Journal Papers
1) Fei Wu, Xiao-Yuan Jing, Songsong Wu, Guangwei Gao, Qi Ge, Ruchuan Wang, “Like Charges Repulsion and Opposite Charges Attraction” Law based Multilinear Subspace Analysis for Face Recognition, Knowledge-Based Systems, vol. 149, pp. 76-87, 2018.
2) Fei Wu, Xiao-Yuan Jing, Xiwei Dong, Ruimin Hu, Dong Yue, Lina Wang, Yi-Mu Ji, Ruchuan Wang, Guoliang Chen, Intraspectrum Discrimination and Interspectrum Correlation Analysis Deep Network for Multispectral Face Recognition, IEEE Transactions on Cybernetics, in press, 2018.
3) Fei Wu, Xiao-Yuan Jing, Ying Sun, Jing Sun, Lin Huang, Fangyi Cui, Yanfei Sun, Cross-project and Within-project Semi-supervised Software Defect Prediction: A Unified Approach, IEEE Transactions on Reliability, vol. 67, no. 2, pp. 581-597, 2018.
4) Fei Wu, Xiao-Yuan Jing, Xinge You, Dong Yue, Ruimin Hu, Jing-Yu Yang, Multi-view Low-rank Dictionary Learning for Image Classification, Pattern Recognition, vol. 50, pp. 143-154, 2016.
5) Fei Wu, Xiao-Yuan Jing, Xiwei Dong, Qi Ge, Songsong Wu, Qian Liu, Dong Yue, Jing-Yu Yang, Uncorrelated Multi-set Feature Learning for Color Face Recognition, Pattern Recognition, vol. 60, pp. 630-646, 2016.
6) Fei Wu, Xiao-Yuan Jing, Qian Liu, Song-Song Wu, Guo-Liang He, Large-scale Image Recognition based on Parallel Kernel Supervised and Semi-supervised Subspace Learning, Neural Computing and Applications, vol. 28, no. 3, pp. 483-498, 2017.
7) Fei Wu, Xiao-Yuan Jing, Yong-Fang Yao, Dong Yue, Jun Chen, Group Recursive Discriminant Subspace Learning with Image Set Decomposition, Neural Computing and Applications, vol. 27, no. 6, pp. 1693-1706, 2016.
8) Fei Wu, Xiao-Yuan Jing, Dong Yue, Multi-view Discriminant Dictionary Learning via Learning View-specific and Shared Structured Dictionaries for Image Classification, Neural Processing Letters, vol. 45, no. 2, pp. 649-666, 2017.
9) Fei Wu, Xiao-Yuan Jing, Discriminant-reconstruction based Multiple Attribute Classifiers for Face Recognition, National Academy Science Letters, vol. 40, no. 3, pp. 177-182, 2017.
10) Fei Wu, Xiao-Yuan Jing, Xiang-Long Ge, Ming-Xiao Huang, Clustering based Uncorrelated Balanced Class-specific Learning for Image Classification, Journal of Information and Computational Science, vol. 12, no. 1, pp. 111-120, 2015.
11) Xiao-Yuan Jing, Fei Wu, Zhiqiang Li, Ruimin Hu, David Zhang, Multi-label Dictionary Learning for Image Annotation, IEEE Transactions on Image Processing, vol. 25, no. 6, pp. 2712-2725, 2016.
12) Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Baowen Xu, An Improved SDA Based Defect Prediction Framework for Both Within-Project and Cross-Project Class-Imbalance Problems, IEEE Transactions on Software Engineering, vol. 43, no. 4, pp. 321-339, 2016.
13) Xiao-Yuan Jing, Fei Wu, Xiaoke Zhu, Xiwei Dong, Fei Ma, Zhiqiang Li, Multi-spectral Low-rank Structured Dictionary Learning for Face Recognition, Pattern Recognition, vol. 59, pp. 14-25, 2016.
14) Xiwei Dong, Fei Wu, Xiao-Yuan Jing, Semi-supervised Multiple Kernel Intact Discriminant Space Learning for Image Recognition, Neural Computing and Applications, in press, 2018.
15) Lu Han, Fei Wu, Xiao-Yuan Jing, Semi-supervised Multi-view Manifold Discriminant Intact Space Learning, KSII Transactions on Internet and Information Systems, vol. 12, no. 9, pp. 4317-4335, 2018.
