| 2025 | AISTATS | Graph Machine Learning based Doubly Robust Estimator for Network Causal Effects. | Seyedeh Baharan Khatami, Harsh Parikh, Haowei Chen, Sudeepa Roy, Babak Salimi |
| 2025 | AISTATS | Scalable Out-of-Distribution Robustness in the Presence of Unobserved Confounders. | Parjanya Prajakta Prashant, Seyedeh Baharan Khatami, Bruno Ribeiro, Babak Salimi |
| 2025 | ICDE | Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn. | Bojan Karlas, Babak Salimi, Sebastian Schelter |
| 2025 | SIGMOD | CausaLens: A System for Summarizing Causal DAGs. | Noam Chen, Anna Zeng, Michael J. Cafarella, Batya Kenig, Markos Markakis, Oren Mishali, Brit Youngmann, Babak Salimi |
| 2025 | SIGMOD | Zorro: Quantifying Uncertainty in Models & Predictions Arising from Dirty Data. | Kaiyuan Hu, Jiongli Zhu, Boris Glavic, Babak Salimi |
| 2025 | SIGMOD | Navigating Data Errors in Machine Learning Pipelines: Identify, Debug, and Learn. | Bojan Karlas, Babak Salimi, Sebastian Schelter |
| 2024 | CVPR | Enforcing Conditional Independence for Fair Representation Learning and Causal Image Generation. | Jensen Hwa, Qingyu Zhao, Aditya Lahiri, Adnan Masood, Babak Salimi, Ehsan Adeli |
| 2024 | SIGMOD | First Workshop on Governance, Understanding and Integration of Data for Effective and Responsible AI (GUIDE-AI). | Abolfazl Asudeh, Sainyam Galhotra, Amir Gilad, Babak Salimi, Brit Youngmann |
| 2024 | VLDB | DEMA: Enhancing Causal Analysis through Data Enrichment and Discovery in Data Lakes. | Kayvon Heravi, Saathvik Dirisala, Babak Salimi |
| 2023 | ICDE | Causal What-If and How-To Analysis Using HypeR. | Fangzhu Shen, Kayvon Heravi, Oscar Gomez, Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi |
| 2023 | ICDE | On Explaining Confounding Bias. | Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi |
| 2023 | SIGMOD | NEXUS: On Explaining Confounding Bias. | Brit Youngmann, Michael J. Cafarella, Yuval Moskovitch, Babak Salimi |
| 2023 | SACMAT | SAFE-PASS: Stewardship, Advocacy, Fairness and Empowerment in Privacy, Accountability, Security, and Safety for Vulnerable Groups. | Indrajit Ray, Bhavani Thuraisingham, Jaideep Vaidya, Sharad Mehrotra, Vijayalakshmi Atluri, Indrakshi Ray, Murat Kantarcioglu, Ramesh Raskar, Babak Salimi, Steve Simske, Nalini Venkatasubramanian, Vivek K. Singh |
| 2022 | ICDE | Explainable AI: Foundations, Applications, Opportunities for Data Management Research. | Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi |
| 2022 | SIGMOD | HypeR: Hypothetical Reasoning With What-If and How-To Queries Using a Probabilistic Causal Approach. | Sainyam Galhotra, Amir Gilad, Sudeepa Roy, Babak Salimi |
| 2022 | SIGMOD | Through the Data Management Lens: Experimental Analysis and Evaluation of Fair Classification. | Maliha Tashfia Islam, Anna Fariha, Alexandra Meliou, Babak Salimi |
| 2022 | SIGMOD | Explainable AI: Foundations, Applications, Opportunities for Data Management Research. | Romila Pradhan, Aditya Lahiri, Sainyam Galhotra, Babak Salimi |
| 2022 | SIGMOD | Interpretable Data-Based Explanations for Fairness Debugging. | Romila Pradhan, Jiongli Zhu, Boris Glavic, Babak Salimi |
| 2022 | SIGMOD | Generating Interpretable Data-Based Explanations for Fairness Debugging using Gopher. | Jiongli Zhu, Romila Pradhan, Boris Glavic, Babak Salimi |
| 2021 | SIGMOD | Explaining Black-Box Algorithms Using Probabilistic Contrastive Counterfactuals. | Sainyam Galhotra, Romila Pradhan, Babak Salimi |
| 2020 | SIGMOD | Mining Approximate Acyclic Schemes from Relations. | Batya Kenig, Pranay Mundra, Guna Prasaad, Babak Salimi, Dan Suciu |
| 2020 | SIGMOD | Causal Relational Learning. | Babak Salimi, Harsh Parikh, Moe Kayali, Lise Getoor, Sudeepa Roy, Dan Suciu |
| 2019 | SIGMOD | Interventional Fairness: Causal Database Repair for Algorithmic Fairness. | Babak Salimi, Luke Rodriguez, Bill Howe, Dan Suciu |
| 2018 | SIGMOD | Bias in OLAP Queries: Detection, Explanation, and Removal. | Babak Salimi, Johannes Gehrke, Dan Suciu |
| 2018 | VLDB | MobilityMirror: Bias-Adjusted Transportation Datasets. | Luke Rodriguez, Babak Salimi, Haoyue Ping, Julia Stoyanovich, Bill Howe |
| 2017 | SIGMOD | A Demonstration of Interactive Analysis of Performance Measurements with Viska. | Helga Gudmundsdottir, Babak Salimi, Magdalena Balazinska, Dan R. K. Ports, Dan Suciu |
| 2016 | FlAIRS | Causes for Query Answers from Databases, Datalog Abduction and View-Updates: The Presence of Integrity Constraints. | Babak Salimi, Leopoldo E. Bertossi |
| 2015 | ICDT | From Causes for Database Queries to Repairs and Model-Based Diagnosis and Back. | Babak Salimi, Leopoldo E. Bertossi |
| 2015 | UAI | Query-Answer Causality in Databases: Abductive Diagnosis and View Updates. | Babak Salimi, Leopoldo E. Bertossi |
| 1990 | ICCAD | On the Diagnostic Resolution of Signature Analysis. | Janusz Rajski, Jerzy Tyszer, Babak Salimi |