Guo, Ruocheng

A Survey of Learning Causality with Data: Problems and Methods

Guo, R., Cheng, L., Li, J., Hahn, P. R., & Liu, H. (2021) · ACM Computing Surveys

Bayesian Modeling and Causal InferenceAdvanced Causal Inference Techniques

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Causal interpretability for machine learning-problems, methods and evaluation

Moraffah, R., Karami, M., Guo, R., Raglin, A., & Liu, H. (2020) · ACM SIGKDD Explorations Newsletter

Explainable Artificial Intelligence (XAI)Bayesian Modeling and Causal Inference

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Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network

Cheng, L., Guo, R., Silva, Y., Hall, D., & Liu, H. (2019) · Proceedings of the 2019 SIAM International Conference on Data Mining

Hate Speech and Cyberbullying DetectionSpam and Phishing Detection

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Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning

Beigi, G., Mosallanezhad, A., Guo, R., Alvari, H., Nou, A., & Liu, H. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining

Privacy-Preserving Technologies in DataRecommender Systems and Techniques

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Modeling temporal patterns of cyberbullying detection with hierarchical attention networks

Cheng, L., Guo, R., Silva, Y. N., Hall, D., & Liu, H. (2021) · ACM/IMS Transactions on Data Science

Hate Speech and Cyberbullying DetectionBullying, Victimization, and Aggression

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