yunlong yu
18 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
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Keywords
diffusion model
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semantic analysis
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large language model
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semantic embedding
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semantic segmentation
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zero-shot learning
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semantic alignment
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representation learning
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attention mechanism
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self-supervised learning
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knowledge distillation
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optimal transport
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action recognition
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image editing
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Papers
FUSE: Fine-Grained and Semantic-Aware Learning for Unified Image Understanding and Generation
AAAI 2026
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting
ICCV 2025
LLM4GEN: Leveraging Semantic Representation of LLMs for Text-to-Image Generation
AAAI 2025
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
AAAI 2025
Envisioning Class Entity Reasoning by Large Language Models for Few-shot Learning
AAAI 2025
Hierarchical Divide-and-Conquer Grouping for Classification Adaptation of Pre-Trained Models
ICCV 2025
Improving Zero-Shot Generalization for CLIP with Variational Adapter
ECCV 2024
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-based Continual Learning
ECCV 2024
Pixel Matching Network for Cross-Domain Few-Shot Segmentation
WACV 2024
DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency
IJCAI 2023
GaitGCI: Generative Counterfactual Intervention for Gait Recognition
CVPR 2023
Multi-Proxy Learning from an Entropy Optimization Perspective
IJCAI 2022
Masked Feature Generation Network for Few-Shot Learning
IJCAI 2022
CODER: Coupled Diversity-Sensitive Momentum Contrastive Learning for Image-Text Retrieval
ECCV 2022
MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition
ECCV 2022
Adaptive Cross-Domain Learning for Generalizable Person Re-identification
ECCV 2022
Episode-Based Prototype Generating Network for Zero-Shot Learning
CVPR 2020
Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning
NIPS 2018