Kui Yu
13 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (23) π Conference Polyglot (6) π Academic Marathon (6) π§ Keyword Pioneer
π
Conference Polyglot
(6)
π
Academic Marathon
(6)
π
Conference Pioneer
π
Century Club
(13)
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(53)
Conferences
AAAI (7)
IJCAI (2)
ACL (1)
EMNLP (1)
ICLR (1)
ICML (1)
Top co-authors
Keywords
feature selection
(3)
federated learning
(3)
causal structure learning
(2)
causal inference
(2)
bayesian network
(2)
causal discovery
(2)
local causal discovery
(2)
false discovery rate
(1)
attention mechanism
(1)
few-shot learning
(1)
multi-label learning
(1)
semi-supervised learning
(1)
speech synthesis
(1)
text generation
(1)
scalable learning
(1)
privacy preservation
(1)
multi-label classification
(1)
causal sufficiency
(1)
bayesian approach
(1)
variable selection
(1)
Papers
Hybrid Local Causal Discovery
IJCAI 2025
Federated Causally Invariant Feature Learning
AAAI 2025
Local Causal Discovery Without Causal Sufficiency
AAAI 2025
AI4Reading: Chinese Audiobook Interpretation System Based on Multi-Agent Collaboration
ACL 2025
Federated Causal Structure Learning with Non-identical Variable Sets
ICML 2025
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
ICLR 2024
Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection
IJCAI 2024
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
AAAI 2024
Learning Robust Rationales for Model Explainability: A Guidance-Based Approach
AAAI 2024
Efficient Causal Structure Learning from Multiple Interventional Datasets with Unknown Targets
AAAI 2022
Learning Inter-Entity-Interaction for Few-Shot Knowledge Graph Completion
EMNLP 2022
Multi-Label Causal Feature Selection
AAAI 2020
Joint Semi-Supervised Feature Selection and Classification through Bayesian Approach
AAAI 2019