Qingquan Song
6 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (21) π Conference Polyglot Β· Silver
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Mega-Team Β· Squad
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Conference Pioneer
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Trend Setter
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Application Areas
(2)
Core AI
(2)
Reinforcement Learning
(1)
Architectures
(1)
Learning Paradigms
(1)
Learning Types Β· Machine Learning
(1)
Methods
(1)
Optimization & Theory Β· Machine Learning
(1)
Optimization & Theory Β· Deep Learning
(1)
Techniques
(1)
Keywords
model compression
(1)
model quantization
(1)
model selection
(1)
graph classification
(1)
direct preference optimization
(1)
knowledge distillation
(1)
feature embedding
(1)
neural architecture search
(1)
deep learning
(1)
neural network interpretation
(1)
efficient computing
(1)
random walk
(1)
multi-view learning
(1)
hyperparameter tuning
(1)
persistent homology
(1)
interaction detection
(1)
hierarchical structure
(1)
feature interaction
(1)
recommendation system
(1)
graph convolution
(1)
Papers
AlphaPO: Reward Shape Matters for LLM Alignment
ICML 2025
Scaling Down, Serving Fast: Compressing and Deploying Efficient LLMs for Recommendation Systems
EMNLP 2025
AutoKeras: An AutoML Library for Deep Learning
JMLR 2023
Detecting Interactions from Neural Networks via Topological Analysis
NeurIPS 2020
Multi-Channel Graph Neural Networks
IJCAI 2020
Large-Scale Heterogeneous Feature Embedding
AAAI 2019