Lai Wei - RankMe

60 papers A* 3B 2Journal 46Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Clustering with Self-Learned Graph Regression. AAAI Lai Wei, Jin Liu
2026	J	`jnl`	Hypergraph-based multi-scale spatio-temporal graph convolution network for traffic forecasting. Int. J. Mach. Learn. Cybern. Yeqing Lin, Lai Wei, Longfei Hu
2026	J	`jnl`	Towards robust sentiment analysis with multimodal interaction graph and hybrid contrastive learning. Pattern Recognit. Peizhu Gong, Jin Liu, Xiliang Zhang, Xingye Li, Lai Wei, Huihua He
2025	J	`jnl`	A spatial-temporal trend-event decoupling dual-channel framework for traffic flow prediction. Expert Syst. Appl. Yuehai Xu, Lai Wei, Lu Feng
2025	J	`jnl`	AGT-Net: It Takes Two to Tango in Long-Term Person Reidentification. IEEE Trans. Comput. Soc. Syst. Zijun Yu, Jin Liu, Peizhu Gong, Xingye Li, Lai Wei, Huihua He, Zhongdai Wu
2025	J	`jnl`	Decomposition dynamic multi-graph convolutional recurrent network for traffic forecasting. Appl. Intell. Longfei Hu, Lai Wei, Yeqing Lin
2025	J	`jnl`	Goal-driven long-term marine vessel trajectory prediction with a memory-enhanced network. Expert Syst. Appl. Xiliang Zhang, Jin Liu, Chengcheng Chen, Lai Wei, Zhongdai Wu, Wenjuan Dai
2025	J	`jnl`	HS-SocialRec: A Study on Boosting Social Recommendations with Hard Negative Sampling in LightGCN. Inf. Ziping Sheng, Lai Wei
2025	J	`jnl`	Predicting trajectories of coastal area vessels with a lightweight Slice-Diff self attention. Complex Intell. Syst. Jinxu Zhang, Jin Liu, Xiliang Zhang, Lai Wei, Zhongdai Wu, Junxiang Wang
2025	J	`jnl`	Purely Contrastive Multiview Subspace Clustering. IEEE Trans. Cybern. Lai Wei, Kexin Li, Rigui Zhou, Jin Liu
2025	J	`jnl`	SegCoT: Dependable Intrusion Detection System Based on Segment-Wise CoTransformer for Ship Communication Networks. IEEE Trans. Netw. Serv. Manag. Qiangqiang Shi, Jin Liu, Lai Wei, Jiajia Jiao, Bing Han, Zhongdai Wu
2025	J	`jnl`	Spatio-temporal Fourier dynamic graph convolution network for traffic forecasting. Int. J. Mach. Learn. Cybern. Longfei Hu, Lai Wei, Yeqing Lin
2025	J	`jnl`	Vessel re-identification by a hierarchical perceptual aggregation network with inclination-aware attention. Comput. J. Yuetian Cao, Jin Liu, Zijun Yu, Xingye Li, Lai Wei, Zhongdai Wu
2024	J	`jnl`	Cost-sensitive sparse subset selection. Int. J. Mach. Learn. Cybern. Lai Wei, Shiteng Liu
2024	J	`jnl`	DCEA: DETR With Concentrated Deformable Attention for End-to-End Ship Detection in SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Hai Lin, Jin Liu, Xingye Li, Lai Wei, Yuxin Liu, Bing Han, Zhongdai Wu
2024	A*	`conf`	Discriminatively Fuzzy Multi-View K-means Clustering with Local Structure Preserving. AAAI Jun Yin, Shiliang Sun, Lai Wei, Pei Wang
2024	J	`jnl`	Exploiting Discriminating Features for Fine-Grained Ship Detection in Optical Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Ying Liu, Jin Liu, Xingye Li, Lai Wei, Zhongdai Wu, Bing Han, Wenjuan Dai
2024	J	`jnl`	Learning Idempotent Representation for Subspace Clustering. IEEE Trans. Knowl. Data Eng. Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu, Jin Liu
