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2020 – today
- 2024
[j16]Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. J. Mach. Learn. Res. 25: 24:1-24:67 (2024)- [j15]Yongping Wang, Wenjing Liao, Hongting Shen, Zilong Jiang, Jincheng Zhou:
Some notes on the basic concepts of support vector machines. J. Comput. Sci. 82: 102390 (2024) - [j14]Hao Liu
, Wenjing Liao:
Learning Functions Varying along a Central Subspace. SIAM J. Math. Data Sci. 6(2): 343-371 (2024) - [i34]Alexander Havrilla, Kevin Rojas, Wenjing Liao, Molei Tao:
DFU: scale-robust diffusion model for zero-shot super-resolution image generation. CoRR abs/2401.06144 (2024) - [i33]Hao Liu, Biraj Dahal, Rongjie Lai, Wenjing Liao:
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning. CoRR abs/2401.10490 (2024) - [i32]Hao Liu, Jiahui Cheng, Wenjing Liao:
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation. CoRR abs/2406.05320 (2024) - [i31]Hao Liu, Zecheng Zhang, Wenjing Liao, Hayden Schaeffer:
Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study. CoRR abs/2410.00357 (2024) - [i30]Alex Havrilla, Wenjing Liao:
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data. CoRR abs/2411.06646 (2024) - 2023
- [j13]Mengyi Tang, Wenjing Liao, Rachel Kuske, Sung Ha Kang:
WeakIdent: Weak formulation for identifying differential equation using narrow-fit and trimming. J. Comput. Phys. 483: 112069 (2023) - [j12]Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu:
Group Projected subspace pursuit for IDENTification of variable coefficient differential equations (GP-IDENT). J. Comput. Phys. 494: 112526 (2023) - [c12]Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao:
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. ICML 2023: 40911-40931 - [i29]Biraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao:
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. CoRR abs/2302.13183 (2023) - [i28]Hao Liu, Alexander Havrilla, Rongjie Lai, Wenjing Liao:
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness. CoRR abs/2303.09863 (2023) - [i27]Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu:
Group projected Subspace Pursuit for Identification of variable coefficient differential equations (GP-IDENT). CoRR abs/2304.05543 (2023) - [i26]Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao:
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. CoRR abs/2306.14859 (2023) - [i25]Mengyi Tang, Hao Liu, Wenjing Liao, Sung Ha Kang:
Fourier Features for Identifying Differential Equations (FourierIdent). CoRR abs/2311.16608 (2023) - 2022
- [j11]Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu:
Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation. SIAM J. Sci. Comput. 44(3): 1145- (2022) - [j10]Weilin Li, Zengying Zhu, Weiguo Gao, Wenjing Liao:
Stability and Super-Resolution of MUSIC and ESPRIT for Multi-Snapshot Spectral Estimation. IEEE Trans. Signal Process. 70: 4555-4570 (2022) - [c11]Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao:
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint. ICML 2022: 13669-13703 - [c10]Biraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao:
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. NeurIPS 2022 - [i24]Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. CoRR abs/2201.00217 (2022) - [i23]Jie Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Yao Xie:
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks. CoRR abs/2205.02043 (2022) - [i22]Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao:
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint. CoRR abs/2206.04569 (2022) - [i21]Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu:
Numerical Identification of Nonlocal Potential in Aggregation. CoRR abs/2207.03358 (2022) - [i20]Mengyi Tang, Wenjing Liao, Rachel Kuske, Sung Ha Kang:
WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming. CoRR abs/2211.03134 (2022) - [i19]Jiahui Cheng, Minshuo Chen, Hao Liu, Tuo Zhao, Wenjing Liao:
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization. CoRR abs/2212.00700 (2022) - 2021
- [j9]Sung Ha Kang, Wenjing Liao, Yingjie Liu:
IDENT: Identifying Differential Equations with Numerical Time Evolution. J. Sci. Comput. 87(1): 1 (2021) - [j8]Tianyu Qiu, Wenjing Liao, Yihui Huang, Jinyu Wu, Di Guo, Dongbao Liu, Xin Wang, Jian-Feng Cai, Bingwen Hu, Xiaobo Qu:
An Automatic Denoising Method for NMR Spectroscopy Based on Low-Rank Hankel Model. IEEE Trans. Instrum. Meas. 70: 1-12 (2021) - [c9]Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. ICML 2021: 6770-6780 - [i18]Wenjing Liao, Mauro Maggioni, Stefano Vigogna:
Multiscale regression on unknown manifolds. CoRR abs/2101.05119 (2021) - [i17]Weilin Li, Zengying Zhu, Weiguo Gao, Wenjing Liao:
Stability and Super-resolution of MUSIC and ESPRIT for Multi-snapshot Spectral Estimation. CoRR abs/2105.14304 (2021) - [i16]Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. CoRR abs/2109.02832 (2021) - 2020
- [j7]Weilin Li, Wenjing Liao, Albert Fannjiang:
Super-Resolution Limit of the ESPRIT Algorithm. IEEE Trans. Inf. Theory 66(7): 4593-4608 (2020) - [i15]Tianyu Qiu, Wenjing Liao, Di Guo, Dongbao Liu, Xin Wang, Xiaobo Qu:
Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices. CoRR abs/2001.11815 (2020) - [i14]Minshuo Chen, Wenjing Liao, Hongyuan Zha, Tuo Zhao:
Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation. CoRR abs/2002.03938 (2020) - [i13]Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu:
Robust PDE Identification from Noisy Data. CoRR abs/2006.06557 (2020) - [i12]Minshuo Chen, Hao Liu, Wenjing Liao, Tuo Zhao:
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks. CoRR abs/2011.01797 (2020)
2010 – 2019
- 2019
- [j6]Wenjing Liao, Mauro Maggioni:
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. J. Mach. Learn. Res. 20: 98:1-98:63 (2019) - [c8]Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao:
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. NeurIPS 2019: 8172-8182 - [i11]Weilin Li, Wenjing Liao:
Conditioning of restricted Fourier matrices and super-resolution of MUSIC. CoRR abs/1905.00783 (2019) - [i10]Weilin Li, Wenjing Liao, Albert Fannjiang:
Super-resolution limit of the ESPRIT algorithm. CoRR abs/1905.03782 (2019) - [i9]Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao:
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. CoRR abs/1908.01842 (2019) - 2018
- [c7]Wenjing Liao, Jianping He, Shanying Zhu, Cailian Chen, Xinping Guan:
On the Tradeoff Between Data-Privacy and Utility for Data Publishing. ICPADS 2018: 779-786 - [c6]Myung Cho, Wenjing Liao, Yuejie Chi:
A Non-Convex Approach To Joint Sensor Calibration And Spectrum Estimation. SSP 2018: 398-402 - 2017
- [i8]Yonina C. Eldar, Wenjing Liao, Sui Tang:
Sensor Calibration for Off-the-Grid Spectral Estimation. CoRR abs/1707.03378 (2017) - [i7]Weilin Li, Wenjing Liao:
Stable super-resolution limit and smallest singular value of restricted Fourier matrices. CoRR abs/1709.03146 (2017) - 2016
- [c5]Wenjing Liao, Mauro Maggioni, Stefano Vigogna:
Learning adaptive multiscale approximations to data and functions near low-dimensional sets. ITW 2016: 226-230 - [i6]Wenjing Liao, Mauro Maggioni:
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. CoRR abs/1611.01179 (2016) - 2015
- [j5]Wenjing Liao:
MUSIC for Multidimensional Spectral Estimation: Stability and Super-Resolution. IEEE Trans. Signal Process. 63(23): 6395-6406 (2015) - [i5]Wenjing Liao:
MUSIC for multidimensional spectral estimation: stability and super-resolution. CoRR abs/1511.02727 (2015) - 2014
- [j4]Wenjing Liao, Robert Williams:
Ideal Code Constrained Supervised Sparse Coding. J. Comput. 9(4): 836-844 (2014) - [j3]Wenjing Liao:
Contextual Patch Feature Learning for Face Recognition. J. Softw. 9(7): 1827-1832 (2014) - [c4]Wenjing Liao, Tengjiao Wang, Hongyan Li, Dongqing Yang, Zhen Qiu, Kai Lei:
An Adaptive Skew Insensitive Join Algorithm for Large Scale Data Analytics. APWeb 2014: 494-502 - [c3]Wenjing Liao:
MUSIC for joint frequency estimation: Stability with compressive measurements. GlobalSIP 2014: 414-418 - [i4]Wenjing Liao, Albert Fannjiang:
MUSIC for Single-Snapshot Spectral Estimation: Stability and Super-resolution. CoRR abs/1404.1484 (2014) - 2013
- [j2]Wenjing Liao, Z. Balzen:
LSSVM Network Flow Prediction Based on the Self-adaptive Genetic Algorithm Optimization. J. Networks 8(2): 507-512 (2013) - 2012
- [j1]Albert Fannjiang, Wenjing Liao:
Coherence Pattern-Guided Compressive Sensing with Unresolved Grids. SIAM J. Imaging Sci. 5(1): 179-202 (2012) - [c2]Albert Fannjiang, Wenjing Liao:
Super-resolution by compressive sensing algorithms. ACSCC 2012: 411-415 - [i3]Albert Fannjiang, Wenjing Liao:
Super-Resolution by Compressive Sensing Algorithms. CoRR abs/1211.5870 (2012) - 2011
- [c1]Albert Fannjiang, Wenjing Liao:
Compressed sensing phase retrieval. ACSCC 2011: 735-738 - [i2]Albert Fannjiang, Wenjing Liao:
Coherence-Pattern Guided Compressive Sensing with Unresolved Grids. CoRR abs/1106.5177 (2011) - [i1]Albert Fannjiang, Wenjing Liao:
Mismatch and resolution in compressive imaging. CoRR abs/1109.0660 (2011)
Coauthor Index
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