16) Xiwei Dong, Fei Wu, Xiao-Yuan Jing, Generic Training Set based Multimanifold Discriminant Learning for Single Sample Face Recognition, KSII Transactions on Internet and Information Systems, vol. 12, no. 1, pp. 368-391, 2018.
17) Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Ruimin Hu, Xinge You, Yunhong Wang, Hui Feng, Jing-Yu Yang, Super-resolution Person Re-identification with Semi-coupled Low-rank Discriminant Dictionary Learning, IEEE Transactions on Image Processing, vol. 26, no. 3, pp. 1363-1378, 2017.
18) Qi Ge, Xiao-Yuan Jing, Fei Wu, Zhihui Wei, Liang Xiao, Wenze Shao, Dong Yue, Haibo Li, Structure-based Low-Rank Model with Graph Nuclear Norm Regularization for Noise Removal, IEEE Transactions on Image Processing, vol. 26, no. 7, pp. 3098-3112, 2017.
19) Zhiqiang Li, Xiao-Yuan Jing, Fei Wu, Xiaoke Zhu, Baowen Xu, Shi Ying, Cost-sensitive Transfer Kernel Canonical Correlation Analysis for Heterogeneous Defect Prediction, Automated Software Engineering, vol. 25, no. 2, pp. 201-245, 2018.
20) Lu Han, Xiao-Yuan Jing, Fei Wu, Multi-view Local Discrimination and Canonical Correlation Analysis for Image Classification, Neurocomputing, vol. 275, pp. 1087-1098, 2018.
21) Zhi-Wu Zhang, Xiao-Yuan Jing, Fei Wu, Low-rank Representation for Semi-supervised Software Defect Prediction, IET Software, vol. 12, no. 6, pp. 527-535, 2018.
22) Qi Ge, Xiao-Yuan Jing, Fei Wu, Jingjie Yan, Hai-Bo Li, Unsupervised Joint Image Denoising and Active Contour Segmentation in Multi-dimensional Feature Space, Mathematical Problems in Engineering, Article ID 3909645, 2016.
23) Xiaohua Liu, Xiao-yuan Jing, Guijin Tang, Fei Wu, Qi Ge, Image Denoising Using Weighted Nuclear Norm Minimization with Multiple Strategies, Signal Processing, vol. 135, pp. 239-252, 2017.
24) Qi Ge, Fumin Shen, Xiao-Yuan Jing, Fei Wu, Shi-Peng Xie, Dong Yue, Hai-Bo Li, Active Contour Evolved by Joint Probability Classification on Riemannian Manifold, Signal, Image and Video Processing, vol. 10, no. 7, pp. 1257-1264, 2016.
Conference Papers
1) Fei Wu, Xiao-Yuan Jing, Wangmeng Zuo, Ruiping Wang, Xiaoke Zhu, Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set based Classification, Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), pp. 3069-3075, 2017.
2) Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang, Multiset Feature Learning For Highly Imbalanced Data Classification, Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), pp. 1583-1589, 2017.
3) Fei Wu, Xiao-Yuan Jing, Xiwei Dong, Jicheng Cao, Mingwei Xu, Xuejing Shi, Shi Ying, Baowen Xu, Cross-project and Within-project Semi-supervised Software Defect Prediction Problems Study Using a Unified Solution, Proceedings of the 39th International Conference on Software Engineering (ICSE), pp. 195-197, 2017.
4) Fei Wu, Zhiyong Wu, Yujian Feng, Jun Zhou, He Huang, Xinwei Li, Xiwei Dong, Xiao-Yuan Jing, Supervised Discrete Matrix Factorization Hashing For Cross-Modal Retrieval, Proceedings of the 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), accepted, 2018.
5) Fei Wu, Xiao-Yuan Jing, Xiwei Dong, Jicheng Cao, Baowen Xu, Shi Ying, Cost-Sensitive Local Collaborative Representation for Software Defect Prediction, the Annual Conference on Software Analysis, Testing and Evolution (SATE), pp. 102-107, 2016.
6) Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen, Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification, Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), pp. 1374-1381, 2017.
7) Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Fumin Qi, Baowen Xu, Heterogeneous Cross-company Defect Prediction by Unified Metric Representation and CCA-based Transfer Learning, Proceedings of the 10th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), pp. 496-507, 2015.
