Tingquan Deng

According to our database, Tingquan Deng authored at least 41 papers between 2002 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Discriminative identification of redundant features for multi-label feature selection.

Qingwei Jia, Tingquan Deng, Ziang Zhang, Yan Wang, Changzhong Wang

Appl. Intell., April, 2025

A robust multi-label feature selection based on label significance and fuzzy entropy.

Taoli Yang, Changzhong Wang, Yiying Chen, Tingquan Deng

Int. J. Approx. Reason., 2025

2024

Low-Rank Multilabel Learning Based on Nonlinear Mapping.

Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding, Yuhua Qian

IEEE Trans. Artif. Intell., June, 2024

Missing multi-label learning based on the fusion of two-level nonlinear mappings.

Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding

Inf. Fusion, March, 2024

Nonconvex submodule clustering via joint sliced sparse gradient and cluster-aware approach.

Jingyu Wang, Tingquan Deng, Ming Yang

Pattern Recognit., 2024

Discriminative label correlation based robust structure learning for multi-label feature selection.

Qingwei Jia, Tingquan Deng, Yan Wang, Changzhong Wang

Pattern Recognit., 2024

Multi-label feature selection based on nonlinear mapping.

Yan Wang, Changzhong Wang, Tingquan Deng, Wenqi Li

Inf. Sci., 2024

Multi-source partial multi-label learning via tensor decomposition and nonconvex regularization.

Tingquan Deng, Yiying Chen, Taoli Yang, Ge Yang, Ming Yang

Inf. Fusion, 2024

Three-way concept lattice from adjunctive positive and negative concepts.

Binghan Long, Tingquan Deng, Yiyu Yao, Weihua Xu

Int. J. Approx. Reason., 2024

2023

Transformed Schatten-1 penalty based full-rank latent label learning for incomplete multi-label classification.

Tingquan Deng, Qingwei Jia, Jingyu Wang, Hamido Fujita

Inf. Sci., December, 2023

Semi-supervised sparse representation collaborative clustering of incomplete data.

Tingquan Deng, Jingyu Wang, Qingwei Jia, Ming Yang

Appl. Intell., December, 2023

A nonlinear multi-label learning model based on Tanh mapping.

Changzhong Wang, Yan Wang, Tingquan Deng, Yang Huang

Eng. Appl. Artif. Intell., November, 2023

Adjunctive three-way concepts from positive and negative concepts in lattice-valued formal contexts.

Tingquan Deng, Binghan Long, Weihua Xu, Yiyu Yao

Int. J. Approx. Reason., October, 2023

Adaptive multi-granularity sparse subspace clustering.

Tingquan Deng, Ge Yang, Yang Huang, Ming Yang, Hamido Fujita

Inf. Sci., 2023

2022

Pointwise mutual information sparsely embedded feature selection.

Tingquan Deng, Yang Huang, Ge Yang, Changzhong Wang

Int. J. Approx. Reason., 2022

2020

Low-rank local tangent space embedding for subspace clustering.

Tingquan Deng, Dongsheng Ye, Rong Ma, Hamido Fujita, Lvnan Xiong

Inf. Sci., 2020

Partial-overall dominance three-way decision models in interval-valued decision systems.

Dandan Yang, Tingquan Deng, Hamido Fujita

Int. J. Approx. Reason., 2020

2019

Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction.

Minghua Ma, Tingquan Deng, Ning Wang, Yanmei Chen

Int. J. Mach. Learn. Cybern., 2019

2018

A Nonparametric Statistical Snake Model Using the Gradient Flow of Minimum Probability Density Integration.

Qiang Li, Tingquan Deng

J. Math. Imaging Vis., 2018

2016

Active contours driven by divergence of gradient vector flow.

Qiang Li, Tingquan Deng, Wei Xie

Signal Process., 2016

A supervised class-preserving Laplacian eigenmaps for dimensionality reduction.