2024	B	`conf`	Multi-view Subspace Clustering via An Adaptive Consensus Graph Filter. ICMR Lai Wei, Shanshan Song
2024	B	`conf`	Subspace Clustering with A Hybrid Adaptive Graph Filter. ICMR Lai Wei, Mingyuan Xi
2023	J	`jnl`	A simple multiple-fold correlation-based multi-view multi-label learning. Neural Comput. Appl. Changming Zhu, Jiyun Zhao, Shizhe Hu, Yilin Dong, Lei Cao, Fan Zhou, Yuhu Shi, Lai Wei, Rigui Zhou
2023	A*	`conf`	Adaptive Graph Convolutional Subspace Clustering. CVPR Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu
2023	J	`jnl`	Adaptive Graph Convolutional Subspace Clustering. CoRR Lai Wei, Zhengwei Chen, Jun Yin, Changming Zhu, Rigui Zhou, Jin Liu
2023	J	`jnl`	Latent block diagonal representation for subspace clustering. Pattern Anal. Appl. Jie Guo, Lai Wei
2022	J	`jnl`	Learning idempotent representation for subspace clustering. CoRR Lai Wei, Shiteng Liu, Rigui Zhou, Changming Zhu
2022	J	`jnl`	Subspace Clustering via Structured Sparse Relation Representation. IEEE Trans. Neural Networks Learn. Syst. Lai Wei, Fenfen Ji, Hao Liu, Rigui Zhou, Changming Zhu, Xiafen Zhang
2022	J	`jnl`	Subspace clustering via adaptive least square regression with smooth affinities. Knowl. Based Syst. Lai Wei, Fanfan Zhang, Zhengwei Chen, Rigui Zhou, Changming Zhu
2022	J	`jnl`	Weak-label-based global and local multi-view multi-label learning with three-way clustering. Int. J. Mach. Learn. Cybern. Changming Zhu, Dujuan Cao, Shuaiping Guo, Rigui Zhou, Lai Wei, Yilin Dong, Duoqian Miao
2021	J	`jnl`	Evidential Reasoning With Hesitant Fuzzy Belief Structures for Human Activity Recognition. IEEE Trans. Fuzzy Syst. Yilin Dong, Xinde Li, Jean Dezert, Rigui Zhou, Changming Zhu, Lai Wei, Shuzhi Sam Ge
2020	J	`jnl`	A new multi-view learning machine with incomplete data. Pattern Anal. Appl. Changming Zhu, Chao Chen, Rigui Zhou, Lai Wei, Xiafen Zhang
2020	J	`jnl`	Adaptive graph-regularized fixed rank representation for subspace segmentation. Pattern Anal. Appl. Lai Wei, Rigui Zhou, Changming Zhu, Xiafen Zhang, Jun Yin
2020	J	`jnl`	Global and local multi-view multi-label learning with incomplete views and labels. Neural Comput. Appl. Changming Zhu, Panhong Wang, Lin Ma, Rigui Zhou, Lai Wei
2020	J	`jnl`	Global and local multi-view multi-label learning. Neurocomputing Changming Zhu, Duoqian Miao, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang
2020	J	`jnl`	Robust Subspace Clustering via Latent Smooth Representation Clustering. Neural Process. Lett. Xiaobo Xiao, Lai Wei
2020	J	`jnl`	Weight-and-Universum-based semi-supervised multi-view learning machine. Soft Comput. Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei
2019	J	`jnl`	An Improved Structured Low-Rank Representation for Disjoint Subspace Segmentation. Neural Process. Lett. Lai Wei, Yan Zhang, Jun Yin, Rigui Zhou, Changming Zhu, Xiafeng Zhang
2019	—	`conf`	Improved Multi-view Multi-label Learning with Incomplete Views and Labels. ICDM Workshops Changming Zhu, Duoqian Miao, Rigui Zhou, Lai Wei
2019	J	`jnl`	Latent graph-regularized inductive robust principal component analysis. Knowl. Based Syst. Lai Wei, Rigui Zhou, Jun Yin, Changming Zhu, Xiafen Zhang, Hao Liu
