Shell Xu Hu
13 papers · 2019–2025 · 8 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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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Application Areas
(7)
Learning Types · Machine Learning
(7)
Deep Learning
(6)
Core AI
(6)
Learning Paradigms
(5)
Architectures
(3)
Computer Vision
(2)
Analysis
(2)
Core Methods
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory · Deep Learning
(2)
Optimization & Theory · Machine Learning
(2)
Mathematics & Optimization
(1)
Keywords
transfer learning
(3)
knowledge distillation
(3)
variational inference
(2)
model merging
(2)
transductive learning
(2)
edge computing
(2)
few-shot classification
(2)
few-shot learning
(2)
federated learning
(2)
contrastive learning
(1)
domain adaptation
(1)
image classification
(1)
structured prediction
(1)
one-shot learning
(1)
spectral clustering
(1)
model quantization
(1)
knowledge transfer
(1)
attention mechanism
(1)
object detection
(1)
image retrieval
(1)
Papers
FW-Merging: Scaling Model Merging with Frank-Wolfe Optimization
ICCV 2025
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
NeurIPS 2024
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
EMNLP 2024
Feed-Forward Latent Domain Adaptation
WACV 2024
MobileQuant: Mobile-friendly Quantization for On-device Language Models
EMNLP 2024
Recurrent Early Exits for Federated Learning with Heterogeneous Clients
ICML 2024
Learning where and when to reason in neuro-symbolic inference
ICLR 2023
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
CVPR 2022
Self-Supervised Transformers for Unsupervised Object Discovery Using Normalized Cut
CVPR 2022
AvaTr: One-Shot Speaker Extraction with Transformers
Interspeech 2021
Re-ranking for image retrieval and transductive few-shot classification
NeurIPS 2021
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
ICLR 2020
Variational Information Distillation for Knowledge Transfer
CVPR 2019