Ning Wang, Jinyan Liu, Tingquan Deng

Proceedings of the 12th International Conference on Natural Computation, 2016

Locally linear embedding preserving local neighborhood.

Tingquan Deng, Jinyan Liu, Ning Wang

Proceedings of the 12th International Conference on Natural Computation, 2016

2015

Variable Precision Fuzzy Hit-or-Miss Transformation Models to Object Identification in Grey-Scale Images.

Wei Xie, Tingquan Deng, Qiang Li, Minghua Ma

J. Math. Imaging Vis., 2015

2014

Object Tracking via Tensor Kernel Space Projection.

Jiashu Dai, Tingquan Deng, Tianzhen Dong, Kejia Yi

J. Comput., 2014

2013

A Fuzzy Reasoning Method for Multi-views Image Registration.

Tianzhen Dong, Tingquan Deng, Jiashu Dai, Wei Xie, Jinhong Yang, Qiang Fu

J. Comput., 2013

Granule-view based feature extraction and classification approach to color image segmentation in a manifold space.

Tingquan Deng, Wei Xie

Neurocomputing, 2013

2012

A reduct derived from feature selection.

Tingquan Deng, Chengdong Yang, Xiaofei Wang

Pattern Recognit. Lett., 2012

Parameter significance and reductions of soft sets.

Tingquan Deng, Xiaofei Wang

Int. J. Comput. Math., 2012

A novel uncertainty measure on rough sets: A mean-variance approach.

Chengdong Yang, Wenyin Zhang, Jilin Zou, Dongliang Yang, Tingquan Deng

Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011

Feature Selection in Decision Systems Based on Conditional Knowledge Granularity.

Tingquan Deng, Chengdong Yang, Qinghua Hu

Int. J. Comput. Intell. Syst., 2011

A Survey on Digital Image Compression.

Huijie Sun, Tingquan Deng

Proceedings of the ICEIS 2011, 2011

2010

A novel roughness measure based on knowledge granulation.

Tingquan Deng, Chengdong Yang

Proceedings of the Seventh International Conference on Fuzzy Systems and Knowledge Discovery, 2010

2009

Quantum Secret Sharing Based on Entanglement without Local Unitary Operations.

Yunyan Yang, Guisheng Yin, Tingquan Deng

Proceedings of the Second International Workshop on Knowledge Discovery and Data Mining, 2009

2008

Thresholding approaches with interval-valued fuzzy sets to image segmentation.

Tingquan Deng, Peipei Wang, Yuling Mei, Wenjie Liu

Proceedings of the 3rd International Conference on Intelligent System and Knowledge Engineering, 2008

An Improved Ant Colony Optimization Applied to Attributes Reduction.

Tingquan Deng, Chengdong Yang, Yue-tong Zhang, Xin-xia Wang

Proceedings of the Fuzzy Information and Engineering, 2008

2007

A novel approach to fuzzy rough sets based on a fuzzy covering.

Tingquan Deng, Yanmei Chen, Wenli Xu, Qionghai Dai

Inf. Sci., 2007

Algebraic Properties of Adjunction-Based Fuzzy Rough Sets.

Tingquan Deng, Yanmei Chen, Guanghong Gao

Proceedings of the Rough Sets, 2007

A Morphological Approach for Granulometry with Application to Image Denoising.

Tingquan Deng, Yanmei Chen

Proceedings of the Fuzzy Information and Engineering, 2007

2006

On Reduction of Morphological Covering Rough Sets.

Tingquan Deng, Yanmei Chen

Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006

2005

Generalized Fuzzy Morphological Operators.

Tingquan Deng, Yanmei Chen

Proceedings of the Fuzzy Systems and Knowledge Discovery, Second International Conference, 2005

2002

Grey-Scale Morphology Based on Fuzzy Logic.

Tingquan Deng, Henk J. A. M. Heijmans

J. Math. Imaging Vis., 2002