Di Wang

Orcid: 0000-0003-0435-0609

Affiliations:
  • Wenzhou University, Department of Computer Science, Zhejiang, China
  • Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China (PhD 2012)


According to our database1, Di Wang authored at least 27 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Sketching with Spherical Designs for Noisy Data Fitting on Spheres.
SIAM J. Sci. Comput., February, 2024

2023
Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

2021
Top-k Feature Selection Framework Using Robust 0-1 Integer Programming.
IEEE Trans. Neural Networks Learn. Syst., 2021

Random Sketching for Neural Networks With ReLU.
IEEE Trans. Neural Networks Learn. Syst., 2021

Robust Low-Rank Tensor Recovery with Rectification and Alignment.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020
Self-Taught Semisupervised Dictionary Learning With Nonnegative Constraint.
IEEE Trans. Ind. Informatics, 2020

Exemplar-Based Denoising: A Unified Low-Rank Recovery Framework.
IEEE Trans. Circuits Syst. Video Technol., 2020

Structured Dictionary Learning with Block Diagonal Regularization for Image Classification.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Structure regularized self-paced learning for robust semi-supervised pattern classification.
Neural Comput. Appl., 2019

Structural Dictionary Learning based on Non-convex Surrogate of ℓ₂, ₁ Norm for Classification.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Multi-View Subspace Clustering based on Tensor Schatten-p Norm.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Convergence of decomposition methods for support vector machines.
Neurocomputing, 2018

Simultaneous Learning of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Semi-Supervised Dictionary Learning Based on Atom Graph Regularization.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Top-k Supervise Feature Selection via ADMM for Integer Programming.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016
Hierarchical mixing linear support vector machines for nonlinear classification.
Pattern Recognit., 2016

Low-Rank Tensor Recovery and Alignment Based on \ell _p Minimization.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

Semi-Supervised Dictionary Learning via Structural Sparse Preserving.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
An Efficient Semi-Supervised Classifier Based on Block-Polynomial Mapping.
IEEE Signal Process. Lett., 2015

Multi-Modality Tracker Aggregation: From Generative to Discriminative.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Building an Effective Template Dictionary for Robust Offline Video Tracking.
Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014
A kernel-based sparsity preserving method for semi-supervised classification.
Neurocomputing, 2014

Hybrid Singular Value Thresholding for Tensor Completion.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Manifold based fisher method for semi-supervised feature selection.
Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012
Multiple cues integration for part-based adaptive workpieces detection.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012


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