Li Gu
13 papers · 2018–2026 · 8 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(9)
Machine Learning
(8)
Deep Learning
(7)
Learning Types Β· Deep Learning
(5)
Core AI
(4)
Learning Paradigms Β· Machine Learning
(4)
Learning Paradigms Β· Artificial Intelligence
(4)
Learning Types Β· Machine Learning
(4)
Application Areas
(3)
Computer Vision
(2)
Analysis
(2)
Core Methods
(2)
Natural Language Processing
(1)
Applications
(1)
Architectures
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Keywords
domain adaptation
(3)
few-shot learning
(3)
test-time adaptation
(2)
continual learning
(1)
knowledge distillation
(1)
domain generalization
(1)
semantic segmentation
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
attention mechanism
(1)
class-incremental learning
(1)
chain-of-thought reasoning
(1)
code generation
(1)
catastrophic forgetting
(1)
contrastive learning
(1)
posterior distribution
(1)
uncertainty reduction
(1)
distribution shift
(1)
differentiable programming
(1)
model compression
(1)
Papers
ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
ACL 2026
Widget2Code: From Visual Widgets to UI Code via Multimodal LLMs
CVPR 2026
DocTTT: Test-Time Training for Handwritten Document Recognition using Meta-Auxiliary Learning
WACV 2025
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
ICLR 2025
MetaWriter: Personalized Handwritten Text Recognition Using Meta-Learned Prompt Tuning
CVPR 2025
Plug-in Feedback Self-adaptive Attention in CLIP for Training-free Open-Vocabulary Segmentation
ICCV 2025
Adapting to Distribution Shift by Visual Domain Prompt Generation
ICLR 2024
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
ECCV 2024
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
ECCV 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
NeurIPS 2022
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
CVPR 2022
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation
ICCV 2019
Adversarial Distillation of Bayesian Neural Network Posteriors
ICML 2018