Li Gu
12 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (7) π Academic Marathon (7) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(26)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Century Club
(11)
Conferences
CVPR (2)
ECCV (2)
ICCV (2)
ICLR (2)
ACL (1)
ICML (1)
NIPS (1)
WACV (1)
Top co-authors
Keywords
few-shot learning
(2)
catastrophic forgetting
(1)
document analysis
(1)
knowledge distillation
(1)
domain adaptation
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
attention mechanism
(1)
generative adversarial network
(1)
chain-of-thought reasoning
(1)
test-time adaptation
(1)
posterior distribution
(1)
uncertainty reduction
(1)
differentiable programming
(1)
semantic segmentation
(1)
convolutional neural network
(1)
deep convolutional neural network
(1)
parameter-efficient fine-tuning
(1)
continual learning
(1)
model compression
(1)
Papers
ETR: Entropy Trend Reward for Efficient Chain-of-Thought Reasoning
ACL 2026
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
Learning to Adapt Frozen CLIP for Few-Shot Test-Time Domain Adaptation
ICLR 2025
DocTTT: Test-Time Training for Handwritten Document Recognition using Meta-Auxiliary Learning
WACV 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
MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning
CVPR 2022
Meta-DMoE: Adapting to Domain Shift by Meta-Distillation from Mixture-of-Experts
NIPS 2022
Few-Shot Class-Incremental Learning via Entropy-Regularized Data-Free Replay
ECCV 2022
DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation
ICCV 2019
Adversarial Distillation of Bayesian Neural Network Posteriors
ICML 2018