Ruichu Cai

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 156

Top Venues

CoRR

AAAI

IEEE Trans. Neural Networks Learn. Syst.

IJCAI

Publications

Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. AAAI (2024)
Zeqin Yang, Weilin Chen, Ruichu Cai, Yuguang Yan, Zhifeng Hao, Zhipeng Yu, Zhichao Zou, Zhen Peng, Jiecheng Guo
Estimating Long-term Heterogeneous Dose-response Curve: Generalization Bound Leveraging Optimal Transport Weights. CoRR (2024)
Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang Yan
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. AAAI (2024)
Zijian Li, Yifan Shen, Kaitao Zheng, Ruichu Cai, Xiangchen Song, Mingming Gong, Zhifeng Hao, Zhengmao Zhu, Guangyi Chen, Kun Zhang
On the Identification of Temporally Causal Representation with Instantaneous Dependence. CoRR (2024)
Ruichu Cai, Zhifang Jiang, Zijian Li, Weilin Chen, Xuexin Chen, Zhifeng Hao, Yifan Shen, Guangyi Chen, Kun Zhang
From Orthogonality to Dependency: Learning Disentangled Representation for Multi-Modal Time-Series Sensing Signals. CoRR (2024)
Qingwen Lin, Boyan Xu, Zhengting Huang, Ruichu Cai
From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision. CoRR (2024)
Ruichu Cai, Siyang Huang, Jie Qiao, Wei Chen, Yan Zeng, Keli Zhang, Fuchun Sun, Yang Yu, Zhifeng Hao
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy. CoRR (2024)
Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li
Unifying Invariant and Variant Features for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. CoRR (2024)
Jiafan Zhuang, Zihao Xia, Gaofei Han, Boxi Wang, Wenji Li, Dongliang Wang, Zhifeng Hao, Ruichu Cai, Zhun Fan
Collision Avoidance for Multiple UAVs in Unknown Scenarios with Causal Representation Disentanglement. CoRR (2024)
Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
THPs: Topological Hawkes Processes for Learning Causal Structure on Event Sequences. IEEE Trans. Neural Networks Learn. Syst. 35 (1) (2024)
Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao
GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. CoRR (2024)
Zhengming Chen, Ruichu Cai, Feng Xie, Jie Qiao, Anpeng Wu, Zijian Li, Zhifeng Hao, Kun Zhang
Learning Discrete Latent Variable Structures with Tensor Rank Conditions. CoRR (2024)
Lijuan Wang, Shaomin Chen, Ming Yin, Zhifeng Hao, Ruichu Cai
Block diagonal representation learning with local invariance for face clustering. Soft Comput. 28 (13-14) (2024)
Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. AAAI (2024)
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. AAAI (2024)
Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion. AAAI (2024)
Xuexin Chen, Ruichu Cai, Zhengting Huang, Yuxuan Zhu, Julien Horwood, Zhifeng Hao, Zijian Li, José Miguel Hernández-Lobato
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation. CoRR (2024)
Yuguang Yan, Zhihao Xu, Canlin Yang, Jie Zhang, Ruichu Cai, Michael Kwok-Po Ng
An Optimal Transport View for Subspace Clustering and Spectral Clustering. AAAI (2024)
Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. CoRR (2024)
Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis. AAAI (2024)
Bingfeng Chen, Qihan Ouyang, Yongqi Luo, Boyan Xu, Ruichu Cai, Zhifeng Hao
S²GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis. ACL (1) (2024)
Zijian Li, Ruichu Cai, Haiqin Huang, Sili Zhang, Yuguang Yan, Zhifeng Hao, Zhenghua Dong
Debiased Model-based Interactive Recommendation. CoRR (2024)
Wen Wen, Shiyuan Wu, Ruichu Cai, Zhifeng Hao
Cross-KG Link Prediction by Learning Substructural Semantics. Neural Process. Lett. 56 (1) (2024)
Jiafan Zhuang, Gaofei Han, Zihao Xia, Boxi Wang, Wenji Li, Dongliang Wang, Zhifeng Hao, Ruichu Cai, Zhun Fan
Robust Policy Learning for Multi-UAV Collision Avoidance with Causal Feature Selection. CoRR (2024)
Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang
Graph Domain Adaptation: A Generative View. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo
Long-term causal effects estimation via latent surrogates representation learning. Neural Networks 176 (2024)
Ruichu Cai, Yunjin Wu, Xiaokai Huang, Wei Chen, Tom Z. J. Fu, Zhifeng Hao
Granger causal representation learning for groups of time series. Sci. China Inf. Sci. 67 (5) (2024)
Weilin Chen, Ruichu Cai, Zeqin Yang, Jie Qiao, Yuguang Yan, Zijian Li, Zhifeng Hao
Doubly Robust Causal Effect Estimation under Networked Interference via Targeted Learning. CoRR (2024)
Xuexin Chen, Ruichu Cai, Kaitao Zheng, Zhifan Jiang, Zhengting Huang, Zhifeng Hao, Zijian Li
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency. CoRR (2024)
Yuguang Yan, Zeqin Yang, Weilin Chen, Ruichu Cai, Zhifeng Hao, Michael Kwok-Po Ng
Exploiting Geometry for Treatment Effect Estimation via Optimal Transport. AAAI (2024)
Feng Xie, Zhengming Chen, Shanshan Luo, Wang Miao, Ruichu Cai, Zhi Geng
Automating the Selection of Proxy Variables of Unmeasured Confounders. CoRR (2024)
Qingwen Lin, Boyan Xu, Zhengting Huang, Ruichu Cai
From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision. ICIC (LNAI 6) (2024)
Zijian Li, Ruichu Cai, Tom Z. J. Fu, Zhifeng Hao, Kun Zhang
Transferable Time-Series Forecasting Under Causal Conditional Shift. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Ruichu Cai, Ruming Lu, Wei Chen, Zhifeng Hao
Counterfactual contextual bandit for recommendation under delayed feedback. Neural Comput. Appl. 36 (23) (2024)
Zijian Li, Ruichu Cai, Zhenhui Yang, Haiqin Huang, Guangyi Chen, Yifan Shen, Zhengming Chen, Xiangchen Song, Zhifeng Hao, Kun Zhang
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting. CoRR (2024)
Feng Xie, Biwei Huang, Zhengming Chen, Ruichu Cai, Clark Glymour, Zhi Geng, Kun Zhang
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables. CoRR (2023)
Ruichu Cai, Liting Huang, Wei Chen, Jie Qiao, Zhifeng Hao
Learning dynamic causal mechanisms from non-stationary data. Appl. Intell. 53 (5) (2023)
Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
Generalization Bound for Estimating Causal Effects from Observational Network Data. CIKM (2023)
Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. ICML (2023)
Ruichu Cai, Yuequn Liu, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences. CoRR (2023)
Ruichu Cai, Zhiyi Huang, Wei Chen, Zhifeng Hao, Kun Zhang
Causal Discovery with Latent Confounders Based on Higher-Order Cumulants. CoRR (2023)
Zijian Li, Zunhong Xu, Ruichu Cai, Zhenhui Yang, Yuguang Yan, Zhifeng Hao, Guangyi Chen, Kun Zhang
Identifying Semantic Component for Robust Molecular Property Prediction. CoRR (2023)
Yan Zeng, Ruichu Cai, Fuchun Sun, Libo Huang, Zhifeng Hao
A Survey on Causal Reinforcement Learning. CoRR (2023)
Yanshan Xiao, Liangwang Zhang, Bo Liu, Ruichu Cai, Zhifeng Hao
Multi-task ordinal regression with labeled and unlabeled data. Inf. Sci. 649 (2023)
Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
Subspace Identification for Multi-Source Domain Adaptation. CoRR (2023)
Ruichu Cai, Zeqin Yang, Weilin Chen, Yuguang Yan, Zhifeng Hao
Generalization bound for estimating causal effects from observational network data. CoRR (2023)
Zhifeng Hao, Junbin Chen, Wen Wen, Biao Wu, Ruichu Cai
A selection-pattern-aware recommendation model with colored-motif attention network. Neurocomputing 538 (2023)
Wei Chen, Zhiyi Huang, Ruichu Cai, Zhifeng Hao, Kun Zhang
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants. CoRR (2023)
Zhifeng Hao, Haipeng Zhu, Wei Chen, Ruichu Cai
Latent Causal Dynamics Model for Model-Based Reinforcement Learning. ICONIP (2) (2023)
Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. CoRR (2023)
Jie Qiao, Zhengming Chen, Jianhua Yu, Ruichu Cai, Zhifeng Hao
