Rui Luo
13 papers · 2018–2026 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (27)
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Grand Slam
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Keyword Collector
(51)
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Research topics
Machine Learning
(11)
Artificial Intelligence
(7)
Optimization & Theory
(7)
Learning Types
(6)
Core AI
(5)
Deep Learning
(4)
Bayesian & Probabilistic Β· Artificial Intelligence
(3)
Reinforcement Learning
(2)
Architectures
(2)
Core Methods
(2)
Methods
(2)
Computer Vision
(1)
Applications
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Domain-Specific
(1)
Keywords
conformal prediction
(7)
prediction interval
(4)
uncertainty quantification
(4)
prediction set
(3)
posterior distribution
(2)
bayesian learning
(2)
quantile regression
(2)
variational inference
(2)
multi-agent reinforcement learning
(2)
coverage guarantee
(2)
node classification
(2)
graph neural network
(2)
nash equilibrium
(2)
model uncertainty
(1)
robustness
(1)
adversarial training
(1)
hamiltonian monte carlo
(1)
image reconstruction
(1)
magnetic resonance imaging
(1)
mean-field approximation
(1)
Papers
Fast Conformal Prediction Using Conditional Interquantile Intervals
AAAI 2026
Zero-shot Implicit Neural Manifold Representation (INMR) for Ultra-high Temporal Resolution Dynamic MRI
AAAI 2026
Conformalized Interval Arithmetic with Symmetric Calibration
AAAI 2025
Conformal Thresholded Intervals for Efficient Regression
AAAI 2025
Conformity Score Averaging for Classification
ICML 2025
Enhancing Adversarial Robustness with Conformal Prediction: A Framework for Guaranteed Model Reliability
ICML 2025
Enhancing Trustworthiness of Graph Neural Networks with Rank-Based Conformal Training
AAAI 2025
Residual Reweighted Conformal Prediction for Graph Neural Networks
UAI 2025
More Than Just Attention: Improving Cross-Modal Attentions With Contrastive Constraints for Image-Text Matching
WACV 2023
Replica-Exchange Nos\'e-Hoover Dynamics for Bayesian Learning on Large Datasets
NeurIPS 2020
Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning
ICLR 2019
Mean Field Multi-Agent Reinforcement Learning
ICML 2018
Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning
NeurIPS 2018