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Xiao Zhang 0016
Person information
- affiliation: University of Virginia, Department of Computer Science, Charlottesville, VA, USA
Other persons with the same name
- Xiao Zhang — disambiguation page
- Xiao Zhang 0001
— Renmin University of China, School of Information, Beijing, China (and 1 more)
- Xiao Zhang 0002
- Xiao Zhang 0003 — University of Denver, Department of Electrical and Computer Engineering, CO, USA
- Xiao Zhang 0004
- Xiao Zhang 0005
- Xiao Zhang 0006
- Xiao Zhang 0007
- Xiao Zhang 0008
- Xiao Zhang 0009
- Xiao Zhang 0010
- Xiao Zhang 0011
- Xiao Zhang 0012
- Xiao Zhang 0013
- Xiao Zhang 0014
- Xiao Zhang 0015
- Xiao Zhang 0017 — Purdue University, Department of Computer Science, West Lafayette, VA, USA
- Xiao Zhang 0018 — Onething Technologies Co., Ltd, Shenzhen, China
- Xiao Zhang 0019 — Pennsylvania State University, GeoVISTA Center, PA, USA
- Xiao Zhang 0020 — Wuhan University of Technology, School of Mechanical and Electronic Engineering, Hubei Digital Manufacturing Key Laboratory, China
- Xiao Zhang 0021
- Xiao Zhang 0022
- Xiao Zhang 0023
- Xiao Zhang 0024
- Xiao Zhang 0025
- Xiao Zhang 0026
- Xiao Zhang 0027
- Xiao Zhang 0028
- Xiao Zhang 0030
- Xiao Zhang 0031
- Xiao Zhang 0032
- Xiao Zhang 0033
- Xiao Zhang 0034
- Xiao Zhang 0035
- Xiao Zhang 0036 — Beijing Institute of Technology, School of Computer Science, China
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2020 – today
- 2024
- [i9]Anshuman Suri, Xiao Zhang, David Evans:
Do Parameters Reveal More than Loss for Membership Inference? CoRR abs/2406.11544 (2024) - 2023
- [c13]Fnu Suya, Xiao Zhang, Yuan Tian, David Evans:
What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners? NeurIPS 2023 - [i8]Fnu Suya, Xiao Zhang, Yuan Tian, David Evans:
When Can Linear Learners be Robust to Indiscriminate Poisoning Attacks? CoRR abs/2307.01073 (2023) - 2022
- [c12]Xiao Zhang, David E. Evans:
Understanding Intrinsic Robustness Using Label Uncertainty. ICLR 2022 - 2021
- [c11]Jack Prescott, Xiao Zhang, David E. Evans:
Improved Estimation of Concentration Under ℓp-Norm Distance Metrics Using Half Spaces. ICLR 2021 - 2020
- [c10]Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans:
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. AISTATS 2020: 3883-3893 - [c9]Sicheng Zhu, Xiao Zhang, David Evans:
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. ICML 2020: 11609-11618 - [i7]Sicheng Zhu, Xiao Zhang, David Evans:
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization. CoRR abs/2002.11798 (2020) - [i6]Xiao Zhang, Jinghui Chen, Quanquan Gu, David Evans:
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models. CoRR abs/2003.00378 (2020)
2010 – 2019
- 2019
- [c8]Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu:
Learning One-hidden-layer ReLU Networks via Gradient Descent. AISTATS 2019: 1524-1534 - [c7]Xiao Zhang, David Evans:
Cost-Sensitive Robustness against Adversarial Examples. ICLR (Poster) 2019 - [c6]Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody, David Evans:
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. NeurIPS 2019: 5210-5221 - [i5]Saeed Mahloujifar, Xiao Zhang, Mohammad Mahmoody
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness. CoRR abs/1905.12202 (2019) - 2018
- [c5]Xiao Zhang, Lingxiao Wang, Quanquan Gu:
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery. AISTATS 2018: 1097-1107 - [c4]Xiao Zhang, Simon S. Du, Quanquan Gu:
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow. ICML 2018: 5751-5760 - [c3]Xiao Zhang, Lingxiao Wang, Yaodong Yu, Quanquan Gu:
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery. ICML 2018: 5857-5866 - [i4]Xiao Zhang, Simon S. Du, Quanquan Gu:
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow. CoRR abs/1803.01233 (2018) - [i3]Xiao Zhang, Yaodong Yu, Lingxiao Wang, Quanquan Gu:
Learning One-hidden-layer ReLU Networks via Gradient Descent. CoRR abs/1806.07808 (2018) - [i2]Xiao Zhang, David Evans:
Cost-Sensitive Robustness against Adversarial Examples. CoRR abs/1810.09225 (2018) - 2017
- [c2]Lingxiao Wang, Xiao Zhang, Quanquan Gu:
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation. AISTATS 2017: 981-990 - [c1]Lingxiao Wang, Xiao Zhang, Quanquan Gu:
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery. ICML 2017: 3712-3721 - [i1]Jinghui Chen, Lingxiao Wang, Xiao Zhang, Quanquan Gu:
Robust Wirtinger Flow for Phase Retrieval with Arbitrary Corruption. CoRR abs/1704.06256 (2017)
Coauthor Index
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last updated on 2024-11-25 22:43 CET by the dblp team
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