University of Tehran at RepLab 2014. - Abolfazl AleAhmad; Payam Karisani; Masoud Rahgozar; Farhad Oroumchian (CLEF (Working Notes), 2014)

Tweet Expansion Method for Filtering Task in Twitter. - Payam Karisani; Farhad Oroumchian; Maseud Rahgozar (CLEF, 2015)

A query term re-weighting approach using document similarity. - Payam Karisani; Maseud Rahgozar; Farhad Oroumchian (Inf. Process. Manag., 2016)

OLFinder: Finding opinion leaders in online social networks. - Abolfazl AleAhmad; Payam Karisani; Maseud Rahgozar; Farhad Oroumchian (J. Inf. Sci., 2016)

Did You Really Just Have a Heart Attack?: Towards Robust Detection of Personal Health Mentions in Social Media. - Payam Karisani; Eugene Agichtein (WWW, 2018)

Probabilistic and machine learning-based retrieval approaches for biomedical dataset retrieval. - Payam Karisani; Zhaohui S. Qin; Eugene Agichtein (Database J. Biol. Databases Curation, 2018)

Domain-Guided Task Decomposition with Self-Training for Detecting Personal Events in Social Media. - Payam Karisani; Joyce C. Ho; Eugene Agichtein (WWW, 2020)

Mining Coronavirus (COVID-19) Posts in Social Media. - Negin Karisani; Payam Karisani (CoRR, 2020)

View Distillation with Unlabeled Data for Extracting Adverse Drug Effects from User-Generated Data. - Payam Karisani; Jinho D. Choi; Li Xiong 001 (SMM4H@NAACL-HLT, 2021)

Semi-Supervised Text Classification via Self-Pretraining. - Payam Karisani; Negin Karisani (WSDM, 2021)

Contextual Multi-View Query Learning for Short Text Classification in User-Generated Data. - Payam Karisani; Negin Karisani; Li Xiong 001 (CoRR, 2021)

Multiple-Source Domain Adaptation via Coordinated Domain Encoders and Paired Classifiers. - Payam Karisani (AAAI, 2022)

Multi-View Active Learning for Short Text Classification in User-Generated Data. - Payam Karisani; Negin Karisani; Li Xiong 001 (EMNLP (Findings), 2022)

Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting. - Chen Lin; Safoora Yousefi; Elvis Kahoro; Payam Karisani; Donghai Liang; Jeremy Sarnat; Eugene Agichtein (CoRR, 2022)

Neural Networks Against (and For) Self-Training: Classification with Small Labeled and Large Unlabeled Sets. - Payam Karisani (ACL (Findings), 2023)

Ericson: An Interactive Open-Domain Conversational Search Agent. - Zihao Wang; Ali Ahmadvand; Jason Ingyu Choi; Payam Karisani; Eugene Agichtein (CoRR, 2023)

Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain. - Amin Karimi Monsefi; Payam Karisani; Mengxi Zhou; Stacey Choi; Nathan Doble; Heng Ji 001; Srinivasan Parthasarathy 001; Rajiv Ramnath (KDD, 2024)

Fact Checking Beyond Training Set. - Payam Karisani; Heng Ji (NAACL-HLT, 2024)

Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences. - Hongyi Liu; Qingyun Wang 005; Payam Karisani; Heng Ji 001 (NAACL-HLT, 2024)

Name Tagging Under Domain Shift via Metric Learning for Life Sciences. - Hongyi Liu; Qingyun Wang 005; Payam Karisani; Heng Ji 001 (CoRR, 2024)

PropaInsight: Toward Deeper Understanding of Propaganda in Terms of Techniques, Appeals, and Intent. - Jiateng Liu; Lin Ai; Zizhou Liu; Payam Karisani; Zheng Hui; May Fung; Preslav Nakov; Julia Hirschberg; Heng Ji 001 (CoRR, 2024)

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 001; Preslav Nakov; Julia Hirschberg; Heng Ji 001 (COLING, 2025)