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ORCIDDi Wang 0008
Person information
- affiliation: Xi'an Jiaotong University, School of Management, Center for Intelligent Decision-Making and Machine Learning, China
- affiliation (former): Wenzhou University, Department of Computer Science, Zhejiang, China
- affiliation (PhD 2012): Chinese Academy of Sciences, Academy of Mathematics and Systems Science, Beijing, China
Other persons with the same name
- Di Wang — disambiguation page
- Di Wang 0001 — Khalifa University, EBTIC, Abu Dhabi, UAE (and 2 more)
- Di Wang 0002 — Florida Atlantic University, Department of Computer and Electrical Engineering and Computer Science, Boca Raton, FL, USA
- Di Wang 0003
![[0000-0001-8003-9738]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8003-9738")
— Microsoft Research, Redmond, WA, USA (and 1 more) - Di Wang 0004 — Nanyang Technological University, School of Computer Engineering / Joint NTU-UBC Research Center of Excellence in Active Living for the Elderly, Singapore
- Di Wang 0005 — Google Research, Mountain View, CA, USA (and 1 more)
- Di Wang 0006 — TU Wien, Department of Geodesy and Geoinformation, Group of Photogrammetry, Vienna, Austria
- Di Wang 0007 — Macquarie University, Department of Computing, Sydney, NSW, Australia (and 1 more)
- Di Wang 0009 — Northeast Petroleum University, School of Electrical Information Engineering, Daqing, China
- Di Wang 0010 — Southeast University, Key Laboratory of Micro-Inertial Instrument and Advanced Navigation Technology, Nanjing, China
- Di Wang 0011 — Xidian University, School of Computer Science and Technology, Xi'an, China
- Di Wang 0012 — University of Michigan, College of Engineering, Ann Arbor, MI, USA (and 1 more)
- Di Wang 0013 — University of Southampton, Southampton Business School, UK
- Di Wang 0014 — Peking University, Institute of Population Research, Beijing, China
- Di Wang 0015 — King Abdullah University of Science and Technology (KAUST), Saudi Arabia (and 1 more)
- Di Wang 0016 — Beijing Institute of Technology, China
- Di Wang 0017 — Peking University, Beijing, China (and 1 more)
- Di Wang 0018 — Dalian University of Technology, School of Software Technology, Dalian, Liaoning, China
- Di Wang 0019 — Shanghai Jiao Tong University, School of Mechanical Engineering, Department of Industrial Engineering and Management, Shanghai, China
- Di Wang 0020 — Texas A&M University, Computer Science and Engineering Department, College Station, TX, USA
- Di Wang 0021 — University of Canterbury, Christchurch, New Zealand (and 1 more)
- Di Wang 0022 — Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing, China
- Di Wang 0023 — JD Explore Academy, Beijing, China (and 2 more)
- Di Wang 0024 — Beijing University of Posts and Telecommunications, School of Artificial Intelligence, China (and 1 more)
- Di Wang 0025 — Wuhan University, School of Cyber Science and Engineering, China (and 1 more)
- Di Wang 0026 — Tianjin University, School of Electrical and Information Engineering, China
- Di Wang 0027 — Tianjin University of Science and Technology, School of Electronic Information and Automation, China
- Di Wang 0028 — Plus Inc., Suzhou, China (and 1 more)
- Di Wang 0029 — University of Illinois at Chicago, Department of Mechanical and Industrial Engineering, IL, USA
- Di Wang 0030 — Microsoft Research, Redmond, WA, USA (and 1 more)
- Di Wang 0031 — Facebook, Seattle, WA, USA (and 1 more)
