| 2025 | AIES | Demographic-Agnostic Fairness Without Harm. | Zhongteng Cai, Mohammad Mahdi Khalili, Xueru Zhang |
| 2025 | AISTATS | Post-processing for Fair Regression via Explainable SVD. | Zhiqun Zuo, Ding Zhu, Mohammad Mahdi Khalili |
| 2025 | NAACL | Neuroplasticity and Corruption in Model Mechanisms: A Case Study Of Indirect Object Identification. | Vishnu Kabir Chhabra, Ding Zhu, Mohammad Mahdi Khalili |
| 2024 | AISTATS | Imposing Fairness Constraints in Synthetic Data Generation. | Mahed Abroshan, Andrew Elliott, Mohammad Mahdi Khalili |
| 2024 | UAI | Privacy-Aware Randomized Quantization via Linear Programming. | Zhongteng Cai, Xueru Zhang, Mohammad Mahdi Khalili |
| 2023 | AAAI | Symbolic Metamodels for Interpreting Black-Boxes Using Primitive Functions. | Mahed Abroshan, Saumitra Mishra, Mohammad Mahdi Khalili |
| 2023 | ICML | Loss Balancing for Fair Supervised Learning. | Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan |
| 2022 | AISTATS | An Information-theoretical Approach to Semi-supervised Learning under Covariate-shift. | Gholamali Aminian, Mahed Abroshan, Mohammad Mahdi Khalili, Laura Toni, Miguel R. D. Rodrigues |
| 2022 | ICDM | Towards Fair Representation Learning in Knowledge Graph with Stable Adversarial Debiasing. | Yihe Wang, Mohammad Mahdi Khalili, Xiang Zhang |
| 2022 | ICML | Fairness Interventions as (Dis)Incentives for Strategic Manipulation. | Xueru Zhang, Mohammad Mahdi Khalili, Kun Jin, Parinaz Naghizadeh, Mingyan Liu |
| 2021 | AAAI | Improving Fairness and Privacy in Selection Problems. | Mohammad Mahdi Khalili, Xueru Zhang, Mahed Abroshan, Somayeh Sojoudi |
| 2021 | INFOCOM | Trading Privacy through Randomized Response. | Mohammad Mahdi Khalili, Iman Vakilinia |
| 2018 | ICML | Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms. | Xueru Zhang, Mohammad Mahdi Khalili, Mingyan Liu |
| 2015 | INFOCOM | Incentive design and market evolution of mobile user-provided networks. | Mohammad Mahdi Khalili, Lin Gao, Jianwei Huang, Babak Hossein Khalaj |