| 2025 | COLING | PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent. | Jiateng Liu, Lin Ai, Zizhou Liu, Payam Karisani, Zheng Hui, Yi Fung, Preslav Nakov, Julia Hirschberg, Heng Ji |
| 2024 | KDD | Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. | Amin Karimi Monsefi, Payam Karisani, Mengxi Zhou, Stacey Choi, Nathan Doble, Heng Ji, Srinivasan Parthasarathy, Rajiv Ramnath |
| 2024 | NAACL | Fact Checking Beyond Training Set. | Payam Karisani, Heng Ji |
| 2024 | NAACL | Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences. | Hongyi Liu, Qingyun Wang, Payam Karisani, Heng Ji |
| 2023 | ACL | Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets. | Payam Karisani |
| 2022 | AAAI | Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers. | Payam Karisani |
| 2022 | EMNLP | Multi-View Active Learning for Short Text Classification in User-Generated Data. | Payam Karisani, Negin Karisani, Li Xiong |
| 2021 | WSDM | Semi-Supervised Text Classification via Self-Pretraining. | Payam Karisani, Negin Karisani |
| 2020 | WWW | Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media. | Payam Karisani, Joyce C. Ho, Eugene Agichtein |
| 2018 | WWW | Did You Really Just Have a Heart Attack?: Towards Robust Detection of Personal Health Mentions in Social Media. | Payam Karisani, Eugene Agichtein |