8) Qian Liu, Fei Wu*, Xiao-Yuan Jing, Xi-Wei Dong, Kun Xu, Xue-Jing Shi, Xiao-Yu Xi, Parallel Nonlinear Discriminant Feature Extraction for Face and Handwritten Digit Recognition, Proceedings of the 10th Chinese Conference on Biometric Recognition (CCBR), pp. 536-543, 2015.
9) Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu, Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification, Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), pp. 2970-2976, 2017.
10) Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng, Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image, Proceedings of the 31th AAAI Conference on Artificial Intelligence (AAAI), pp. 4341-4348, 2017.
11) Xiao-Yuan Jing, Qian Liu, Fei Wu, Baowen Xu, Yangping Zhu, Songcan Chen, Web Page Classification based on Uncorrelated Semi-supervised Intra-view and Inter-view Manifold Discriminant Feature Extraction, Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI), pp. 2255-2261, 2015.
12) Xiao-Yuan Jing, Ruimin Hu, Fei Wu, Xi-Lin Chen, Qian Liu, Yong-Fang Yao, Uncorrelated Multi-view Discrimination Dictionary Learning for Recognition, Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), pp. 2787-2795, 2014.
13) Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Xinge You, Qinglong Liu, Dong Yue, Ruimin Hu, Baowen Xu, Super-resolution Person Re-identification with Semi-coupled Low-rank Discriminant Dictionary Learning, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 695-704, 2015.
14) Xiao-Yuan Jing, Fuming Qi, Fei Wu, Baowen Xu, Missing Data Imputation based on Low-Rank Recovery and Semi-Supervised Regression for Software Effort Estimation, Proceedings of the 38th International Conference on Software Engineering (ICSE), pp. 607-618, 2016.
15) Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Hui Feng, Video-based Person Re-identification by Simultaneously Learning Intra-video and Inter-video Distance Metrics, Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI), pp. 3552-3559, 2016.
16) Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Weishi Zheng, Rui-Min Hu, Distance Learning by Treating Negative Samples Differently and Exploiting Impostors with Symmetric Triplet Constraint for Person Re-identification, Proceedings of the 17th IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6, 2016.
17) Fuming Qi, Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Li Cheng, Privacy Preserving via Interval Covering based Subclass Division and Manifold Learning based Bi-directional Obfuscation for Effort Estimation, Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering, pp. 75-86, 2016.
18) Yangping Zhu, Xiaoyuan Jing, Qing Wang, Fei Wu, Hui Feng, Shanshan Wu, Multi-view Sparse Embedding Analysis Based Image Feature Extraction and Classification, Proceedings of the 1st CCF Chinese Conference on Computer Vision (CCCV), pp. 51-60, 2015.
19) Kun Wang, Songsong Wu, Yufeng Qiu, Fei Wu, Xiaoyuan Jing, Learning Semantic Double-Autoencoder with Attribute Constraint for Zero-Shot Recognition, International Conference on Intelligence Science and Big Data Engineering (IScIDE), pp. 123-134, 2018.
20) Guangcheng Sun, Songsong Wu, Guangwei Gao, Fei Wu, Xiao-Yuan Jing, Coupled Autoencoders Learning for Zero-shot Classification with Domain Shift, International Conference on Progress in Informatics and Computing (PIC), pp. 66-70, 2017.
21) Yimu Ji, Chen Chen, Shangdong Liu, Fei Wu, Zhiyu Chen, Qiang Bi, Na Wang, Zhipeng Jiao, Yede Qi, Xingwang Yang, Siyang Hou, Xiangyu Cao, Yichao Dong, Research on Security of Key Algorithms in Intelligent Driving System, IEEE International Conference on Data Science in Cyberspace Workshop on Vulnerability Analysis and Adversarial Learning (VAAL), pp. 936-942, 2018.
22) Xiaoyuan Jing, Sheng Li, Yongfang Yao, Wenqian Li, Fei Wu, Chao Lan, Multi-Modal Biometric Feature Extraction and Recognition Based on Subclass Discriminant Analysis (SDA) and Generalized Singular Value Decomposition (GSVD), International Conference on Hand-Based Biometrics (ICHB), pp. 51-6, 2011.