| From generation to judgment: opportunities and challenges of llm-as-a-judge D Li, B Jiang, L Huang, A Beigi, C Zhao, Z Tan, A Bhattacharjee, Y Jiang, ... EMNLP, 2025 | 1001* | 2025 |
| 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 | 639 | 2020 |
| Large language models for data annotation and synthesis: A survey Z Tan, D Li, S Wang, A Beigi, B Jiang, A Bhattacharjee, M Karami, J Li, ... EMNLP, 2024 | 415 | 2024 |
| Socially Responsible AI Algorithms: Issues, Purposes, and Challenges L Cheng, K Varshney, H Liu Journal of Artificial Intelligence Research (JAIR) 71, 1137-1181, 2021 | 374 | 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 | 153 | 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 | 127 | 2019 |
| Evaluation Methods and Measures for Causal Learning Algorithms L Cheng, R Guo, R Moraffah, P Sheth, KS Candan, H Liu IEEE TAI, 2022 | 117 | 2022 |
| 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 | 97 | 2021 |
| A Survey on Intersectional Fairness in Machine Learning: Notions, Mitigation, and Challenges U Gohar, L Cheng IJCAI, 2023 | 90 | 2023 |
| Llms assist nlp researchers: Critique paper (meta-) reviewing J Du, Y Wang, W Zhao, Z Deng, S Liu, R Lou, HP Zou, PN Venkit, ... EMNLP, 2024 | 71 | 2024 |
| 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 | 61 | 2021 |
| Improving cyberbullying detection with user interaction S Ge, L Cheng, H Liu Proceedings of the Web Conference 2021, 496-506, 2021 | 60 | 2021 |
| 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 | 54 | 2019 |
| Unsupervised cyberbullying detection via time-informed Gaussian mixture model L Cheng, K Shu, S Wu, YN Silva, DL Hall, H Liu CIKM, 2020 | 53 | 2020 |
| Conformal Prediction: A Data Perspective X Zhou*, B Chen*, Y Gui, L Cheng ACM Computing Survey, 2025 | 49 | 2025 |
| 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 | 49 | 2022 |
| Mitigating bias in session-based cyberbullying detection: A non-compromising approach L Cheng, A Mosallanezhad, Y Silva, D Hall, H Liu Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 47 | 2021 |
| Session-based cyberbullying detection: Problems and challenges L Cheng, YN Silva, D Hall, H Liu IEEE Internet Computing 25 (2), 66-72, 2020 | 47 | 2020 |
| 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 | 46 | 2021 |
| API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access J Su, J Luo, H Wang, L Cheng EMNLP, 2024 | 45 | 2024 |
Huan LiuRegents Professor, Arizona State UniversityVerified email at asu.edu