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model. CoRR (2023)
Jian Zhu, Qingwu Zhang, Lunke Fei, Ruichu Cai, Yuan Xie, Bin Sheng, Xiaokang Yang
FFFN: Frame-By-Frame Feedback Fusion Network for Video Super-Resolution. IEEE Trans. Multim. 25 (2023)
Ruichu Cai, Yuxuan Zhu, Jie Qiao, Zefeng Liang, Furui Liu, Zhifeng Hao
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples. CoRR (2023)
Yujia Zheng, Biwei Huang, Wei Chen, Joseph D. Ramsey, Mingming Gong, Ruichu Cai, Shohei Shimizu, Peter Spirtes, Kun Zhang
Causal-learn: Causal Discovery in Python. CoRR (2023)
Wen Wen, Wencui Wang, Zhifeng Hao, Ruichu Cai
Factorizing time-heterogeneous Markov transition for temporal recommendation. Neural Networks 159 (2023)
Jie Qiao, Ruichu Cai, Siyu Wu, Yu Xiang, Keli Zhang, Zhifeng Hao
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences. IJCAI (2023)
Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Libo Huang, Shohei Shimizu
Nonlinear Causal Discovery for High-Dimensional Deterministic Data. IEEE Trans. Neural Networks Learn. Syst. 34 (5) (2023)
Zijian Li, Ruichu Cai, Guangyi Chen, Boyang Sun, Zhifeng Hao, Kun Zhang
Subspace Identification for Multi-Source Domain Adaptation. NeurIPS (2023)
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Ruichu Cai
Some General Identification Results for Linear Latent Hierarchical Causal Structure. IJCAI (2023)
Zhengming Chen, Feng Xie, Jie Qiao, Zhifeng Hao, Kun Zhang, Ruichu Cai
Identification of Linear Latent Variable Model with Arbitrary Distribution. AAAI (2022)
Wei Chen, Jibin Chen, Ruichu Cai, Yuequn Liu, Zhifeng Hao
Learning granger causality for non-stationary Hawkes processes. Neurocomputing 468 (2022)
Wei Chen, Ruichu Cai, Kun Zhang, Zhifeng Hao
Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders. IEEE Trans. Neural Networks Learn. Syst. 33 (7) (2022)
Zijian Li, Ruichu Cai, Jiawei Chen, Yuguan Yan, Wei Chen, Keli Zhang, Junjian Ye
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance. CoRR (2022)
Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao
Causal discovery from multi-domain data using the independence of modularities. Neural Comput. Appl. 34 (3) (2022)
Ruichu Cai, Fengzhu Wu, Zijian Li, Jie Qiao, Wei Chen, Yuexing Hao, Hao Gu
REST: Debiased Social Recommendation via Reconstructing Exposure Strategies. CoRR (2022)
Ruichu Cai, Yuxuan Zhu, Xuexin Chen, Yuan Fang, Min Wu, Jie Qiao, Zhifeng Hao
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach. CoRR (2022)
Ruichu Cai, Zhaolong Lin, Wei Chen, Zhifeng Hao
Shared state space model for background information extraction and time series prediction. Neurocomputing 468 (2022)
Yuequn Liu, Wenhui Zhu, Jie Qiao, Zhiyi Huang, Yu Xiang, Xuanzhi Chen, Wei Chen, Ruichu Cai
Causal Alignment Based Fault Root Causes Localization for Wireless Network. ICASSP (2022)
Zhifeng Hao, Junhao Chen, Wen Wen, Biao Wu, Ruichu Cai
Motif-based memory networks for complex-factoid question answering. Neurocomputing 485 (2022)
Lijuan Wang, Lin Zhang, Ming Yin, Zhifeng Hao, Ruichu Cai, Wen Wen
Double embedding-transfer-based multi-view spectral clustering. Expert Syst. Appl. 210 (2022)
Ruichu Cai, Weilin Chen, Zeqin Yang, Shu Wan, Chen Zheng, Xiaoqing Yang, Jiecheng Guo
Long-term Causal Effects Estimation via Latent Surrogates Representation Learning. CoRR (2022)
Ruichu Cai, Fengzhu Wu, Zijian Li, Pengfei Wei, Lingling Yi, Kun Zhang
Graph Domain Adaptation: A Generative View. CoRR (2021)
Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang
Time Series Domain Adaptation via Sparse Associative Structure Alignment. AAAI (2021)
Wei Chen, Yunjin Wu, Ruichu Cai, Yueguo Chen, Zhifeng Hao
CCSL: A Causal Structure Learning Method from Multiple Unknown Environments. CoRR (2021)
Wei Chen, Kun Zhang, Ruichu Cai, Biwei Huang, Joseph D. Ramsey, Zhifeng Hao, Clark Glymour
