Modeling an Environment: Agents in Character Feature Extraction. - Lijia Zhou; Stan Franklin (Agents, 1997)

New inequalities on sparse representation in pairs of bases. - Guanlei Xu; Xiaotong Wang; Lijia Zhou; Xiaogang Xu 001 (IET Signal Process., 2013)

Lazy Recoloring. - Guanlei Xu; Xiaotong Wang; Xiaogang Xu 001; Lijia Zhou (ICIG (3), 2017)

Image decomposition and texture analysis via combined bi-dimensional Bedrosian's principles. - Guanlei Xu; Xiaotong Wang; Lijia Zhou; Xiaogang Xu 001 (IET Image Process., 2018)

Designing and Developing High-Confidence Petroleum Extraction Cyber-Physical System Using the Model-Driven Architecture. - Huawei Zhai; Licheng Cui; Weishi Zhang; Lijia Zhou; Xiuguo Zhang (ICPADS, 2019)

On Uniform Convergence and Low-Norm Interpolation Learning. - Lijia Zhou; Danica J. Sutherland; Nati Srebro (NeurIPS, 2020)

Uniform Convergence of Interpolators: Gaussian Width, Norm Bounds and Benign Overfitting. - Frederic Koehler; Lijia Zhou; Danica J. Sutherland; Nathan Srebro (NeurIPS, 2021)

Optimistic Rates: A Unifying Theory for Interpolation Learning and Regularization in Linear Regression. - Lijia Zhou; Frederic Koehler; Danica J. Sutherland; Nathan Srebro (CoRR, 2021)

A Non-Asymptotic Moreau Envelope Theory for High-Dimensional Generalized Linear Models. - Lijia Zhou; Frederic Koehler; Pragya Sur; Danica J. Sutherland; Nati Srebro (NeurIPS, 2022)

Uniform Convergence with Square-Root Lipschitz Loss. - Lijia Zhou; Zhen Dai; Frederic Koehler; Nati Srebro (NeurIPS, 2023)

An Agnostic View on the Cost of Overfitting in (Kernel) Ridge Regression. - Lijia Zhou; James B. Simon; Gal Vardi; Nathan Srebro (ICLR, 2024)