← Authors

Ruichu Cai

56 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (11) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (11) 🏃 Academic Marathon (12) 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (38) 🏆 Grand Slam 🌱 Topic Pioneer 🔬 Deep Specialist (24) 🏆 Keyword Champion ⚡ Prolific Year (5) 📈 Trend Setter ❓ The Questioner (2) 🗃️ Keyword Collector (210) 💎 Century Club (54) 🚀 Conference Pioneer 🔥 Unstoppable (9)

Conferences

AAAI (15) IJCAI (12) ICML (8) NIPS (8) NAACL (3) ACL (2) COLING (2) ICLR (2) JMLR (2) EMNLP (1) INTERSPEECH (1)

Top co-authors

Zhifeng Hao (39) Kun Zhang (17) Zijian Li (16) Jie Qiao (14) Boyan Xu (13) Feng Xie (9) Yuguang Yan (9) Zhengming Chen (9) Wei Chen (8) Keli Zhang (6)

Research topics

Probability (1)

Keywords

causal discovery (17) causal inference (10) causal structure (8) latent variable (5) causal direction (5) structural equation model (4) large language model (4) higher-order cumulant (3) structural causal model (3) representation learning (3) graphical model (3) graph neural network (3) domain adaptation (3) transfer learning (3) optimal transport (3) neural network (3) variational inference (2) variational autoencoder (2) cross-domain generalization (2) latent variable model (2)

Papers

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