Ming Yang

59 papers A* 4A 2Journal 48Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive fuzzy incidence graph learning and tensor three-mode projection for multi-source weak multi-label classification.
Expert Syst. Appl.
Yiying Chen, Tingquan Deng, Yang Li, Ziang Zhang, Ming Yang
2026 J jnl
Discriminative attention based weighted sparse representation of visual objects in complex scenarios.
Pattern Recognit.
Ge Yang, Tingquan Deng, Ming Yang, Changzhong Wang
2026 J jnl
Multi-View Contrastive Learning With Tensor Low-Rank Factorization for Integrated Clustering.
IEEE Signal Process. Lett.
Qi Miao, Jingyu Wang, Tingquan Deng, Ming Yang
2026 A* conf
Tensorized Label Learning via Balanced Tensor Regression.
AAAI
Guangyu Yang, Yuzhuo Feng, Qin Li, Quanxue Gao, Ming Yang, Rui Wang
2026 A* conf
Unified View Extraction with Low-Rankness and Smoothness Fusion for Multi-View Subspace Clustering.
AAAI
Yapeng Wang, Quanxue Gao, Fangfang Li, Yu Yun, Ming Yang
2025 J jnl
Class label fusion guided correlation learning for incomplete multi-label classification.
Inf. Fusion
Qingwei Jia, Tingquan Deng, Ming Yang, Yan Wang, Changzhong Wang
2025 J jnl
Embedded Multi-View Clustering via Collaborative Tensor Subspace Representation and Multi-Graph Fusion.
IEEE Signal Process. Lett.
Jingyu Wang, Tingquan Deng, Ming Yang, Jiayi Wang
2025 J jnl
Image Clustering With Transition Probabilities Learning.
IEEE Trans. Image Process.
Xingyu Xue, Wenhui Zhao, Quanxue Gao, Ming Yang, Cheng Deng
2025 J jnl
Large-scale stochastic sparse subspace representation with consensus anchor guidance.
Appl. Intell.
Ge Yang, Tingquan Deng, Ming Yang, Changzhong Wang
2025 J jnl
Multi-view clustering based on feature selection and semi-non-negative anchor graph factorization.
Neural Networks
Shikun Mei, Qianqian Wang, Quanxue Gao, Ming Yang
2025 J jnl
Self-Supervised Graph Embedding Clustering.
IEEE Trans. Pattern Anal. Mach. Intell.
Fangfang Li, Quanxue Gao, Xiaoke Ma, Ming Yang, Cheng Deng
2025 J jnl
Tensor-Based Late Fusion Incomplete Multiview Clustering.
IEEE Trans. Multim.
Xiaoxing Guo, Ming Yang, Gui-Fu Lu
2025 J jnl
Tensorized Soft Label Learning Based on Orthogonal NMF.
IEEE Trans. Neural Networks Learn. Syst.
Fangfang Li, Quanxue Gao, Qianqian Wang, Ming Yang, Cheng Deng
2025 J jnl
Tensorized Tri-Factor Decomposition for Multi-View Clustering.
IEEE Trans. Circuits Syst. Video Technol.
Rui Wang, Quanxue Gao, Ming Yang, Qianqian Wang
2024 J jnl
Anchor graph-based multiview spectral clustering.
Neurocomputing
Yu Lei, Zuoyuan Niu, Qianqian Wang, Quanxue Gao, Ming Yang
2024 J jnl
Dual contrastive learning for multi-view clustering.
Neurocomputing
Yichen Bao, Wenhui Zhao, Qin Zhao, Quanxue Gao, Ming Yang
2024 J jnl
Efficient Anchor Graph Factorization for Multi-View Clustering.
IEEE Trans. Multim.
Jing Li, Qianqian Wang, Ming Yang, Quanxue Gao, Xinbo Gao
2024 J jnl
Efficient Multi-View -Means for Image Clustering.
IEEE Trans. Image Process.
Han Lu, Huafu Xu, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao
2024 J jnl
Interpretable Multi-View Clustering Based on Anchor Graph Tensor Factorization.
CoRR
Jing Li, Quanxue Gao, Cheng Deng, Qianqian Wang, Ming Yang
2024 J jnl
Multi-view reduced dimensionality K-means clustering with σ-norm and Schatten p-norm.
