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Tong Mao
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [j7]Yuqing Liu, Tong Mao, Ding-Xuan Zhou:
Approximation of functions from Korobov spaces by shallow neural networks. Inf. Sci. 670: 120573 (2024) - [j6]Zhiying Fang, Tong Mao, Jun Fan:
Learning Korobov Functions by Correntropy and Convolutional Neural Networks. Neural Comput. 36(4): 718-743 (2024) - [i7]Tong Mao, Jonathan W. Siegel, Jinchao Xu:
Approximation Rates for Shallow ReLUk Neural Networks on Sobolev Spaces via the Radon Transform. CoRR abs/2408.10996 (2024) - 2023
- [j5]Tong Mao, Ding-Xuan Zhou:
Rates of approximation by ReLU shallow neural networks. J. Complex. 79: 101784 (2023) - [j4]Tong Mao, Yi Zhang, Kaiqiang Zhu, Houjun Sun:
Micro-Motion Extraction for Marine Targets by Multi-Pulse Delay Conjugate Multiplication and Layered Tracking. Sensors 23(8): 3837 (2023) - [i6]Katarina Doctor, Tong Mao, Hrushikesh N. Mhaskar:
Encoding of data sets and algorithms. CoRR abs/2303.00984 (2023) - [i5]Tong Mao, Ding-Xuan Zhou:
Rates of Approximation by ReLU Shallow Neural Networks. CoRR abs/2307.12461 (2023) - [i4]Hrushikesh N. Mhaskar, Tong Mao:
Tractability of approximation by general shallow networks. CoRR abs/2308.03230 (2023) - [i3]Juncai He, Tong Mao, Jinchao Xu:
Expressivity and Approximation Properties of Deep Neural Networks with ReLUk Activation. CoRR abs/2312.16483 (2023) - 2022
- [j3]Tong Mao, Ding-Xuan Zhou:
Approximation of functions from Korobov spaces by deep convolutional neural networks. Adv. Comput. Math. 48(6): 84 (2022) - 2021
- [j2]Tong Mao, Xunxun Jiang:
The Use of Digital Media Art Using UI and Visual Sensing Image Technology. J. Sensors 2021: 1-11 (2021) - [j1]Tong Mao, Zhongjie Shi, Ding-Xuan Zhou:
Theory of deep convolutional neural networks III: Approximating radial functions. Neural Networks 144: 778-790 (2021) - [i2]Tong Mao, Zhongjie Shi, Ding-Xuan Zhou:
Theory of Deep Convolutional Neural Networks III: Approximating Radial Functions. CoRR abs/2107.00896 (2021) - 2020
- [c4]Qian Qu, Yutong Wang, Wenhao Zhan, Ying Li, Tong Mao, Yinghui Qiu:
Application of 5G Network Slicing in State Grid. HP3C 2020: 112-116
2010 – 2019
- 2014
- [c3]Yu Zeng, Yunqing Chen, Shuntian Feng, Kaiyu Zhou, Xianghui Sun, Tong Mao, Lei Shi, Baohua Lei, Feng Wang, Xiaojun Yan, Quanhui Xu, Bofei Zhang:
Visible light communication system for mobile device. ICUFN 2014: 26-28 - 2012
- [c2]Marius Iulian Corici, Hakan Coskun, Asma Elmangoush, Agus Kurniawan, Tong Mao, Thomas Magedanz, Sebastian Wahle:
OpenMTC: Prototyping Machine Type communication in carrier grade operator networks. GLOBECOM Workshops 2012: 1735-1740 - 2010
- [c1]Christian Senger, Steffen Schober, Tong Mao, Alexander Zeh:
End-to-End algebraic network coding for wireless TCP/IP networks. ICT 2010: 607-612
2000 – 2009
- 2009
- [i1]Christian Senger, Steffen Schober, Tong Mao, Alexander Zeh:
End-to-End Algebraic Network Coding for Wireless TCP/IP Networks. CoRR abs/0911.5667 (2009)
Coauthor Index
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