Yanru Wu
7 papers · 2024–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(26)
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(5)
Machine Learning
(4)
Deep Learning
(3)
Natural Language Processing
(3)
Learning Types · Machine Learning
(3)
Learning Paradigms
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Resources & Methods
(2)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Core Methods
(1)
Generation
(1)
Keywords
large language model
(3)
federated learning
(1)
parameter-efficient fine-tuning
(1)
few-shot learning
(1)
transfer learning
(1)
ensemble learning
(1)
question answering
(1)
text generation
(1)
text-to-image generation
(1)
scene graph
(1)
token efficiency
(1)
hierarchical decomposition
(1)
diffusion model
(1)
personalized model
(1)
catastrophic forgetting
(1)
heterogeneous data
(1)
vision-language model
(1)
supervised fine-tuning
(1)
parameter aggregation
(1)
model compression
(1)
Papers
Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
AAAI 2026
Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment
ICLR 2025
pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
AAAI 2025
The Impact of Large Language Models in Academia: from Writing to Speaking
ACL 2025
TreeReview: A Dynamic Tree of Questions Framework for Deep and Efficient LLM-based Scientific Peer Review
EMNLP 2025
Balancing Speciality and Versatility: a Coarse to Fine Framework for Supervised Fine-tuning Large Language Model
ACL 2024
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
AAAI 2024