Xiao Zhang
126 papers · 2016–2026 · 20 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 41 separate collaboration groups - the largest holds only 16% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
Which Xiao Zhang?
15 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with David Evans, Quanquan Gu, Lingxiao Wang
13 papers
· 2017–2023
· ICML, AISTATS, ICLR
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What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?
NeurIPS 2023
Understanding Intrinsic Robustness Using Label Uncertainty
ICLR 2022
Improved Estimation of Concentration Under ℓ_p-Norm Distance Metrics Using Half Spaces
ICLR 2021
Learning Adversarially Robust Representations via Worst-Case Mutual Information Maximization
ICML 2020
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models
AISTATS 2020
Cost-Sensitive Robustness against Adversarial Examples
ICLR 2019
Empirically Measuring Concentration: Fundamental Limits on Intrinsic Robustness
NeurIPS 2019
Learning One-hidden-layer ReLU Networks via Gradient Descent
AISTATS 2019
A Primal-Dual Analysis of Global Optimality in Nonconvex Low-Rank Matrix Recovery
ICML 2018
A Unified Framework for Nonconvex Low-Rank plus Sparse Matrix Recovery
AISTATS 2018
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow
ICML 2018
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation
AISTATS 2017
A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery
ICML 2017
26 papers whose co-authors appear nowhere else under this name
Enabling SLO-Aware 5G Multi-Access Edge Computing with SMEC
NSDI 2026
How Learning Dynamics Drive Adversarially Robust Generalization?
UAI 2026
OPTION: An Online Pricing Strategy for Asynchronous Federated Learning Against Free-Riding Attacks
AAAI 2026
Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model
ICCV 2025
Bone Soups: A Seek-and-Soup Model Merging Approach for Controllable Multi-Objective Generation
ACL 2025
DREAM: Disentangling Risks to Enhance Safety Alignment in Multimodal Large Language Models
NAACL 2025
DiffPAD: Denoising Diffusion-Based Adversarial Patch Decontamination
WACV 2025
Generalization Analysis for Controllable Learning
ICML 2025
IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization
ICCV 2025
NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping
ICCV 2025
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
ICML 2025
Safe in Isolation, Dangerous Together: Agent-Driven Multi-Turn Decomposition Jailbreaks on LLMs
ACL 2025
Survey on Strategic Mining in Blockchain: A Reinforcement Learning Approach
IJCAI 2025
UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement
ICCV 2025
Beaver: Practical Partial Snapshots for Distributed Cloud Services
OSDI 2024
Gaining More Insight into Neural Semantic Parsing with Challenging Benchmarks
COLING 2024
QCAW 1.0: Building a Qatari Corpus of Student Argumentative Writing
COLING 2024
Flattened Clos: Designing High-performance Deadlock-free Expander Data Center Networks Using Graph Contraction
NSDI 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
NeurIPS 2023
Robust Image Ordinal Regression with Controllable Image Generation
IJCAI 2023
ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition
AAAI 2022
MICO: Selective Search with Mutual Information Co-training
COLING 2022
Multi-Grained Knowledge Distillation for Named Entity Recognition
NAACL 2021
Thunderbolt: Throughput-Optimized, Quality-of-Service-Aware Power Capping at Scale
OSDI 2020
An Adaptive Empirical Bayesian Method for Sparse Deep Learning
NeurIPS 2019
Automatic Spatially-Aware Fashion Concept Discovery
ICCV 2017