| 2023 | ICML | Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories. | Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao |
| 2022 | ICML | Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint. | Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao |
| 2021 | ICML | Besov Function Approximation and Binary Classification on Low-Dimensional Manifolds Using Convolutional Residual Networks. | Hao Liu, Minshuo Chen, Tuo Zhao, Wenjing Liao |
| 2018 | ICPADS | On the Tradeoff Between Data-Privacy and Utility for Data Publishing. | Wenjing Liao, Jianping He, Shanying Zhu, Cailian Chen, Xinping Guan |
| 2016 | ITW | Learning adaptive multiscale approximations to data and functions near low-dimensional sets. | Wenjing Liao, Mauro Maggioni, Stefano Vigogna |
| 2014 | APWEB | An Adaptive Skew Insensitive Join Algorithm for Large Scale Data Analytics. | Wenjing Liao, Tengjiao Wang, Hongyan Li, Dongqing Yang, Zhen Qiu, Kai Lei |
| 2012 | ACSSC | Super-resolution by compressive sensing algorithms. | Albert Fannjiang, Wenjing Liao |
| 2011 | ACSSC | Compressed sensing phase retrieval. | Albert Fannjiang, Wenjing Liao |