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ORCIDFei Wu 0004
Person information
- affiliation (PhD 2016): Nanjing University of Posts and Telecommunications, College of Automation, Nanjing, China
- affiliation (former): Wuhan University, State Key Laboratory of Software Engineering, Wuhan, China
Other persons with the same name
- Fei Wu — disambiguation page
- Fei Wu 0001
![[0000-0003-2139-8807]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-2139-8807")
— Zhejiang University, College of Computer Science and Technology, Hangzhou, China - Fei Wu 0002 — University of Stuttgart, Germany
- Fei Wu 0003 — Google Research, Mountain View, CA, USA (and 1 more)
- Fei Wu 0005 — Huazhong University of Science and Technology, Key Lab of Data Storage Systems, Wuhan, China (and 1 more)
- Fei Wu 0006 — Shanghai University of Engineering Science, Shanghai, China (and 1 more)
- Fei Wu 0007 — Pennsylvania State University, College of Information Science and Technology, State College, PA, USA
- Fei Wu 0008 — Ohio State University, Columbus, OH, USA
- Fei Wu 0009 — Versailles Saint-Quentin-en-Yvelines University, France
- Fei Wu 0010 — Zhejiang University, Institute of Information and Communication Engineering, Hangzhou, China
- Fei Wu 0011 — Tsinghua University, Department of Automation, Beijing, China
- Fei Wu 0012 — CUHK, Hong Kong
- Fei Wu 0013 — University of Electronic Science and Technology of China, Chengdu, China
- Fei Wu 0014 — CAS, Institute of Remote Sensing Applications, Beijing, China
- Fei Wu 0015 — Jilin University, Changchun, China
- Fei Wu 0016 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China
- Fei Wu 0017 — Sichuan University, Chengdu, China
- Fei Wu 0018 — Zhengzhou University, School of Information Engineering, Zhengzhou, China
- Fei Wu 0019 — National Unviersity of Singapore, Department of Physics, Singapore
- Fei Wu 0020 — Beijing University of Technology, College of Metropolitan Transportation, Beijing, China
- Fei Wu 0021 — Beijing Institute of Technology, School of Automation, Beijing, China
- Fei Wu 0022 — University of Massachusetts, Boston, MA, USA
- Fei Wu 0023 — Beijing University of Chemical Technology, Beijing, China
- Fei Wu 0024 — Southeast University, School of Automation, Nanjing, China
- Fei Wu 0025 — University of Erlangen-Nuremberg, Department of Computer Science, Erlangen, Germany
- Fei Wu 0026 — ZheJiang University of Technology, College of Computer Science and Technology, HangZhou, China
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2020 – today
- 2025
[j75]Yujian Feng, Feng Chen, Jian Yu, Yimu Ji, Fei Wu, Shangdong Liu, Xiao-Yuan Jing:
Homogeneous and heterogeneous relational graph for visible-infrared person re-identification. Pattern Recognit. 158: 110981 (2025)- 2024
- [j74]Zhiqiang Li, Qiannan Du, Hongyu Zhang, Xiao-Yuan Jing, Fei Wu:
An empirical study of data sampling techniques for just-in-time software defect prediction. Autom. Softw. Eng. 31(2): 56 (2024) - [j73]Runhang Chen, Xiao-Yuan Jing, Fei Wu, Haowen Chen:
Sharpness-aware gradient guidance for few-shot class-incremental learning. Knowl. Based Syst. 299: 112030 (2024) - [j72]Lintao Xu, Changhui Hu, Bo Zhang, Fei Wu, Ziyun Cai:
