Junyu Xuan
10 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24)
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Topic Evolution
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Unstoppable · Bronze
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Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(7)
Artificial Intelligence
(6)
Deep Learning
(4)
Bayesian & Probabilistic · Artificial Intelligence
(4)
Core AI
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Architectures
(2)
Core Methods
(2)
Learning Types
(2)
Methods
(2)
Computer Science
(1)
Natural Language Processing
(1)
Applications
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Keywords
uncertainty quantification
(3)
wasserstein distance
(3)
bayesian neural network
(3)
variational inference
(3)
graph neural network
(2)
markov chain monte carlo
(2)
graph convolution
(2)
representation learning
(2)
policy optimization
(1)
reinforcement learning
(1)
stochastic gradient
(1)
policy learning
(1)
function space
(1)
graph classification
(1)
gaussian mixture model
(1)
change detection
(1)
determinantal point process
(1)
stochastic process
(1)
skill discovery
(1)
message passing
(1)
Papers
Discovering Mixture Skills for Unsupervised Reinforcement Learning
AAAI 2026
Bridging the Gap between Variational Inference and Stochastic Gradient MCMC in Function Space
ICLR 2025
Functional Stochastic Gradient MCMC for Bayesian Neural Networks
AISTATS 2025
A Behavior-Aware Approach for Deep Reinforcement Learning in Non-stationary Environments without Known Change Points
IJCAI 2024
Functional Wasserstein Bridge Inference for Bayesian Deep Learning
UAI 2024
Functional Wasserstein Variational Policy Optimization
UAI 2024
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
IJCAI 2024
Mitigating Intrinsic Named Entity-Related Hallucinations of Abstractive Text Summarization
EMNLP 2023
Learning from the Dark: Boosting Graph Convolutional Neural Networks with Diverse Negative Samples
AAAI 2022
Path Integral Based Convolution and Pooling for Graph Neural Networks
NeurIPS 2020