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Juncai He
Observed name:
He, Juncai
Institution:
Tsinghua University
Observed institutions:
Pennsylvania State University,
Peking University,
King Abdullah University of Science and Technology,
The University of Texas at Austin,
Tsinghua University
ORCID:
0000-0001-7311-2626
Observed ORCID:
0000-0001-7311-2626
OpenAlex ID:
A5046020179
MgNet: A unified framework of multigrid and convolutional neural network
2019
·
Juncai He
, Jinchao Xu
·
Science China Mathematics
·
126
PDF
ReLU deep neural networks from the hierarchical basis perspectiveImage 1
2022
·
Juncai He
, Lin Li
, et al.
·
Computers & Mathematics with Applications
·
34
AceGPT, Localizing Large Language Models in Arabic
2024
·
Huang Huang
, Fei Yu
, et al.
·
Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT)
·
25
PDF
Approximation properties of deep ReLU CNNs
2022
·
Juncai He
, Lin Li
, et al.
·
Research in the Mathematical Sciences
·
24
PDF
An interpretive constrained linear model for ResNet and MgNet
2023
·
Juncai He
, Jinchao Xu
, et al.
·
Neural Networks
·
21
A weight initialization based on the linear product structure for neural networks
2021
·
Qipin Chen
, Wenrui Hao
, et al.
·
Applied Mathematics and Computation
·
12
On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation With the Kolmogorov Superposition Theorem
2024
·
Juncai He
·
IEEE Transactions on Neural Networks and Learning Systems
·
9
Power series expansion neural network
2022
·
Qipin Chen
, Wenrui Hao
, et al.
·
Journal of Computational Science
·
8
Generalized Gaffney inequality and discrete compactness for discrete differential forms
2019
·
Juncai He
, Kaibo Hu
, et al.
·
Numerische Mathematik
·
6
PDF
An enhanced V-cycle MgNet model for operator learning in numerical partial differential equations
2023
·
Jianqing Zhu
, Juncai He
, et al.
·
Computational Geosciences
·
5
PDF
Side effects of learning from low-dimensional data embedded in a Euclidean space
2023
·
Juncai He
, Richard Tsai
, et al.
·
Research in the Mathematical Sciences
·
5
PDF
Deep neural networks and finite elements of any order on arbitrary dimensions
2026
·
Juncai He
, Jinchao Xu
·
Mathematical Models and Methods in Applied Sciences
·
4
PDF
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss
2024
·
Yang, Yahong
, He, Juncai
·
arXiv (Cornell University)
·
4
PDF
Expressivity and Approximation Properties of Deep Neural Networks with ReLU$^k$ Activation
2023
·
He, Juncai
, Mao, Tong
, et al.
·
arXiv (Cornell University)
·
4
PDF
On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation with Kolmogorov Superposition Theorem
2023
·
He, Juncai
·
arXiv (Cornell University)
·
4
PDF
FV-MgNet: Fully connected V-cycle MgNet for interpretable time series forecasting
2023
·
Jianqing Zhu
, Juncai He
, et al.
·
Journal of Computational Science
·
4
PDF
Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks.
2018
·
Xiaodong Jia
, Liang Zhao
, et al.
·
3
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs
2024
·
Juhao Liang
, Zhenyang Cai
, et al.
·
neural information processing systems
·
2
PDF
Constrained Linear Data-feature Mapping for Image Classification
2019
·
He, Juncai
, Chen, Yuyan
, et al.
·
arXiv (Cornell University)
·
2
PDF
Self-composing neural operators for high-frequency and multiscale PDE surrogates
2026
·
Juncai He
, Xinliang Liu
, et al.
·
Journal of Computational Physics
·
1
Advanced Long-term Earth System Forecasting
2025
·
Wu, Hao
, Gao, Yuan
, et al.
·
arXiv (Cornell University)
·
1
PDF
Sharp Sobolev Sandwich and Approximation Rates of Radon-Domain $L^p$ Ridge Integral Spaces for ReLU$^k$ Networks
2026
·
He, Juncai
, Tian, Zitong
·
arXiv (Cornell University)
PDF
Neural Flow Operators can Approximate any Operator: Abstract Frameworks and Universal Approximations
2026
·
Chen, Shuang
, He, Juncai
, et al.
·
arXiv (Cornell University)
PDF
Data-Induced Multiscale Losses and Efficient Multirate Gradient Descent Schemes
2026
·
Juncai He
, Liangchen Liu
, et al.
·
Journal of Intelligent Algorithms and Scientific Computing
PDF
Divergence-free Linearized Neural Networks: Integral Representation and Optimal Approximation Rates
2026
·
He, Juncai
, Liu, Xinliang
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
36
Citation count:
311
H-index:
8
I10-index:
6
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