Yuhua Li
22 papers · 2022–2026 · 7 conferences · across top CS/AI conferences
Achievements
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Conferences
ICML (8)
NIPS (5)
AAAI (2)
ACL (2)
CVPR (2)
IJCAI (2)
ICCV (1)
Top co-authors
Keywords
few-shot learning
(7)
domain adaptation
(4)
transfer learning
(3)
cross-domain few-shot learning
(3)
few-shot class-incremental learning
(3)
vision transformer
(3)
class-incremental learning
(2)
loss landscape
(2)
representation learning
(2)
cross-domain learning
(2)
visual reasoning
(1)
margin-based learning
(1)
catastrophic forgetting
(1)
instruction following
(1)
chain-of-thought reasoning
(1)
community detection
(1)
graph representation
(1)
sharpness-aware minimization
(1)
prompt learning
(1)
attention mechanism
(1)
Papers
UMPIRE: Unveiling LLM-generated Posts via Redundant Expressions
ACL 2026
Decoupling Template Bias in CLIP: Harnessing Empty Prompts for Enhanced Few-Shot Learning
AAAI 2026
Adapter Naturally Serves as Decoupler for Cross-Domain Few-Shot Semantic Segmentation
ICML 2025
Self-Disentanglement and Re-Composition for Cross-Domain Few-Shot Segmentation
ICML 2025
Random Registers for Cross-Domain Few-Shot Learning
ICML 2025
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
ICML 2025
Beyond Zero Initialization: Investigating the Impact of Non-Zero Initialization on LoRA Fine-Tuning Dynamics
ICML 2025
Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning
AAAI 2025
The Devil is in Low-Level Features for Cross-Domain Few-Shot Segmentation
CVPR 2025
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
ICCV 2025
Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models
ACL 2025
The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
ICML 2025
Compositional Few-Shot Class-Incremental Learning
ICML 2024
A Closer Look at the CLS Token for Cross-Domain Few-Shot Learning
NIPS 2024
Lightweight Frequency Masker for Cross-Domain Few-Shot Semantic Segmentation
NIPS 2024
Generate Universal Adversarial Perturbations for Few-Shot Learning
NIPS 2024
Attention Temperature Matters in ViT-Based Cross-Domain Few-Shot Learning
NIPS 2024
Flatten Long-Range Loss Landscapes for Cross-Domain Few-Shot Learning
CVPR 2024
FedBAT: Communication-Efficient Federated Learning via Learnable Binarization
ICML 2024
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
IJCAI 2024
CSGCL: Community-Strength-Enhanced Graph Contrastive Learning
IJCAI 2023
Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
NIPS 2022