FRITL: A Hybrid Method for Causal Discovery in the Presence of Latent Confounders. CoRR (2021)
Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao
Appearance-Motion Memory Consistency Network for Video Anomaly Detection. AAAI (2021)
Jie Qiao, Yiming Bai, Ruichu Cai, Zhifeng Hao
Learning causal structures using hidden compact representation. Neurocomputing 463 (2021)
Xuexin Chen, Ruichu Cai, Yuan Fang, Min Wu, Zijian Li, Zhifeng Hao
Motif Graph Neural Network. CoRR (2021)
Zhifeng Hao, Di Wu, Yuan Fang, Min Wu, Ruichu Cai, Xiaoli Li
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder. IEEE J. Biomed. Health Informatics 25 (10) (2021)
Ruichu Cai, Siyu Wu, Jie Qiao, Zhifeng Hao, Keli Zhang, Xi Zhang
THP: Topological Hawkes Processes for Learning Granger Causality on Event Sequences. CoRR (2021)
Zijian Li, Ruichu Cai, Fengzhu Wu, Sili Zhang, Hao Gu, Yuexing Hao, Yuguang
TEA: A Sequential Recommendation Framework via Temporally Evolving Aggregations. CoRR (2021)
Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. NeurIPS (2021)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. CAWS (2021)
Ruichu Cai, Weilin Chen, Jie Qiao, Zhifeng Hao
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization. CoRR (2021)
Liting Huang, Zhiying Jiang, Ruichu Cai, Li Li, Qinqun Chen, Jiaming Hong, Zhifeng Hao, Hang Wei
Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records. BMC Medical Informatics Decis. Mak. 21 (1) (2021)
Jie Qiao, Ruichu Cai, Kun Zhang, Zhenjie Zhang, Zhifeng Hao
Causal Discovery with Confounding Cascade Nonlinear Additive Noise Models. ACM Trans. Intell. Syst. Technol. 12 (6) (2021)
Zijian Li, Ruichu Cai, Tom Z. J. Fu, Kun Zhang
Transferable Time-Series Forecasting under Causal Conditional Shift. CoRR (2021)
Yan Zeng, Shohei Shimizu, Ruichu Cai, Feng Xie, Michio Yamamoto, Zhifeng Hao
Causal Discovery with Multi-Domain LiNGAM for Latent Factors. IJCAI (2021)
Zijian Li, Ruichu Cai, Hong Wei Ng, Marianne Winslett, Tom Z. J. Fu, Boyan Xu, Xiaoyan Yang, Zhenjie Zhang
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems. ACM Trans. Intell. Syst. Technol. 12 (2) (2021)
Jian Zhu, Silong Li, Ruichu Cai, Zhifeng Hao, Guoheng Huang, Bin Sheng, Enhua Wu
Compensating the vorticity loss during advection with an adaptive vorticity confinement force. Comput. Animat. Virtual Worlds 32 (1) (2021)
Ruichu Cai, Jinjie Yuan, Boyan Xu, Zhifeng Hao
SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL. CoRR (2021)
Zhifeng Hao, Di Lv, Zijian Li, Ruichu Cai, Wen Wen, Boyan Xu
Semi-supervised disentangled framework for transferable named entity recognition. Neural Networks 135 (2021)
Petar Stojanov, Zijian Li, Mingming Gong, Ruichu Cai, Jaime G. Carbonell, Kun Zhang
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn? NeurIPS (2021)
Ruichu Cai, Xuexin Chen, Yuan Fang, Min Wu, Yuexing Hao, Jonathan D. Wren
Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers. Bioinform. 36 (16) (2020)
Feng Xie, Ruichu Cai, Yan Zeng, Jiantao Gao, Zhifeng Hao
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables. IEEE Trans. Neural Networks Learn. Syst. 31 (5) (2020)
Ruichu Cai, Jincheng Ye, Jie Qiao, Huiyuan Fu, Zhifeng Hao
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data. Neural Networks 124 (2020)
Ruichu Cai, Jiawei Chen, Zijian Li, Wei Chen, Keli Zhang, Junjian Ye, Zhuozhang Li, Xiaoyan Yang, Zhenjie Zhang
Time Series Domain Adaptation via Sparse Associative Structure Alignment. CoRR (2020)
Ruichu Cai, Zhihao Liang, Boyan Xu, Zijian Li, Yuexing Hao, Yao Chen
TAG : Type Auxiliary Guiding for Code Comment Generation. ACL (2020)
Yan Zeng, Zhifeng Hao, Ruichu Cai, Feng Xie, Liang Ou, Ruihui Huang
A causal discovery algorithm based on the prior selection of leaf nodes. Neural Networks 124 (2020)

Ruichu Cai.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Ruichu Cai