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ORCIDZhong Li 0004
Person information
- affiliation: Microsoft Research Asia, Machine Learning Group, Beijing, China
- affiliation (PhD 2022): Peking University, School of Mathematical Sciences, Beijing, China
Other persons with the same name
- Zhong Li (aka: Li Zhong) — disambiguation page
- Zhong Li 0001
![[0000-0002-3443-0557]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-3443-0557")
— FernUniversität Hagen, Faculty of Mathematics and Computer Science, Germany (and 1 more) - Zhong Li 0002 — Leiden University, The Netherlands
- Zhong Li 0003 — Fuzhou University, School of Mathematics and Statistics, Fujian, China
- Zhong Li 0005 — Institute of Disaster Prevention, School of Emergency Management, Beijing, China
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Journal Articles
- 2022
[j1]Zhong Li, Jiequn Han, Weinan E, Qianxiao Li:
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks. J. Mach. Learn. Res. 23: 42:1-42:85 (2022)
Conference and Workshop Papers
- 2024
- [c5]Shida Wang, Zhong Li, Qianxiao Li:
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks. ICLR 2024 - 2023
- [c4]Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian:
On the Generalization Properties of Diffusion Models. NeurIPS 2023 - 2022
- [c3]Zhong Li, Haotian Jiang, Qianxiao Li:
On the approximation properties of recurrent encoder-decoder architectures. ICLR 2022 - 2021
- [c2]Zhong Li, Jiequn Han, Weinan E, Qianxiao Li:
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis. ICLR 2021 - [c1]Haotian Jiang, Zhong Li, Qianxiao Li:
Approximation Theory of Convolutional Architectures for Time Series Modelling. ICML 2021: 4961-4970
Informal and Other Publications
- 2023
- [i7]Zeping Min, Qian Ge, Zhong Li, Weinan E:
AMP: A unified framework boosting low resource automatic speech recognition. CoRR abs/2302.03498 (2023) - [i6]Haotian Jiang, Qianxiao Li, Zhong Li, Shida Wang:
A Brief Survey on the Approximation Theory for Sequence Modelling. CoRR abs/2302.13752 (2023) - [i5]Shida Wang, Zhong Li, Qianxiao Li:
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks. CoRR abs/2305.19190 (2023) - [i4]Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian:
On the Generalization Properties of Diffusion Models. CoRR abs/2311.01797 (2023) - 2021
- [i3]Haotian Jiang, Zhong Li, Qianxiao Li:
Approximation Theory of Convolutional Architectures for Time Series Modelling. CoRR abs/2107.09355 (2021) - 2020
- [i2]Zhong Li, Chao Ma, Lei Wu:
Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms. CoRR abs/2009.06132 (2020) - [i1]Zhong Li, Jiequn Han, Weinan E, Qianxiao Li:
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis. CoRR abs/2009.07799 (2020)
Coauthor Index
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