Zhenwen Ren

发表

Incomplete multi-view subspace clustering based on missing-sample recovering and structural information learning

Chuanyun Zou, Xuemei Han, Zhenwen Ren, 2022, Expert Syst. Appl..

Robust Kernelized Multi-View Clustering Based on High-order Similarity Learning

Yanhua Shao, Yanying Mei, Bin Wu, 2022, IEEE Access.

Scale-flow: Estimating 3D Motion from Video

Hongyuan Wang, Yazhou Liu, Zhenwen Ren, 2022, ACM Multimedia.

Clustering via multiple kernel k-means coupled graph and enhanced tensor learning

Zhenwen Ren, Xiaojian You, Jiali You, 2022, Applied Intelligence.

Yanhua Shao, Yanying Mei, Bin Wu, 2022, Pattern Recognit..

Joint latent low-rank and non-negative induced sparse representation for face recognition

Zhenwen Ren, Ling Wang, Mingna Wu, 2021, Applied Intelligence.

Consensus Affinity Graph Learning for Multiple Kernel Clustering

Zhenwen Ren, Tao Wang, Quansen Sun, 2020, IEEE Transactions on Cybernetics.

Robust energy preserving embedding for multi-view subspace clustering

Zhenwen Ren, Haoran Li, Mithun Mukherjee, 2020, Knowl. Based Syst..

Learning Latent Low-Rank and Sparse Embedding for Robust Image Feature Extraction

Zhenwen Ren, Bin Wu, Quansen Sun, 2020, IEEE Transactions on Image Processing.

Multiple kernel clustering with pure graph learning scheme

Zhenwen Ren, Quansen Sun, Xingfeng Li, 2020, Neurocomputing.

Multiple kernel low-rank representation-based robust multi-view subspace clustering

Zhenwen Ren, Huaijiang Sun, Keqiang Bai, 2020, Inf. Sci..

Feature and Semantic Views Consensus Hashing for Image Set Classification

Dezhong Peng, Zhenwen Ren, Haixiao Huang, 2022, ACM Multimedia.

Robust graph-based multi-view clustering in latent embedding space

Yanying Mei, Bin Wu, Yanhua Shao, 2021, Int. J. Mach. Learn. Cybern..

Robust graph-based multi-view clustering in latent embedding space

Yanhua Shao, Yanying Mei, Bin Wu, 2021, International Journal of Machine Learning and Cybernetics.

Multiple Kernel Clustering with Kernel k-Means Coupled Graph Tensor Learning

Zhenwen Ren, Quansen Sun, Dong Wei, 2021, AAAI.

Multiple Kernel Driven Clustering With Locally Consistent and Selfish Graph in Industrial IoT

Jaime Lloret, Zhenwen Ren, Mithun Mukherjee, 2021, IEEE Transactions on Industrial Informatics.

Multikernel Clustering via Non-Negative Matrix Factorization Tailored Graph Tensor Over Distributed Networks

Mehdi Bennis, Jaime Lloret, Zhenwen Ren, 2020, IEEE Journal on Selected Areas in Communications.

Simultaneous Global and Local Graph Structure Preserving for Multiple Kernel Clustering

Zhenwen Ren, Quansen Sun, Quansen Sun, 2020, IEEE Transactions on Neural Networks and Learning Systems.

Consensus Cluster Center Guided Latent Multi-Kernel Clustering

Zhenwen Ren, Xingfeng Li, Quansen Sun, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

Cluster center consistency guided sampling learning for multiple kernel clustering

Yuancheng Yao, Zhenwen Ren, Xiaojian You, 2022, Inf. Sci..

Auto-weighted Tensor Schatten p-Norm for Robust Multi-view Graph Clustering

Zhenwen Ren, Xingfeng Li, Quansen Sun, 2022, Pattern Recognit..

Tensorized Anchor Graph Learning for Large-scale Multi-view Clustering

Hong Song, Jian Yang, Zhenwen Ren, 2023, Cognitive Computation.

Robust multi-view graph clustering in latent energy-preserving embedding space

Zhenwen Ren, Xingfeng Li, Mithun Mukherjee, 2021, Inf. Sci..

Dynamic Incomplete Multi-view Imputing and Clustering

Zhenwen Ren, Xingfeng Li, Quansen Sun, 2022, ACM Multimedia.

Multi-view Clustering with Latent Low-rank Proxy Graph Learning

Hong Song, Jian Yang, Jian Dai, 2021, Cogn. Comput..

Fast Convergence Time Synchronization in Wireless Sensor Networks Based on Average Consensus

Simon X. Yang, Zhenwen Ren, Xianguo Tuo, 2020, IEEE Transactions on Industrial Informatics.

Robust low-rank kernel multi-view subspace clustering based on the Schatten p-norm and correntropy

Zhenwen Ren, Huaijiang Sun, Xiaoqian Zhang, 2019, Inf. Sci..

Robust multi-view low-rank embedding clustering

Jian Yang, Hong Song, Zhenwen Ren, 2022, Neural computing & applications (Print).

