A Survey of Learning Causality with Data: Problems and Methods

Guo, Ruocheng, Cheng, Lu, Li, Jundong, Hahn, P. Richard, Liu, Huan·2021·ACM Computing Surveys
DOI 10.1145/3397269

Cited by (366)

Items 101–200 of 366

  1. Causal invariant geographic network representations with feature and structural distribution shifts
    Yuhan Wang, Silu He, Qinyao Luo, Hongyuan Yuan, Ling Zhao, Jiawei Zhu, Haifeng Li · 2025 · Future Generation Computer Systems
  2. Explainable Reinforcement and Causal Learning for Improving Trust to 6G Stakeholders
    Miguel Arana‐Catania, Amir Sonee, Abdul-Manan Khan, Kavan Fatehi, Yun Tang, Bailu Jin, Anna Soligo, David Boyle, Radu Călinescu, Poonam Yadav et al. · 2025 · IEEE Open Journal of the Communications Society
  3. Multi-objective Explanations of GNN Predictions
    Yifei Liu, Chao Chen, Yazheng Liu, Xi Zhang, Sihong Xie · 2021 · Proceedings
  4. Nonlinear learning method for local causal structures
    Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang · 2023 · Information Sciences
  5. Fine-Grained Pavement Performance Prediction Based on Causal-Temporal Graph Convolution Networks
    Wenyuan Cai, Andi Song, Yuchuan Du, Chenglong Liu, Difei Wu, Feng Li · 2023 · IEEE Transactions on Intelligent Transportation Systems
  6. Estimating and Controlling the False Discovery Rate of the PC Algorithm Using Edge-specific P-Values
    Eric V. Strobl, Peter Spirtes, Shyam Visweswaran · 2019 · ACM Transactions on Intelligent Systems and Technology
  7. Local Search for Efficient Causal Effect Estimation
    Debo Cheng, Jiuyong Li, Lin Liu, Jiji Zhang, Jixue Liu, Thuc Duy Le · 2022 · IEEE Transactions on Knowledge and Data Engineering
  8. Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix
    Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kıcıman · 2021 · arXiv (Cornell University)
  9. Machine learning and public health policy evaluation: research dynamics and prospects for challenges
    Z.-J Li, Hui Zhou, Zhen Xu, Q Ma · 2025 · Frontiers in Public Health
  10. Causality Mining in Natural Languages Using Machine and Deep Learning Techniques: A Survey
    Wajid Ali, Wanli Zuo, Rahman Ali, Xianglin Zuo, Gohar Rahman · 2021 · Applied Sciences
  11. An occupant-centered approach to improve both his comfort and the energy efficiency of the building
    Fateh Boulmaiz, Patrick Reignier, Stéphane Ploix · 2022 · Knowledge-Based Systems
  12. Causality-Aware Convolutional Neural Networks for Advanced Image Classification and Generation
    Vagan Y. Terziyan, Oleksandra Vitko · 2023 · Procedia Computer Science
  13. Using causal inference to avoid fallouts in data-driven parametric analysis: A case study in the architecture, engineering, and construction industry
    Xia Chen, Ruiji Sun, Ueli Saluz, Stefano Schiavon, Philipp Geyer · 2023 · Developments in the Built Environment
  14. Discovering Ancestral Instrumental Variables for Causal Inference From Observational Data
    Debo Cheng, Jiuyong Li, Lin Liu, Kui Yu, Thuc Duy Le, Jixue Liu · 2023 · IEEE Transactions on Neural Networks and Learning Systems
  15. Boosting Synthetic Data Generation with Effective Nonlinear Causal Discovery
    Martina Cinquini, Fosca Giannotti, Riccardo Guidotti · 2021 · IEEE International Conference on Cognitive Machine Intelligence (CogMI)
  16. Disentangled Representation for Causal Mediation Analysis
