Tingquan Deng - RankMe

59 papers Misc 1Journal 47Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive feature selection based on fuzzy rough set fusion model with class variance. Pattern Recognit. Changzhong Wang, Yang Zhang, Shuang An, Tingquan Deng
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`	Behavioral three-way decision based multi-attribute decision-making for credible hesitant fuzzy information systems. Eng. Appl. Artif. Intell. Tingquan Deng, Chaoyue Wang, Wenjie Wang, Jianming Zhan
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`	Interpretable multi-view clustering via anchor graph-based tensor decomposition with convergence guarantees. Pattern Recognit. Jingyu Wang, Tingquan Deng, Ming Yang
2026	J	`jnl`	Latent space alignment guided non-aligned multi-view multi-label learning. Inf. Fusion Tingquan Deng, Jingrui Xu, Yiying Chen
2026	J	`jnl`	Metric learning based weighted linear discriminant analysis for imbalanced multi-label classification. Appl. Intell. Tingquan Deng, Jintian Huang, Yiying Chen
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	J	`jnl`	Three-way decision oriented rational behavior multi-attribute decision-making. Inf. Fusion Tingquan Deng, Wenjie Wang, Chaoyue Wang, Jianming Zhan
2026	J	`jnl`	Tucker decomposition guided shared latent label learning for multi-view incomplete multi-label classification. Inf. Fusion Tingquan Deng, Ziang Zhang, Qingwei Jia, Yiying Chen
2025	J	`jnl`	A robust multi-label feature selection based on label significance and fuzzy entropy. Int. J. Approx. Reason. Taoli Yang, Changzhong Wang, Yiying Chen, Tingquan Deng
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`	Discriminative identification of redundant features for multi-label feature selection. Appl. Intell. Qingwei Jia, Tingquan Deng, Ziang Zhang, Yan Wang, Changzhong Wang
2025	J	`jnl`	Dual-driven embedded feature selection method based on fuzzy decision consistency and classification reward mechanism. Int. J. Mach. Learn. Cybern. Yang Huang, Tingquan Deng, Changzhong Wang, Yang Zhang
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`	Heterogeneous space co-sparse representation: Leveraging fuzzy dependency and feature reconstruction for feature selection. Appl. Soft Comput. Yang Huang, Tingquan Deng, Ge Yang, Changzhong Wang
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-label feature selection via nonlinear mapping and manifold regularization. Inf. Sci. Yan Wang, Changzhong Wang, Tingquan Deng, Wenqi Li
2025	J	`jnl`	Pointwise fuzzy mutual information based multi-label feature selection via feature low-rank regularization. Appl. Soft Comput. Qingwei Jia, Tingquan Deng, Ziang Zhang, Yan Wang, Changzhong Wang
2025	J	`jnl`	Robust Low-Rank Kernel Dictionary Learning for Enhancing Noisy Images. IET Image Process. Tingquan Deng, Jiaxuan Hui, Qingwei Jia, Jingyu Wang
2024	J	`jnl`	Discriminative label correlation based robust structure learning for multi-label feature selection. Pattern Recognit. Qingwei Jia, Tingquan Deng, Yan Wang, Changzhong Wang
2024	J	`jnl`	Low-Rank Multilabel Learning Based on Nonlinear Mapping. IEEE Trans. Artif. Intell. Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding, Yuhua Qian
2024	J	`jnl`	Missing multi-label learning based on the fusion of two-level nonlinear mappings. Inf. Fusion Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding
2024	J	`jnl`	Multi-label feature selection based on nonlinear mapping. Inf. Sci. Yan Wang, Changzhong Wang, Tingquan Deng, Wenqi Li
2024	J	`jnl`	Multi-source partial multi-label learning via tensor decomposition and nonconvex regularization. Inf. Fusion Tingquan Deng, Yiying Chen, Taoli Yang, Ge Yang, Ming Yang
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`	Three-way concept lattice from adjunctive positive and negative concepts. Int. J. Approx. Reason. Binghan Long, Tingquan Deng, Yiyu Yao, Weihua Xu
2023	J	`jnl`	A nonlinear multi-label learning model based on Tanh mapping. Eng. Appl. Artif. Intell. Changzhong Wang, Yan Wang, Tingquan Deng, Yang Huang
2023	J	`jnl`	Adaptive multi-granularity sparse subspace clustering. Inf. Sci. Tingquan Deng, Ge Yang, Yang Huang, Ming Yang, Hamido Fujita