- Di Wang 0032 — University of Macau, State Key Laboratory of Internet of Things for Smart City, Department of Electromachnical Engineering, China
- Di Wang 0033 — Tiangong University, School of Electronics and Information Engineering, Tianjin, China (and 1 more)
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Journal Articles
- 2024
[j16]Xiaotong Liu, Jinxin Wang, Di Wang, Shao-Bo Lin:
Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data. SIAM J. Imaging Sci. 17(2): 951-983 (2024)- [j15]Shao-Bo Lin, Di Wang, Ding-Xuan Zhou:
Sketching with Spherical Designs for Noisy Data Fitting on Spheres. SIAM J. Sci. Comput. 46(1): 313- (2024) - 2023
- [j14]Xiaoqin Zhang, Jingjing Zheng, Di Wang, Guiying Tang, Zhengyuan Zhou, Zhouchen Lin:
Structured Sparsity Optimization With Non-Convex Surrogates of $\ell _{2,0}$ℓ2,0-Norm: A Unified Algorithmic Framework. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6386-6402 (2023) - [j13]Xia Liu, Di Wang, Shao-Bo Lin:
Construction of Deep ReLU Nets for Spatially Sparse Learning. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7746-7760 (2023) - 2022
- [j12]Shao-Bo Lin, Shaojie Tang, Yao Wang, Di Wang:
Toward Efficient Ensemble Learning with Structure Constraints: Convergent Algorithms and Applications. INFORMS J. Comput. 34(6): 3096-3116 (2022) - 2021
- [j11]Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma:
Robust Low-Rank Tensor Recovery with Rectification and Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 43(1): 238-255 (2021) - [j10]Di Wang, Jinshan Zeng, Shao-Bo Lin:
Random Sketching for Neural Networks With ReLU. IEEE Trans. Neural Networks Learn. Syst. 32(2): 748-762 (2021) - [j9]Xiaoqin Zhang, Mingyu Fan, Di Wang, Peng Zhou, Dacheng Tao:
Top-k Feature Selection Framework Using Robust 0-1 Integer Programming. IEEE Trans. Neural Networks Learn. Syst. 32(7): 3005-3019 (2021) - 2020
- [j8]Shao-Bo Lin, Di Wang, Ding-Xuan Zhou:
Distributed Kernel Ridge Regression with Communications. J. Mach. Learn. Res. 21: 93:1-93:38 (2020) - [j7]Xiaoqin Zhang, Jingjing Zheng, Di Wang, Li Zhao:
Exemplar-Based Denoising: A Unified Low-Rank Recovery Framework. IEEE Trans. Circuits Syst. Video Technol. 30(8): 2538-2549 (2020) - [j6]Xiaoqin Zhang, Qianqian Liu, Di Wang, Li Zhao, Nannan Gu, Stephen J. Maybank:
Self-Taught Semisupervised Dictionary Learning With Nonnegative Constraint. IEEE Trans. Ind. Informatics 16(1): 532-543 (2020) - 2019
- [j5]Nannan Gu, Pengying Fan, Mingyu Fan, Di Wang:
Structure regularized self-paced learning for robust semi-supervised pattern classification. Neural Comput. Appl. 31(10): 6559-6574 (2019) - 2018
- [j4]Qiaozhi Zhang, Di Wang, Yanguo Wang:
Convergence of decomposition methods for support vector machines. Neurocomputing 317: 179-187 (2018) - 2016
- [j3]Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye:
Hierarchical mixing linear support vector machines for nonlinear classification. Pattern Recognit. 59: 255-267 (2016) - 2015
- [j2]Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye:
An Efficient Semi-Supervised Classifier Based on Block-Polynomial Mapping. IEEE Signal Process. Lett. 22(10): 1776-1780 (2015) - 2014
- [j1]Nannan Gu, Di Wang, Mingyu Fan, Deyu Meng:
A kernel-based sparsity preserving method for semi-supervised classification. Neurocomputing 139: 345-356 (2014)
Conference and Workshop Papers
- 2020
- [c15]Manman Xu, Runhua Jiang, Tao Wang, Di Wang, Xiaoju Lu:
Structured Dictionary Learning with Block Diagonal Regularization for Image Classification. IEEE BigData 2020: 1416-1423 - 2019