    Ziqi Xu, Debo Cheng, Jiuyong Li, Jixue Liu, Lin Liu, Ke Wang · 2023 · Proceedings of the AAAI Conference on Artificial Intelligence
  17. Machine Learning‐Based Quantification of Patient Factors Impacting Remission in Patients With Ulcerative Colitis: Insights from Etrolizumab Phase III Clinical Trials
    Rashed Harun, James Jian-Qiang Lu, Nastya Kassir, Wenhui Zhang · 2023 · Clinical Pharmacology & Therapeutics
  18. Quant 4.0: engineering quantitative investment with automated, explainable, and knowledge-driven artificial intelligence
    Jian Guo, Saizhuo Wang, Lionel Ming-shuan Ni, Heung‐Yeung Shum · 2024 · Frontiers of Information Technology & Electronic Engineering
  19. Causal Learning for Socially Responsible AI
    Cheng, Lu, Mosallanezhad, Ahmadreza, Sheth, Paras, Liu, Huan · 2021 · Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence
  20. Causal inference based cuffless blood pressure estimation: A pilot study
    Lei Liu, Yuan‐Ting Zhang, Wenyan Wang, Yifan Chen, Xiaorong Ding · 2023 · Computers in Biology and Medicine
  21. IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
    Ruocheng Guo, Jundong Li, Yichuan Li, K. Candan, A. Raglin, Huan Liu · 2020 · International Joint Conference on Artificial Intelligence
  22. Monitoring Crack Propagation using Data-Driven Causal Discovery and Supervised Learning
    Rui Liu, Siddharth Misra · 2021 · Mechanical Systems and Signal Processing
  23. A two-stage causality method for time series prediction based on feature selection and momentary conditional independence
    Dewei Ma, Weijie Ren, Min Han · 2022 · Physica A Statistical Mechanics and its Applications
  24. AutoConf: New Algorithm for Reconfiguration of Cyber-Physical Production Systems
    Kaja Balzereit, Oliver Niggemann · 2022 · IEEE Transactions on Industrial Informatics
  25. Identifying treatment heterogeneity in atrial fibrillation using a novel causal machine learning method
    Che G. Ngufor, Xiaoxi Yao, Jonathan Inselman, Joseph S. Ross, Sanket Shishir Dhruva, David J. Graham, Jooyeon Lee, Konstantinos C. Siontis, Nihar R. Desai, Eric C. Polley et al. · 2023 · American Heart Journal
  26. Neural Time-Invariant Causal Discovery from Time Series Data
    Saima Absar, Yongkai Wu, Lu Zhang · 2023 · International Joint Conference on Neural Networks (IJCNN)
  27. A Data-Driven Decision Support Framework for Player Churn Analysis in Online Games
    Yu Xiong, Runze Wu, Shiwei Zhao, Jianrong Tao, Xudong Shen, Tangjie Lyu, Changjie Fan, Peng Cui · 2023 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  28. Collaborative causal inference on distributed data
    Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai · 2023 · Expert Systems with Applications
  29. When Causality Meets Fairness: A Survey
    Karima Makhlouf, Sami Zhioua, Catuscia Palamidessi A · 2023 · Journal of Logical and Algebraic Methods in Programming
  30. Causality extraction: A comprehensive survey and new perspective
    Wajid Ali, Wanli Zuo, Ying Wang, Rahman Ali, Gohar Rahman, Inam Ullah · 2023 · Journal of King Saud University - Computer and Information Sciences
  31. A Causality-Inspired Approach for Anomaly Detection in a Water Treatment Testbed
    Georgios Koutroulis, Belgin Mutlu, Roman Kern · 2022 · Sensors
  32. CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data
    Qingyang Yu, Changhua Pei, Bowen Hao, Mingjie Li, Zeyan Li, Shenglin Zhang, Xianglin Lu, Rui Wang, Jiaqi Li, Zhenyu Wu et al. · 2023 · International World Wide Web Conference (WWW)