2019	—	`conf`	Robust Subspace Segmentation via Sparse Relation Representation. PRCV (3) Lai Wei, Hao Liu
2019	J	`jnl`	Semi-supervised one-pass multi-view learning. Neural Comput. Appl. Changming Zhu, Zhe Wang, Rigui Zhou, Lai Wei, Xiafen Zhang, Yi Ding
2019	J	`jnl`	Subspace segmentation via self-regularized latent Expert Syst. Appl. Lai Wei, Rigui Zhou, Xiaofeng Wang, Changming Zhu, Jun Yin, Xiafen Zhang
2018	J	`jnl`	Local sparsity preserving projection and its application to biometric recognition. Multim. Tools Appl. Jun Yin, Zhihui lai, Weiming Zeng, Lai Wei
2018	J	`jnl`	Robust Subspace Segmentation by Self-Representation Constrained Low-Rank Representation. Neural Process. Lett. Lai Wei, Xiaofeng Wang, Aihua Wu, Rigui Zhou, Changming Zhu
2018	J	`jnl`	Similarity analysis between quantum images. Quantum Inf. Process. Ri-Gui Zhou, XingAo Liu, Changming Zhu, Lai Wei, Xiafen Zhang, Hou Ian
2017	J	`jnl`	Self-regularized fixed-rank representation for subspace segmentation. Inf. Sci. Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu
2016	J	`jnl`	Optimal feature extraction methods for classification methods and their applications to biometric recognition. Knowl. Based Syst. Jun Yin, Weiming Zeng, Lai Wei
2016	J	`jnl`	Optimized projection for Collaborative Representation based Classification and its applications to face recognition. Pattern Recognit. Lett. Jun Yin, Lai Wei, Miao Song, Weiming Zeng
2016	J	`jnl`	Spectral clustering steered low-rank representation for subspace segmentation. J. Vis. Commun. Image Represent. Lai Wei, Xiaofeng Wang, Jun Yin, Aihua Wu
2015	J	`jnl`	Latent space robust subspace segmentation based on low-rank and locality constraints. Expert Syst. Appl. Lai Wei, Aihua Wu, Jun Yin
2014	J	`jnl`	Kernel locality-constrained collaborative representation based discriminant analysis. Knowl. Based Syst. Lai Wei, Feifei Xu, Jun Yin, Aihua Wu
2014	—	`conf`	Optimal Subspace Learning for Sparse Representation Based Classifier via Discriminative Principal Subspaces Alignment. RSKT Lai Wei
2014	J	`jnl`	Weighted discriminative sparsity preserving embedding for face recognition. Knowl. Based Syst. Lai Wei, Feifei Xu, Aihua Wu
2012	—	`conf`	Adaptively weighted subpattern-based sparse preserving projection for face recognition. FSKD Lai Wei, Feifei Xu
2012	J	`jnl`	Local CCA alignment and its applications. Neurocomputing Lai Wei, Feifei Xu
2011	—	`conf`	Adaptively Weighted Subpattern-Based Isometric Projection for Face Recognition. AICI (3) Lai Wei, Weiming Zeng, Feifei Xu
2011	—	`conf`	An Efficient Fuzzy Rough Approach for Feature Selection. RSKT Feifei Xu, Weiguo Pan, Lai Wei, Haizhou Du
2009	—	`conf`	Analyzing skill sets with or-relation tables in knowledge spaces. IEEE ICCI Feifei Xu, Duoqian Miao, Yiyu Yao, Lai Wei
2009	J	`jnl`	Fuzzy-rough attribute reduction via mutual information with an application to cancer classification. Comput. Math. Appl. Feifei Xu, Duoqian Miao, Lai Wei
2007	—	`conf`	An Approach for Fuzzy-Rough Sets Attributes Reduction via Mutual Information. FSKD (3) Feifei Xu, Duoqian Miao, Lai Wei
2006	—	`conf`	Application of Granular Computing in Knowledge Reduction. RSKT Lai Wei, Duoqian Miao