Xiyang Liu
12 papers · 2019–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (26) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π
Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(9)
Application Areas
(7)
Optimization & Theory
(6)
Mathematics & Optimization
(5)
Core Methods
(5)
Artificial Intelligence
(4)
Security & Privacy
(4)
Differential Privacy
(4)
Learning Types
(3)
Optimization
(3)
Core AI
(2)
Learning Paradigms
(2)
Mathematics
(2)
Computer Vision
(1)
Deep Learning
(1)
Keywords
differential privacy
(6)
sample complexity
(3)
mean estimation
(2)
optimal transport
(2)
prototype refinement
(2)
convex optimization
(1)
few-shot learning
(1)
dimensionality reduction
(1)
prototype learning
(1)
adversarial robustness
(1)
relation extraction
(1)
data annotation
(1)
robust statistics
(1)
parameter estimation
(1)
pseudo labeling
(1)
principal component analysis
(1)
deep learning
(1)
map estimation
(1)
vector quantization
(1)
stochastic gradient descent
(1)
Papers
FastRef: Fast Prototype Refinement for Few-shot Industrial Anomaly Detection
CVPR 2026
Improving Data Annotation for Low-Resource Relation Extraction with Logical Rule-Augmented Collaborative Language Models
NAACL 2025
Insufficient Statistics Perturbation: Stable Estimators for Private Least Squares Extended Abstract
COLT 2024
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection
NeurIPS 2023
Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency
NeurIPS 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional Transport
ICCV 2023
Differential privacy and robust statistics in high dimensions
COLT 2022
DP-PCA: Statistically Optimal and Differentially Private PCA
NeurIPS 2022
KO codes: inventing nonlinear encoding and decoding for reliable wireless communication via deep-learning
ICML 2021
Robust and differentially private mean estimation
NeurIPS 2021
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
ECCV 2020
Minimax Optimal Estimation of Approximate Differential Privacy on Neighboring Databases
NeurIPS 2019