  33. Application of Causal Inference to the Analysis of Occupant Thermal State and Energy Behavioral Intentions in Immersive Virtual Environments
    Girish Srivatsa Rentala, Yimin Zhu, Supratik Mukhopadhyay · 2021 · Frontiers in Sustainable Cities
  34. Causality-Based PCA Methods for Condition Modeling of Mechatronic Systems
    Jie Liu, Yubo Xu, Yishu Chen · 2023 · IEEE Transactions on Industrial Informatics
  35. Disentangling and Operationalizing AI Fairness at LinkedIn
    Joaquin Quiñonero Candela, Yuwen Wu, Brian Hsu, Sakshi Jain, Jennifer Ramos, Jon Adams, Robert Hallman, Kinjal Basu · 2023 · ACM Conference on Fairness, Accountability, and Transparency (FAccT)
  36. Tutorial on Matching-based Causal Analysis of Human Behaviors Using Smartphone Sensor Data
    Gyuwon Jung, Sangjun Park, Eun-Yeol Ma, Heeyoung Kim, Uichin Lee · 2024 · ACM Computing Surveys
  37. Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery
    Pei Guo, Yiyi Huang, Jianwu Wang · 2021 · Big Data Research
  38. Causal Mediation Analysis with Hidden Confounders
    Lu Cheng, Ruocheng Guo, Huan Liu · 2022 · ACM International Conference on Web Search and Data Mining (WSDM)
  39. Long-Term Effect Estimation with Surrogate Representation
    Lu Cheng, Ruocheng Guo, Huan Liu · 2021 · ACM International Conference on Web Search and Data Mining (WSDM)
  40. Statistical Perspective on Functional and Causal Neural Connectomics: A Comparative Study
    Rahul Biswas, Eli Shlizerman · 2022 · Frontiers in Systems Neuroscience
  41. Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media
    Bohan Jiang, Lu Cheng, Zhen Tan, Ruocheng Guo, Huan Liu · 2024 · IEEE International Conference on Data Science and Advanced Analytics (DSAA)
  42. Intelligent Root Cause Localization in MicroService Systems: A Survey and New Perspectives
    Nan Fu, Guang Cheng, Yue Teng, Guangye Dai, Shui Yu, Zihan Chen · 2025 · ACM Computing Surveys
  43. A framework for causal discovery in non-intervenable systems
    Peter Jan van Leeuwen, Michael DeCaria, Nachiketa Chakraborty, Manuel Pulido · 2021 · Chaos An Interdisciplinary Journal of Nonlinear Science
  44. Stable Prediction with Leveraging Seed Variable
    Kun Kuang, Haotian Wang, Yue Liu, Ruoxuan Xiong, Runze Wu, Weiming Lü, Yue Ting Zhuang, Fei Qing Wu, Peng Cui, Bo Li · 2022 · IEEE Transactions on Knowledge and Data Engineering
  45. Nonlinear Causal Discovery in Time Series
    Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen · 2022 · ACM International Conference on Information and Knowledge Management (CIKM)
  46. Chromothripsis detection with multiple myeloma patients based on deep graph learning
    Jixiang Yu, Nanjun Chen, Zetian Zheng, Ming Yu Gao, Ning Liang, Ka‐Chun Wong · 2023 · Bioinformatics
  47. Local causal structure learning for streaming features
    Dianlong You, Siqi Dong, Shina Niu, Huigui Yan, Zhen Chen, Shunfu Jin, Di Wu, Xindong Wu · 2023 · Information Sciences
  48. An explainable deep reinforcement learning algorithm for the parameter configuration and adjustment in the consortium blockchain
    Zhonghao Zhai, Shen Su-bin, Yanqin Mao · 2023 · Engineering Applications of Artificial Intelligence
  49. MS-UNet: Multi-Scale Nested UNet for Medical Image Segmentation with Few Training Data Based on an ELoss and Adaptive Denoising Method
    Haoyuan Chen, Yufei Han, Linwei Yao, Xin Wu, Kuan Li, Jianping Yin · 2024 · Mathematics
