| 2023 | ICLR | Mind the Pool: Convolutional Neural Networks Can Overfit Input Size. | Bilal Alsallakh, David Yan, Narine Kokhlikyan, Vivek Miglani, Orion Reblitz-Richardson, Pamela Bhattacharya |
| 2023 | WWW | Learned Temporal Aggregations for Fraud Classification on E-Commerce Platforms. | Xiao Ling, David Yan, Bilal Alsallakh, Ashutosh Pandey, Manan Bakshi, Pamela Bhattacharya |
| 2022 | KDD | Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). | Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng |
| 2020 | COLING | ScopeIt: Scoping Task Relevant Sentences in Documents. | Barun Patra, Vishwas Suryanarayanan, Chala Fufa, Pamela Bhattacharya, Charles Lee |
| 2020 | EMNLP | To Schedule or not to Schedule: Extracting Task Specific Temporal Entities and Associated Negation Constraints. | Barun Patra, Chala Fufa, Pamela Bhattacharya, Charles Lee |
| 2013 | COMAD | Improving Cloud Availability with On-the-fly Schema Updates. | Iulian Neamtiu, Jonathan Bardin, Md. Reaz Uddin, Dien-Yen Lin, Pamela Bhattacharya |
| 2012 | ICSE | Graph-based analysis and prediction for software evolution. | Pamela Bhattacharya, Marios Iliofotou, Iulian Neamtiu, Michalis Faloutsos |
| 2012 | MSR | Mining challenge 2012: The Android platform. | Emad Shihab, Yasutaka Kamei, Pamela Bhattacharya |
| 2011 | ICSE | Using software evolution history to facilitate development and maintenance. | Pamela Bhattacharya |
| 2011 | ICSE | Assessing programming language impact on development and maintenance: a study on c and c++. | Pamela Bhattacharya, Iulian Neamtiu |
| 2011 | MSR | Bug-fix time prediction models: can we do better? | Pamela Bhattacharya, Iulian Neamtiu |