)

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.

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]

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

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]

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)

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 pytorch code]

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%)

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]

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). [paper], [Github source code] (Acceptance rate: 25%)

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). [paper], [Github source code] (Acceptance rate: 25%)

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)

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)

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]

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]

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]

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)