| 2022 | BMVC | Shifting Transformation Learning for Robust Out-of-Distribution Detection. | Sina Mohseni, Arash Vahdat, Jay Yadawa |
| 2021 | ICWSM | Machine Learning Explanations to Prevent Overtrust in Fake News Detection. | Sina Mohseni, Fan Yang, Shiva K. Pentyala, Mengnan Du, Yi Liu, Nic Lupfer, Xia Hu, Shuiwang Ji, Eric D. Ragan |
| 2021 | IUI | Quantitative Evaluation of Machine Learning Explanations: A Human-Grounded Benchmark. | Sina Mohseni, Jeremy E. Block, Eric D. Ragan |
| 2020 | AAAI | Practical Solutions for Machine Learning Safety in Autonomous Vehicles. | Sina Mohseni, Mandar Pitale, Vasu Singh, Zhangyang Wang |
| 2020 | AAAI | Self-Supervised Learning for Generalizable Out-of-Distribution Detection. | Sina Mohseni, Mandar Pitale, J. B. S. Yadawa, Zhangyang Wang |
| 2019 | AIES | Toward Design and Evaluation Framework for Interpretable Machine Learning Systems. | Sina Mohseni |
| 2019 | HCOMP | The Effects of Meaningful and Meaningless Explanations on Trust and Perceived System Accuracy in Intelligent Systems. | Mahsan Nourani, Samia Kabir, Sina Mohseni, Eric D. Ragan |
| 2019 | WWW | XFake: Explainable Fake News Detector with Visualizations. | Fan Yang, Shiva K. Pentyala, Sina Mohseni, Mengnan Du, Hao Yuan, Rhema Linder, Eric D. Ragan, Shuiwang Ji, Xia (Ben) Hu |
| 2014 | ICPR | Facial Expression Recognition Using Facial Graph. | Sina Mohseni, Niloofar Zarei, Ehsan Miandji, Gholamreza Ardeshir |
| 2014 | SMC | Facial expression recognition using anatomy based facial graph. | Sina Mohseni, Niloofar Zarei, Saba Ramazani |