Linear Stability Hypothesis and Rank Stratification for Nonlinear Models. - Yaoyu Zhang; Zhongwang Zhang; Leyang Zhang; Zhiwei Bai; Tao Luo 012; Zhi-Qin John Xu (CoRR, 2022)

Optimistic Estimate Uncovers the Potential of Nonlinear Models. - Yaoyu Zhang; Zhongwang Zhang; Leyang Zhang; Zhiwei Bai; Tao Luo 012; Zhi-Qin John Xu (CoRR, 2023)

Structure and Gradient Dynamics Near Global Minima of Two-layer Neural Networks. - Leyang Zhang; Yaoyu Zhang; Tao Luo 012 (CoRR, 2023)

Limitation of Characterizing Implicit Regularization by Data-independent Functions. - Leyang Zhang; Zhi-Qin John Xu; Tao Luo 012; Yaoyu Zhang (Trans. Mach. Learn. Res., 2023)

Geometry of Critical Sets and Existence of Saddle Branches for Two-layer Neural Networks. - Leyang Zhang; Yaoyu Zhang; Tao Luo 012 (CoRR, 2024)

Local Linear Recovery Guarantee of Deep Neural Networks at Overparameterization. - Yaoyu Zhang; Leyang Zhang; Zhongwang Zhang; Zhiwei Bai (CoRR, 2024)

Linear Independence of Generalized Neurons and Related Functions. - Leyang Zhang (CoRR, 2024)

Utilizing Dual-Channel Graph and Hypergraph Convolution Network to Discover Microbes Underlying Disease Traits. - Jing Chen 036; Leyang Zhang; Zhipan Liang (J. Chem. Inf. Model., 2025)

Uncovering Critical Sets of Deep Neural Networks via Sample-Independent Critical Lifting. - Leyang Zhang; Yaoyu Zhang; Tao Luo (CoRR, 2025)