Runxue Bao
10 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🌍 Conference Polyglot · Silver ⚡ Prolific Year · Productive
💎
Century Club · Bronze
🚀
Conference Pioneer
Top co-authors
Research topics
Machine Learning
(9)
Artificial Intelligence
(6)
Application Areas
(5)
Core AI
(5)
Optimization & Theory
(5)
Deep Learning
(4)
Learning Types · Deep Learning
(2)
Models
(2)
Mathematics & Optimization
(1)
Natural Language Processing
(1)
Applications
(1)
Core Methods
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Optimization
(1)
Keywords
large language model
(4)
data memorization
(2)
model compression
(2)
stochastic optimization
(1)
domain adaptation
(1)
sparse learning
(1)
reinforcement learning
(1)
gradient-based optimization
(1)
curriculum learning
(1)
uncertainty quantification
(1)
knowledge extraction
(1)
knowledge distillation
(1)
in-context learning
(1)
question answering
(1)
distributed learning
(1)
composite optimization
(1)
network pruning
(1)
sparse regression
(1)
gradient descent
(1)
feature selection
(1)
Papers
Controllable Memorization in LLMs via Weight Pruning
EMNLP 2025
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs
NAACL 2025
Auto-Train-Once: Controller Network Guided Automatic Network Pruning from Scratch
CVPR 2024
InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration
EMNLP 2024
Pruning as a Domain-specific LLM Extractor
NAACL 2024
Self-guided Knowledge-injected Graph Neural Network for Alzheimer’s Diseases
MICCAI 2024
Unlocking Memorization in Large Language Models with Dynamic Soft Prompting
EMNLP 2024
Demystify the Gravity Well in the Optimization Landscape (Student Abstract)
AAAI 2023
Doubly Sparse Asynchronous Learning for Stochastic Composite Optimization
IJCAI 2022
Fast OSCAR and OWL Regression via Safe Screening Rules
ICML 2020