Liu, Xuanqing

8 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

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

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