Juncai He

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 29

Top Topics

Arbitrary Dimension

Linear Regression

Top Venues

J. Comput. Sci.

Comput. Math. Appl.

Appl. Math. Comput.

Publications

Juncai He, Liangchen Liu, Yen-Hsi Richard Tsai
Data-induced multiscale losses and efficient multirate gradient descent schemes. CoRR (2024)
Yahong Yang, Juncai He
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss. CoRR (2024)
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
AceGPT, Localizing Large Language Models in Arabic. NAACL-HLT (2024)
Juncai He, Xinliang Liu, Jinchao Xu
MgNO: Efficient Parameterization of Linear Operators via Multigrid. ICLR (2024)
Yuhao Zhou, Zhenxue He, Jianhui Jiang, Jia Liu, Juncai He, Tao Wang, Limin Xiao, Xiang Wang
Fast Area Optimization Approach for XNOR/OR-based Fixed Polarity Reed-Muller Logic Circuits based on Multi-strategy Wolf Pack Algorithm. ACM Trans. Design Autom. Electr. Syst. 28 (3) (2023)
Juncai He, Tong Mao, Jinchao Xu
Activation. CoRR (2023)
Jianqing Zhu, Juncai He, Lian Zhang, Jinchao Xu
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting. CoRR (2023)
Jianqing Zhu, Juncai He, Qiumei Huang
An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations. CoRR (2023)
Jianqing Zhu, Juncai He, Lian Zhang, Jinchao Xu
FV-MgNet: Fully connected V-cycle MgNet for interpretable time series forecasting. J. Comput. Sci. 69 (2023)
Liangchen Liu, Juncai He, Yen-Hsi Tsai
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. TAG-ML (2023)
Juncai He, Xinliang Liu, Jinchao Xu
MgNO: Efficient Parameterization of Linear Operators via Multigrid. CoRR (2023)
Juncai He, Jinchao Xu, Lian Zhang, Jianqing Zhu
An interpretive constrained linear model for ResNet and MgNet. Neural Networks 162 (2023)
Liangchen Liu, Juncai He, Richard Tsai
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. CoRR (2023)
Juncai He, Jinchao Xu
Deep Neural Networks and Finite Elements of Any Order on Arbitrary Dimensions. CoRR (2023)
Juncai He
On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation with Kolmogorov Superposition Theorem. CoRR (2023)
Qipin Chen, Wenrui Hao, Juncai He
A weight initialization based on the linear product structure for neural networks. Appl. Math. Comput. 415 (2022)
Qipin Chen, Wenrui Hao, Juncai He
Power series expansion neural network. J. Comput. Sci. 59 (2022)
Juncai He, Lin Li, Jinchao Xu
ReLU deep neural networks from the hierarchical basis perspective. Comput. Math. Appl. 120 (2022)
Juncai He, Richard Tsai, Rachel Ward
Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space. CoRR (2022)
Qipin Chen, Wenrui Hao, Juncai He
A Weight Initialization Based on the Linear Product Structure for Neural Networks. CoRR (2021)
Juncai He, Jinchao Xu, Lian Zhang, Jianqing Zhu
An Interpretive Constrained Linear Model for ResNet and MgNet. CoRR (2021)
Juncai He, Lin Li, Jinchao Xu
Approximation Properties of Deep ReLU CNNs. CoRR (2021)
Qipin Chen, Wenrui Hao, Juncai He
Power series expansion neural network. CoRR (2021)
Juncai He, Lin Li, Jinchao Xu
ReLU Deep Neural Networks from the Hierarchical Basis Perspective. CoRR (2021)
Juncai He, Xiaodong Jia, Jinchao Xu, Lian Zhang, Liang Zhao
regularization effective in training sparse CNN. Comput. Optim. Appl. 77 (1) (2020)
Juncai He, Kaibo Hu, Jinchao Xu
Generalized Gaffney inequality and discrete compactness for discrete differential forms. Numerische Mathematik 143 (4) (2019)
Juncai He, Yuyan Chen, Jinchao Xu
Constrained Linear Data-feature Mapping for Image Classification. CoRR (2019)
Juncai He, Jinchao Xu
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network. CoRR (2019)
Xiaodong Jia, Liang Zhao, Lian Zhang, Juncai He, Jinchao Xu
Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks. CoRR (2018)