Defending Against Adversarial Attacks via Neural Dynamic System. - Xiyuan Li; Xin Zou 002; Weiwei Liu 003 (NeurIPS, 2022)

On the Adversarial Robustness of Out-of-distribution Generalization Models. - Xin Zou 002; Weiwei Liu 003 (NeurIPS, 2023)

Generalization Bounds for Adversarial Contrastive Learning. - Xin Zou 002; Weiwei Liu 003 (J. Mach. Learn. Res., 2023)

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data. - Xin Zou 002; Weiwei Liu 003 (AAAI, 2024)

A Provable Decision Rule for Out-of-Distribution Detection. - Xinsong Ma; Xin Zou 002; Weiwei Liu 003 (ICML, 2024)

A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers. - Xin Zou 002; Zhengyu Zhou; Jingyuan Xu; Weiwei Liu 003 (NeurIPS, 2024)

Residual network with self-adaptive time step size. - Xiyuan Li; Xin Zou 002; Weiwei Liu 003 (Pattern Recognit., 2025)