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Tingquan Deng
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2020 – today
- 2024
- [j26]Changzhong Wang, Yan Wang, Tingquan Deng, Weiping Ding:
Missing multi-label learning based on the fusion of two-level nonlinear mappings. Inf. Fusion 103: 102105 (2024) - [j25]Tingquan Deng
, Yiying Chen, Taoli Yang, Ge Yang, Ming Yang:
Multi-source partial multi-label learning via tensor decomposition and nonconvex regularization. Inf. Fusion 112: 102583 (2024) - [j24]Yan Wang, Changzhong Wang
, Tingquan Deng
, Wenqi Li:
Multi-label feature selection based on nonlinear mapping. Inf. Sci. 680: 121168 (2024) - [j23]Qingwei Jia, Tingquan Deng
, Yan Wang, Changzhong Wang:
Discriminative label correlation based robust structure learning for multi-label feature selection. Pattern Recognit. 154: 110583 (2024) - [j22]Jingyu Wang, Tingquan Deng
, Ming Yang:
Nonconvex submodule clustering via joint sliced sparse gradient and cluster-aware approach. Pattern Recognit. 154: 110619 (2024) - [j21]Changzhong Wang, Yan Wang, Tingquan Deng
, Weiping Ding
, Yuhua Qian
:
Low-Rank Multilabel Learning Based on Nonlinear Mapping. IEEE Trans. Artif. Intell. 5(6): 2693-2707 (2024) - 2023
- [j20]Tingquan Deng
, Jingyu Wang, Qingwei Jia, Ming Yang:
Semi-supervised sparse representation collaborative clustering of incomplete data. Appl. Intell. 53(24): 31077-31105 (2023) - [j19]Changzhong Wang
, Yan Wang, Tingquan Deng, Yang Huang:
A nonlinear multi-label learning model based on Tanh mapping. Eng. Appl. Artif. Intell. 126: 106837 (2023) - [j18]Tingquan Deng, Binghan Long
, Weihua Xu, Yiyu Yao:
Adjunctive three-way concepts from positive and negative concepts in lattice-valued formal contexts. Int. J. Approx. Reason. 161: 108989 (2023) - [j17]Tingquan Deng
, Ge Yang, Yang Huang, Ming Yang
, Hamido Fujita
:
Adaptive multi-granularity sparse subspace clustering. Inf. Sci. 642: 119143 (2023) - [j16]Tingquan Deng
, Qingwei Jia, Jingyu Wang, Hamido Fujita
:
Transformed Schatten-1 penalty based full-rank latent label learning for incomplete multi-label classification. Inf. Sci. 650: 119699 (2023) - 2022
- [j15]Tingquan Deng
, Yang Huang, Ge Yang, Changzhong Wang:
Pointwise mutual information sparsely embedded feature selection. Int. J. Approx. Reason. 151: 251-270 (2022) - 2020
- [j14]Dandan Yang, Tingquan Deng, Hamido Fujita:
Partial-overall dominance three-way decision models in interval-valued decision systems. Int. J. Approx. Reason. 126: 308-325 (2020) - [j13]Tingquan Deng
, Dongsheng Ye
, Rong Ma, Hamido Fujita
, Lvnan Xiong:
Low-rank local tangent space embedding for subspace clustering. Inf. Sci. 508: 1-21 (2020)
2010 – 2019
- 2019
- [j12]Minghua Ma, Tingquan Deng
, Ning Wang, Yanmei Chen:
Semi-supervised rough fuzzy Laplacian Eigenmaps for dimensionality reduction. Int. J. Mach. Learn. Cybern. 10(2): 397-411 (2019) - 2018
- [j11]Qiang Li
, Tingquan Deng
:
A Nonparametric Statistical Snake Model Using the Gradient Flow of Minimum Probability Density Integration. J. Math. Imaging Vis. 60(7): 1150-1166 (2018) - 2016
- [j10]Qiang Li
, Tingquan Deng
, Wei Xie:
Active contours driven by divergence of gradient vector flow. Signal Process. 120: 185-199 (2016) - [c12]Ning Wang, Jinyan Liu, Tingquan Deng
