Juncai He

Orcid: 0000-0001-7311-2626

Affiliations:
  • King Abdullah University of Science and Technology (KAUST), Computer, Electrical and Mathematical Sciences and Engineering Division, Thuwal, Saudi Arabia
  • University of Texas at Austin, Department of Mathematics, TX, USA
  • Pennsylvania State University, Department of Mathematics, PA, USA


According to our database1, Juncai He authored at least 20 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion.
CoRR, 2024

Alignment at Pre-training! Towards Native Alignment for Arabic LLMs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

AceGPT, Localizing Large Language Models in Arabic.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

MgNO: Efficient Parameterization of Linear Operators via Multigrid.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
An interpretive constrained linear model for ResNet and MgNet.
Neural Networks, May, 2023

FV-MgNet: Fully connected V-cycle MgNet for interpretable time series forecasting.
J. Comput. Sci., May, 2023

Expressivity and Approximation Properties of Deep Neural Networks with ReLU<sup>k</sup> Activation.
CoRR, 2023

Deep Neural Networks and Finite Elements of Any Order on Arbitrary Dimensions.
CoRR, 2023

An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations.
CoRR, 2023

2022
Power series expansion neural network.
J. Comput. Sci., 2022

ReLU deep neural networks from the hierarchical basis perspective.
Comput. Math. Appl., 2022

A weight initialization based on the linear product structure for neural networks.
Appl. Math. Comput., 2022

2021
Approximation Properties of Deep ReLU CNNs.
CoRR, 2021

2020
Make ℓ <sub>1</sub> regularization effective in training sparse CNN.
Comput. Optim. Appl., 2020

2019
Generalized Gaffney inequality and discrete compactness for discrete differential forms.
Numerische Mathematik, 2019

Constrained Linear Data-feature Mapping for Image Classification.
CoRR, 2019

MgNet: A Unified Framework of Multigrid and Convolutional Neural Network.
CoRR, 2019

2018
Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks.
CoRR, 2018


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