Juncai He

According to our database, Juncai He authored at least 22 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Data-induced multiscale losses and efficient multirate gradient descent schemes.

Juncai He, Liangchen Liu, Yen-Hsi Richard Tsai

CoRR, 2024

AceGPT, Localizing Large Language Models in Arabic.

Huang Huang, Fei Yu, Jianqing Zhu, Xuening Sun, Hao Cheng, Dingjie Song, Zhihong Chen, Mosen Alharthi, Bang An, Juncai He, Ziche Liu, Junying Chen, Jianquan Li, Benyou Wang, Lian Zhang, Ruoyu Sun, Xiang Wan, Haizhou Li, Jinchao Xu

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.

Yahong Yang, Juncai He

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

MgNO: Efficient Parameterization of Linear Operators via Multigrid.

Juncai He, Xinliang Liu, Jinchao Xu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

An interpretive constrained linear model for ResNet and MgNet.

Juncai He, Jinchao Xu, Lian Zhang, Jianqing Zhu

Neural Networks, May, 2023

FV-MgNet: Fully connected V-cycle MgNet for interpretable time series forecasting.

Jianqing Zhu, Juncai He, Lian Zhang, Jinchao Xu

J. Comput. Sci., May, 2023

Fast Area Optimization Approach for XNOR/OR-based Fixed Polarity Reed-Muller Logic Circuits based on Multi-strategy Wolf Pack Algorithm.

Yuhao Zhou, Zhenxue He, Jianhui Jiang, Jia Liu, Juncai He, Tao Wang, Limin Xiao, Xiang Wang

ACM Trans. Design Autom. Electr. Syst., 2023

Expressivity and Approximation Properties of Deep Neural Networks with ReLU^k Activation.

Juncai He, Tong Mao, Jinchao Xu

CoRR, 2023

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

Juncai He, Jinchao Xu

CoRR, 2023

On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation with Kolmogorov Superposition Theorem.

Juncai He

CoRR, 2023

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

Jianqing Zhu, Juncai He, Qiumei Huang

CoRR, 2023

Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions.

Liangchen Liu, Juncai He, Yen-Hsi Tsai

Proceedings of the Topological, 2023

2022

Power series expansion neural network.

Qipin Chen, Wenrui Hao, Juncai He

J. Comput. Sci., 2022

Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space.

Juncai He, Richard Tsai, Rachel A. Ward

CoRR, 2022

ReLU deep neural networks from the hierarchical basis perspective.

Juncai He, Lin Li, Jinchao Xu

Comput. Math. Appl., 2022

A weight initialization based on the linear product structure for neural networks.

Qipin Chen, Wenrui Hao, Juncai He

Appl. Math. Comput., 2022

2021

Approximation Properties of Deep ReLU CNNs.

Juncai He, Lin Li, Jinchao Xu

CoRR, 2021

2020

Make ℓ ₁ regularization effective in training sparse CNN.

Juncai He, Xiaodong Jia, Jinchao Xu, Lian Zhang, Liang Zhao

Comput. Optim. Appl., 2020

2019

Generalized Gaffney inequality and discrete compactness for discrete differential forms.

Juncai He, Kaibo Hu, Jinchao Xu

Numerische Mathematik, 2019

Constrained Linear Data-feature Mapping for Image Classification.

Juncai He, Yuyan Chen, Jinchao Xu

CoRR, 2019

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

Juncai He, Jinchao Xu

CoRR, 2019

2018

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

Xiaodong Jia, Liang Zhao, Lian Zhang, Juncai He, Jinchao Xu

CoRR, 2018