Di Wang

According to our database, Di Wang authored at least 35 papers between 2012 and 2024.

Collaborative distances:

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

2024

Sketching with Spherical Designs for Noisy Data Fitting on Spheres.

Shao-Bo Lin, Di Wang, Ding-Xuan Zhou

SIAM J. Sci. Comput., February, 2024

Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data.

Xiaotong Liu, Jinxin Wang, Di Wang, Shao-Bo Lin

SIAM J. Imaging Sci., 2024

Component-based Sketching for Deep ReLU Nets.

Di Wang, Shao-Bo Lin, Deyu Meng, Feilong Cao

CoRR, 2024

2023

Construction of Deep ReLU Nets for Spatially Sparse Learning.

Xia Liu, Di Wang, Shao-Bo Lin

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework.

Xiaoqin Zhang, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Distributed Uncertainty Quantification of Kernel Interpolation on Spheres.

Shao-Bo Lin, Xingping Sun, Di Wang

CoRR, 2023

Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos.

Di Wang, Xiaotong Liu, Shao-Bo Lin, Ding-Xuan Zhou

CoRR, 2023

Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes.

Di Wang, Yao Wang, Shaojie Tang, Shao-Bo Lin

CoRR, 2023

2022

Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications.

Shao-Bo Lin, Shaojie Tang, Yao Wang, Di Wang

INFORMS J. Comput., 2022

2021

Top-k Feature Selection Framework Using Robust 0-1 Integer Programming.

Xiaoqin Zhang, Mingyu Fan, Di Wang, Peng Zhou, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2021

Random Sketching for Neural Networks With ReLU.

Di Wang, Jinshan Zeng, Shao-Bo Lin

IEEE Trans. Neural Networks Learn. Syst., 2021

Robust Low-Rank Tensor Recovery with Rectification and Alignment.

Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma

IEEE Trans. Pattern Anal. Mach. Intell., 2021

2020

Self-Taught Semisupervised Dictionary Learning With Nonnegative Constraint.

Xiaoqin Zhang, Qianqian Liu, Di Wang, Li Zhao, Nannan Gu, Stephen J. Maybank

IEEE Trans. Ind. Informatics, 2020

Exemplar-Based Denoising: A Unified Low-Rank Recovery Framework.

Xiaoqin Zhang, Jingjing Zheng, Di Wang, Li Zhao

IEEE Trans. Circuits Syst. Video Technol., 2020

Distributed Kernel Ridge Regression with Communications.

Shao-Bo Lin, Di Wang, Ding-Xuan Zhou

J. Mach. Learn. Res., 2020

Structured Dictionary Learning with Block Diagonal Regularization for Image Classification.

Manman Xu, Runhua Jiang, Tao Wang, Di Wang, Xiaoju Lu

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.

Nannan Gu, Pengying Fan, Mingyu Fan, Di Wang

Neural Comput. Appl., 2019

Structural Dictionary Learning based on Non-convex Surrogate of ℓ₂, ₁ Norm for Classification.

Xiaoju Lu, Guiying Tang, Di Wang, Xiaoqin Zhang, Jingjing Zheng

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Multi-View Subspace Clustering based on Tensor Schatten-p Norm.

Yongli Liu, Xiaoqin Zhang, Guiying Tang, Di Wang

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Convergence of decomposition methods for support vector machines.

Qiaozhi Zhang, Di Wang, Yanguo Wang

Neurocomputing, 2018

Simultaneous Learning of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification.

Lei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Mingyu Fan

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Semi-Supervised Dictionary Learning Based on Atom Graph Regularization.

Xiaoqin Zhang, Qianqian Liu, Di Wang, Jie Hu, Nannan Gu, Tianhao Wang

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Top-k Supervise Feature Selection via ADMM for Integer Programming.

Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Hierarchical mixing linear support vector machines for nonlinear classification.

Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye

Pattern Recognit., 2016

Low-Rank Tensor Recovery and Alignment Based on \ell _p Minimization.

Kaifei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Hongxing Jiang, Xiuzi Ye

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

Semi-Supervised Dictionary Learning via Structural Sparse Preserving.

Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

An Efficient Semi-Supervised Classifier Based on Block-Polynomial Mapping.

Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye

IEEE Signal Process. Lett., 2015

Multi-Modality Tracker Aggregation: From Generative to Discriminative.

Xiaoqin Zhang, Wei Li, Mingyu Fan, Di Wang, Xiuzi Ye

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines.

Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Building an Effective Template Dictionary for Robust Offline Video Tracking.

Fei Liu, Xiaoqin Zhang, Mingyu Fan, Di Wang, Hongxing Jiang, Xiuzi Ye

Proceedings of the Computer Vision - CCF Chinese Conference, 2015

2014

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

Nannan Gu, Di Wang, Mingyu Fan, Deyu Meng

Neurocomputing, 2014

Hybrid Singular Value Thresholding for Tensor Completion.

Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors.

Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma

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.

Sunzhong Lv, Hongxing Jiang, Li Zhao, Di Wang, Mingyu Fan

Proceedings of the 10th International Conference on Fuzzy Systems and Knowledge Discovery, 2013

2012

Multiple cues integration for part-based adaptive workpieces detection.

Di Wang, Xiaoqin Zhang, Wei Liu, Mingyu Fan

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