Liu, Xuanqing

10 publications

ICLR 2021 Evaluations and Methods for Explanation Through Robustness Analysis Cheng-Yu Hsieh, Chih-Kuan Yeh, Xuanqing Liu, Pradeep Kumar Ravikumar, Seungyeon Kim, Sanjiv Kumar, Cho-Jui Hsieh

NeurIPS 2021 Label Disentanglement in Partition-Based Extreme Multilabel Classification Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon

CVPR 2020 How Does Noise Help Robustness? Explanation and Exploration Under the Neural SDE Framework Xuanqing Liu, Tesi Xiao, Si Si, Qin Cao, Sanjiv Kumar, Cho-Jui Hsieh

ICML 2020 Learning to Encode Position for Transformer with Continuous Dynamical Model Xuanqing Liu, Hsiang-Fu Yu, Inderjit Dhillon, Cho-Jui Hsieh

NeurIPS 2020 Provably Robust Metric Learning Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh

NeurIPS 2019 A Unified Framework for Data Poisoning Attack to Graph-Based Semi-Supervised Learning Xuanqing Liu, Si Si, Xiaojin Zhu, Yang Li, Cho-Jui Hsieh

ICLR 2019 Adv-BNN: Improved Adversarial Defense Through Robust Bayesian Neural Network Xuanqing Liu, Yao Li, Chongruo Wu, Cho-Jui Hsieh

CVPR 2019 Rob-GAN: Generator, Discriminator, and Adversarial Attacker Xuanqing Liu, Cho-Jui Hsieh

ICML 2018 Fast Variance Reduction Method with Stochastic Batch Size Xuanqing Liu, Cho-Jui Hsieh

ECCV 2018 Towards Robust Neural Networks via Random Self-Ensemble Xuanqing Liu, Minhao Cheng, Huan Zhang, Cho-Jui Hsieh