Swin transformer and ResNet based deep networks for low-light image enhancement. Multim. Tools Appl. 83(9): 26621-26642 (2024) - [j71]Fei Wu, Hong Zhou, Yujian Feng, Guangwei Gao, Yimu Ji, Xiao-Yuan Jing:
Cycle mapping with adversarial event classification network for fake news detection. Multim. Tools Appl. 83(30): 74101-74122 (2024) - [j70]Fei Wu, Yongheng Ma, Hao Jin, Xiao-Yuan Jing, Guo-Ping Jiang:
MFECLIP: CLIP With Mapping-Fusion Embedding for Text-Guided Image Editing. IEEE Signal Process. Lett. 31: 116-120 (2024) - [j69]Jing Sun, Yi-Mu Ji, Jing He, Fei Wu, Yanfei Sun:
$\text{Offset}^{3}\text{Net}$: Simple Joint 3-D Detection and Tracking With Three-Step Offset Learning. IEEE Trans. Ind. Informatics 20(2): 2284-2294 (2024) - [j68]Yujian Feng, Feng Chen, Jian Yu, Yimu Ji, Fei Wu, Tianliang Liu, Shangdong Liu, Xiao-Yuan Jing, Jiebo Luo:
Cross-Modality Spatial-Temporal Transformer for Video-Based Visible-Infrared Person Re-Identification. IEEE Trans. Multim. 26: 6582-6594 (2024) - [c36]Shangdong Liu, Xiaofan Yue, Fei Wu, Jing Sun, Yujian Feng, Yimu Ji:
Semantic Distillation and Structural Alignment Network for Fake News Detection. ICASSP 2024: 6620-6624 - 2023
- [j67]Sisi Shao, Yimu Ji, Weili Zhang, Shangdong Liu, Fei Jiang, Zhigang Cao, Fei Wu, Fukang Zeng, Jun Zuo, Longfei Zhou:
A DHR executor selection algorithm based on historical credibility and dissimilarity clustering. Sci. China Inf. Sci. 66(11) (2023) - [j66]Fei Wu, Shuaishuai Li, Guangchuan Peng, Yongheng Ma, Xiao-Yuan Jing:
Modality-Fused Graph Network for Cross-Modal Retrieval. IEICE Trans. Inf. Syst. 106(5): 1094-1097 (2023) - [j65]Shangdong Liu, Chaojun Mei, Shuai You, Xiaoliang Yao, Fei Wu, Yimu Ji:
A Lightweight and Efficient Infrared Pedestrian Semantic Segmentation Method. IEICE Trans. Inf. Syst. 106(9): 1564-1571 (2023) - [j64]Runhang Chen, Xiao-Yuan Jing, Fei Wu, Wei Zheng, Yaru Hao:
Task-specific parameter decoupling for class incremental learning. Inf. Sci. 651: 119731 (2023) - [j63]Fei Wu, Shuaishuai Li, Guangwei Gao, Yimu Ji, Xiao-Yuan Jing, Zhiguo Wan:
Semi-supervised cross-modal hashing via modality-specific and cross-modal graph convolutional networks. Pattern Recognit. 136: 109211 (2023) - [j62]Yujian Feng, Yimu Ji, Fei Wu, Guangwei Gao, Yang Gao, Tianliang Liu, Shangdong Liu, Xiao-Yuan Jing, Jiebo Luo:
Occluded Visible-Infrared Person Re-Identification. IEEE Trans. Multim. 25: 1401-1413 (2023) - [j61]Guangwei Gao, Lei Tang, Fei Wu, Huimin Lu, Jian Yang:
JDSR-GAN: Constructing an Efficient Joint Learning Network for Masked Face Super-Resolution. IEEE Trans. Multim. 25: 1505-1512 (2023) - [j60]Yujian Feng, Jian Yu, Feng Chen, Yimu Ji, Fei Wu, Shangdong Liu, Xiao-Yuan Jing:
Visible-Infrared Person Re-Identification via Cross-Modality Interaction Transformer. IEEE Trans. Multim. 25: 7647-7659 (2023) - [c35]Ming Tao, Bing-Kun Bao, Hao Tang, Fei Wu, Longhui Wei, Qi Tian:
DE-net: Dynamic Text-Guided Image Editing Adversarial Networks. AAAI 2023: 9971-9979 - [c34]Jing Liu, Fei Wu, Hao Jin, Xiaoke Zhu, Xiao-Yuan Jing:
Inter-modal Fusion Network with Graph Structure Preserving for Fake News Detection. ICONIP (6) 2023: 280-291 - 2022
