Yongqiang Cai

According to our database, Yongqiang Cai authored at least 11 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Retrieval Backward Attention without Additional Training: Enhance Embeddings of Large Language Models via Repetition.

Yifei Duan, Raphael Shang, Deng Liang, Yongqiang Cai

CoRR, February, 2025

Neural networks trained by weight permutation are universal approximators.

Yongqiang Cai, Gaohang Chen, Zhonghua Qiao

Neural Networks, 2025

2024

Vanilla Feedforward Neural Networks as a Discretization of Dynamical Systems.

Yifei Duan, Li'ang Li, Guanghua Ji, Yongqiang Cai

J. Sci. Comput., December, 2024

Vocabulary for Universal Approximation: A Linguistic Perspective of Mapping Compositions.

Yongqiang Cai

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Minimal Control Family of Dynamical Syetem for Universal Approximation.

Yifei Duan, Yongqiang Cai

CoRR, 2023

Minimum Width of Leaky-ReLU Neural Networks for Uniform Universal Approximation.

Li'ang Li, Yifei Duan, Guanghua Ji, Yongqiang Cai

Proceedings of the International Conference on Machine Learning, 2023

Achieve the Minimum Width of Neural Networks for Universal Approximation.

Yongqiang Cai

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Vanilla feedforward neural networks as a discretization of dynamic systems.

Yifei Duan, Li'ang Li, Guanghua Ji, Yongqiang Cai

CoRR, 2022

2020

Optimization in Machine Learning: A Distribution Space Approach.

Yongqiang Cai, Qianxiao Li, Zuowei Shen

CoRR, 2020

2019

A Quantitative Analysis of the Effect of Batch Normalization on Gradient Descent.

Yongqiang Cai, Qianxiao Li, Zuowei Shen

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

On the Convergence and Robustness of Batch Normalization.

Yongqiang Cai, Qianxiao Li, Zuowei Shen

CoRR, 2018