Runpeng Yu
16 papers · 2022–2025 · 7 venues · across top CS/AI venues
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (32) 🤝 Dynamic Duo (14)
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Century Club · Bronze
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Artificial Intelligence
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Keywords
neural network
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distribution shift
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diffusion model
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image generation
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domain generalization
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out-of-distribution generalization
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graph representation learning
(1)
graph classification
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contrastive learning
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label propagation
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transfer learning
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self-supervised learning
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multi-task learning
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knowledge distillation
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efficient computing
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variational inference
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model merging
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model architecture
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gradient descent
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spectral clustering
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Papers
Auto-Controlled Image Perception in MLLMs via Visual Perception Tokens
ICCV 2025
CoT-Valve: Length-Compressible Chain-of-Thought Tuning
ACL 2025
Diffusion Model is Effectively Its Own Teacher
CVPR 2025
HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual Adapters
ICLR 2025
Neural Phylogeny: Fine-Tuning Relationship Detection among Neural Networks
ICLR 2025
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
AAAI 2025
Towards Performance Consistency in Multi-Level Model Collaboration
ICCV 2025
Attention Prompting on Image for Large Vision-Language Models
ECCV 2024
Encapsulating Knowledge in One Prompt
ECCV 2024
Neural Lineage
CVPR 2024
Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering Perspective
NeurIPS 2024
Distribution Shift Inversion for Out-of-Distribution Prediction
CVPR 2023
Generator Born from Classifier
NeurIPS 2023
Slimmable Dataset Condensation
CVPR 2023
OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization
CVPR 2022
Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms
AAAI 2022