:
A supervised class-preserving Laplacian eigenmaps for dimensionality reduction. ICNC-FSKD 2016: 383-389 - [c11]Tingquan Deng
, Jinyan Liu, Ning Wang:
Locally linear embedding preserving local neighborhood. ICNC-FSKD 2016: 438-444 - 2015
- [j9]Wei Xie, Tingquan Deng
, Qiang Li
, Minghua Ma:
Variable Precision Fuzzy Hit-or-Miss Transformation Models to Object Identification in Grey-Scale Images. J. Math. Imaging Vis. 53(1): 112-129 (2015) - 2014
- [j8]Jiashu Dai, Tingquan Deng, Tianzhen Dong, Kejia Yi:
Object Tracking via Tensor Kernel Space Projection. J. Comput. 9(6): 1503-1510 (2014) - 2013
- [j7]Tingquan Deng
, Wei Xie:
Granule-view based feature extraction and classification approach to color image segmentation in a manifold space. Neurocomputing 99: 46-58 (2013) - [j6]Tianzhen Dong, Tingquan Deng
, Jiashu Dai, Wei Xie, Jinhong Yang, Qiang Fu:
A Fuzzy Reasoning Method for Multi-views Image Registration. J. Comput. 8(10): 2689-2694 (2013) - 2012
- [j5]Tingquan Deng
, Xiaofei Wang:
Parameter significance and reductions of soft sets. Int. J. Comput. Math. 89(15): 1979-1995 (2012) - [j4]Tingquan Deng
, Chengdong Yang, Xiaofei Wang:
A reduct derived from feature selection. Pattern Recognit. Lett. 33(12): 1638-1646 (2012) - [c10]Chengdong Yang, Wenyin Zhang, Jilin Zou, Dongliang Yang, Tingquan Deng
:
A novel uncertainty measure on rough sets: A mean-variance approach. FSKD 2012: 900-904 - 2011
- [j3]Tingquan Deng
, Chengdong Yang, Qinghua Hu:
Feature Selection in Decision Systems Based on Conditional Knowledge Granularity. Int. J. Comput. Intell. Syst. 4(4): 655-671 (2011) - [c9]Huijie Sun, Tingquan Deng:
A Survey on Digital Image Compression. ICEIS (4) 2011: 527-534 - 2010
- [c8]Tingquan Deng
, Chengdong Yang:
A novel roughness measure based on knowledge granulation. FSKD 2010: 403-407
2000 – 2009
- 2009
- [c7]Yunyan Yang, Guisheng Yin, Tingquan Deng
:
Quantum Secret Sharing Based on Entanglement without Local Unitary Operations. WKDD 2009: 619-621 - 2008
- [c6]Tingquan Deng
, Chengdong Yang, Yue-tong Zhang, Xin-xia Wang:
An Improved Ant Colony Optimization Applied to Attributes Reduction. ACFIE 2008: 1-6 - [c5]Tingquan Deng, Peipei Wang, Yuling Mei, Wenjie Liu:
Thresholding approaches with interval-valued fuzzy sets to image segmentation. ISKE 2008: 1059-1064 - 2007
- [j2]Tingquan Deng
, Yanmei Chen, Wenli Xu, Qionghai Dai:
A novel approach to fuzzy rough sets based on a fuzzy covering. Inf. Sci. 177(11): 2308-2326 (2007) - [c4]Tingquan Deng
, Yanmei Chen:
A Morphological Approach for Granulometry with Application to Image Denoising. ICFIE 2007: 919-929 - [c3]Tingquan Deng
, Yanmei Chen, Guanghong Gao:
Algebraic Properties of Adjunction-Based Fuzzy Rough Sets. RSFDGrC 2007: 47-54 - 2006
- [c2]Tingquan Deng
, Yanmei Chen:
On Reduction of Morphological Covering Rough Sets. FSKD 2006: 266-275 - 2005
- [c1]Tingquan Deng
, Yanmei Chen:
Generalized Fuzzy Morphological Operators. FSKD (2) 2005: 275-284 - 2002
- [j1]Tingquan Deng
, Henk J. A. M. Heijmans:
Grey-Scale Morphology Based on Fuzzy Logic. J. Math. Imaging Vis. 16(2): 155-171 (2002)
Coauthor Index
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last updated on 2024-08-23 18:31 CEST by the dblp team
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