Wenjing Liao - RankMe

74 papers A* 6B 2C 1Journal 61Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Identifying Differential Equations in Fourier Domain (FourierIdent). J. Sci. Comput. Mengyi Tang, Hao Liu, Wenjing Liao, Sung Ha Kang
2025	J	`jnl`	Coefficient-to-Basis Network: A Fine-Tunable Operator Learning Framework for Inverse Problems with Adaptive Discretizations and Theoretical Guarantees. CoRR Zecheng Zhang, Hao Liu, Wenjing Liao, Guang Lin
2025	J	`jnl`	Data-Driven Model Reduction using WeldNet: Windowed Encoders for Learning Dynamics. CoRR Biraj Dahal, Jiahui Cheng, Hao Liu, Rongjie Lai, Wenjing Liao
2025	J	`jnl`	Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation. J. Mach. Learn. Res. Hao Liu, Jiahui Cheng, Wenjing Liao
2025	J	`jnl`	Fresh agricultural products logistics network optimization incorporating departure time under the origin e-commerce model. Ann. Oper. Res. Qunli Yuchi, Wenjing Liao, Juhong Chen
2025	J	`jnl`	IDENT Review: Recent Advances in Identification of Differential Equations from Noisy Data. CoRR Roy Y. He, Hao Liu, Wenjing Liao, Sung Ha Kang
2025	J	`jnl`	Identification of Differential Equations by Dynamics-Guided Weighted Weak Form with Voting. CoRR Jiahui Cheng, Sung Ha Kang, Haomin Zhou, Wenjing Liao
2025	J	`jnl`	Optimality of Gradient-MUSIC for Spectral Estimation. CoRR Albert Fannjiang, Weilin Li, Wenjing Liao
2025	J	`jnl`	Single-shot prediction of parametric partial differential equations. CoRR Khalid Rafiq, Wenjing Liao, Aditya G. Nair
2025	J	`jnl`	Transformers for Learning on Noisy and Task-Level Manifolds: Approximation and Generalization Insights. CoRR Zhaiming Shen, Alex Havrilla, Rongjie Lai, Alexander Cloninger, Wenjing Liao
2025	J	`jnl`	Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods. CoRR Zhaiming Shen, Alexander Hsu, Rongjie Lai, Wenjing Liao
2024	J	`jnl`	DFU: scale-robust diffusion model for zero-shot super-resolution image generation. CoRR Alexander Havrilla, Kevin Rojas, Wenjing Liao, Molei Tao
2024	J	`jnl`	Deep Neural Networks are Adaptive to Function Regularity and Data Distribution in Approximation and Estimation. CoRR Hao Liu, Jiahui Cheng, Wenjing Liao
2024	J	`jnl`	Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. J. Mach. Learn. Res. Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao
2024	J	`jnl`	Generalization Error Guaranteed Auto-Encoder-Based Nonlinear Model Reduction for Operator Learning. CoRR Hao Liu, Biraj Dahal, Rongjie Lai, Wenjing Liao
2024	J	`jnl`	Learning Functions Varying along a Central Subspace. SIAM J. Math. Data Sci. Hao Liu, Wenjing Liao
2024	J	`jnl`	Neural Scaling Laws of Deep ReLU and Deep Operator Network: A Theoretical Study. CoRR Hao Liu, Zecheng Zhang, Wenjing Liao, Hayden Schaeffer
2024	J	`jnl`	Some notes on the basic concepts of support vector machines. J. Comput. Sci. Yongping Wang, Wenjing Liao, Hongting Shen, Zilong Jiang, Jincheng Zhou
2024	A*	`conf`	Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data. NeurIPS Alexander Havrilla, Wenjing Liao
2024	J	`jnl`	Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data. CoRR Alex Havrilla, Wenjing Liao
2023	J	`jnl`	Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness. CoRR Hao Liu, Alexander Havrilla, Rongjie Lai, Wenjing Liao
2023	A*	`conf`	Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. ICML Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao
2023	J	`jnl`	Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. CoRR Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao
