Kun Yue
11 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (29) 💎 Century Club · Bronze ⚡ Prolific Year · Productive
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Artificial Intelligence
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Deep Learning
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Machine Learning
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Bayesian & Probabilistic · Artificial Intelligence
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Core AI
(4)
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(3)
Data Science & Analytics
(2)
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Methods
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Mathematics & Optimization
(1)
Natural Language Processing
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Bayesian & Probabilistic · Machine Learning
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Keywords
graph neural network
(4)
mutual information
(4)
large language model
(3)
bayesian network
(2)
graph contrastive learning
(2)
probabilistic inference
(1)
information bottleneck
(1)
few-shot learning
(1)
low-rank approximation
(1)
loss landscape
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message passing
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feature extraction
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time series forecasting
(1)
conditional independence
(1)
data privacy
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machine unlearning
(1)
branch-and-bound algorithm
(1)
graph structure learning
(1)
multivariate time series
(1)
conditional mutual information
(1)
Papers
Dissecting Failure Dynamics in Large Language Model Reasoning
ACL 2026
Dual-Kernel Graph Community Contrastive Learning
AAAI 2026
GDFA: Geometry-Driven Federated Unlearning with Directional Task Vector Alignment
CVPR 2026
LENS: Latent Precision Inference in Multi-LLM Routing
UAI 2026
TaxPraBen: A Scalable Benchmark for Structured Evaluation of LLMs in Chinese Real-World Tax Practice
ACL 2026
Transformer Based Bayesian Network Structure Learning from an Information Theory Perspective
UAI 2026
Conditional Information Bottleneck-Based Multivariate Time Series Forecasting
IJCAI 2025
Improving Graph Contrastive Learning with Community Structure
UAI 2025
Probabilistic Semantics Guided Discovery of Approximate Functional Dependencies
UAI 2025
Structural Entropy Based Graph Structure Learning for Node Classification
AAAI 2024
Mutual information based Bayesian graph neural network for few-shot learning
UAI 2022