[1]. Cairong Zhao*, Xinbi Lv*, Zhang Zhang, Wangmeng Zuo, Jun Wu, Duoqian Miao, Deep Fusion Feature Representation Learning with Hard Mining Center-Triplet Loss for Person Re-identification. IEEE Transactions on Multimedia, 2020.[pdf]

[2]. Cairong Zhao*, Kang Chen, Di Zang  et al.  Uncertainty-optimized deep learning model for small-scale person re-identification. Sciences China. Information Sciences, 2019, 1: 13 [pdf]

[3]. Jiayue Fu*, Cairong Zhao*, Ye Xia, Wenbin Liu. Vehicle and Wheel Detection: A Novel SSD-Based Approach and Associated Large-Scale Benchmark Dataset.Multimedia Tools and Applications, 2019. [pdf]

[4]. Cairong Zhao*, Xuekuan Wang*, Wangmeng Zuo, Fumin Shen, Ling Shao, Duoqian Miao. Similarity Learning with Joint Transfer Constraints for Person Re-Identification. Pattern Recognition 2020, 97:107014. [pdf]  

[5].Cairong Zhao*, Kang,Chen*, Zhihua Wei, Yipeng Chen, Duoqian Miao, Wei Wang. Multilevel triplet deep learning model for person re-identification. Pattern Recognition Letters, 2019, 117:161-168 [pdf]  

[6].Hongyun Zhang*, Ting Zhang, Witold Pedrycz,Cairong Zhao*.Duoqian Miao. Improved Adaptive Image Retrieval with the Use of Shadowed Sets[J]. Pattern Recognition, 2019. [pdf]

[7].Cairong Zhao*, XuekuanWang*, Duoqian Miao, Hanli Wang, Weishi Zheng, Yong Xu, David Zhang. Maximal granularity structure and generalized multi-view discriminant analysis for person re-identification[J]. Pattern Recognition, 2018, 79: 79-96. [pdf]

[8].Cairong Zhao*, Yipeng Chen*, Xuekuan Wang, Wai Keung Wong*, Duoqian Miao, Weishi Zheng. Kernelized Random KISS metric learning for person re-identification. Neurocomputing. 2018, 27(31):403-417. [pdf]

[9].Can Gao, Zhihui Lai, JieZhou,Cairong Zhao, Duoqian Miao. Maximum decision entropy-based attribute reduction in decision-theoretic rough set model. Knowledge-Based Syetems 2018, 143:179-191. [pdf]

[10].Cairong Zhao*, XuekuanWang*,Wai Keung Wong, Weishi Zheng Jian Yang, Duoqian Miao. Multiple Metric Learning based on Bar-shape Descriptor for Person Re-Identification. Pattern recognition 2017, 71:218-234. [pdf]

[11].XuekuanWang*,CairongZhao*, DuoqianMiao, ZhihuaWeia, Renxian Zhang, Tingfei Ye. Fusion of multiple channel features for person re-identification. Neurocomputing 2016, 213: 125-136. [pdf]

[12].Xinjian Gu, Chuancai Liu, C., Sheng Wang,Cairong Zhao, Songsong Wu. Uncorrelated Slow Feature Discriminant Analysis using Globality Preserving Projections for Feature Extraction. Neurocomputing 2015, 163: 488-499. [pdf]

[13].Xinjian Gu, Chuancai Liu, C., Sheng Wang,Cairong Zhao. Feature extraction using adaptive slow feature discriminant analysis. Neurocomputing 2015, 154:139-148. [pdf]

[14].Cairong Zhao, Zhihui Lai, Duoqian Miao, Zhihua Wei, Caihui Liu. Graph Embedding Discriminant Analysis for Face Recognition. Neural and Computing and Application, 2014, 24(7-8):1697-1706. [pdf]

[15].Zhihui Lai, Wai Keung Wong, Yong Xu,Cairong Zhao，Mingming Sun, Sparse Alignment for Robust Tensor learning, IEEE Transactions on Neural Networks and learning systems, 2014, 25(10): 1779-1792. [pdf]

[16].Rui Zhao, Zhihua Wei, Yan Wu,Cairong Zhao, Duoqian Miao. Bayes Network based Collaborating Control Algorithm in Active Multi-Camera Network with Applications to Object Tracking. Mathematical Problems in Engineering, Volume 2014 (2014), Article ID 219367, 8 pages [pdf]

[17].Cairong Zhao, Duoqian Miao, Zhihui Lai, Can Gao, Chuancai Liu, Jingyu Yang, Two-Dimensional color uncorrelated discriminant analysis for face recognition, Neurocomputing 2013, 113(3): 251-261. [pdf]