2023	J	`jnl`	Fourier Features for Identifying Differential Equations (FourierIdent). CoRR Mengyi Tang, Hao Liu, Wenjing Liao, Sung Ha Kang
2023	J	`jnl`	Group Projected subspace pursuit for IDENTification of variable coefficient differential equations (GP-IDENT). J. Comput. Phys. Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu
2023	J	`jnl`	Group projected Subspace Pursuit for Identification of variable coefficient differential equations (GP-IDENT). CoRR Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu
2023	J	`jnl`	On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. CoRR Biraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao
2023	J	`jnl`	WeakIdent: Weak formulation for identifying differential equation using narrow-fit and trimming. J. Comput. Phys. Mengyi Tang, Wenjing Liao, Rachel Kuske, Sung Ha Kang
2022	J	`jnl`	A Manifold Two-Sample Test Study: Integral Probability Metric with Neural Networks. CoRR Jie Wang, Minshuo Chen, Tuo Zhao, Wenjing Liao, Yao Xie
2022	A*	`conf`	Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint. ICML Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao
2022	J	`jnl`	Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint. CoRR Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao
2022	J	`jnl`	Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. CoRR Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao
2022	J	`jnl`	High Dimensional Binary Classification under Label Shift: Phase Transition and Regularization. CoRR Jiahui Cheng, Minshuo Chen, Hao Liu, Tuo Zhao, Wenjing Liao
2022	J	`jnl`	Numerical Identification of Nonlocal Potential in Aggregation. CoRR Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu
2022	A*	`conf`	On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds. NeurIPS Biraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao
2022	J	`jnl`	Robust Identification of Differential Equations by Numerical Techniques from a Single Set of Noisy Observation. SIAM J. Sci. Comput. Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu
2022	J	`jnl`	Stability and Super-Resolution of MUSIC and ESPRIT for Multi-Snapshot Spectral Estimation. IEEE Trans. Signal Process. Weilin Li, Zengying Zhu, Weiguo Gao, Wenjing Liao
2022	J	`jnl`	WeakIdent: Weak formulation for Identifying Differential Equations using Narrow-fit and Trimming. CoRR Mengyi Tang, Wenjing Liao, Rachel Kuske, Sung Ha Kang
2021	J	`jnl`	An Automatic Denoising Method for NMR Spectroscopy Based on Low-Rank Hankel Model. IEEE Trans. Instrum. Meas. Tianyu Qiu, Wenjing Liao, Yihui Huang, Jinyu Wu, Di Guo, Dongbao Liu, Xin Wang, Jian-Feng Cai, Bingwen Hu, Xiaobo Qu
2021	A*	`conf`	Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. ICML Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao
2021	J	`jnl`	Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. CoRR Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao
2021	J	`jnl`	IDENT: Identifying Differential Equations with Numerical Time Evolution. J. Sci. Comput. Sung Ha Kang, Wenjing Liao, Yingjie Liu
2021	J	`jnl`	Multiscale regression on unknown manifolds. CoRR Wenjing Liao, Mauro Maggioni, Stefano Vigogna
2021	J	`jnl`	Stability and Super-resolution of MUSIC and ESPRIT for Multi-snapshot Spectral Estimation. CoRR Weilin Li, Zengying Zhu, Weiguo Gao, Wenjing Liao
2020	J	`jnl`	Doubly Robust Off-Policy Learning on Low-Dimensional Manifolds by Deep Neural Networks. CoRR Minshuo Chen, Hao Liu, Wenjing Liao, Tuo Zhao
2020	J	`jnl`	Gaussian noise removal with exponential functions and spectral norm of weighted Hankel matrices. CoRR Tianyu Qiu, Wenjing Liao, Di Guo, Dongbao Liu, Xin Wang, Xiaobo Qu
