Zixuan Hu
14 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 🌍 Conference Polyglot · Silver 🗃️ Keyword Collector (62) ⚡ Prolific Year · Productive
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Research topics
Machine Learning
(12)
Artificial Intelligence
(11)
Application Areas
(9)
Deep Learning
(8)
Learning Paradigms · Artificial Intelligence
(8)
Core AI
(5)
Learning Types · Deep Learning
(5)
Optimization & Theory
(4)
Architectures
(2)
Learning Paradigms · Machine Learning
(2)
Learning Types · Machine Learning
(2)
Models
(2)
Computer Vision
(1)
Analysis
(1)
Core Methods
(1)
Keywords
transfer learning
(5)
knowledge distillation
(4)
model compression
(3)
few-shot learning
(2)
pre-trained model
(2)
model selection
(2)
data-free learning
(2)
data-free meta-learning
(2)
uncertainty quantification
(1)
embedding space
(1)
multi-task learning
(1)
causal discovery
(1)
representation learning
(1)
knowledge extraction
(1)
convex optimization
(1)
domain adaptation
(1)
vision transformer
(1)
image reconstruction
(1)
test-time adaptation
(1)
self-supervised learning
(1)
Papers
Adaptive Dual Uncertainty Optimization: Boosting Monocular 3D Object Detection under Test-Time Shifts
ICCV 2025
Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation
ICML 2025
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAs
CVPR 2025
Modeling Multi-Task Model Merging as Adaptive Projective Gradient Descent
ICML 2025
Open-Vocabulary Customization from CLIP via Data-Free Knowledge Distillation
ICLR 2025
Which Tasks Should Be Compressed Together? A Causal Discovery Approach for Efficient Multi-Task Representation Compression
ICLR 2025
FREE: Faster and Better Data-Free Meta-Learning
CVPR 2024
LEAD: Exploring Logit Space Evolution for Model Selection
CVPR 2024
Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications
ICML 2024
Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models
ICML 2024
Architecture, Dataset and Model-Scale Agnostic Data-Free Meta-Learning
CVPR 2023
Exploring Model Transferability through the Lens of Potential Energy
ICCV 2023
Learning to Learn from APIs: Black-Box Data-Free Meta-Learning
ICML 2023
Mc-BEiT: Multi-Choice Discretization for Image BERT Pre-training
ECCV 2022