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Wei Cai

12 papers hereh-index 11627 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author2
  • first author3
  • middle author1
  • last author6

Across the 12 of 12 papers where every author was matched, so the position is known.

fields
  • math.NA7
  • cs.LG2
  • eess.SP2
  • physics.comp-ph1
same name
  • Wei Cai — 10 papers, h 14
  • Wei Cai — 8 papers, h 3
  • Wei Cai — 7 papers, h 1
  • Wei Cai — 6 papers, h 2
  • Wei Cai — 6 papers, h 11
  • Wei Cai — 5 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedMulti-scale Deep Neural Network (MscaleDNN) Methods for Oscillatory Stokes Flows in Complex Domains

61 citations · 114 across the 8 of their papers we have counts for

collaborators
Showing 2019Show all

4 papers · 1 filter

eess.SP2019

A Note on StiffDNN -- a DNN for Stiff Dynamic Systems

Wei Cai

In this note, we will present a specially designed deep neural network (DNN), which will target components of the solution of different time rate individually through perspective o…

cs.LG2019★ 19 cited

Multi-scale Deep Neural Networks for Solving High Dimensional PDEs

Wei Cai, Zhi-Qin John Xu

In this paper, we propose the idea of radial scaling in frequency domain and activation functions with compact support to produce a multi-scale DNN (MscaleDNN), which will have the…

cs.LG2019

A Phase Shift Deep Neural Network for High Frequency Approximation and Wave Problems

Wei Cai, Xiaoguang Li, Lizuo Liu

In this paper, we propose a phase shift deep neural network (PhaseDNN), which provides a uniform wideband convergence in approximating high frequency functions and solutions of wav…

eess.SP2019★ 6 cited

PhaseDNN - A Parallel Phase Shift Deep Neural Network for Adaptive Wideband Learning

Wei Cai, Xiaoguang Li, Lizuo Liu

In this paper, we propose a phase shift deep neural network (PhaseDNN) which provides a wideband convergence in approximating a high dimensional function during its training of the…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.