Jiuyong Li
14 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (29) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Deep Specialist
(11)
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(14)
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Prolific Year Β· Productive
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Artificial Intelligence
(12)
Core AI
(12)
Machine Learning
(11)
Deep Learning
(7)
Core Methods
(5)
Learning Types
(5)
Optimization & Theory
(5)
Data Science & Analytics
(4)
Models
(4)
Application Areas
(3)
Applications
(3)
Knowledge & Reasoning
(2)
Architectures
(2)
Bayesian & Probabilistic
(2)
Reasoning
(2)
Keywords
causal inference
(10)
instrumental variable
(5)
latent confounder
(4)
representation learning
(3)
variational autoencoder
(3)
recommender system
(2)
unobserved confounding
(2)
disentangled representation
(2)
causal mediation analysis
(2)
causal effect estimation
(2)
attention mechanism
(1)
nonlinear regression
(1)
kullback-leibler divergence
(1)
time series forecasting
(1)
mutual information
(1)
scalable learning
(1)
causal structure learning
(1)
diffusion model
(1)
explainable ai
(1)
information bottleneck
(1)
Papers
Learning Fair Graph Representations via Probability of Necessity and Sufficiency
AAAI 2026
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
IJCAI 2025
Diffusion Models for Attribution
AAAI 2025
Interaction-Data-guided Conditional Instrumental Variables for Debiasing Recommender Systems
IJCAI 2025
Logit Space Constrained Fine-Tuning for Mitigating Hallucinations in LLM-Based Recommender Systems
EMNLP 2025
Telling Peer Direct Effects from Indirect Effects in Observational Network Data
ICML 2025
Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
ICLR 2024
Conditional Instrumental Variable Regression with Representation Learning for Causal Inference
ICLR 2024
FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning
AAAI 2024
Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
AAAI 2024
Causal Inference with Conditional Instruments Using Deep Generative Models
AAAI 2023
Disentangled Representation for Causal Mediation Analysis
AAAI 2023
Ancestral Instrument Method for Causal Inference without Complete Knowledge
IJCAI 2022
Treatment Effect Estimation with Disentangled Latent Factors
AAAI 2021