| 2025 | AIES | A Comprehensive Evaluation of the Sensitivity of Density-Ratio Estimation Based Fairness Measurement in Regression. | Abdalwahab Almajed, Maryam Tabar, Peyman Najafirad |
| 2025 | VR | Investigating the Potential of Multi-Task Learning for Enhancing SSQ Prediction. | Anjan Kumar Dev, Purnata Saha, Jyotirmay Nag Setu, Samuel Ang, John Quarles, Maryam Tabar |
| 2025 | WSDM | Predicting Eviction Status Using Airbnb Data in the Absence of Ground-Truth Eviction Records. | Maryam Tabar, Anusha Abdulla, J. Andrew Petersen, Dongwon Lee |
| 2022 | AAAI | Mitigating Low Agricultural Productivity of Smallholder Farms in Africa: Time-Series Forecasting for Environmental Stressors. | Maryam Tabar, Dongwon Lee, David P. Hughes, Amulya Yadav |
| 2022 | CIKM | WARNER: Weakly-Supervised Neural Network to Identify Eviction Filing Hotspots in the Absence of Court Records. | Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee |
| 2022 | IJCAI | Forecasting the Number of Tenants At-Risk of Formal Eviction: A Machine Learning Approach to Inform Public Policy. | Maryam Tabar, Wooyong Jung, Amulya Yadav, Owen Wilson Chavez, Ashley Flores, Dongwon Lee |
| 2021 | KDD | A PLAN for Tackling the Locust Crisis in East Africa: Harnessing Spatiotemporal Deep Models for Locust Movement Forecasting. | Maryam Tabar, Jared Gluck, Anchit Goyal, Fei Jiang, Derek Morr, Annalyse Kehs, Dongwon Lee, David P. Hughes, Amulya Yadav |
| 2020 | KDD | DETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation. | Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee |
| 2020 | KDD | Identifying Homeless Youth At-Risk of Substance Use Disorder: Data-Driven Insights for Policymakers. | Maryam Tabar, Heesoo Park, Stephanie Winkler, Dongwon Lee, Anamika Barman-Adhikari, Amulya Yadav |