Ruichu Cai
Orcid: 0000-0001-8972-167X
According to our database1,
Ruichu Cai
authored at least 154 papers
between 2006 and 2024.
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Bibliography
2024
ACM Trans. Knowl. Discov. Data, April, 2024
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
IEEE Trans. Neural Networks Learn. Syst., February, 2024
Neural Process. Lett., February, 2024
IEEE Trans. Neural Networks Learn. Syst., January, 2024
From Large to Tiny: Distilling and Refining Mathematical Expertise for Math Word Problems with Weakly Supervision.
CoRR, 2024
When and How: Learning Identifiable Latent States for Nonstationary Time Series Forecasting.
CoRR, 2024
Unifying Invariance and Spuriousity for Graph Out-of-Distribution via Probability of Necessity and Sufficiency.
CoRR, 2024
Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation.
CoRR, 2024
Learning by Doing: An Online Causal Reinforcement Learning Framework with Causal-Aware Policy.
CoRR, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Inf. Sci., November, 2023
Neurocomputing, June, 2023
IEEE Trans. Neural Networks Learn. Syst., May, 2023
Appl. Intell., March, 2023
Neural Networks, February, 2023
IEEE Trans. Multim., 2023
Generalized Independent Noise Condition for Estimating Causal Structure with Latent Variables.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Structural Hawkes Processes for Learning Causal Structure from Discrete-Time Event Sequences.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
2022
Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders.
IEEE Trans. Neural Networks Learn. Syst., 2022
Neural Comput. Appl., 2022
Neurocomputing, 2022
Shared state space model for background information extraction and time series prediction.
Neurocomputing, 2022
Expert Syst. Appl., 2022
On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach.
CoRR, 2022
CoRR, 2022
Time-Series Domain Adaptation via Sparse Associative Structure Alignment: Learning Invariance and Variance.
CoRR, 2022
CoRR, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder.
IEEE J. Biomed. Health Informatics, 2021
ACM Trans. Intell. Syst. Technol., 2021
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems.
ACM Trans. Intell. Syst. Technol., 2021
Neural Networks, 2021
Investigating the interpretability of fetal status assessment using antepartum cardiotocographic records.
BMC Medical Informatics Decis. Mak., 2021
Compensating the vorticity loss during advection with an adaptive vorticity confinement force.
Comput. Animat. Virtual Worlds, 2021
CoRR, 2021
CoRR, 2021
On the Role of Entropy-based Loss for Learning Causal Structures with Continuous Optimization.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Domain Adaptation with Invariant Representation Learning: What Transformations to Learn?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Causal Analysis Workshop Series, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
An Efficient Entropy-Based Causal Discovery Method for Linear Structural Equation Models With IID Noise Variables.
IEEE Trans. Neural Networks Learn. Syst., 2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Neural Networks, 2020
FOM: Fourth-order moment based causal direction identification on the heteroscedastic data.
Neural Networks, 2020
Neural Comput. Appl., 2020
Comput. Animat. Virtual Worlds, 2020
Inf. Sci., 2020
Generalized Independent Noise Condition for Estimating Linear Non-Gaussian Latent Variable Graphs.
CoRR, 2020
Sci. China Inf. Sci., 2020
Dual-dropout graph convolutional network for predicting synthetic lethality in human cancers.
Bioinform., 2020
Generalized Independent Noise Condition for Estimating Latent Variable Causal Graphs.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Interspeech 2020, 2020
Proceedings of the 22nd IEEE International Conference on High Performance Computing and Communications; 18th IEEE International Conference on Smart City; 6th IEEE International Conference on Data Science and Systems, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Serv. Oriented Comput. Appl., 2019
A subgraph-representation-based method for answering complex questions over knowledge bases.
Neural Networks, 2019
计算机科学, 2019
Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems.
CoRR, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Intelligence Science and Big Data Engineering. Big Data and Machine Learning, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
2018
Sophisticated Merging Over Random Partitions: A Scalable and Robust Causal Discovery Approach.
IEEE Trans. Neural Networks Learn. Syst., 2018
Multim. Tools Appl., 2018
Comput. Animat. Virtual Worlds, 2018
基于多视角多标签学习的读者情绪分类 (Emotion Classification for Readers Based on Multi-view Multi-label Learning).
计算机科学, 2018
Proceedings of the 2018 IEEE SmartWorld, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
Proceedings of the 2018 IEEE International Conference on Web Services, 2018
Identification of Causality Among Gene Mutations Through Local Causal Association Rule Discovery.
Proceedings of the Neural Information Processing - 25th International Conference, 2018
Waterwheel: Realtime Indexing and Temporal Range Query Processing over Massive Data Streams.
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
Generating Natural Answers on Knowledge Bases and Text by Sequence-to-Sequence Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018
HASS: High Accuracy Spike Sorting with Wavelet Package Decomposition and Mutual Information.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
DITIR: Distributed Index for High Throughput Trajectory Insertion and Real-time Temporal Range Query.
Proc. VLDB Endow., 2017
计算机科学, 2017
Recognizing activities from partially observed streams using posterior regularized conditional random fields.
Neurocomputing, 2017
CoRR, 2017
SADA: A General Framework to Support Robust Causation Discovery with Theoretical Guarantee.
CoRR, 2017
Identification of adverse drug-drug interactions through causal association rule discovery from spontaneous adverse event reports.
Artif. Intell. Medicine, 2017
An efficient kurtosis-based causal discovery method for linear non-Gaussian acyclic data.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
An CNN-LSTM Attention Approach to Understanding User Query Intent from Online Health Communities.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017
A Dynamic Conditional Random Field Based Framework for Sentence-Level Sentiment Analysis of Chinese Microblog.
Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017
2016
Multiple-cause discovery combined with structure learning for high-dimensional discrete data and application to stock prediction.
Soft Comput., 2016
Proceedings of the 2016 SIAM International Conference on Data Mining, 2016
Proceedings of the Web Technologies and Applications, 2016
2015
J. Intell. Fuzzy Syst., 2015
Bioinform., 2015
Mining the Discriminative Word Sets for Bag-of-Words Model Based on Distributional Similarity Graph.
Proceedings of the Web Technologies and Applications, 2015
Proceedings of the Web Technologies and Applications - 17th Asia-PacificWeb Conference, 2015
2014
Determining molecular predictors of adverse drug reactions with causality analysis based on structure learning.
J. Am. Medical Informatics Assoc., 2014
Proceedings of the Neural Information Processing - 21st International Conference, 2014
2013
Neural Networks, 2013
Neural Comput. Appl., 2013
Product named entity recognition for Chinese query questions based on a skip-chain CRF model.
Neural Comput. Appl., 2013
Decis. Support Syst., 2013
Regularized Gaussian Mixture Model based discretization for gene expression data association mining.
Appl. Intell., 2013
Proceedings of the International Conference on Machine Learning and Cybernetics, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2013
2012
Proceedings of the Advances in Swarm Intelligence - Third International Conference, 2012
Proceedings of the Eighth International Conference on Natural Computation, 2012
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
Word similarity-based Schema Matching and its application in Chinese mobile phone information integration.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012
2011
What is Unequal among the Equals? Ranking Equivalent Rules from Gene Expression Data.
IEEE Trans. Knowl. Data Eng., 2011
Pattern Recognit., 2011
2010
J. Comput. Appl. Math., 2010
Kernel based gene expression pattern discovery and its application on cancer classification.
Neurocomputing, 2010
2009
Neurocomputing, 2009
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2009
2007
Proceedings of the International Joint Conference on Neural Networks, 2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
2006
Proceedings of the Computational Intelligence and Bioinformatics, 2006