Ruichu Cai

Venues

Frequent coauthors

Papers

1. CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge
   AAAI 2026 ·

   Lei Zan

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2. CausalAgent: A Conversational Multi-Agent System for End-to-End Causal Inference
   IUI 2026 ·

   Jiawei Zhu

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3. Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants
   AAAI 2026 ·

   Wei Chen

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4. SAM-NER: Semantic Archetype Mediation for Zero-Shot Named Entity Recognition
   ACL 2026 · Ruichu Cai
5. SERE: Structural Example Retrieval for Enhancing LLMs in Event Causality Identification
   ACL 2026 ·

   Zhifeng Hao

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6. Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism
   IJCAI 2025 · Ruichu Cai
7. Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting
   IJCAI 2025 ·

   Wei Chen

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8. Chat2DB: Chatting to the Database with Interactive Agent Assisted Language Models
   ICDE 2025 ·

   Boyan Xu

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9. Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting
   AAAI 2025 · Ruichu Cai
10. EVA-MVC: Equitable View-weight Allocation for Generic Multi-View Clustering
    WWW 2025 ·

    Yuan Fang

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11. GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL
    EMNLP 2025 ·

    Zhifeng Hao

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12. Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation
    NAACL 2025 · Ruichu Cai
13. Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport
    AAAI 2025 ·

    Yuguang Yan

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14. Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
    ICML 2025 ·

    Zhengming Chen

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15. Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals
    WWW 2025 · Ruichu Cai
16. Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
    IJCAI 2025 · Ruichu Cai
17. On the Identification of Temporal Causal Representation with Instantaneous Dependence
    ICLR 2025 ·

    Zijian Li

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18. Online Time Series Forecasting with Theoretical Guarantees
    NeurIPS 2025 ·

    Zijian Li

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19. Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport
    ICML 2025 ·

    Yuguang Yan

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20. Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection
    AAMAS 2025 ·

    Jiafan Zhuang

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21. Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning
    ICLR 2025 ·

    Zijian Li

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22. Towards Identifiability of Hierarchical Temporal Causal Representation Learning
    NeurIPS 2025 ·

    Zijian Li

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23. Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL
    NAACL 2025 ·

    Bingfeng Chen

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24. \mathcalS²IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction
    NAACL 2025 ·

    Bingfeng Chen

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25. An Optimal Transport View for Subspace Clustering and Spectral Clustering
    AAAI 2024 ·

    Yuguang Yan

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26. Automating the Selection of Proxy Variables of Unmeasured Confounders
    ICML 2024 ·

    Feng Xie

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27. Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
    AAAI 2024 ·

    Jie Qiao

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28. Combinatorial Routing for Neural Trees
    IJCAI 2024 ·

    Jiahao Li

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29. Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning
    ICML 2024 ·

    Weilin Chen

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30. Exploiting Geometry for Treatment Effect Estimation via Optimal Transport
    AAAI 2024 ·

    Yuguang Yan

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31. Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation
    ICML 2024 ·

    Xuexin Chen

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32. Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion
    AAAI 2024 ·

    Yuguang Yan

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33. Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model
    AAAI 2024 ·

    Jie Qiao

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34. Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
    AAAI 2024 ·

    Wei Chen

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35. Individual Causal Structure Learning from Population Data
    IJCAI 2024 ·

    Wei Chen

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36. Learning Discrete Latent Variable Structures with Tensor Rank Conditions
    NeurIPS 2024 ·

    Zhengming Chen

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37. On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function
    NeurIPS 2024 ·

    Yu Xiang

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38. Reducing Balancing Error for Causal Inference via Optimal Transport
    ICML 2024 ·

    Yuguang Yan

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39. S²GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis
    ACL 2024 ·

    Bingfeng Chen

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40. TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences
    AAAI 2024 ·

    Yuequn Liu

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41. Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
    AAAI 2024 · Ruichu Cai