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Jiuyong Li

  1. Causal Inference with Conditional Front-Door Adjustment and Identifiable Variational Autoencoder
    2023/10/03 by Ziqi Xu, Xu, Ziqi, Debo Cheng +9 · 6 citations
    Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  2. A Unified View of Causal and Non-causal Feature Selection
    2018/02/16 by Kui Yu, Lin Liu, Yu, Kui +3 · 3 citations
    Computer Science · Decision Sciences · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multi-Criteria Decision Making #Rough Sets and Fuzzy Logic
  3. Instrumental Variable Estimation for Causal Inference in Longitudinal Data with Time-Dependent Latent Confounders
    2023/12/12 by Debo Cheng, Ziqi Xu, Cheng, Debo +11 · 4 citations
    Mathematics · Computer Science · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference #Statistical Methods and Inference
  4. Mitigating Propensity Bias of Large Language Models for Recommender Systems
    2024/09/30 by Guixian Zhang, Zhang, Guixian, Guan Yuan +9 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Multimodal Machine Learning Applications #Recommender Systems and Techniques #Topic Modeling
  5. Learning Conditional Instrumental Variable Representation for Causal Effect Estimation
    2023/06/21 by Debo Cheng, Ziqi Xu, Cheng, Debo +9 · 1 citation
    Mathematics · Computer Science · #Advanced Causal Inference Techniques #Bayesian Modeling and Causal Inference
  6. A transformer boosted UNet for smoke segmentation in complex backgrounds in multispectral LandSat imagery
    2024/06/18 by Jixue Liu, Liu, Jixue, Jiuyong Li +5 · 1 citation
    Engineering · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fire Detection and Safety Systems #Impact of Light on Environment and Health #Infrared Target Detection Methodologies
  7. Mitigating Propensity Bias of Large Language Models for Recommender Systems
    2025/05/19 by Guixian Zhang, Guan Yuan, Debo Cheng +3 · 3 citations
    Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Topic Modeling
  8. Is it Still Fair? A Comparative Evaluation of Fairness Algorithms through the Lens of Covariate Drift
    2024/09/19 by Oscar Blessed Deho, Deho, Oscar Blessed, Michael Bewong +11 · 1 citation
    Business, Management and Accounting · Decision Sciences · #Artificial Intelligence (cs.AI) #Complex Systems and Decision Making #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Supply Chain Resilience and Risk Management
  9. Disentangled Representation Learning for Causal Inference with Instruments
    2024/12/05 by Debo Cheng, Cheng, Debo, Jiuyong Li +11 · 1 citation
    Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #Machine Learning and Data Classification
  10. Residual-Guided Multi-Resolution Refinement of Foundation Models: A Case Study in Drought Forecasting
    2026/07/20 by Wentao Gao, Jiuyong Li, Lin Liu +4
    #cs.LG
  11. Lightweight Wrappers for Adapting Time Series Foundation Models to Regional Drought Forecasting
    2026/07/20 by Wentao Gao, Jiuyong Li, Lin Liu +4
    #cs.LG