Xu Luo
11 papers · 2021–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🌍 Conference Polyglot · Silver 🗺️ Taxonomy Completionist (25) 👥 Mega-Team · Squad 💎 Century Club · Bronze
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Unstoppable · Bronze
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Artificial Intelligence
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Machine Learning
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Deep Learning
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Core Methods
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Learning Paradigms
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Core AI · Artificial Intelligence
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Learning Types · Machine Learning
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Learning Types · Deep Learning
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Computer Vision
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Reinforcement Learning
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Generation
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Keywords
few-shot learning
(5)
shortcut learning
(2)
representation learning
(2)
feature transformation
(2)
image classification
(2)
text-to-image generation
(2)
task adaptation
(2)
large language model
(2)
diffusion transformer
(2)
transfer learning
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channel attention
(1)
multimodal learning
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knowledge distillation
(1)
benchmark evaluation
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visual question answering
(1)
image denoising
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foreground extraction
(1)
model fusion
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flow matching
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visual representation
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Papers
Lumina-T2X: Scalable Flow-based Large Diffusion Transformer for Flexible Resolution Generation
ICLR 2025
Shortcut Learning in Generalist Robot Policies: The Role of Dataset Diversity and Fragmentation
CoRL 2025
Unlocking Smarter Device Control: Foresighted Planning with a World Model-Driven Code Execution Approach
EMNLP 2025
CoIN: A Benchmark of Continual Instruction Tuning for Multimodel Large Language Models
NeurIPS 2024
Lumina-Next : Making Lumina-T2X Stronger and Faster with Next-DiT
NeurIPS 2024
Unleashing the Potentials of Likelihood Composition for Multi-modal Language Models
EMNLP 2024
A Closer Look at Few-shot Classification Again
ICML 2023
DETA: Denoised Task Adaptation for Few-Shot Learning
ICCV 2023
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid
NeurIPS 2022
Channel Importance Matters in Few-Shot Image Classification
ICML 2022
Rectifying the Shortcut Learning of Background for Few-Shot Learning
NeurIPS 2021