Ruichu Cai

CAMA: Enhancing Mathematical Reasoning in Large Language Models with Causal Knowledge AAAI 2026 Hierarchical Action Learning for Weakly-Supervised Action Segmentation CVPR 2026 Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants AAAI 2026 CACA: Context-Aware Cross-Attention Network for Extractive Aspect Sentiment Quad Prediction COLING 2025 Causal-aware Large Language Models: Enhancing Decision-Making Through Learning, Adapting and Acting IJCAI 2025 Causal View of Time Series Imputation: Some Identification Results on Missing Mechanism IJCAI 2025 Disentangling Long-Short Term State Under Unknown Interventions for Online Time Series Forecasting AAAI 2025 Dr.ECI: Infusing Large Language Models with Causal Knowledge for Decomposed Reasoning in Event Causality Identification COLING 2025 GenLink: Generation-Driven Schema-Linking via Multi-Model Learning for Text-to-SQL EMNLP 2025 Handling Missing Entities in Zero-Shot Named Entity Recognition: Integrated Recall and Retrieval Augmentation NAACL 2025 Hypergraph Learning for Unsupervised Graph Alignment via Optimal Transport AAAI 2025 Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations ICML 2025 Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning IJCAI 2025 On the Identification of Temporal Causal Representation with Instantaneous Dependence ICLR 2025 Reducing Confounding Bias without Data Splitting for Causal Inference via Optimal Transport ICML 2025 𝒮2IT: Stepwise Syntax Integration Tuning for Large Language Models in Aspect Sentiment Quad Prediction NAACL 2025 Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning ICLR 2025 Track-SQL: Enhancing Generative Language Models with Dual-Extractive Modules for Schema and Context Tracking in Multi-turn Text-to-SQL NAACL 2025 An Optimal Transport View for Subspace Clustering and Spectral Clustering AAAI 2024 Automating the Selection of Proxy Variables of Unmeasured Confounders ICML 2024 Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024 Causal-learn: Causal Discovery in Python JMLR 2024 Combinatorial Routing for Neural Trees IJCAI 2024 Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning ICML 2024 Exploiting Geometry for Treatment Effect Estimation via Optimal Transport AAAI 2024 Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation ICML 2024 Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables JMLR 2024 Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion AAAI 2024 Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model AAAI 2024 Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants AAAI 2024 Individual Causal Structure Learning from Population Data IJCAI 2024 Learning Discrete Latent Variable Structures with Tensor Rank Conditions NeurIPS 2024 On the Identifiability of Poisson Branching Structural Causal Model Using Probability Generating Function NeurIPS 2024 Reducing Balancing Error for Causal Inference via Optimal Transport ICML 2024 S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis ACL 2024 TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences AAAI 2024 Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples AAAI 2024 Causal Discovery with Latent Confounders Based on Higher-Order Cumulants ICML 2023 Some General Identification Results for Linear Latent Hierarchical Causal Structure IJCAI 2023 Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences IJCAI 2023 Subspace Identification for Multi-Source Domain Adaptation NeurIPS 2023 Identification of Linear Latent Variable Model with Arbitrary Distribution AAAI 2022 Appearance-Motion Memory Consistency Network for Video Anomaly Detection AAAI 2021 Causal Discovery with Multi-Domain LiNGAM for Latent Factors IJCAI 2021 Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS 2021 SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL NeurIPS 2021 Time Series Domain Adaptation via Sparse Associative Structure Alignment AAAI 2021 Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs NeurIPS 2020 Meta Multi-Task Learning for Speech Emotion Recognition Interspeech 2020 TAG : Type Auxiliary Guiding for Code Comment Generation ACL 2020 Causal Discovery with Cascade Nonlinear Additive Noise Model IJCAI 2019 Learning Disentangled Semantic Representation for Domain Adaptation IJCAI 2019 Triad Constraints for Learning Causal Structure of Latent Variables NeurIPS 2019 An Encoder-Decoder Framework Translating Natural Language to Database Queries IJCAI 2018 Causal Discovery from Discrete Data using Hidden Compact Representation NeurIPS 2018 A Robust Noise Resistant Algorithm for POI Identification from Flickr Data IJCAI 2017 SADA: A General Framework to Support Robust Causation Discovery ICML 2013