2020	J	`jnl`	Robust PDE Identification from Noisy Data. CoRR Yuchen He, Sung Ha Kang, Wenjing Liao, Hao Liu, Yingjie Liu
2020	J	`jnl`	Statistical Guarantees of Generative Adversarial Networks for Distribution Estimation. CoRR Minshuo Chen, Wenjing Liao, Hongyuan Zha, Tuo Zhao
2020	J	`jnl`	Super-Resolution Limit of the ESPRIT Algorithm. IEEE Trans. Inf. Theory Weilin Li, Wenjing Liao, Albert Fannjiang
2019	J	`jnl`	Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. J. Mach. Learn. Res. Wenjing Liao, Mauro Maggioni
2019	J	`jnl`	Conditioning of restricted Fourier matrices and super-resolution of MUSIC. CoRR Weilin Li, Wenjing Liao
2019	A*	`conf`	Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. NeurIPS Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao
2019	J	`jnl`	Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds. CoRR Minshuo Chen, Haoming Jiang, Wenjing Liao, Tuo Zhao
2019	J	`jnl`	Super-resolution limit of the ESPRIT algorithm. CoRR Weilin Li, Wenjing Liao, Albert Fannjiang
2018	—	`conf`	A Non-Convex Approach To Joint Sensor Calibration And Spectrum Estimation. SSP Myung Cho, Wenjing Liao, Yuejie Chi
2018	B	`conf`	On the Tradeoff Between Data-Privacy and Utility for Data Publishing. ICPADS Wenjing Liao, Jianping He, Shanying Zhu, Cailian Chen, Xinping Guan
2017	J	`jnl`	Sensor Calibration for Off-the-Grid Spectral Estimation. CoRR Yonina C. Eldar, Wenjing Liao, Sui Tang
2017	J	`jnl`	Stable super-resolution limit and smallest singular value of restricted Fourier matrices. CoRR Weilin Li, Wenjing Liao
2016	J	`jnl`	Adaptive Geometric Multiscale Approximations for Intrinsically Low-dimensional Data. CoRR Wenjing Liao, Mauro Maggioni
2016	B	`conf`	Learning adaptive multiscale approximations to data and functions near low-dimensional sets. ITW Wenjing Liao, Mauro Maggioni, Stefano Vigogna
2015	J	`jnl`	MUSIC for Multidimensional Spectral Estimation: Stability and Super-Resolution. IEEE Trans. Signal Process. Wenjing Liao
2015	J	`jnl`	MUSIC for multidimensional spectral estimation: stability and super-resolution. CoRR Wenjing Liao
2014	C	`conf`	An Adaptive Skew Insensitive Join Algorithm for Large Scale Data Analytics. APWeb Wenjing Liao, Tengjiao Wang, Hongyan Li, Dongqing Yang, Zhen Qiu, Kai Lei
2014	J	`jnl`	Contextual Patch Feature Learning for Face Recognition. J. Softw. Wenjing Liao
2014	J	`jnl`	Ideal Code Constrained Supervised Sparse Coding. J. Comput. Wenjing Liao, Robert Williams
2014	J	`jnl`	MUSIC for Single-Snapshot Spectral Estimation: Stability and Super-resolution. CoRR Wenjing Liao, Albert Fannjiang
2014	—	`conf`	MUSIC for joint frequency estimation: Stability with compressive measurements. GlobalSIP Wenjing Liao
2013	J	`jnl`	LSSVM Network Flow Prediction Based on the Self-adaptive Genetic Algorithm Optimization. J. Networks Wenjing Liao, Z. Balzen
2012	J	`jnl`	Coherence Pattern-Guided Compressive Sensing with Unresolved Grids. SIAM J. Imaging Sci. Albert Fannjiang, Wenjing Liao
2012	J	`jnl`	Super-Resolution by Compressive Sensing Algorithms CoRR Albert Fannjiang, Wenjing Liao
2012	—	`conf`	Super-resolution by compressive sensing algorithms. ACSCC Albert Fannjiang, Wenjing Liao
2011	J	`jnl`	Coherence-Pattern Guided Compressive Sensing with Unresolved Grids CoRR Albert Fannjiang, Wenjing Liao
2011	—	`conf`	Compressed sensing phase retrieval. ACSCC Albert Fannjiang, Wenjing Liao
2011	J	`jnl`	Mismatch and resolution in compressive imaging CoRR Albert Fannjiang, Wenjing Liao