| 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 | 532 | 2020 |
| Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment Y Liu, Y Yao, JF Ton, X Zhang, R Guo, H Cheng, Y Klochkov, MF Taufiq, ... arXiv preprint arXiv:2308.05374, 2023 | 275 | 2023 |
| Causal Interpretability for Machine Learning--Problems, Methods and Evaluation R Moraffah, M Karami, R Guo, A Raglin, H Liu ACM SIGKDD Explorations Newsletter, 2020 | 268 | 2020 |
| 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 …, 2020 | 134 | 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 | 116 | 2019 |
| Large language models for data annotation: A survey Z Tan, A Beigi, S Wang, R Guo, A Bhattacharjee, B Jiang, M Karami, J Li, ... arXiv preprint arXiv:2402.13446, 2024 | 108 | 2024 |
| 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 | 98 | 2022 |
| 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 | 97 | 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 | 92 | 2020 |
| Diffusion in social networks P Shakarian, A Bhatnagar, A Aleali, E Shaabani, R Guo Springer International Publishing, 2015 | 82 | 2015 |
| 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 | 78 | 2021 |
| Evaluation methods and measures for causal learning algorithms L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu IEEE Transactions on Artificial Intelligence 3 (6), 924-943, 2022 | 71 | 2022 |
| 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 | 69 | 2022 |
| CLEAR: Generative Counterfactual Explanations on Graphs J Ma, R Guo, S Mishra, A Zhang, J Li Advances in Neural Information Processing Systems (NeurIPS), 2022 | 64 | 2022 |
| MLP4Rec: A Pure MLP Architecture for Sequential Recommendations M Li, X Zhao, C Lyu, M Zhao, R Wu, R Guo International Joint Conference on Artificial Intelligence (IJCAI), 2022 | 63 | 2022 |
| 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 | 52 | 2019 |
| 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 | 51 | 2020 |
| 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 | 49 | 2018 |
| AutoMLP: Automated MLP for Sequential Recommendations M Li, Z Zhang, X Zhao, W Wang, M Zhao, R Wu, R Guo Proceedings of the ACM Web Conference 2023, 2023 | 48 | 2023 |
| 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 | 47 | 2019 |
Huan LiuRegents Professor, Arizona State Universityasu.edu의 이메일 확인됨