Pattern Recognit.
Xiangdong Zhang, Fangfang Li, Zhaoyang Shi, Ming Yang
2024 J jnl
Multidimensional Data Processing With Bayesian Inference via Structural Block Decomposition.
IEEE Trans. Cybern.
Qilun Luo, Ming Yang, Wen Li, Mingqing Xiao
2024 J jnl
Non-convex tensorial multi-view clustering by integrating ℓ1-based sliced-Laplacian regularization and ℓ2,p-sparsity.
Pattern Recognit.
De-Yan Xie, Ming Yang, Quanxue Gao, Wei Song
2024 J jnl
Nonconvex submodule clustering via joint sliced sparse gradient and cluster-aware approach.
Pattern Recognit.
Jingyu Wang, Tingquan Deng, Ming Yang
2024 J jnl
Self-adaptive SURF for image-to-video matching.
Signal Image Video Process.
Ming Yang, Jiaming Li, Zhigang Li, Wen Li, Kairui Zhang
2024 J jnl
Tensor robust PCA with nonconvex and nonlocal regularization.
Comput. Vis. Image Underst.
Xiaoyu Geng, Qiang Guo, Shuaixiong Hui, Ming Yang, Caiming Zhang
2024 J jnl
Unsupervised Discriminative Feature Selection via Contrastive Graph Learning.
IEEE Trans. Image Process.
Qian Zhou, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao
2023 J jnl
Active learning based on similarity level histogram and adaptive-scale sampling for very high resolution image classification.
Neural Networks
Guangfei Li, Quanxue Gao, Ming Yang, Xinbo Gao
2023 J jnl
Adaptive multi-granularity sparse subspace clustering.
Inf. Sci.
Tingquan Deng, Ge Yang, Yang Huang, Ming Yang, Hamido Fujita
2023 A* conf
Centerless Multi-View K-means Based on the Adjacency Matrix.
AAAI
Han Lu, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia
2023 J jnl
Contrastive self-representation learning for data clustering.
Neural Networks
Wenhui Zhao, Quanxue Gao, Shikun Mei, Ming Yang
2023 J jnl
Graph Embedding Contrastive Multi-Modal Representation Learning for Clustering.
IEEE Trans. Image Process.
Wei Xia, Tianxiu Wang, Quanxue Gao, Ming Yang, Xinbo Gao
2023 J jnl
Hyper-Laplacian Regularized Multi-View Clustering with Exclusive L21 Regularization and Tensor Log-Determinant Minimization Approach.
ACM Trans. Intell. Syst. Technol.
Qilun Luo, Ming Yang, Wen Li, Mingqing Xiao
2023 J jnl
Joint feature selection and optimal bipartite graph learning for subspace clustering.
Neural Networks
Shikun Mei, Wenhui Zhao, Quanxue Gao, Ming Yang, Xinbo Gao
2023 J jnl
Low-rank discrete multi-view spectral clustering.
Neural Networks
Yu Yun, Jing Li, Quanxue Gao, Ming Yang, Xinbo Gao
2023 A* conf
Orthogonal Non-negative Tensor Factorization based Multi-view Clustering.
NeurIPS
Jing Li, Quanxue Gao, Qianqian Wang, Ming Yang, Wei Xia
2023 J jnl
Self-Consistent Contrastive Attributed Graph Clustering With Pseudo-Label Prompt.
IEEE Trans. Multim.
Wei Xia, Qianqian Wang, Quanxue Gao, Ming Yang, Xinbo Gao
2023 J jnl
Self-Weighted Anchor Graph Learning for Multi-View Clustering.
IEEE Trans. Multim.
Xiaochuang Shu, Xiangdong Zhang, Quanxue Gao, Ming Yang, Rong Wang, Xinbo Gao
2023 J jnl
Sliced Sparse Gradient Induced Multi-View Subspace Clustering via Tensorial Arctangent Rank Minimization.
IEEE Trans. Knowl. Data Eng.
Xiaoli Sun, Rui Zhu, Ming Yang, Xiujun Zhang, Yuanyan Tang
2023 J jnl
Sparse discriminant PCA based on contrastive learning and class-specificity distribution.
