| 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 | 482 | 2020 |
| Socially Responsible AI Algorithms: Issues, Purposes, and Challenges L Cheng, K Varshney, H Liu Journal of Artificial Intelligence Research (JAIR) 71, 1137-1181, 2021 | 188 | 2021 |
| Xbully: Cyberbullying detection within a multi-modal context L Cheng, J Li, YN Silva, DL Hall, H Liu Proceedings of the twelfth acm international conference on web search and …, 2019 | 121 | 2019 |
| 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, 235-243, 2019 | 105 | 2019 |
| 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 | 69 | 2021 |
| Evaluation Methods and Measures for Causal Learning Algorithms L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu IEEE TAI, 2022 | 63 | 2022 |
| Large language models for data annotation: A survey Z Tan*, D Li*, S Wang*, A Beigi, AB Bohan Jiang, M Karami, J Li, L Cheng, ... EMNLP, 2024 | 47 | 2024 |
| Unsupervised cyberbullying detection via time-informed Gaussian mixture model L Cheng, K Shu, S Wu, YN Silva, DL Hall, H Liu arXiv preprint arXiv:2008.02642, 2020 | 43 | 2020 |
| PI-bully: Personalized cyberbullying detection with peer influence L Cheng, J Li, Y Silva, D Hall, H Liu The 28th International Joint Conference on Artificial Intelligence (IJCAI), 2019 | 43 | 2019 |
| Mitigating bias in session-based cyberbullying detection: A non-compromising approach L Cheng, A Mosallanezhad, YN Silva, DL Hall, H Liu The Joint Conference of the 59th Annual Meeting of the Association for …, 2021 | 40 | 2021 |
| Improving cyberbullying detection with user interaction S Ge, L Cheng, H Liu Proceedings of the Web Conference 2021, 496-506, 2021 | 37 | 2021 |
| Modeling temporal patterns of cyberbullying detection with hierarchical attention networks L Cheng, R Guo, YN Silva, D Hall, H Liu ACM/IMS Transactions on Data Science 2 (2), 1-23, 2021 | 34 | 2021 |
| Session-based cyberbullying detection: Problems and challenges L Cheng, YN Silva, D Hall, H Liu IEEE Internet Computing 25 (2), 66-72, 2020 | 34 | 2020 |
| A survey on echo chambers on social media: Description, detection and mitigation F Alatawi, L Cheng, A Tahir, M Karami, B Jiang, T Black, H Liu arXiv preprint arXiv:2112.05084, 2021 | 33 | 2021 |
| Robust cyberbullying detection with causal interpretation L Cheng, R Guo, H Liu Companion Proceedings of The 2019 World Wide Web Conference, 169-175, 2019 | 32 | 2019 |
| A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges U Gohar, L Cheng IJCAI, 2023 | 28 | 2023 |
| The carbon border adjustment mechanism is inefficient in addressing carbon leakage and results in unfair welfare losses X Sun, Z Mi, L Cheng, DM Coffman, Y Liu Fundamental Research 4 (3), 660-670, 2024 | 26 | 2024 |
| Nothing Stands Alone: Relational Fake News Detection with Hypergraph Neural Networks U Jeong, K Ding, L Cheng, R Guo, K Shu, H Liu IEEE Big Data, 2022 | 25 | 2022 |
| Learning Privacy-Preserving Graph Convolutional Network with Partially Observed Sensitive Attributes H Hu, L Cheng, J Vap, M Borowczak The Web Conference, 2022 | 22 | 2022 |
| Mechanisms and attributes of echo chambers in social media B Jiang, M Karami, L Cheng, T Black, H Liu SBP-BRiMS Working Paper, 2021 | 22 | 2021 |
Huan LiuRegents Professor, Arizona State UniversityVerified email at asu.edu
