Xinyi Shang
8 papers · 2022–2026 · 6 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
Jump to papers ↓
🌍
Conference Polyglot · Silver
🗺️
Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Machine Learning
(8)
Artificial Intelligence
(6)
Learning Paradigms · Artificial Intelligence
(5)
Deep Learning
(4)
Learning Types · Deep Learning
(4)
Learning Types · Machine Learning
(4)
Core Methods
(2)
Learning Paradigms · Machine Learning
(2)
Optimization & Theory
(2)
Application Areas
(1)
Core AI
(1)
Models
(1)
Keywords
federated learning
(4)
data heterogeneity
(3)
long-tailed learning
(2)
knowledge distillation
(1)
model generalization
(1)
neural collapse
(1)
diffusion model
(1)
foundation model
(1)
heterogeneous data
(1)
dataset distillation
(1)
global model
(1)
soft label
(1)
generative data augmentation
(1)
long-tailed distribution
(1)
cosine similarity
(1)
decision boundary
(1)
residual learning
(1)
feature representation
(1)
weighted aggregation
(1)
semi-supervised learning
(1)
Papers
Decision Boundary-aware Generation for Long-tailed Learning
CVPR 2026
Fine-Tuning Impairs the Balancedness of Foundation Models in Long-tailed Personalized Federated Learning
CVPR 2026
LLMSurgeon: Diagnosing Data Mixture of Large Language Models
ACL 2026
GIFT: Unlocking Full Potential of Labels in Distilled Dataset at Near-zero Cost
ICLR 2025
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
CVPR 2025
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier
ICCV 2023
Revisiting Weighted Aggregation in Federated Learning with Neural Networks
ICML 2023
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features
IJCAI 2022