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ORCIDLai Wei 0001
Person information
- affiliation: Shanghai Maritime University, College of Information Engineering, China
- affiliation (PhD 2009): Tongji University, Department of Computer Science and Technology, Shanghai, China
Other persons with the same name
- Lai Wei — disambiguation page
- Lai Wei 0002
![[0000-0001-9684-2090]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9684-2090")
— Michigan State University, Department of Electrical and Computer Engineering, East Lansing, MI, USA - Lai Wei 0003 — Qualcomm Inc., Boulder, CO, USA (and 1 more)
- Lai Wei 0004 — University of New South Wales, School of Chemical Engineering, Sydney, NSW, Australia
- Lai Wei 0005 — Shanghai Jiao Tong University, Qing Yuan Research Institute, SEIEE, China
- Lai Wei 0006 — University of Essex, School of Computer Science and Electronic Engineering, Colchester, UK
- Lai Wei 0007 — Peking University, Department of Electronics, School of EECS, Beijing, China (and 1 more)
- Lai Wei 0008 — University of South Carolina, Department of Computer Science and Engineering, Columbia, SC, USA
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2020 – today
- 2024
[j31]Lai Wei, Shiteng Liu:
Cost-sensitive sparse subset selection. Int. J. Mach. Learn. Cybern. 15(4): 1503-1515 (2024)- [j30]Hai Lin, Jin Liu, Xingye Li, Lai Wei, Yuxin Liu, Bing Han, Zhongdai Wu:
DCEA: DETR With Concentrated Deformable Attention for End-to-End Ship Detection in SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 17292-17307 (2024) - [j29]Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu, Jin Liu:
Learning Idempotent Representation for Subspace Clustering. IEEE Trans. Knowl. Data Eng. 36(3): 1183-1197 (2024) - [c13]Jun Yin, Shiliang Sun, Lai Wei, Pei Wang:
Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. AAAI 2024: 16478-16485 - [c12]Lai Wei, Shanshan Song:
Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter. ICMR 2024: 776-784 - [c11]Lai Wei, Mingyuan Xi:
Subspace Clustering with A Hybrid Adaptive Graph Filter. ICMR 2024: 1070-1078 - 2023
- [j28]Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou:
A simple multiple-fold correlation-based multi-view multi-label learning. Neural Comput. Appl. 35(14): 10407-10420 (2023) - [j27]Jie Guo, Lai Wei:
Latent block diagonal representation for subspace clustering. Pattern Anal. Appl. 26(1): 333-342 (2023) - [c10]Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu:
Adaptive Graph Convolutional Subspace Clustering. CVPR 2023: 6262-6271 - [i2]Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu:
Adaptive Graph Convolutional Subspace Clustering. CoRR abs/2305.03414 (2023) - 2022
- [j26]Lai Wei, Fanfan Zhang, Zhengwei Chen, Rigui Zhou, Changming Zhu:
Subspace clustering via adaptive least square regression with smooth affinities. Knowl. Based Syst. 239: 107950 (2022) - [j25]Changming Zhu, Dujuan Cao, Shuaiping Guo, Rigui Zhou, Lai Wei, Yilin Dong, Duoqian Miao:
Weak-label-based global and local multi-view multi-label learning with three-way clustering. Int. J. Mach. Learn. Cybern. 13(5): 1337-1354 (2022) - [j24]Lai Wei, Fenfen Ji, Hao Liu, Rigui Zhou, Changming Zhu, Xiafen Zhang:
Subspace Clustering via Structured Sparse Relation Representation. IEEE Trans. Neural Networks Learn. Syst. 33(9): 4610-4623 (2022) - [i1]Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu:
Learning idempotent representation for subspace clustering. CoRR abs/2207.14431 (2022) - 2021
- [j23]Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lai Wei, Shuzhi Sam Ge:
Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition. IEEE Trans. Fuzzy Syst. 29(12): 3607-3619 (2021) - 2020
- [j22]Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang:
Global and local multi-view multi-label learning. Neurocomputing 371: 67-77 (2020) - [j21]Changming Zhu, Panhong Wang, Lin Ma, Rigui Zhou, Lai Wei:
Global and local multi-view multi-label learning with incomplete views and labels. Neural Comput. Appl. 32(18): 15007-15028 (2020) - [j20]Xiaobo Xiao, Lai Wei:
Robust Subspace Clustering via Latent Smooth Representation Clustering. Neural Process. Lett. 52(2): 1317-1337 (2020) - [j19]Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin:
Adaptive graph-regularized fixed rank representation for subspace segmentation. Pattern Anal. Appl. 23(1): 443-453 (2020) - [j18]Changming Zhu, Chao Chen, Rigui Zhou, Lai Wei, Xiafen Zhang:
A new multi-view learning machine with incomplete data. Pattern Anal. Appl. 23(3): 1085-1116 (2020) - [j17]Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei:
Weight-and-Universum-based semi-supervised multi-view learning machine. Soft Comput. 24(14): 10657-10679 (2020)
2010 – 2019
- 2019
- [j16]Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang:
Subspace segmentation via self-regularized latent K-means. Expert Syst. Appl. 136: 316-326 (2019) - [j15]Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu:
Latent graph-regularized inductive robust principal component analysis. Knowl. Based Syst. 177: 68-81 (2019) - [j14]Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding:
Semi-supervised one-pass multi-view learning. Neural Comput. Appl. 31(11): 8117-8134 (2019) - [j13]Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafeng Zhang:
An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation. Neural Process. Lett. 50(2): 1035-1050 (2019) - [c9]Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei:
Improved Multi-view Multi-label Learning with Incomplete Views and Labels. ICDM Workshops 2019: 689-696 - [c8]Lai Wei, Hao Liu:
Robust Subspace Segmentation via Sparse Relation Representation. PRCV (3) 2019: 27-37 - 2018
- [j12]Jun Yin, Zhihui Lai, Weiming Zeng, Lai Wei:
Local sparsity preserving projection and its application to biometric recognition. Multim. Tools Appl. 77(1): 1069-1092 (2018) - [j11]Lai Wei, Xiaofeng Wang, Aihua Wu, Rigui Zhou, Changming Zhu:
Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation. Neural Process. Lett. 48(3): 1671-1691 (2018) - [j10]Ri-Gui Zhou, XingAo Liu, Changming Zhu, Lai Wei, Xiafen Zhang, Hou Ian:
Similarity analysis between quantum images. Quantum Inf. Process. 17(6): 121 (2018) - 2017
- [j9]Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu:
Self-regularized fixed-rank representation for subspace segmentation. Inf. Sci. 412: 194-209 (2017) - 2016
- [j8]Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu:
Spectral clustering steered low-rank representation for subspace segmentation. J. Vis. Commun. Image Represent. 38: 386-395 (2016) - [j7]Jun Yin, Weiming Zeng, Lai Wei:
Optimal feature extraction methods for classification methods and their applications to biometric recognition. Knowl. Based Syst. 99: 112-122 (2016) - [j6]Jun Yin, Lai Wei, Miao Song, Weiming Zeng:
Optimized projection for Collaborative Representation based Classification and its applications to face recognition. Pattern Recognit. Lett. 73: 83-90 (2016) - 2015
- [j5]Lai Wei, Aihua Wu, Jun Yin:
Latent space robust subspace segmentation based on low-rank and locality constraints. Expert Syst. Appl. 42(19): 6598-6608 (2015) - 2014
- [j4]Lai Wei, Feifei Xu, Aihua Wu:
Weighted discriminative sparsity preserving embedding for face recognition. Knowl. Based Syst. 57: 136-145 (2014) - [j3]Lai Wei, Feifei Xu, Jun Yin, Aihua Wu:
Kernel locality-constrained collaborative representation based discriminant analysis. Knowl. Based Syst. 70: 212-220 (2014) - [c7]Lai Wei:
Optimal Subspace Learning for Sparse Representation Based Classifier via Discriminative Principal Subspaces Alignment. RSKT 2014: 320-331 - 2012
- [j2]Lai Wei, Feifei Xu:
Local CCA alignment and its applications. Neurocomputing 89: 78-88 (2012) - [c6]Lai Wei, Feifei Xu:
Adaptively weighted subpattern-based sparse preserving projection for face recognition. FSKD 2012: 1386-1390 - 2011
- [c5]Lai Wei, Weiming Zeng, Feifei Xu:
Adaptively Weighted Subpattern-Based Isometric Projection for Face Recognition. AICI (3) 2011: 554-561 - [c4]Feifei Xu, Weiguo Pan, Lai Wei, Haizhou Du:
An Efficient Fuzzy Rough Approach for Feature Selection. RSKT 2011: 95-100
2000 – 2009
- 2009
- [j1]Feifei Xu, Duoqian Miao, Lai Wei:
Fuzzy-rough attribute reduction via mutual information with an application to cancer classification. Comput. Math. Appl. 57(6): 1010-1017 (2009) - [c3]Feifei Xu, Duoqian Miao, Yiyu Yao, Lai Wei:
Analyzing skill sets with or-relation tables in knowledge spaces. IEEE ICCI 2009: 174-180 - 2007
- [c2]Feifei Xu, Duoqian Miao, Lai Wei:
An Approach for Fuzzy-Rough Sets Attributes Reduction via Mutual Information. FSKD (3) 2007: 107-112 - 2006
- [c1]Lai Wei, Duoqian Miao:
Application of Granular Computing in Knowledge Reduction. RSKT 2006: 357-362
Coauthor Index
aka: Ri-Gui Zhou
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