| A survey of learning causality with data: Problems and methods R Guo, L Cheng, J Li, PR Hahn, H Liu ACM Computing Surveys (CSUR) 53 (4), 1-37, 2020 | 370 | 2020 |
| Causal Interpretability for Machine Learning--Problems, Methods and Evaluation R Moraffah, M Karami, R Guo, A Raglin, H Liu ACM SIGKDD Explorations Newsletter, 2020 | 189 | 2020 |
| Hierarchical Attention Networks for Cyberbullying Detection on the Instagram Social Network L Cheng, R Guo, Y Silva, D Hall, H Liu Proceedings of the 2019 SIAM International Conference on Data Mining, 2019 | 93 | 2019 |
| Learning Individual Causal Effects from Networked Observational Data R Guo, J Li, H Liu Proceedings of the 13th ACM International Conference on Web Search and Data …, 2019 | 87 | 2019 |
| The independent cascade and linear threshold models P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo, P Shakarian, ... Diffusion in Social Networks, 35-48, 2015 | 75 | 2015 |
| Diffusion in social networks P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo Springer International Publishing, 2015 | 74 | 2015 |
| Privacy-aware recommendation with private-attribute protection using adversarial learning G Beigi, A Mosallanezhad, R Guo, H Alvari, A Nou, H Liu Proceedings of the 13th International Conference on Web Search and Data …, 2020 | 68 | 2020 |
| Causal understanding of fake news dissemination on social media L Cheng, R Guo, K Shu, H Liu Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 45 | 2021 |
| Learning Fair Node Representations with Graph Counterfactual Fairness J Ma, R Guo, M Wan, L Yang, A Zhang, J Li Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022 | 42 | 2022 |
| Debiasing grid-based product search in e-commerce R Guo, X Zhao, A Henderson, L Hong, H Liu Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 38 | 2020 |
| Protecting user privacy: An approach for untraceable web browsing history and unambiguous user profiles G Beigi, R Guo, A Nou, Y Zhang, H Liu Proceedings of the twelfth ACM international conference on web search and …, 2019 | 38 | 2019 |
| INITIATOR: Noise-contrastive Estimation for Marked Temporal Point Process R Guo, J Li, H Liu Proceedings of the 27th International Joint Conference on Artificial …, 2018 | 38 | 2018 |
| Multi-level network embedding with boosted low-rank matrix approximation J Li, L Wu, R Guo, C Liu, H Liu Proceedings of the 2019 IEEE/ACM international conference on advances in …, 2019 | 37 | 2019 |
| Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects V Rakesh, R Guo, R Moraffah, N Agarwal, H Liu ACM International Conference on Information and Knowledge Management, 1679-1682, 2018 | 36 | 2018 |
| Adaptive unsupervised feature selection on attributed networks J Li, R Guo, C Liu, H Liu Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019 | 33 | 2019 |
| Out-of-distribution prediction with invariant risk minimization: The limitation and an effective fix R Guo, P Zhang, H Liu, E Kiciman arXiv preprint arXiv:2101.07732, 2021 | 31 | 2021 |
| Graph Few-shot Class-incremental Learning Z Tan, K Ding, R Guo, H Liu Proceedings of the 15th ACM International Conference on Web Search and Data …, 2022 | 30 | 2022 |
| Using network motifs to characterize temporal network evolution leading to diffusion inhibition S Sarkar, R Guo, P Shakarian Social Network Analysis and Mining 9, 1-24, 2019 | 30 | 2019 |
| Privacy preserving text representation learning G Beigi, K Shu, R Guo, S Wang, H Liu Proceedings of the 30th ACM Conference on Hypertext and Social Media, 275-276, 2019 | 29 | 2019 |
| Robust cyberbullying detection with causal interpretation L Cheng, R Guo, H Liu Companion Proceedings of The 2019 World Wide Web Conference, 169-175, 2019 | 29 | 2019 |
Huan LiuRegents Professor, Arizona State UniversityVerified email at asu.edu
