A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation. - Lingxiao Wang 001; Xiao Zhang 016; Quanquan Gu (AISTATS, 2017)

A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery. - Lingxiao Wang 001; Xiao Zhang 016; Quanquan Gu (ICML, 2017)

Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption. - Jinghui Chen; Lingxiao Wang 001; Xiao Zhang 016; Quanquan Gu (CoRR, 2017)

A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery. - Xiao Zhang 016; Lingxiao Wang 001; Quanquan Gu (AISTATS, 2018)

Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow. - Xiao Zhang 016; Simon S. Du; Quanquan Gu (ICML, 2018)

A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery. - Xiao Zhang 016; Lingxiao Wang 001; Yaodong Yu; Quanquan Gu (ICML, 2018)

Learning One-hidden-layer ReLU Networks via Gradient Descent. - Xiao Zhang 016; Yaodong Yu; Lingxiao Wang 001; Quanquan Gu (AISTATS, 2019)

Cost-Sensitive Robustness against Adversarial Examples. - Xiao Zhang 016; David Evans 001 (ICLR (Poster), 2019)

Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. - Saeed Mahloujifar; Xiao Zhang 016; Mohammad Mahmoody; David Evans 001 (NeurIPS, 2019)

Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. - Xiao Zhang 016; Jinghui Chen; Quanquan Gu; David Evans 001 (AISTATS, 2020)

Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. - Sicheng Zhu; Xiao Zhang 016; David Evans 001 (ICML, 2020)

Improved Estimation of Concentration Under ℓp-Norm Distance Metrics Using Half Spaces. - Jack Prescott; Xiao Zhang 016; David E. Evans 001 (ICLR, 2021)

Improved Estimation of Concentration Under $ ell_p$-Norm Distance Metrics Using Half Spaces. - Jack Prescott; Xiao Zhang 016; David Evans 001 (CoRR, 2021)

Incorporating Label Uncertainty in Understanding Adversarial Robustness. - Xiao Zhang 016; David Evans 001 (CoRR, 2021)

Understanding Intrinsic Robustness Using Label Uncertainty. - Xiao Zhang 016; David E. Evans 001 (ICLR, 2022)

What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? - Fnu Suya; Xiao Zhang 016; Yuan Tian 001; David Evans 001 (NeurIPS, 2023)

When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks? - Fnu Suya; Xiao Zhang 016; Yuan Tian 001; David Evans 001 (CoRR, 2023)

Transferable Availability Poisoning Attacks. - Yiyong Liu; Michael Backes 001; Xiao Zhang 016 (CoRR, 2023)

Provably Robust Cost-Sensitive Learning via Randomized Smoothing. - Yuan Xin; Michael Backes 001; Xiao Zhang 016 (CoRR, 2023)

Invisibility Cloak: Disappearance under Human Pose Estimation via Backdoor Attacks. - Minxing Zhang; Michael Backes 001; Xiao Zhang 016 (CoRR, 2024)

Stealthy Targeted Backdoor Attacks Against Image Captioning. - Wenshu Fan; Hongwei Li 001; Wenbo Jiang 001; Meng Hao 001; Shui Yu 001; Xiao Zhang 016 (IEEE Trans. Inf. Forensics Secur., 2024)

Do Parameters Reveal More than Loss for Membership Inference? - Anshuman Suri; Xiao Zhang 016; David Evans 001 (Trans. Mach. Learn. Res., 2024)

Generating Less Certain Adversarial Examples Improves Robust Generalization. - Minxing Zhang; Michael Backes 001; Xiao Zhang 016 (Trans. Mach. Learn. Res., 2024)

DivTrackee versus DynTracker: Promoting Diversity in Anti-Facial Recognition against Dynamic FR Strategy. - Wenshu Fan; Minxing Zhang; Hongwei Li 001; Wenbo Jiang 001; Hanxiao Chen 001; Xiangyu Yue 001; Michael Backes 001; Xiao Zhang 016 (CoRR, 2025)

MMBench-GUI: Hierarchical Multi-Platform Evaluation Framework for GUI Agents. - Xuehui Wang; Zhenyu Wu; JingJing Xie; Zichen Ding 002; Bowen Yang; Zehao Li; Zhaoyang Liu 001; Qingyun Li; Xuan Dong; Zhe Chen 017; Weiyun Wang; Xiangyu Zhao; et al. (CoRR, 2025)