Xi He
5 papers · 2020–2026 · 5 venues · across top CS/AI venues
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Research topics
Machine Learning
(4)
Deep Learning
(3)
Learning Types
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Data Science & Analytics
(1)
Natural Language Processing
(1)
Application Areas
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Methods
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Keywords
differential privacy
(1)
stochastic optimization
(1)
vision transformer
(1)
hyperparameter optimization
(1)
distributed learning
(1)
privacy preservation
(1)
medical image segmentation
(1)
empirical risk minimization
(1)
communication efficiency
(1)
diffusion model
(1)
convolutional neural network
(1)
adam optimizer
(1)
foreign key
(1)
denoising diffusion
(1)
multi-relational data
(1)
cluster-guided generation
(1)
tabular data synthesis
(1)
hybrid architecture
(1)
long-range dependency
(1)
personally identifiable information
(1)
Papers
CAPID: Context-Aware PII Detection for Question-Answering Systems
EACL 2026
ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models
NeurIPS 2024
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
IJCAI 2023
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
AAAI 2022
Efficient Distributed Hessian Free Algorithm for Large-scale Empirical Risk Minimization via Accumulating Sample Strategy
AISTATS 2020