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ORCIDTong Wu 0008
Person information
- affiliation: Beijing Institute for General Artificial Intelligence, China
- affiliation (PhD 2017): Rutgers University, Piscataway, NJ, USA
Other persons with the same name
- Tong Wu — disambiguation page
- Tong Wu 0001
![[0000-0002-5838-046X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-5838-046X")
— University of Minnesota, Department of Biomedical Engineering, Minneapolis, USA (and 1 more) - Tong Wu 0002 — Chinese University of Hong Kong, Department of Information Engineering, Hong Kong
- Tong Wu 0003 — Beijing University of Posts and Telecommunications, Key laboratory of Universal Wireless Communications, China (and 1 more)
- Tong Wu 0004 — Nanjing University of Aeronautics and Astronautics, Nanjing, China (and 2 more)
- Tong Wu 0005 — University of Texas, San Antonio, TX, USA (and 2 more)
- Tong Wu 0006 — Northwest A&F University, Yangling, China (and 2 more)
- Tong Wu 0007 — UNSW Sydney, Australia
- Tong Wu 0009 — Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China
- Tong Wu 0010 — Washington University in St. Louis, MO, USA
- Tong Wu 0011 — Beijing Institute of Technology, School of Cyberspace Science and Technology, China (and 2 more)
- Tong Wu 0012 — Rutgers University, New Brunswick, NJ, USA
- Tong Wu 0013 — Harbin Institute of Technology, School of Astronautics, Harbin, China
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2020 – today
- 2024
[j5]Tong Wu:
Online Tensor Max-Norm Regularization via Stochastic Optimization. Trans. Mach. Learn. Res. 2024 (2024)- 2023
- [j4]Tong Wu:
Online Tensor Low-Rank Representation for Streaming Data Clustering. IEEE Trans. Circuits Syst. Video Technol. 33(2): 602-617 (2023) - 2020
- [j3]Tong Wu:
Graph regularized low-rank representation for submodule clustering. Pattern Recognit. 100: 107145 (2020) - [c7]Tong Wu:
Online Tensor Low-Rank Representation for Streaming Data. MLSP 2020: 1-6
2010 – 2019
- 2019
- [c6]Tong Wu:
Clustering-Aware Structure-Constrained Low-Rank Submodule Clustering. ACSSC 2019: 1852-1856 - 2018
- [j2]Tong Wu, Waheed U. Bajwa:
A Low Tensor-Rank Representation Approach for Clustering of Imaging Data. IEEE Signal Process. Lett. 25(8): 1196-1200 (2018) - 2016
- [c5]Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa:
Clustering-aware structure-constrained low-rank representation model for learning human action attributes. IVMSP 2016: 1-5 - [i2]Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa:
Human Action Attribute Learning From Video Data Using Low-Rank Representations. CoRR abs/1612.07857 (2016) - 2015
- [j1]Tong Wu, Waheed U. Bajwa:
Learning the Nonlinear Geometry of High-Dimensional Data: Models and Algorithms. IEEE Trans. Signal Process. 63(23): 6229-6244 (2015) - [c4]Tong Wu, Waheed U. Bajwa:
Metric-Constrained Kernel Union of Subspaces. ICASSP 2015: 5778-5782 - [c3]Tong Wu, Prudhvi Gurram, Raghuveer M. Rao, Waheed U. Bajwa:
Hierarchical Union-of-Subspaces Model for Human Activity Summarization. ICCV Workshops 2015: 1053-1061 - 2014
- [c2]Tong Wu, Waheed U. Bajwa:
Revisiting robustness of the union-of-subspaces model for data-adaptive learning of nonlinear signal models. ICASSP 2014: 3390-3394 - [c1]Tong Wu, Waheed U. Bajwa:
Subspace detection in a kernel space: The missing data case. SSP 2014: 93-96 - [i1]Tong Wu, Waheed U. Bajwa:
Learning the nonlinear geometry of high-dimensional data: Models and algorithms. CoRR abs/1412.6808 (2014)
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