  50. Weakly Supervised Causal Discovery Based on Fuzzy Knowledge and Complex Data Complementarity
    Wenrui Li, Wei Zhang, Qinghao Zhang, Xuegong Zhang, Xiaowo Wang · 2024 · IEEE Transactions on Fuzzy Systems
  51. Understanding complex systems through differential causal networks
    Annamaria Defilippo, Federico Manuel Giorgi, Pierangelo Veltri, Pietro Hiram Guzzi · 2024 · Scientific Reports
  52. Towards a Framework for Observational Causality from Time Series: When Shannon Meets Turing
    David Sigtermans · 2020 · Entropy
  53. Detecting dynamical causality by intersection cardinal concavity
    Peng Tao, Qifan Wang, Jifan Shi, Xiaohu Hao, Xiaoping Liu, Bin Min, Yiheng Zhang, Chenyang Li, He Cui, Luonan Chen · 2023 · Fundamental Research
  54. Skeleton estimation of directed acyclic graphs using partial least squares from correlated data
    Xiaokang Wang, Shan Lu, Rui Zhou, Huiwen Wang · 2023 · Pattern Recognition
  55. Causal inference in the age of big data: blind faith in data and technology
    Fan Chao, Weibin Wang, Guang Yu · 2023 · Kybernetes
  56. Modeling Interference for Individual Treatment Effect Estimation from Networked Observational Data
    Qiang Huang, Jing Ma, Jun-Dong Li, Ruo-Cheng Guo, H. Sun, Yi Chang · 2023 · ACM Transactions on Knowledge Discovery from Data
  57. Causal program dependence analysis
    Seongmin Lee, Dave Binkley, ROBERT H. FELDT, Nicolas Gold, Shin Yoo · 2024 · Science of Computer Programming
  58. Understanding and Analysing Causal Relations through Modelling using Causal Machine Learning
    D. Naga Jyothi, Uma N. Dulhare · 2025 · International Journal of Computational and Experimental Science and Engineering
  59. Explaining and predicting human behavior and social dynamics in simulated virtual worlds: reproducibility, generalizability, and robustness of causal discovery methods
    Svitlana Volkova, Dustin Arendt, Emily Saldanha, Maria Glenski, Ellyn Ayton, Joseph A. Cottam, Sinan G. Aksoy, Brett A. Jefferson, Karthnik Shrivaram · 2021 · Computational and Mathematical Organization Theory
  60. Fairness, explainability, privacy, and robustness for trustworthy algorithmic decision-making
    Subhabrata Majumdar · 2023 · Elsevier eBooks
  61. Deep causal learning for robotic intelligence
    Yangming Li · 2023 · Frontiers in Neurorobotics
  62. Towards the use of Unsupervised Causal Learning in Wireless Networks Operation
    Marco Sousa, Pedro A. Vieira, Maria Paula Queluz, António Rodrigues · 2023 · Journal of King Saud University - Computer and Information Sciences
  63. The Value of Last-Mile Delivery in Online Retail
    Zhikun Lu, Ruomeng Cui, Tianshu Sun, Lixia Wu · 2026 · Management Science
  64. Inductive Granger Causal Modeling for Multivariate Time Series
    Yunfei Chu, Xiaowei Wang, Jianxin Ma, Kunyang Jia, Jingren Zhou, Hongxia Yang · 2020 · Proceedings
  65. Discovering Common Hidden Causes in Sequences of Events
    Simon Valentin, Neil R Bramley, Christopher G. Lucas · 2022 · Computational Brain & Behavior
  66. MissDeepCausal: Causal Inference from Incomplete Data Using Deep Latent Variable Models
    Imke Mayer, Julie Josse, Félix Raimundo, Jean‐Philippe Vert · 2020 · arXiv (Cornell University)
  67. Coupling Graph Attention Networks with Causal Discovery for Geochemical Anomaly Recognition
    Zhixiang Liang, Yihui Xiong, Renguang Zuo · 2025 · Mathematical Geosciences
  68. Clothing Purification with Causality Meets Vision-Language Pretraining Models
