†: Corresponding author.

2025

• Xiliang Zhang, Jin Liu, Chengcheng Chen, Lai Wei, Zhongdai Wu, Wenjuan Dai, Goal-driven long-term marine vessel trajectory prediction with a memory-enhanced network, Expert Systems and Applications, 2025, 263: 125715.

2024

• Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu, Learning idempotent representation for subspace clustering, IEEE Transactions on Knowledge and Data Engineering, 2024, 36(3): 1183-1197. <link> <code>

• Lai Wei, Shiteng Liu, Cost-sensitive sparse subset selection, International Journal of Machine Learning and Cybernetics, 2024, 15(4): 1503-1515. <link>.

• Lai Wei, Shanshan Song, Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter, International Conference on Multimedia Retrieval (ICMR'24), Phuket, Thailand, 2024, pp. 776-784. <link>

• Lai Wei, Mingyuan Xi, Subspace Clustering with A Hybrid Adaptive Graph Filter, International Conference on Multimedia Retrieval (ICMR'24), Phuket, Thailand, 2024, pp. 1070-1078. <link>

• Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Lai Wei, Huihua He, Adaptive Multimodal Graph Integration Network for Multimodal Sentiment Analysis, IEEE Transactions on Audio, Speech and Language Processing, 2024, 33: 23-36.

• Ying Liu, Jin Liu, Xingye Li, Lai Wei, Zhongdai Wu, Bing Han, Wenjuan Dai, Exploiting Discriminating Features for Fine-Grained Ship Detection in Optical Remote Sensing Images, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 20098-20115.

• 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 Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024, 17: 17292-17307.

• Jun Yin, Shiliang Sun, Lai Wei, Peng Wang, Discriminatively fuzzy multi-view k-means clustering with local structure preserving, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, 2024, pp.16478-16485.

2023

• Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu, Adaptive graph convolutional subspace clustering, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'23), Vancouver, Canda, June, 2023, pp. 6262-6271. (Acceptance Rates: 2360/9155=25.8%) <code>

• Jie Guo, Lai Wei^†, Latent block diagonal representation for subspace clustering, Pattern Analysis and Applications, 2023, 26, 333-342, <link>.

• 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 Computing and Applications, 2023, 35(14): 10407-10420.

2022

• Lai Wei, Fanfan Zhang, Zhengwei Chen, Rigui Zhou, Changming Zhu, Subspace clustering via adaptive least square regression with smooth affinities, Knowledge-Based Systems, 239, 5 March 2022, 107950.<link>.

• Lai Wei, Fenfen Ji, Hao Liu, Rigui Zhou, Changming Zhu, Xiafen Zhang, Subspace Clustering via Structured Sparse Relation Representation, IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(9): 4610-4623, <link>.

• 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, International Journal of Machine Learning and Cybernetics, 13(5): 1337-1354.

2021

• Yiling 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 Transactions on Fuzzy Systems, 2021, 29(12): 3607-3619.

2020

• Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin, Adaptive Graph regularized Fixed Rank Representation for Subspace Segmentation, Pattern Analysis and Applications, 2020, 23: 443-453.

• Xiaobo Xiao, Lai Wei^†, Robust Subspace Clustering via Latent Smooth Representation Clustering, Neural Processing Letters, 2020, 52: 1317-1337.

• Shujun Liu, Lai Wei^†, Block Integration based Image Clustering, Computer Sciences, 2020, 47(6): 170-175. (In Chinese)

• Changming Zhu, Panhong Wang, Lin Ma, Rigui Zhou, Lai Wei, Global and Local Multi-view Multi-label Learning with Incomplete Views and Labels, Neural Computing and Applications, 2020, 32: 15007-15028.

• Changming Zhu, Chao Chen, Rigui Zhou, Lai Wei, Xiafen Zhang, A New Multi-View Learning Machine with Incomplete Data, Pattern Analysis and Applications,2020, 23: 1085-1116.

• Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei, Weight-and-Universum based Semi-supervised Multi-view Learning Machine, Soft Computing, 2020, 24(14): 10657-10679.

• Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Global and Local Multi-view Multi-label Learning, Neurocomputing, 2020, 371: 67-77.

2019

• Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang, Subspace Segmentation via Self-regularized Latent K-means, Expert Systems with Applications, 2019, 163(1): 316-326.

• Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu, Latent Graph-regularized Inductive Robust Principal Component Analysis,Knowledge-based Systems, 2019, 177(1): 68-81.

• Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafen Zhang, An Improved Structured Low-rank Representation for Disjoint Subspace Segmentation, Neural Processing Letters, 2019, 50: 1035-1050.

• Lai Wei, Hao Liu, Robust subspace segmentation via sparse relation representation,The 2nd Chinese Conference on Pattern Recognition and Computer Vision (PRCV'19), 2019.11.8-2019.11.11.

• Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding (2019) Semi-supervised One-pass Multi-view Learning, Neural Computing and Applications, 31(11): 8117-8134.

• Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei, Improved Multi-view Multi-label Learning with Incomplete Views and Labels, ICDM Workshops, 2019: 689-696.

2018

• Lai Wei, Xiaofeng Wang, Aihua Wu, Rigui Zhou, Changming Zhu, Robust Subspace Segmentation by Self-representation Constrained Low-rank Representation, Neural Processing Letters, 2018, 48(3): 1671-1691.

• Jun Yin, Zhihui Lai, Weiming Zeng, Lai, Wei, Local Sparsity Preserving Projection and Its Application to Biometric Recognition, Multimedia Tools and Applications, 2018, 77(1): 1069-1092.