- [c14]Yongli Liu, Xiaoqin Zhang, Guiying Tang, Di Wang:
Multi-View Subspace Clustering based on Tensor Schatten-p Norm. IEEE BigData 2019: 5048-5055 - [c13]Xiaoju Lu, Guiying Tang, Di Wang, Xiaoqin Zhang, Jingjing Zheng:
Structural Dictionary Learning based on Non-convex Surrogate of ℓ₂, ₁ Norm for Classification. IEEE BigData 2019: 5056-5061 - 2018
- [c12]Xiaoqin Zhang, Qianqian Liu, Di Wang, Jie Hu, Nannan Gu, Tianhao Wang:
Semi-Supervised Dictionary Learning Based on Atom Graph Regularization. IEEE BigData 2018: 4665-4671 - [c11]Lei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Mingyu Fan:
Simultaneous Learning of Affinity Matrix and Laplacian Regularized Least Squares for Semi-Supervised Classification. ICIP 2018: 1633-1637 - 2017
- [c10]Mingyu Fan, Xiaojun Chang, Xiaoqin Zhang, Di Wang, Liang Du:
Top-k Supervise Feature Selection via ADMM for Integer Programming. IJCAI 2017: 1646-1653 - 2016
- [c9]Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye:
Semi-Supervised Dictionary Learning via Structural Sparse Preserving. AAAI 2016: 2137-2144 - [c8]Kaifei Zhang, Di Wang, Xiaoqin Zhang, Nannan Gu, Hongxing Jiang, Xiuzi Ye:
Low-Rank Tensor Recovery and Alignment Based on \ell _p Minimization. ACCV Workshops (1) 2016: 96-110 - 2015
- [c7]Fei Liu, Xiaoqin Zhang, Mingyu Fan, Di Wang, Hongxing Jiang, Xiuzi Ye:
Building an Effective Template Dictionary for Robust Offline Video Tracking. CCCV (1) 2015: 344-354 - [c6]Xiaoqin Zhang, Wei Li, Mingyu Fan, Di Wang, Xiuzi Ye:
Multi-Modality Tracker Aggregation: From Generative to Discriminative. IJCAI 2015: 1937-1944 - [c5]Di Wang, Xiaoqin Zhang, Mingyu Fan, Xiuzi Ye:
An Efficient Classifier Based on Hierarchical Mixing Linear Support Vector Machines. IJCAI 2015: 3897-3903 - 2014
- [c4]Xiaoqin Zhang, Zhengyuan Zhou, Di Wang, Yi Ma:
Hybrid Singular Value Thresholding for Tensor Completion. AAAI 2014: 1362-1368 - 2013
- [c3]Sunzhong Lv, Hongxing Jiang, Li Zhao, Di Wang, Mingyu Fan:
Manifold based fisher method for semi-supervised feature selection. FSKD 2013: 664-668 - [c2]Xiaoqin Zhang, Di Wang, Zhengyuan Zhou, Yi Ma:
Simultaneous Rectification and Alignment via Robust Recovery of Low-rank Tensors. NIPS 2013: 1637-1645 - 2012
- [c1]Di Wang, Xiaoqin Zhang, Wei Liu, Mingyu Fan:
Multiple cues integration for part-based adaptive workpieces detection. FSKD 2012: 715-719
Informal and Other Publications
- 2024
- [i6]Xiaotong Liu, Jinxin Wang, Di Wang, Shao-Bo Lin:
Weighted Spectral Filters for Kernel Interpolation on Spheres: Estimates of Prediction Accuracy for Noisy Data. CoRR abs/2401.08364 (2024) - 2023
- [i5]Di Wang, Yao Wang, Shaojie Tang, Shao-Bo Lin:
Kernel-Based Distributed Q-Learning: A Scalable Reinforcement Learning Approach for Dynamic Treatment Regimes. CoRR abs/2302.10434 (2023) - [i4]Shaobo Lin, Di Wang, Ding-Xuan Zhou:
Sketching with Spherical Designs for Noisy Data Fitting on Spheres. CoRR abs/2303.04550 (2023) - [i3]Di Wang, Xiaotong Liu, Shao-Bo Lin, Ding-Xuan Zhou:
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos. CoRR abs/2309.04236 (2023) - [i2]Shao-Bo Lin, Xingping Sun, Di Wang:
Distributed Uncertainty Quantification of Kernel Interpolation on Spheres. CoRR abs/2310.16384 (2023) - 2020
- [i1]Shao-Bo Lin, Di Wang, Ding-Xuan Zhou:
Distributed Kernel Ridge Regression with Communications. CoRR abs/2003.12210 (2020)
Coauthor Index
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