- [j59]Jing Sun, Yi-Mu Ji, Fei Wu, Chi Zhang, Yanfei Sun:
Semantic-aware 3D-voxel CenterNet for point cloud object detection. Comput. Electr. Eng. 98: 107677 (2022) - [j58]Qi Ge, Wenze Shao, Guangwei Gao, Liqian Wang, Fei Wu, Tao Wang:
Low-tubal-rank tensor factorization on constant curvature Riemann manifold with mixture of Gaussians. Comput. Electr. Eng. 102: 108180 (2022) - [j57]Jing Sun, Jing Xu, Yi-Mu Ji, Fei Wu, Yanfei Sun:
Cascaded multi-3D-view fusion for 3D-oriented object detection. Comput. Electr. Eng. 103: 108312 (2022) - [j56]Kui Li, Yi-mu Ji, Shangdong Liu, Fei Wu, Haichang Yao, Jing He, Qiang Liu, Yanlan Liu, Si-si Shao, Shuai You:
DVO + LCLMF: A web service recommendation mechanism with QoS privacy preservation. Concurr. Comput. Pract. Exp. 34(18) (2022) - [j55]Zhiyu Chen, Jianyu Ding, Fei Wu, Chi Zhang, Yiming Sun, Jing Sun, Shangdong Liu, Yimu Ji:
An Optimized Black-Box Adversarial Simulator Attack Based on Meta-Learning. Entropy 24(10): 1377 (2022) - [j54]Fei Wu, Xinhao Zheng, Ying Sun, Yang Gao, Xiao-Yuan Jing:
Joint Domain Adaption and Pseudo-Labeling for Cross-Project Defect Prediction. IEICE Trans. Inf. Syst. 105-D(2): 432-435 (2022) - [j53]Fei Wu, Xiao-Yuan Jing, Pengfei Wei, Chao Lan, Yimu Ji, Guo-Ping Jiang, Qinghua Huang:
Semi-supervised multi-view graph convolutional networks with application to webpage classification. Inf. Sci. 591: 142-154 (2022) - [j52]Fei Wu, Pengfei Wei, Guangwei Gao, Chang-Hui Hu, Qi Ge, Xiao-Yuan Jing:
Dual-aligned unsupervised domain adaptation with graph convolutional networks. Multim. Tools Appl. 81(11): 14979-14997 (2022) - [j51]Feng Chen, Fei Wu, Guangwei Gao, Yimu Ji, Jing Xu, Guo-Ping Jiang, Xiao-Yuan Jing:
JSPNet: Learning joint semantic & instance segmentation of point clouds via feature self-similarity and cross-task probability. Pattern Recognit. 122: 108250 (2022) - [j50]Pengfei Wei, Fei Wu, Ying Sun, Hong Zhou, Xiao-Yuan Jing:
Modality and Event Adversarial Networks for Multi-Modal Fake News Detection. IEEE Signal Process. Lett. 29: 1382-1386 (2022) - [j49]Guangwei Gao, Hao Shao, Fei Wu, Meng Yang, Yi Yu:
Leaning compact and representative features for cross-modality person re-identification. World Wide Web 25(4): 1649-1666 (2022) - [c33]Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu:
Feature Distillation Interaction Weighting Network for Lightweight Image Super-resolution. AAAI 2022: 661-669 - [c32]Ming Tao, Hao Tang, Fei Wu, Xiaoyuan Jing, Bing-Kun Bao, Changsheng Xu:
DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis. CVPR 2022: 16494-16504 - [c31]Yimu Ji, Jianyu Ding, Zhiyu Chen, Fei Wu, Chi Zhang, Yiming Sun, Jing Sun, Shangdong Liu:
Simulator Attack+ for Black-Box Adversarial Attack. ICIP 2022: 636-640 - [i8]Ming Tao, Bing-Kun Bao, Hao Tang, Fei Wu, Longhui Wei, Qi Tian:
DE-Net: Dynamic Text-guided Image Editing Adversarial Networks. CoRR abs/2206.01160 (2022) - 2021
- [j48]Qi Ge, Guangwei Gao, Wenze Shao, Liqian Wang, Fei Wu:
Graph regularized Bayesian tensor factorization based on Kronecker-Decomposable dictionary. Comput. Electr. Eng. 90: 106968 (2021) - [j47]Feng Chen, Fei Wu, Jing Xu, Guangwei Gao, Qi Ge, Xiao-Yuan Jing:
Adaptive deformable convolutional network. Neurocomputing 453: 853-864 (2021) - [j46]Ying Sun, Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Yanfei Sun, Ruchuan Wang:
Semi-supervised Heterogeneous Defect Prediction with Open-source Projects on GitHub. Int. J. Softw. Eng. Knowl. Eng. 31(6): 889-916 (2021) - [j45]Xiao-Yuan Jing, Xinyu Zhang, Xiaoke Zhu, Fei Wu, Xinge You, Yang Gao, Shiguang Shan, Jing-yu Yang:
Multiset Feature Learning for Highly Imbalanced Data Classification. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 139-156 (2021) - [j44]Fei Wu, Xiao-Yuan Jing, Yujian Feng, Yi-mu Ji, Ruchuan Wang:
Spectrum-aware discriminative deep feature learning for multi-spectral face recognition. Pattern Recognit. 111: 107632 (2021) - [j43]Chang-Hui Hu, Jian Yu, Fei Wu, Yang Zhang, Xiao-Yuan Jing, Xiaobo Lu, Pan Liu:
Face illumination recovery for the deep learning feature under severe illumination variations. Pattern Recognit. 111: 107724 (2021) - [j42]Yujian Feng, Feng Chen, Yi-mu Ji, Fei Wu, Jing Sun:
Efficient Cross-Modality Graph Reasoning for RGB-Infrared Person Re-Identification. IEEE Signal Process. Lett. 28: 1425-1429 (2021) - [j41]Sisi Shao, Fei Chen, Xiaoying Xiao, Weiheng Gu, Yicheng Lu, Shu Wang, Wen Tang, Shangdong Liu, Fei Wu, Jing He, Yimu Ji, Kaixiang Zhang, Fen Mei:
IBE-BCIOT: an IBE based cross-chain communication mechanism of blockchain in IoT. World Wide Web 24(5): 1665-1690 (2021) - [c30]Ying Sun, Yanfei Sun, Fei Wu, Xiao-Yuan Jing:
Deep Adversarial Learning Based Heterogeneous Defect Prediction. ICAIS (1) 2021: 326-337 - [c29]Fei Wu, Xiaokai Luo, Qinghua Huang, Pengfei Wei, Ying Sun, Xiwei Dong, Zhiyong Wu:
Semantic Preserving Generative Adversarial Network For Cross-Modal Hashing. ICIP 2021: 2743-2747 - [c28]Yimu Ji, Xiaoying Xiao, Fei Wu, Fei Chen, Shangdong Liu:
BIDAC: Blockchain-enabled Identity-Based Data Access Control in IoT. WI/IAT (Workshop/Special Session) 2021: 400-405 - [i7]Guangwei Gao, Lei Tang, Yi Yu, Fei Wu, Huimin Lu, Jian Yang:
JDSR-GAN: Constructing A Joint and Collaborative Learning Network for Masked Face Super-Resolution. CoRR abs/2103.13676 (2021) - [i6]Guangwei Gao, Hao Shao, Yi Yu, Fei Wu, Meng Yang:
Leaning Compact and Representative Features for Cross-Modality Person Re-Identification. CoRR abs/2103.14210 (2021) - [i5]Yujian Feng, Feng Chen, Jian Yu, Yimu Ji, Fei Wu, Shangdong Liu:
Homogeneous and Heterogeneous Relational Graph for Visible-infrared Person Re-identification. CoRR abs/2109.08811 (2021) - [i4]Feng Chen, Fei Wu, Qi Wu, Zhiguo Wan:
Memory Regulation and Alignment toward Generalizer RGB-Infrared Person. CoRR abs/2109.08843 (2021) - [i3]Guangwei Gao, Wenjie Li, Juncheng Li, Fei Wu, Huimin Lu, Yi Yu:
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution. CoRR abs/2112.08655 (2021) - 2020
- [j40]Ying Sun, Xiao-Yuan Jing, Fei Wu, Juanjuan Li, Danlei Xing, Haowen Chen, Yanfei Sun:
Adversarial Learning for Cross-Project Semi-Supervised Defect Prediction. IEEE Access 8: 32674-32687 (2020) - [j39]Changhui Hu, Fei Wu, Jian Yu, Xiaoyuan Jing, Xiaobo Lu, Pan Liu:
Diagonal Symmetric Pattern-Based Illumination Invariant Measure for Severe Illumination Variation Face Recognition. IEEE Access 8: 63202-63213 (2020) - [j38]Songsong Wu, Xiao-Yuan Jing, Qinghua Zhang, Fei Wu, Haifeng Zhao, Yuning Dong:
Prediction Consistency Guided Convolutional Neural Networks for Cross-Domain Bearing Fault Diagnosis. IEEE Access 8: 120089-120103 (2020) - [j37]Jing Sun, Yi-mu Ji, Shangdong Liu, Fei Wu:
Cost-Sensitive and Sparse Ladder Network for Software Defect Prediction. IEICE Trans. Inf. Syst. 103-D(5): 1177-1180 (2020) - [j36]Ying Sun, Xiao-Yuan Jing, Fei Wu, Yanfei Sun:
Selective Pseudo-Labeling Based Subspace Learning for Cross-Project Defect Prediction. IEICE Trans. Inf. Syst. 103-D(9): 2003-2006 (2020) - [j35]Danlei Xing, Fei Wu, Ying Sun, Xiao-Yuan Jing:
Cross-Project Defect Prediction via Semi-Supervised Discriminative Feature Learning. IEICE Trans. Inf. Syst. 103-D(10): 2237-2240 (2020) - [j34]Yujian Feng, Fei Wu, Yimu Ji, Xiao-Yuan Jing, Jian Yu:
Deep Metric Learning with Triplet-Margin-Center Loss for Sketch Face Recognition. IEICE Trans. Inf. Syst. 103-D(11): 2394-2397 (2020) - [j33]Xiaohua Liu, Xiao-Yuan Jing, Guijin Tang, Fei Wu, Xiwei Dong:
Low-rank tensor completion for visual data recovery via the tensor train rank-1 decomposition. IET Image Process. 14(1): 114-124 (2020) - [j32]Ying Sun, Xiao-Yuan Jing, Fei Wu, Yanfei Sun:
Manifold embedded distribution adaptation for cross-project defect prediction. IET Softw. 14(7): 825-838 (2020) - [j31]Fei Wu, Feng Chen, Xiao-Yuan Jing, Chang-Hui Hu, Qi Ge, Yimu Ji:
Dynamic attention network for semantic segmentation. Neurocomputing 384: 182-191 (2020) - [j30]Yongguang Yang, Feng Chen, Fei Wu, Deliang Zeng, Yi-mu Ji, Xiao-Yuan Jing:
Multi-view semantic learning network for point cloud based 3D object detection. Neurocomputing 397: 477-485 (2020) - [j29]Shuai You, Qiang Bi, Yimu Ji, Shangdong Liu, Yujian Feng, Fei Wu:
Traffic Sign Detection Method Based on Improved SSD. Inf. 11(10): 475 (2020) - [j28]Songsong Wu, Guangwei Gao, Zuoyong Li, Fei Wu, Xiao-Yuan Jing:
Unsupervised visual domain adaptation via discriminative dictionary evolution. Pattern Anal. Appl. 23(4): 1665-1675 (2020) - [j27]Fei Wu, Xiao-Yuan Jing, Zhiyong Wu, Yimu Ji, Xiwei Dong, Xiaokai Luo, Qinghua Huang, Ruchuan Wang:
Modality-specific and shared generative adversarial network for cross-modal retrieval. Pattern Recognit. 104: 107335 (2020) - [j26]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 Trans. Cybern. 50(3): 1009-1022 (2020) - [j25]Chang-Hui Hu, Yang Zhang, Fei Wu, Xiaobo Lu, Pan Liu, Xiao-Yuan Jing:
Toward Driver Face Recognition in the Intelligent Traffic Monitoring Systems. IEEE Trans. Intell. Transp. Syst. 21(12): 4958-4971 (2020) - [c27]Yimu Ji, Weiheng Gu, Fei Chen, Xiaoying Xiao, Jing Sun, Shangdong Liu, Jing He, Yunyao Li, Kaixiang Zhang, Fen Mei, Fei Wu:
SEBF: A Single-Chain based Extension Model of Blockchain for Fintech. IJCAI 2020: 4497-4505 - [c26]Hao Ding, Songsong Wu, Hao Tang, Fei Wu, Guangwei Gao, Xiao-Yuan Jing:
Cross-View Image Synthesis with Deformable Convolution and Attention Mechanism. PRCV (1) 2020: 386-397 - [i2]Hao Ding, Songsong Wu, Hao Tang, Fei Wu, Guangwei Gao, Xiao-Yuan Jing:
