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ORCIDJuncai He
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2020 – today
- 2024
[c4]Juncai He, Xinliang Liu, Jinchao Xu:
MgNO: Efficient Parameterization of Linear Operators via Multigrid. ICLR 2024- [c3]Yahong Yang, Juncai He:
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss. ICML 2024 - [c2]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: 8139-8163 - [i18]Yahong Yang, Juncai He:
Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss. CoRR abs/2402.00152 (2024) - [i17]Juncai He, Liangchen Liu, Yen-Hsi Richard Tsai:
Data-induced multiscale losses and efficient multirate gradient descent schemes. CoRR abs/2402.03021 (2024) - 2023
- [j8]Jianqing Zhu, Juncai He, Lian Zhang, Jinchao Xu:
FV-MgNet: Fully connected V-cycle MgNet for interpretable time series forecasting. J. Comput. Sci. 69: 102005 (2023) - [j7]Juncai He, Jinchao Xu, Lian Zhang, Jianqing Zhu:
An interpretive constrained linear model for ResNet and MgNet. Neural Networks 162: 384-392 (2023) - [j6]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): 45:1-45:16 (2023) - [c1]Liangchen Liu, Juncai He, Yen-Hsi Tsai:
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. TAG-ML 2023: 557-576 - [i16]Jianqing Zhu, Juncai He, Qiumei Huang:
An Enhanced V-cycle MgNet Model for Operator Learning in Numerical Partial Differential Equations. CoRR abs/2302.00938 (2023) - [i15]Jianqing Zhu, Juncai He, Lian Zhang, Jinchao Xu:
FV-MgNet: Fully Connected V-cycle MgNet for Interpretable Time Series Forecasting. CoRR abs/2302.00962 (2023) - [i14]Liangchen Liu, Juncai He, Richard Tsai:
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. CoRR abs/2307.02478 (2023) - [i13]Juncai He:
On the Optimal Expressive Power of ReLU DNNs and Its Application in Approximation with Kolmogorov Superposition Theorem. CoRR abs/2308.05509 (2023) - [i12]Juncai He, Xinliang Liu, Jinchao Xu:
MgNO: Efficient Parameterization of Linear Operators via Multigrid. CoRR abs/2310.19809 (2023) - [i11]Juncai He, Jinchao Xu:
Deep Neural Networks and Finite Elements of Any Order on Arbitrary Dimensions. CoRR abs/2312.14276 (2023) - [i10]Juncai He, Tong Mao, Jinchao Xu:
Expressivity and Approximation Properties of Deep Neural Networks with ReLUk Activation. CoRR abs/2312.16483 (2023) - 2022
- [j5]Qipin Chen, Wenrui Hao, Juncai He:
A weight initialization based on the linear product structure for neural networks. Appl. Math. Comput. 415: 126722 (2022) - [j4]Juncai He, Lin Li, Jinchao Xu:
ReLU deep neural networks from the hierarchical basis perspective. Comput. Math. Appl. 120: 105-114 (2022) - [j3]Qipin Chen, Wenrui Hao, Juncai He:
Power series expansion neural network. J. Comput. Sci. 59: 101552 (2022) - [i9]Juncai He, Richard Tsai, Rachel A. Ward:
Side-effects of Learning from Low Dimensional Data Embedded in an Euclidean Space. CoRR abs/2203.00614 (2022) - 2021
- [i8]Qipin Chen, Wenrui Hao, Juncai He:
Power series expansion neural network. CoRR abs/2102.13221 (2021) - [i7]Juncai He, Lin Li, Jinchao Xu:
ReLU Deep Neural Networks from the Hierarchical Basis Perspective. CoRR abs/2105.04156 (2021) - [i6]Qipin Chen, Wenrui Hao, Juncai He:
A Weight Initialization Based on the Linear Product Structure for Neural Networks. CoRR abs/2109.00125 (2021) - [i5]Juncai He, Lin Li, Jinchao Xu:
Approximation Properties of Deep ReLU CNNs. CoRR abs/2109.00190 (2021) - [i4]Juncai He, Jinchao Xu, Lian Zhang, Jianqing Zhu:
An Interpretive Constrained Linear Model for ResNet and MgNet. CoRR abs/2112.07441 (2021) - 2020
- [j2]Juncai He, Xiaodong Jia, Jinchao Xu, Lian Zhang, Liang Zhao:
Make ℓ 1 regularization effective in training sparse CNN. Comput. Optim. Appl. 77(1): 163-182 (2020)
2010 – 2019
- 2019
- [j1]Juncai He, Kaibo Hu, Jinchao Xu:
Generalized Gaffney inequality and discrete compactness for discrete differential forms. Numerische Mathematik 143(4): 781-795 (2019) - [i3]Juncai He, Jinchao Xu:
MgNet: A Unified Framework of Multigrid and Convolutional Neural Network. CoRR abs/1901.10415 (2019) - [i2]Juncai He, Yuyan Chen, Jinchao Xu:
Constrained Linear Data-feature Mapping for Image Classification. CoRR abs/1911.10428 (2019) - 2018
- [i1]Xiaodong Jia, Liang Zhao, Lian Zhang, Juncai He, Jinchao Xu:
Modified Regularized Dual Averaging Method for Training Sparse Convolutional Neural Networks. CoRR abs/1807.04222 (2018)
Coauthor Index
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