Kuo Gai

According to our database, Kuo Gai authored at least 10 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Deciphering Shortcut Learning from an Evolutionary Game Theory Perspective.

Xiayang Li, Kuo Gai, Shihua Zhang

CoRR, May, 2026

Progressive Feedforward Collapse of ResNet Training.

Sicong Wang, Kuo Gai, Shihua Zhang

IEEE Trans. Neural Networks Learn. Syst., March, 2026

2025

Feature Dynamics as Implicit Data Augmentation: A Depth-Decomposed View on Deep Neural Network Generalization.

Tianyu Ruan, Kuo Gai, Shihua Zhang

CoRR, September, 2025

On Pseudospectral Concentration for Rank-1 Sampling.

Kuo Gai, Bin Shi

CoRR, May, 2025

2024

Tessellating the Latent Space for Non-Adversarial Generative Auto-Encoders.

Kuo Gai, Shihua Zhang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Matrix normal PCA for interpretable dimension reduction and graphical noise modeling.

Chihao Zhang, Kuo Gai, Shihua Zhang

Pattern Recognit., 2024

OTAD: An Optimal Transport-Induced Robust Model for Agnostic Adversarial Attack.

Kuo Gai, Sicong Wang, Shihua Zhang

CoRR, 2024

Analytical Solution of a Three-layer Network with a Matrix Exponential Activation Function.

Kuo Gai, Shihua Zhang

CoRR, 2024

2021

A Mathematical Principle of Deep Learning: Learn the Geodesic Curve in the Wasserstein Space.

Kuo Gai, Shihua Zhang

CoRR, 2021

2020

Tessellated Wasserstein Auto-Encoders.

Kuo Gai, Shihua Zhang

CoRR, 2020