    Zhengwei Yang, Huilin Zhu, Nan Lei, Basura Fernando, Zheng Wang · 2025 · International Journal of Computer Vision
  69. Variant Approach for Identifying Spurious Relations That Deep Learning Models Learn
    Tobias Tesch, Stefan J Kollet, Jochen Garcke · 2021 · Frontiers in Water
  70. A comparison of causal discovery and explainable AI (XAI) for image datasets
    Atul Rawal, Adrienne J. Raglin, Qianlong Wang, Ziying Tang · 2024 · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
  71. A Roadmap for Causality Research in Complex Adaptive Systems
    Samuel Reyd, Ada Diaconescu, Jean-Louis Dessalles, Lukas Esterle · 2024 · IEEE International Conference on Autonomic Computing and Self-Organizing Systems Companion (ACSOS-C)
  72. Quantifying the Impact of Data Sharing on Outbreak Dynamics (QIDSOD)
    Daniel Mietchen, Jundong Li · 2020 · Research Ideas and Outcomes
  73. Evaluating the effect of SARS-CoV-2 spike mutations with a linear doubly robust learner
    Xin Wang, Mingda Hu, Bo Liu, Huifang Xu, Yuan Jin, Boqian Wang, Yunxiang Zhao, Jun Wu, Junjie Yue, Hongguang Ren · 2023 · Frontiers in Cellular and Infection Microbiology
  74. Spatial–temporal Causal Fusion Graph Neural Networks for urban traffic prediction
    Nianwen Ning, Wenbo Zhang, Wei Li, Hengji Li, Yanyu Zhang, Yiqing Zhou, Fuqiang Liu · 2025 · Computer Networks
  75. Leveraging Causal Reasoning in Educational Data Mining: An Analysis of Brazilian Secondary Education
    Rogério Luiz Cardoso Silva Filho, Kellyton dos Santos Brito, Paulo J. L. Adeodato · 2023 · Applied Sciences
  76. Causality Analysis with Information Geometry: A Comparison
    Heng Jie Choong, Eun‐jin Kim, Fei He · 2023 · Entropy
  77. A causality-inspired data augmentation approach to cross-domain burr detection using randomly weighted shallow networks
    M. R. Rahul, Shital S. Chiddarwar · 2023 · International Journal of Machine Learning and Cybernetics
  78. Explainability and causality for robust, fair, and trustworthy artificial reasoning
    Atul Rawal, Adrienne J. Raglin, Brian M. Sadler, Danda B. Rawat · 2023 · Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications
  79. Causal Graph Discovery for Urban Bus Operation Delays: A Case Study in Stockholm
    Qi Zhang, Zhenliang Ma, Yancheng Ling, Zhenlin Qin, Pengfei Zhang, Zhan Zhao · 2025 · Transportation Research Record Journal of the Transportation Research Board
  80. Causality in Process Systems Engineering: Fundamentals, Applications, and Emerging Trends
    Rodrigo Paredes, Marco S. Reis · 2025 · Computers & Chemical Engineering
  81. Optimizing Occupant Actions to Enhance His Comfort While Reducing Energy Demand in Buildings
    Fateh Boulmaiz, Amr Alzouhri Alyafi, Stéphane Ploix, Patrick Reignier · 2021 · IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
  82. Causal discovery for fuzzy rule learning
    Lucie Kunitomo-Jacquin, Aurore Lomet, Jean-Philippe Poli · 2022 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  83. Effects of Multi-Aspect Online Reviews with Unobserved Confounders: Estimation and Implication
    Lu Cheng, Ruocheng Guo, Kasim Candan, Huan Liu · 2022 · Proceedings of the International AAAI Conference on Web and Social Media
  84. Leveraging Reward Consistency for Interpretable Feature Discovery in Reinforcement Learning
    Qisen Yang, Huanqian Wang, Mukun Tong, Wenjie Shi, Gao Ming Huang, Shiji Song · 2023 · IEEE Transactions on Systems Man and Cybernetics Systems
