Shell Xu Hu
13 papers · 2019–2025 · 8 conferences · across top CS/AI conferences
Achievements
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(10)
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Conferences
CVPR (3)
EMNLP (2)
ICLR (2)
NIPS (2)
ICCV (1)
ICML (1)
INTERSPEECH (1)
WACV (1)
Top co-authors
Keywords
transfer learning
(3)
knowledge distillation
(3)
few-shot learning
(2)
edge computing
(2)
model merging
(2)
contrastive learning
(1)
image classification
(1)
one-shot learning
(1)
variational inference
(1)
spectral clustering
(1)
model quantization
(1)
domain adaptation
(1)
transductive learning
(1)
image retrieval
(1)
knowledge transfer
(1)
object detection
(1)
multi-task learning
(1)
transformer architecture
(1)
constrained optimization
(1)
federated learning
(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
NIPS 2024
Feed-Forward Latent Domain Adaptation
WACV 2024
Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP
EMNLP 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
NIPS 2021
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
ICLR 2020
Variational Information Distillation for Knowledge Transfer
CVPR 2019