• Rigui Zhou, XingAo Liu, Changming Zhu, Lai, Wei, Xiafen Zhang, Hou Ian, Similarity analysis between quantum images, Quantum Information Processing, 17(6): 121 (2018)

2017

• Lai Wei, Xiaofeng Wang, Jun Yin, Auhua Wu, Self-regularized Fixed-rank Representation for Subspace Segmentation, Information Sciences, 2017, 412-412: 194-209.

2016

• Lai Wei, Xiaofeng Wang, Jun Yin, Auhua Wu, Spectral Clustering Steered Low-rank Representation for Subspace Segmentation, Journal of Visual Communication and Image Representation, 2016, 38: 386-395.

• Jun Yin, Weiming Zeng, Lai Wei, Optimal feature extraction methods for classification methods and their applications to biometric recognition. Knowledge-Based Systems, 2016, 99: 112-122.

• Jun Yin, Lai Wei, Miao Song, Weiming Zeng, Optimized projection for Collaborative Representation based Classification and its applications to face recognition. Pattern Recognition Letters, 2016, 73: 83-90.

2015

• Lai Wei, Auhua Wu, Jun Yin, Latent Space Robust Subspace Segmentation Based on Low-rank and Locality Constraints, Expert Systems with Applications, 2015, 42(19): 6598-6608.

2014

• Lai Wei, Feifei Xu, Jun Yin, Auhua Wu, Kernel Locality-constrained Collaborative Representation Based Discriminant Analysis,Knowledge-based Systems, 2014, 70: 212-220.

• Lai Wei, Feifei Xu, Auhua Wu, Kernel Weighted Discriminative Sparsity Preserving Embedding for Face Recognition, Knowledge-based Systems, 2014, 57(2): 136-145.

• Lai Wei, Feifei Xu, Feature Extraction by Integrated Global and Local Discriminator, Journal of Computational Information Systems, 2014, 10(7): 2719-2726.

• Lai Wei, Optimal subspace learning for sparse representation based classifier via discriminative principal subspaces alignment, The 9th International Conference on Rough Sets and Knowledge Technology (RSKT'14),2014.10.25-2014.10.26.

2012

• Lai Wei, Feifei Xu, Local CCA Alignment and Its Applications, Neurocomputing, 2012, 89(15): 78-88.

• Lai Wei, Feifei Xu, An Constructive Algorithm of Multi-Weight Neuron Covering Networks, Chinese Journal of Computers, 2012, 35(5):1031-1037. (In Chinese)

• Duoqian Miao, Yiyu Yao,Feifei Xu Lai Wei, Set-Theoretic Formulation of Granular Computing, Chinese Journal of Computers, 2012, 35(2): 351-363. (In Chinese)

• Lai Wei, Feifei Xu, Adaptively weighted subpattern-based sparse preserving projection for face recognition, In: Proceeding of The 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'12), 29-31 May, 2012, 1394-1403.

• Lai Wei, Feifei Xu, Improved KL (K-means-Laplacian) clustering with sparse graphs, In: Proceeding of The Second International Conference on Multimedia and Signal Processing (CMSP'12) , Shanghai, China, December 7-9, 2012, 506-513.

2011

• Lai Wei, Weiming Zeng, Feifei Xu, Adaptively weighted subpattern-based isometric projection for face recognition, In: Proceeding of The Third International Conference on Artificial Intelligence and Computational Intelligence (AICI'11), Taiyuan, China, September 24-25, 2011, 554-561.

Before 2010

• Lai Wei, Shoujue Wang, Semi-supervised Discriminant Analysis Based on Manifold Distance, Journal of Software, 2010, 21(10): 2445-2453. (In Chinese)

• Lai Wei, Weiming Zeng, Hong Wang, K-means clustering with manifold, In: Proceeding of The Seventh International Conference on Fuzzy Systems and Knowledge Discovery (FSKD'10), 10-12 Aug. 2010, Yantai, Shandong, 2095-2099.

• Lai Wei, Path-based relative similarity spectral clustering, In: Proceeding of The Second Global Congress on Intelligent Systems (GCIS'10), 16-17 December 2010, Wuhan, China, 115-118.

• Lai Wei, Shoujue Wang, Feifei Xu, Neighborhood Margin Fisher Discriminant Analysis, Journal of Electronics & Information Technology, 2009, 31(3): 509-512. (In Chinese)

• Feifei Xu, Duoqian Miao, Yiyu Yao, Lai Wei, Analyzing skill sets with or-relation tables in knowledge spaces, IEEE ICCI 2009, 174-180.

• FeiFei Xu, DuoQian Miao, Lai Wei, Fuzzy-rough Attribute Reduction Via Mutual Information With An Application to Cancer Classification, Computer and Mathematics with Applications, 2009, 57(6): 1010-1017.

• Feifei Xu Duoqian Miao, Lai Wei, Qingrong Feng, Yusheng Bi, Mutual Information-based Algorithm for Fuzzy-Rough Attribute Reduction, Journal of Electronics & Information Technology, 2008, 30(6):1372-1375. (In Chinese)

• Lai Wei, Duoqian Miao, Feifei Xu, Fuchun Xia, Researches on A Covering Rough Fuzzy Set Model, Journal of Computer Research and Development, 2006, 43(10): 1719-1723. (In Chinese)

• Lai Wei, Duoqian Miao, Application of granular computing in knowledge reduction, In: Proceeding of The First International Conference on Rough Sets and Knowledge Technology (RSKT'06), Chongqing, China, July 24-26, 2006, (4062): 357-362.