  85. Considerations for master protocols using external controls
    Jie Chen, Xiaoyun Li, Chengxing Cindy Lu, Sammy Yuan, Godwin Yung, Jingjing Ye, Hong Tian, Jianchang Lin · 2024 · Journal of Biopharmaceutical Statistics
  86. Direct Learning with Multi-task Neural Networks for Treatment Effect Estimation
    Fujin Zhu, Jie Lu B, Adi Lin, Junyu Xuan, Guangquan Zhang · 2021 · IEEE Transactions on Knowledge and Data Engineering
  87. Estimating Causal Effects of Multi-Aspect Online Reviews with Multi-Modal Proxies
    Lu Cheng, Ruocheng Guo, Huan Liu · 2022 · ACM International Conference on Web Search and Data Mining (WSDM)
  88. (Vision Paper) A Vision for Spatio-Causal Situation Awareness, Forecasting, and Planning
    Fahim Tasneema Azad, K. Selçuk Candan, Ahmet Kapkiç, Mao‐Lin Li, Huan Liu, Pratanu Mandal, Paras Sheth, Bilgehan Arslan, Gerardo Chowell, John L. Sabo et al. · 2024 · ACM Transactions on Spatial Algorithms and Systems
  89. Explain the World—Using Causality to Facilitate Better Rules for Fuzzy Systems
    Te Zhang, Christian Wagner, Jonathan M. Garibaldi · 2024 · IEEE Transactions on Fuzzy Systems
  90. Industrial Time Series Data-Driven Causal Delay Relationship Analysis for Complex Industrial Processes
    Hai-Bo Qiao, Yan‐Ning Sun, Lilan Liu, Zenggui Gao, Yong Yang, Hongwei Xu · 2024 · IEEE International Conference on Automation Science and Engineering (CASE)
  91. A Review of Causal Methods for High-Dimensional Data
    Zewude Alemayehu Berkessa, Esa Läärä, Patrik Waldmann · 2024 · IEEE Access
  92. Causal Learning in Question Quality Improvement
    Yichuan Li, Ruocheng Guo, Weiying Wang, Huan Liu · 2020 · Lecture notes in computer science
  93. Causality fields in nonlinear causal effect analysis
    Aiguo Wang, Li Liu, Jiaoyun Yang, Lian Li · 2022 · Frontiers of Information Technology & Electronic Engineering
  94. What Leads to Arrhythmia: Active Causal Representation Learning of ECG Classification
    Shaofei Shen, Weitong Chen, Miao Xu · 2022 · Lecture notes in computer science
  95. Towards Causal Fuzzy System Rules Using Causal Direction
    Te Zhang, Jingda Ying, Christian Wagner, Jonathan M. Garibaldi · 2023 · IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
  96. Design and Validation of Structural Causal Model: A Focus on EGRA Dataset
    Gabriel Terna Ayem, Özcan Asilkan, Aamo Iorliam · 2023 · Journal of Computing Theories and Applications
  97. Causality-Guided Stepwise Intervention and Reweighting for Remote Sensing Image Semantic Segmentation
    Shuting Shi, LI Bao-hong, Laifu Zhang, Kun Kuang, Sensen Wu, Tian Feng, Yiming Yan, Zhenhong Du · 2024 · IEEE Transactions on Geoscience and Remote Sensing
  98. Advances in Human Event Modeling: From Graph Neural Networks to Language Models
    Songgaojun Deng, Maarten de Rijke, Yue Ning · 2024 · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
  99. Best Of Both Worlds: System Thinking Approach for Transportation Data-Driven Decision-Making
    Keren Or Grinberg-Rosenbaum, Yoram Shiftan, Francisco C. Pereira, Bat-hen Nahmias–Biran · 2025 · Transportation research procedia
  100. Interpretable prediction of short-term load curve for extreme scenarios based on mixture of experts model
    Yaoxian Liu, Kaixin Zhang, Songsong Chen, Xiaorui Qian, Ying Zhou, Xiangpeng Zhan, Jingwen Chen · 2025 · Electric Power Systems Research