| 2026 | WWW | Causality Guided Representation Learning for Cross-Style Hate Speech Detection. | Chengshuai Zhao, Shu Wan, Paras Sheth, Karan Patwa, K. Seluk Candan, Huan Liu |
| 2026 | WSDM | Workshop on Benchmarking Causal Models (CausalBench). | K. Selcuk Candan, Huan Liu, Ruocheng Guo, Paras Sheth |
| 2026 | WSDM | Report on the Workshop on Benchmarking Causal Models (CausalBench) 2026. | K. Seluk Candan, Ruocheng Guo, Huan Liu, Paras Sheth |
| 2025 | CIKM | CausalBench-ER: Causally-Informed Explanations and Recommendations for Reproducible Benchmarking. | Ahmet Kapki, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul oban, Paras Sheth, Huan Liu, K. Seluk Candan |
| 2025 | KDD | CausalBench: Causal Learning Research Streamlined. | Ahmet Kapki, Pratanu Mandal, Abhinav Gorantla, Shu Wan, Ertugrul oban, Paras Sheth, Huan Liu, K. Seluk Candan |
| 2024 | CIKM | Introducing CausalBench: A Flexible Benchmark Framework for Causal Analysis and Machine Learning. | Ahmet Kapki, Pratanu Mandal, Shu Wan, Paras Sheth, Abhinav Gorantla, Yoonhyuk Choi, Huan Liu, K. Seluk Candan |
| 2024 | ICWSM | Exploring Platform Migration Patterns between Twitter and Mastodon: A User Behavior Study. | Ujun Jeong, Paras Sheth, Anique Tahir, Faisal Alatawi, H. Russell Bernard, Huan Liu |
| 2024 | WSDM | Causality Guided Disentanglement for Cross-Platform Hate Speech Detection. | Paras Sheth, Raha Moraffah, Tharindu S. Kumarage, Aman Chadha, Huan Liu |
| 2023 | CIKM | STREAMS: Towards Spatio-Temporal Causal Discovery with Reinforcement Learning for Streamflow Rate Prediction. | Paras Sheth, Ahmadreza Mosallanezhad, Kaize Ding, Reepal Shah, John Sabo, Huan Liu, K. Seluk Candan |
| 2023 | EMNLP | How Reliable Are AI-Generated-Text Detectors? An Assessment Framework Using Evasive Soft Prompts. | Tharindu Kumarage, Paras Sheth, Raha Moraffah, Joshua Garland, Huan Liu |
| 2023 | ICDM | Silence Speaks Volumes: Re-weighting Techniques for Under-Represented Users in Fake News Detection. | Mansooreh Karami, David Mosallanezhad, Paras Sheth, Huan Liu |
| 2022 | SISAP | Causal Disentanglement with Network Information for Debiased Recommendations. | Paras Sheth, Ruocheng Guo, Kaize Ding, Lu Cheng, K. Seluk Candan, Huan Liu |
| 2021 | CIKM | CauseBox: A Causal Inference Toolbox for BenchmarkingTreatment Effect Estimators with Machine Learning Methods. | Paras Sheth, Ujun Jeong, Ruocheng Guo, Huan Liu, K. Seluk Candan |
| 2021 | IJCAI | Causal Learning for Socially Responsible AI. | Lu Cheng, Ahmadreza Mosallanezhad, Paras Sheth, Huan Liu |