Neural Networks
Qian Zhou, Quanxue Gao, Qianqian Wang, Ming Yang, Xinbo Gao
2022 J jnl
3-D Array Image Data Completion by Tensor Decomposition and Nonconvex Regularization Approach.
IEEE Trans. Signal Process.
Ming Yang, Qilun Luo, Wen Li, Mingqing Xiao
2022 J jnl
Cross-modal distribution alignment embedding network for generalized zero-shot learning.
Neural Networks
Qin Li, Mingzhen Hou, Hong Lai, Ming Yang
2022 J jnl
Multi-view graph embedding clustering network: Joint self-supervision and block diagonal representation.
Neural Networks
Wei Xia, Sen Wang, Ming Yang, Quanxue Gao, Jungong Han, Xinbo Gao
2022 J jnl
Multiview Spectral Clustering With Bipartite Graph.
IEEE Trans. Image Process.
Haizhou Yang, Quanxue Gao, Wei Xia, Ming Yang, Xinbo Gao
2022 J jnl
Nonconvex 3D array image data recovery and pattern recognition under tensor framework.
Pattern Recognit.
Ming Yang, Qilun Luo, Wen Li, Mingqing Xiao
2022 J jnl
View-Consistency Learning for Incomplete Multiview Clustering.
IEEE Trans. Image Process.
Ziyu Lv, Quanxue Gao, Xiangdong Zhang, Qin Li, Ming Yang
2021 — conf
Enhancing Effectiveness of Teaching Evaluation using Blockchain and Regulated Token Economy.
ICCSE
Kun Tian, Ying He, Jiangyang Fu, Guiqin He, Ming Yang
2021 J jnl
Robust Multiview Subspace Clustering of Images via Tighter Rank Approximation.
IEEE Access
Xiaoli Sun, Youjuan Wang, Ming Yang, Xiujun Zhang
2021 J jnl
Self-supervised Contrastive Attributed Graph Clustering.
CoRR
Wei Xia, Quanxue Gao, Ming Yang, Xinbo Gao
2020 J jnl
A Mobile Robot Visual SLAM System With Enhanced Semantics Segmentation.
IEEE Access
Feng Li, Weijun Li, Wenfeng Chen, Weifeng Xu, Linqing Huang, Dan Li, Shuting Cai, Ming Yang, Xiaoming Xiong, Yuan Liu
2020 J jnl
Multiview Clustering of Images with Tensor Rank Minimization via Nonconvex Approach.
SIAM J. Imaging Sci.
Ming Yang, Qilun Luo, Wen Li, Mingqing Xiao
2020 — conf
On the Modeling and Predication of Teaching Effectiveness with Machine Learning.
ICCSE
Kun Tian, Wen Liu, Ying He, Ming Yang, Danhua Zhao
2018 J jnl
Image Denoising via Improved Dictionary Learning with Global Structure and Local Similarity Preservations.
Symmetry
Shuting Cai, Zhao Kang, Ming Yang, Xiaoming Xiong, Chong Peng, Mingqing Xiao
2017 — conf
Exploiting Nonlinear Relationships for Top-N Recommender Systems.
ICBK
Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2016 J jnl
Feature Selection Embedded Subspace Clustering.
IEEE Signal Process. Lett.
Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng
2016 A conf
RAP: Scalable RPCA for Low-rank Matrix Recovery.
CIKM
Chong Peng, Zhao Kang, Ming Yang, Qiang Cheng
2016 A conf
Top-N Recommendation on Graphs.
CIKM
Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2016 J jnl
Top-N Recommendation on Graphs.
CoRR
Zhao Kang, Chong Peng, Ming Yang, Qiang Cheng
2013 — conf
A hand-held testbed for capturing the MAC address of the special target in WiFi network.
WOCC
Ming Yang, Minglei Shu, Qiang Guo, Yong Fu, Nuo Wei, Shuwang Zhou
2013 — conf
Energy Management and Optimization in Wireless Multimedia Sensor Networks.
CWSN
Yong Fu, Qiang Guo, Changying Chen, Ming Yang, Yinglong Wang