Cross-View Image Synthesis with Deformable Convolution and Attention Mechanism. CoRR abs/2007.09858 (2020) - [i1]Ming Tao, Hao Tang, Songsong Wu, Nicu Sebe, Fei Wu, Xiao-Yuan Jing:
DF-GAN: Deep Fusion Generative Adversarial Networks for Text-to-Image Synthesis. CoRR abs/2008.05865 (2020)
2010 – 2019
- 2019
- [j24]Fei Wu, Xiwei Dong, Lu Han, Xiao-Yuan Jing, Yi-mu Ji:
Multi-View Synthesis and Analysis Dictionaries Learning for Classification. IEICE Trans. Inf. Syst. 102-D(3): 659-662 (2019) - [j23]Changhui Hu, Xiaobo Lu, Fei Wu, Songsong Wu, Xiao-Yuan Jing:
General logarithm difference model for severe illumination variation face recognition. Multim. Tools Appl. 78(19): 27425-27447 (2019) - [j22]Xiwei Dong, Fei Wu, Xiao-Yuan Jing:
Semi-supervised multiple kernel intact discriminant space learning for image recognition. Neural Comput. Appl. 31(9): 5309-5326 (2019) - [j21]Xiwei Dong, Fei Wu, Xiao-Yuan Jing, Songsong Wu:
Multi-view Intact Discriminant Space Learning for Image Classification. Neural Process. Lett. 50(2): 1661-1685 (2019) - [c25]Zhiyong Wu, Fei Wu, Xiaokai Luo, Xiwei Dong, Cailing Wang, Xiao-Yuan Jing:
Modality Consistent Generative Adversarial Network for Cross-Modal Retrieval. PRCV (3) 2019: 3-14 - [c24]Jun Zhou, Fei Wu, Ying Sun, Songsong Wu, Min Yang, Xiao-Yuan Jing:
Adversarial Domain Alignment Feature Similarity Enhancement Learning for Unsupervised Domain Adaptation. PRCV (3) 2019: 259-271 - [c23]Juanjuan Li, Xiao-Yuan Jing, Fei Wu, Ying Sun, Yongguang Yang:
A Cost-Sensitive Shared Hidden Layer Autoencoder for Cross-Project Defect Prediction. PRCV (3) 2019: 491-502 - [c22]Fei Wu, Xiao-Yuan Jing, Jun Zhou, Yi-mu Ji, Chao Lan, Qinghua Huang, Ruchuan Wang:
Semi-supervised Multi-view Individual and Sharable Feature Learning for Webpage Classification. WWW 2019: 3349-3355 - 2018
- [j20]Zhiqiang Li, Xiao-Yuan Jing, Fei Wu, Xiaoke Zhu, Baowen Xu, Shi Ying:
Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction. Autom. Softw. Eng. 25(2): 201-245 (2018) - [j19]Zhi-Wu Zhang, Xiao-Yuan Jing, Fei Wu:
Low-rank representation for semi-supervised software defect prediction. IET Softw. 12(6): 527-535 (2018) - [j18]Lu Han, Xiao-Yuan Jing, Fei Wu:
Multi-view local discrimination and canonical correlation analysis for image classification. Neurocomputing 275: 1087-1098 (2018) - [j17]Xiwei Dong, Fei Wu, Xiao-Yuan Jing:
Generic Training Set based Multimanifold Discriminant Learning for Single Sample Face Recognition. KSII Trans. Internet Inf. Syst. 12(1): 368-391 (2018) - [j16]Lu Han, Fei Wu, Xiao-Yuan Jing:
Semi-supervised Multi-view Manifold Discriminant Intact Space Learning. KSII Trans. Internet Inf. Syst. 12(9): 4317-4335 (2018) - [j15]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. Knowl. Based Syst. 149: 76-87 (2018) - [j14]Fei Wu, Xiao-Yuan Jing, Ying Sun, Jing Sun, Lin Huang, Fangyi Cui, Yanfei Sun:
Cross-Project and Within-Project Semisupervised Software Defect Prediction: A Unified Approach. IEEE Trans. Reliab. 67(2): 581-597 (2018) - [c21]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. CCIS 2018: 855-859 - [c20]Zhiqiang Lu, Songsong Wu, Yurong Liu, Guangwei Gao, Fei Wu:
Diverse and Common Multi-View Subspace Clustering. CCIS 2018: 878-882 - [c19]Yi-mu 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. DSC 2018: 936-942 - [c18]Kun Wang, Songsong Wu, Yufeng Qiu, Fei Wu, Xiao-Yuan Jing:
Learning Semantic Double-Autoencoder with Attribute Constraint for Zero-Shot Recognition. IScIDE 2018: 123-134 - 2017
- [j13]Tiejian Wang, Fei Wu, Xiaoyuan Jing:
基于多核字典学习的软件缺陷预测 (Multiple Kernel Dictionary Learning for Software Defect Prediction). 计算机科学 44(12): 131-134 (2017) - [j12]Fei Wu, Xiao-Yuan Jing, Qian Liu, Songsong Wu, Guoliang He:
Large-scale image recognition based on parallel kernel supervised and semi-supervised subspace learning. Neural Comput. Appl. 28(3): 483-498 (2017) - [j11]Fei Wu, Xiao-Yuan Jing, Dong Yue:
Multi-view Discriminant Dictionary Learning via Learning View-specific and Shared Structured Dictionaries for Image Classification. Neural Process. Lett. 45(2): 649-666 (2017) - [j10]Xiaohua Liu, Xiao-Yuan Jing, Guijin Tang, Fei Wu, Qi Ge:
Image denoising using weighted nuclear norm minimization with multiple strategies. Signal Process. 135: 239-252 (2017) - [j9]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 Trans. Image Process. 26(3): 1363-1378 (2017) - [j8]Qi Ge, Xiao-Yuan Jing, Fei Wu, Zhi-Hui Wei, Liang Xiao, Wen-Ze Shao, Dong Yue, Haibo Li:
Structure-Based Low-Rank Model With Graph Nuclear Norm Regularization for Noise Removal. IEEE Trans. Image Process. 26(7): 3098-3112 (2017) - [j7]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 Trans. Software Eng. 43(4): 321-339 (2017) - [c17]Xiao-Yuan Jing, Fei Wu, Xiwei Dong, Shiguang Shan, Songcan Chen:
Semi-Supervised Multi-View Correlation Feature Learning with Application to Webpage Classification. AAAI 2017: 1374-1381 - [c16]Fei Wu, Xiao-Yuan Jing, Shiguang Shan, Wangmeng Zuo, Jing-Yu Yang:
Multiset Feature Learning for Highly Imbalanced Data Classification. AAAI 2017: 1583-1589 - [c15]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. AAAI 2017: 2970-2976 - [c14]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. AAAI 2017: 4341-4348 - [c13]Fei Wu, Xiao-Yuan Jing, Xiwei Dong, Jicheng Cao, Mingwei Xu, Hongyu Zhang, Shi Ying, Baowen Xu:
Cross-project and within-project semi-supervised software defect prediction problems study using a unified solution. ICSE (Companion Volume) 2017: 195-197 - [c12]Fei Wu, Xiao-Yuan Jing, Wangmeng Zuo, Ruiping Wang, Xiaoke Zhu:
Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set Based Classification. IJCAI 2017: 3069-3075 - 2016
- [j6]Fei Wu, Xiao-Yuan Jing, Yong-Fang Yao, Dong Yue, Jun Chen:
Group recursive discriminant subspace learning with image set decomposition. Neural Comput. Appl. 27(6): 1693-1706 (2016) - [j5]Fei Wu, Xiao-Yuan Jing, Xinge You, Dong Yue, Ruimin Hu, Jing-Yu Yang:
Multi-view low-rank dictionary learning for image classification. Pattern Recognit. 50: 143-154 (2016) - [j4]Xiao-Yuan Jing, Fei Wu, Xiaoke Zhu, Xiwei Dong, Fei Ma, Zhiqiang Li:
Multi-spectral low-rank structured dictionary learning for face recognition. Pattern Recognit. 59: 14-25 (2016) - [j3]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 Recognit. 60: 630-646 (2016) - [j2]