Wenjing Liao

Assistant Professor, Georgia Institute of Technology

Joined

July 2019

Names

Wenjing Liao

Emails

****@gatech.edu (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Assistant Professor

Georgia Institute of Technology (gatech.edu)

2017 – Present

Postdoc

Johns Hopkins University (math.jhu.edu)

2016 – 2017

Postdoc

Duke University (math.duke.edu)

2013 – 2016

Advisors, Relations & Conflicts

PhD Advisor

Albert Fannjiang

2008 – 2013

Expertise

Operator learning

2021 – Present

Neural network approximation theory

2018 – Present

Manifold learning

2015 – Present

Publications

Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
Zhaiming Shen, Alexander Hsu, Rongjie Lai, Wenjing Liao
- ICLR 2026 Poster
- Readers: Everyone
Understanding Scaling Laws with Statistical and Approximation Theory for Transformer Neural Networks on Intrinsically Low-dimensional Data
Alexander Havrilla, Wenjing Liao
- NeurIPS 2024 poster
- Readers: Everyone
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Alexander Havrilla, Biraj Dahal, Minshuo Chen, Wenjing Liao, Tuo Zhao
- 22 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
Effective Minkowski Dimension of Deep Nonparametric Regression: Function Approximation and Statistical Theories
Zixuan Zhang, Minshuo Chen, Mengdi Wang, Wenjing Liao, Tuo Zhao
- ICML 2023 Poster
- Readers: Everyone
Deep Nonparametric Estimation of Intrinsic Data Structures by Chart Autoencoders: Generalization Error and Robustness
Hao Liu, Alex Havrilla, Rongjie Lai, Wenjing Liao
- 2023 (modified: 16 Apr 2023)
- CoRR 2023
- Readers: Everyone
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Biraj Dahal, Alex Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao
- 2023 (modified: 16 Apr 2023)
- CoRR 2023
- Readers: Everyone
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint
Hao Liu, Minshuo Chen, Siawpeng Er, Wenjing Liao, Tong Zhang, Tuo Zhao
- 06 Oct 2022 (modified: 05 May 2023)
- INTERPOLATE at NeurIPS 2022
- Readers: Everyone
On Deep Generative Models for Approximation and Estimation of Distributions on Manifolds
Biraj Dahal, Alexander Havrilla, Minshuo Chen, Tuo Zhao, Wenjing Liao
- Published: 31 Oct 2022, Last Modified: 16 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone
Stability and Super-Resolution of MUSIC and ESPRIT for Multi-Snapshot Spectral Estimation
Weilin Li, Zengying Zhu, Weiguo Gao, Wenjing Liao
- 2022 (modified: 16 Apr 2023)
- IEEE Trans. Signal Process. 2022
- Readers: Everyone
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces
Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone

View all 48 publications

Co-Authors

View all 43 co-authors