Wenjing Liao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 44

Top Topics

Spectral Estimation

Differential Equations

Top Venues

J. Comput. Phys.

IEEE Trans. Signal Process.

Publications

Hao Liu, Wenjing Liao
Learning Functions Varying along a Central Subspace. SIAM J. Math. Data Sci. 6 (2) (2024)
Hao Liu, Jiahui Cheng, Wenjing Liao
Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation. CoRR (2024)
Alexander Havrilla, Kevin Rojas, Wenjing Liao, Molei Tao
DFU: scale-robust diffusion model for zero-shot super-resolution image generation. CoRR (2024)
Hao Liu, Biraj Dahal, Rongjie Lai, Wenjing Liao
Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning. CoRR (2024)
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 (2023)
Hao Liu, Alex Havrilla, Rongjie Lai, Wenjing Liao
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness. CoRR (2023)
Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. ICML (2023)
Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. CoRR (2023)
Biraj Dahal, Alex Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. CoRR (2023)
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 (2023)
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 (2023)
Mengyi Tang, Hao Liu, Wenjing Liao, Sung Ha Kang
Fourier Features for Identifying Differential Equations (FourierIdent). CoRR (2023)
Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. CoRR (2022)
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) (2022)
Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint. CoRR (2022)
Mengyi Tang, Wenjing Liao, Rachel Kuske, Sung Ha Kang
WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming. CoRR (2022)
Jie Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Yao Xie
A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks. CoRR (2022)
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 (2022)
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)
Biraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. NeurIPS (2022)
Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu
Numerical Identification of Nonlocal Potential in Aggregation. CoRR (2022)
Jiahui Cheng, Minshuo Chen, Hao Liu, Tuo Zhao, Wenjing Liao
High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization. CoRR (2022)
Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. ICML (2021)
Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao
Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. CoRR (2021)
Weilin Li, Zengying Zhu, Weiguo Gao, Wenjing Liao
Stability and Super-resolution of MUSIC and ESPRIT for Multi-snapshot Spectral Estimation. CoRR (2021)
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 (2021)
Sung Ha Kang, Wenjing Liao, Yingjie Liu
IDENT: Identifying Differential Equations with Numerical Time Evolution. J. Sci. Comput. 87 (1) (2021)
Wenjing Liao, Mauro Maggioni, Stefano Vigogna
Multiscale regression on unknown manifolds. CoRR (2021)
Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu
Robust PDE Identification from Noisy Data. CoRR (2020)
Weilin Li, Wenjing Liao, Albert Fannjiang
Super-Resolution Limit of the ESPRIT Algorithm. IEEE Trans. Inf. Theory 66 (7) (2020)
Minshuo Chen, Hao Liu, Wenjing Liao, Tuo Zhao
Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks. CoRR (2020)
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 (2020)
Minshuo Chen, Wenjing Liao, Hongyuan Zha, Tuo Zhao
Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation. CoRR (2020)
Wenjing Liao, Mauro Maggioni
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. J. Mach. Learn. Res. 20 (2019)
Weilin Li, Wenjing Liao, Albert Fannjiang
Super-resolution limit of the ESPRIT algorithm. CoRR (2019)
Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. NeurIPS (2019)
Weilin Li, Wenjing Liao
Conditioning of restricted Fourier matrices and super-resolution of MUSIC. CoRR (2019)
Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. CoRR (2019)
Myung Cho, Wenjing Liao, Yuejie Chi
A Non-Convex Approach To Joint Sensor Calibration And Spectrum Estimation. SSP (2018)
Wenjing Liao, Jianping He, Shanying Zhu, Cailian Chen, Xinping Guan
On the Tradeoff Between Data-Privacy and Utility for Data Publishing. ICPADS (2018)
Yonina C. Eldar, Wenjing Liao, Sui Tang
Sensor Calibration for Off-the-Grid Spectral Estimation. CoRR (2017)
Weilin Li, Wenjing Liao
Stable super-resolution limit and smallest singular value of restricted Fourier matrices. CoRR (2017)
Wenjing Liao, Mauro Maggioni, Stefano Vigogna
Learning adaptive multiscale approximations to data and functions near low-dimensional sets. ITW (2016)
Wenjing Liao, Mauro Maggioni
Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. CoRR (2016)
Wenjing Liao
MUSIC for Multidimensional Spectral Estimation: Stability and Super-Resolution. IEEE Trans. Signal Process. 63 (23) (2015)
Wenjing Liao
MUSIC for multidimensional spectral estimation: stability and super-resolution. CoRR (2015)
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)
Wenjing Liao
MUSIC for joint frequency estimation: Stability with compressive measurements. GlobalSIP (2014)
Wenjing Liao, Robert Williams
Ideal Code Constrained Supervised Sparse Coding. J. Comput. 9 (4) (2014)
Wenjing Liao
Contextual Patch Feature Learning for Face Recognition. J. Softw. 9 (7) (2014)
Wenjing Liao, Albert Fannjiang
MUSIC for Single-Snapshot Spectral Estimation: Stability and Super-resolution. CoRR (2014)
Wenjing Liao, Z. Balzen
LSSVM Network Flow Prediction Based on the Self-adaptive Genetic Algorithm Optimization. J. Networks 8 (2) (2013)
Albert Fannjiang, Wenjing Liao
Coherence Pattern-Guided Compressive Sensing with Unresolved Grids. SIAM J. Imaging Sci. 5 (1) (2012)
Albert Fannjiang, Wenjing Liao
Super-resolution by compressive sensing algorithms. ACSCC (2012)
Albert Fannjiang, Wenjing Liao
Super-Resolution by Compressive Sensing Algorithms CoRR (2012)
Albert Fannjiang, Wenjing Liao
Mismatch and resolution in compressive imaging CoRR (2011)
Albert Fannjiang, Wenjing Liao
Coherence-Pattern Guided Compressive Sensing with Unresolved Grids CoRR (2011)
Albert Fannjiang, Wenjing Liao
Compressed sensing phase retrieval. ACSCC (2011)