2 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Factorized AdaBoost.MH Achieves the Same Convergence Rate as AdaBoost.MH
Xin Zou, Jingyuan Xu
{AdaBoost.MH} reduces multi-class classification to a collection of binary subproblems and enjoys the classical boosting-type convergence guarantee under a weak learning condition.…
cs.LG2026
Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization
Xinhai Zou, Chang Zhao, Alireza Aghabagherloo +3
Gradient-based adversarial attacks remain a dominant threat to deep neural networks (DNNs), as they exploit gradient information to efficiently optimize adversarial perturbations.…
cs.LG2024★ 2 cited
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data
Xin Zou, Weiwei Liu
Out-of-distribution (OOD) generalization has attracted increasing research attention in recent years, due to its promising experimental results in real-world applications. In this…