Multi-view clustering with dual tensors

Y. Mi, Zhenwen Ren, Quansen Sun, 2022, Neural Computing and Applications.

Only Once Attack: Fooling the Tracker With Adversarial Template

Zhenwen Ren, Quansen Sun, Chaobo Li, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

Approximate Shifted Laplacian Reconstruction for Multiple Kernel Clustering

Zhenwen Ren, Xingfeng Li, Quansen Sun, 2022, ACM Multimedia.

Adaptive graph guided concept factorization on Grassmann manifold

Xizhan Gao, Dong Wei, Quansen Sun, 2021, Inf. Sci..

Face image set classification with self-weighted latent sparse discriminative learning

Yuan Sun, Zhenwen Ren, Chao Yang, 2020, Neural Computing and Applications.

Cross-view Graph Matching guided Anchor Alignment for incomplete multi-view clustering

Zhenwen Ren, Xingfeng Li, Quansen Sun, 2023, Information Fusion.

Priori Anchor Labels Supervised Scalable Multi-View Bipartite Graph Clustering

Yuancheng Yao, Zhenwen Ren, Xiaojian You, 2023, AAAI.

Center consistency guided multi-view embedding anchor learning for large-scale graph clustering

Zhenwen Ren, Chao Yang, Xinyue Zhang, 2023, Knowledge-Based Systems.

Robust Multi-View Subspace Clustering Via Weighted Multi-Kernel Learning and Co-Regularization

Zhenwen Ren, Yinlong Xu, Xiaoqian Zhang, 2020, IEEE Access.

Multi-scale deep multi-view subspace clustering with self-weighting fusion and structure preserving

Hongying Zhang, Bin Wu, Zhenwen Ren, 2022, Expert Syst. Appl..

Diversity and consistency embedding learning for multi-view subspace clustering

Zhenwen Ren, Mithun Mukherjee, Yuqing Huang, 2021, Applied Intelligence.

Hierarchical Hashing Learning for Image Set Classification

Xiaobo Shen, Xu Wang, Dezhong Peng, 2023, IEEE Transactions on Image Processing.

Enforced Block Diagonal Graph Learning for Multikernel Clustering

Zhenwen Ren, Xingfeng Li, Quansen Sun, 2023, IEEE Transactions on Computational Social Systems.

One-Stage Shifted Laplacian Refining for Multiple Kernel Clustering

Zhenwen Ren, Xiaojian You, Jiali You, 2023, IEEE Transactions on Neural Networks and Learning Systems.

Hierarchical Consensus Hashing for Cross-Modal Retrieval

Xu Wang, Peng Hu, Dezhong Peng, 2023, IEEE transactions on multimedia.

Robust Low-Rank Kernel Subspace Clustering based on the Schatten p-norm and Correntropy

Zhenwen Ren, Huaijiang Sun, Xiaoqian Zhang, 2020, IEEE Transactions on Knowledge and Data Engineering.

Multiple kernel subspace clustering with local structural graph and low-rank consensus kernel learning

Zhenwen Ren, Haoran Li, Chao Yang, 2020, Knowl. Based Syst..

Multi-Scale Deep Subspace Clustering With Discriminative Learning

Bin Wu, Zhenwen Ren, Jiao Wang, 2022, IEEE Access.

One-Stage Multi-view Clustering with Hierarchical Attributes Extraction

Yanlong Wang, Zhenwen Ren, Xiaojian You, 2022, Cognitive Computation.

Multiple kernel dimensionality reduction based on linear regression virtual reconstruction for image set classification

Zhenwen Ren, Huaijiang Sun, Quansen Sun, 2019, Neurocomputing.

Neighborhood preserving embedding on Grassmann manifold for image-set analysis

Xizhan Gao, Dong Wei, Quansen Sun, 2022, Pattern Recognit..

Latent Sparse Discriminative Learning for Face Image Set Classification

Yuan Sun, Zhenwen Ren, Chao Yang, 2020, NCAA.

Multiple kernel dimensionality reduction based on collaborative representation for set oriented image classification

Zhenwen Ren, Huaijiang Sun, Quan Zhang, 2019, Expert Syst. Appl..

Simultaneous learning of reduced prototypes and local metric for image set classification

Zhenwen Ren, Bin Wu, Quansen Sun, 2019, Expert Syst. Appl..

Nonnegative discriminative encoded nearest points for image set classification

Zhenwen Ren, Chao Yang, Quansen Sun, 2019, Neural Computing and Applications.

Image set classification using candidate sets selection and improved reverse training

Xiaoqian Zhang, Zhenwen Ren, Bin Wu, 2019, Neurocomputing.

Learning Optical Expansion from Scale Matching

Zhenwen Ren, Han Ling, Quansen Sun, 2023, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Regression-Selective Feature-Adaptive Tracker for Visual Object Tracking

Zhenwen Ren, Quansen Sun, Hongjun Li, 2023, IEEE transactions on multimedia.

Sparse Representation Classifier Guided Grassmann Reconstruction Metric Learning With Applications to Image Set Analysis

Xiaobo Shen, Dong Wei, Xizhan Gao, 2023, IEEE Transactions on Multimedia.