Zhong Li

14 papers A* 5Journal 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
Allocation of Parameters in Transformers.
CoRR
Ruoxi Yu, Haotian Jiang, Jingpu Cheng, Penghao Yu, Qianxiao Li, Zhong Li
2024 A* conf
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks.
ICLR
Shida Wang, Zhong Li, Qianxiao Li
2023 J jnl
A Brief Survey on the Approximation Theory for Sequence Modelling.
CoRR
Haotian Jiang, Qianxiao Li, Zhong Li, Shida Wang
2023 J jnl
AMP: A unified framework boosting low resource automatic speech recognition.
CoRR
Zeping Min, Qian Ge, Zhong Li, Weinan E
2023 J jnl
Inverse Approximation Theory for Nonlinear Recurrent Neural Networks.
CoRR
Shida Wang, Zhong Li, Qianxiao Li
2023 A* conf
On the Generalization Properties of Diffusion Models.
NeurIPS
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2023 J jnl
On the Generalization Properties of Diffusion Models.
CoRR
Puheng Li, Zhong Li, Huishuai Zhang, Jiang Bian
2022 J jnl
Approximation and Optimization Theory for Linear Continuous-Time Recurrent Neural Networks.
J. Mach. Learn. Res.
Zhong Li, Jiequn Han, Weinan E, Qianxiao Li
2022 A* conf
On the approximation properties of recurrent encoder-decoder architectures.
ICLR
Zhong Li, Haotian Jiang, Qianxiao Li
2021 A* conf
Approximation Theory of Convolutional Architectures for Time Series Modelling.
ICML
Haotian Jiang, Zhong Li, Qianxiao Li
2021 J jnl
Approximation Theory of Convolutional Architectures for Time Series Modelling.
CoRR
Haotian Jiang, Zhong Li, Qianxiao Li
2021 A* conf
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis.
ICLR
Zhong Li, Jiequn Han, Weinan E, Qianxiao Li
2020 J jnl
Complexity Measures for Neural Networks with General Activation Functions Using Path-based Norms.
CoRR
Zhong Li, Chao Ma, Lei Wu
2020 J jnl
On the Curse of Memory in Recurrent Neural Networks: Approximation and Optimization Analysis.
CoRR
Zhong Li, Jiequn Han, Weinan E, Qianxiao Li