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Lei Jia 0002
Person information
- affiliation: Soochow University, School of Computer Science and Technology, Suzhou, China
Other persons with the same name
- Lei Jia — disambiguation page
- Lei Jia 0001 — Hunan Normal University, Key Laboratory of Intelligent Computing and Language Information Processing, Changsha, China (and 1 more)
- Lei Jia 0003
— Shandong University, Institute of Marine Science and Technology, Qingdao, China - Lei Jia 0004
— University of Electronic Science and Technology of China (UESTC), Chengdu, China - Lei Jia 0005 — Shanghai Jiao Tong University, School of Mechanical Engineering, Shanghai, China
- Lei Jia 0006
— University of Aizu, Graduate School of Computer Science and Engineering, Aizuwakamatsu, Japan
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2020 – today
- 2020
[c7]Lei Jia, Huan Zhang, Zhao Zhang:
Adaptive Multiple-View Label Propagation for Semi-supervised Classification. NCAA 2020: 1-11
2010 – 2019
- 2019
[j5]Zhao Zhang
, Lei Jia, Mingbo Zhao
, Guangcan Liu
, Meng Wang
, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. IEEE Trans. Big Data 5(2): 148-165 (2019)
[i1]Zhao Zhang, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang, Shuicheng Yan:
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification. CoRR abs/1905.12236 (2019)- 2018
[j4]Zhao Zhang
, Lei Jia, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Adaptive non-negative projective semi-supervised learning for inductive classification. Neural Networks 108: 128-145 (2018)
[j3]Zhao Zhang
, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang, Shuicheng Yan:
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3388-3403 (2018)- 2017
[j2]Zhao Zhang
, Lei Wang, Lei Jia, Fanzhang Li, Li Zhang, Mingbo Zhao:
Projective label propagation by label embedding: A deep label prediction framework for representation and classification. Knowl. Based Syst. 119: 94-112 (2017)
[j1]Zhao Zhang
, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li:
Discriminative clustering on manifold for adaptive transductive classification. Neural Networks 94: 260-273 (2017)- 2016
[c6]Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, Ming-Bo Zhao:
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification. ICDM 2016: 201-210
[c5]Lei Jia, Zhao Zhang
, Yan Zhang:
Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation. ICONIP (3) 2016: 375-384
[c4]Yan Zhang, Zhao Zhang
, Lei Jia, Fanzhang Li:
Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding. IJCNN 2016: 3758-3764
[c3]Zhao Zhang
, Weiming Jiang, Lei Jia, Mingbo Zhao, Fanzhang Li:
Latent label consistent K-SVD for joint machine faults representation and classification. INDIN 2016: 794-799
[c2]Lei Jia, Zhao Zhang
, Weiming Jiang:
Transductive Classification by Robust Linear Neighborhood Propagation. PCM (1) 2016: 296-305- 2015
[c1]Zhao Zhang
, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia:
Projective Label Propagation by Label Embedding. CAIP (2) 2015: 470-481
Coauthor Index

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