Junyu Xuan
10 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Academic Marathon (5) π£ Hot Topic Early Bird π Conference Polyglot (7) π Renaissance Researcher (6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
π§
Keyword Pioneer
π
Century Club
(10)
π₯
Unstoppable
(5)
Conferences
AAAI (2)
IJCAI (2)
UAI (2)
AISTATS (1)
EMNLP (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
graph neural network
(2)
representation learning
(2)
graph convolution
(2)
change detection
(1)
graph classification
(1)
policy learning
(1)
message passing
(1)
skill discovery
(1)
determinantal point process
(1)
gaussian mixture model
(1)
variational autoencoder
(1)
unsupervised reinforcement learning
(1)
non-stationary environment
(1)
node representation
(1)
entity alignment
(1)
graph convolutional network
(1)
graph pooling
(1)
negative sampling
(1)
abstractive summarization
(1)
pooling operation
(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
Group-Aware Coordination Graph for Multi-Agent Reinforcement Learning
IJCAI 2024
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
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
NIPS 2020