2023	J	`jnl`	Adjunctive three-way concepts from positive and negative concepts in lattice-valued formal contexts. Int. J. Approx. Reason. Tingquan Deng, Binghan Long, Weihua Xu, Yiyu Yao
2023	J	`jnl`	Semi-supervised sparse representation collaborative clustering of incomplete data. Appl. Intell. Tingquan Deng, Jingyu Wang, Qingwei Jia, Ming Yang
2023	J	`jnl`	Transformed Schatten-1 penalty based full-rank latent label learning for incomplete multi-label classification. Inf. Sci. Tingquan Deng, Qingwei Jia, Jingyu Wang, Hamido Fujita
2022	J	`jnl`	Pointwise mutual information sparsely embedded feature selection. Int. J. Approx. Reason. Tingquan Deng, Yang Huang, Ge Yang, Changzhong Wang
2020	J	`jnl`	Low-rank local tangent space embedding for subspace clustering. Inf. Sci. Tingquan Deng, Dongsheng Ye, Rong Ma, Hamido Fujita, Lvnan Xiong
2020	J	`jnl`	Partial-overall dominance three-way decision models in interval-valued decision systems. Int. J. Approx. Reason. Dandan Yang, Tingquan Deng, Hamido Fujita
2019	J	`jnl`	Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction. Int. J. Mach. Learn. Cybern. Minghua Ma, Tingquan Deng, Ning Wang, Yanmei Chen
2018	J	`jnl`	A Nonparametric Statistical Snake Model Using the Gradient Flow of Minimum Probability Density Integration. J. Math. Imaging Vis. Qiang Li, Tingquan Deng
2016	—	`conf`	A supervised class-preserving Laplacian eigenmaps for dimensionality reduction. ICNC-FSKD Ning Wang, Jinyan Liu, Tingquan Deng
2016	J	`jnl`	Active contours driven by divergence of gradient vector flow. Signal Process. Qiang Li, Tingquan Deng, Wei Xie
2016	—	`conf`	Locally linear embedding preserving local neighborhood. ICNC-FSKD Tingquan Deng, Jinyan Liu, Ning Wang
2015	J	`jnl`	Variable Precision Fuzzy Hit-or-Miss Transformation Models to Object Identification in Grey-Scale Images. J. Math. Imaging Vis. Wei Xie, Tingquan Deng, Qiang Li, Minghua Ma
2014	J	`jnl`	Object Tracking via Tensor Kernel Space Projection. J. Comput. Jiashu Dai, Tingquan Deng, Tianzhen Dong, Kejia Yi
2013	J	`jnl`	A Fuzzy Reasoning Method for Multi-views Image Registration. J. Comput. Tianzhen Dong, Tingquan Deng, Jiashu Dai, Wei Xie, Jinhong Yang, Qiang Fu
2013	J	`jnl`	Granule-view based feature extraction and classification approach to color image segmentation in a manifold space. Neurocomputing Tingquan Deng, Wei Xie
2012	—	`conf`	A novel uncertainty measure on rough sets: A mean-variance approach. FSKD Chengdong Yang, Wenyin Zhang, Jilin Zou, Dongliang Yang, Tingquan Deng
2012	J	`jnl`	A reduct derived from feature selection. Pattern Recognit. Lett. Tingquan Deng, Chengdong Yang, Xiaofei Wang
2012	J	`jnl`	Parameter significance and reductions of soft sets. Int. J. Comput. Math. Tingquan Deng, Xiaofei Wang
2011	—	`conf`	A Survey on Digital Image Compression. ICEIS (4) Huijie Sun, Tingquan Deng
2011	J	`jnl`	Feature Selection in Decision Systems Based on Conditional Knowledge Granularity. Int. J. Comput. Intell. Syst. Tingquan Deng, Chengdong Yang, Qinghua Hu
2010	—	`conf`	A novel roughness measure based on knowledge granulation. FSKD Tingquan Deng, Chengdong Yang
2009	—	`conf`	Quantum Secret Sharing Based on Entanglement without Local Unitary Operations. WKDD Yunyan Yang, Guisheng Yin, Tingquan Deng
2008	—	`conf`	An Improved Ant Colony Optimization Applied to Attributes Reduction. ACFIE Tingquan Deng, Chengdong Yang, Yuetong Zhang, Xinxia Wang
2008	Misc	`conf`	Thresholding approaches with interval-valued fuzzy sets to image segmentation. ISKE Tingquan Deng, Peipei Wang, Yuling Mei, Wenjie Liu
2007	—	`conf`	A Morphological Approach for Granulometry with Application to Image Denoising. ICFIE Tingquan Deng, Yanmei Chen
2007	J	`jnl`	A novel approach to fuzzy rough sets based on a fuzzy covering. Inf. Sci. Tingquan Deng, Yanmei Chen, Wenli Xu, Qionghai Dai
2007	—	`conf`	Algebraic Properties of Adjunction-Based Fuzzy Rough Sets. RSFDGrC Tingquan Deng, Yanmei Chen, Guanghong Gao
2006	—	`conf`	On Reduction of Morphological Covering Rough Sets. FSKD Tingquan Deng, Yanmei Chen
2005	—	`conf`	Generalized Fuzzy Morphological Operators. FSKD (2) Tingquan Deng, Yanmei Chen
2002	J	`jnl`	Grey-Scale Morphology Based on Fuzzy Logic. J. Math. Imaging Vis. Tingquan Deng, Henk J. A. M. Heijmans