Sihong Xie
14 papers · 2016–2026 · 7 venues · across top CS/AI venues
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Achievements
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π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver ποΈ Keyword Collector (68)
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(9)
Core AI
(7)
Learning Types Β· Machine Learning
(7)
Optimization & Theory
(5)
Deep Learning
(4)
Application Areas
(4)
Natural Language Processing
(3)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Reinforcement Learning
(2)
Applications
(2)
Methods
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Keywords
graph neural network
(3)
retrieval-augmented generation
(3)
budget allocation
(2)
node classification
(2)
multi-armed bandit
(2)
faithfulness hallucination
(2)
adversarial training
(2)
certified robustness
(1)
semi-supervised learning
(1)
representation learning
(1)
bayesian inference
(1)
label accuracy
(1)
graph classification
(1)
uncertainty quantification
(1)
maximum entropy
(1)
manifold learning
(1)
metric learning
(1)
knowledge graph question answering
(1)
question answering
(1)
conformal prediction
(1)
Papers
REFO: Reinforced Evolutionary Faithfulness Optimization for Large Language Models
AAAI 2026
Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs
AAAI 2025
Budget Allocation Exploiting Label Correlation between Instances
UAI 2025
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models
ACL 2025
Explanations of GNN on Evolving Graphs via Axiomatic Layer edges
ICLR 2025
MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity
COLING 2025
Wasserstein-Regularized Conformal Prediction under General Distribution Shift
ICLR 2025
Enhancing Robustness of Graph Neural Networks on Social Media with Explainable Inverse Reinforcement Learning
NeurIPS 2024
Linear Uncertainty Quantification of Graphical Model Inference
NeurIPS 2024
Training for Stable Explanation for Free
NeurIPS 2024
A Differential Geometric View and Explainability of GNN on Evolving Graphs
ICLR 2023
Optimal Budget Allocation for Crowdsourcing Labels for Graphs
UAI 2023
SEVEN: Deep Semi-supervised Verification Networks
IJCAI 2017
Item Recommendation for Emerging Online Businesses
IJCAI 2016