| 2024 | ACCV | Instance-Dependent Noise Refinement in Segment Anything Model for Weakly Supervised Object Detection. | Fariborz Taherkhani, Ehsan Kazemi |
| 2022 | AAAI | CTIN: Robust Contextual Transformer Network for Inertial Navigation. | Bingbing Rao, Ehsan Kazemi, Yifan Ding, Devu M. Shila, Frank M. Tucker, Liqiang Wang |
| 2021 | ICML | Regularized Submodular Maximization at Scale. | Ehsan Kazemi, Shervin Minaee, Moran Feldman, Amin Karbasi |
| 2020 | ICML | Streaming Submodular Maximization under a k-Set System Constraint. | Ran Haba, Ehsan Kazemi, Moran Feldman, Amin Karbasi |
| 2019 | AAAI | Asynchronous Delay-Aware Accelerated Proximal Coordinate Descent for Nonconvex Nonsmooth Problems. | Ehsan Kazemi, Liqiang Wang |
| 2019 | AAAI | Eliminating Latent Discrimination: Train Then Mask. | Soheil Ghili, Ehsan Kazemi, Amin Karbasi |
| 2019 | ICML | Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity. | Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi |
| 2018 | AISTATS | Comparison Based Learning from Weak Oracles. | Ehsan Kazemi, Lin Chen, Sanjoy Dasgupta, Amin Karbasi |
| 2018 | ICML | Scalable Deletion-Robust Submodular Maximization: Data Summarization with Privacy and Fairness Constraints. | Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi |
| 2018 | ICML | Data Summarization at Scale: A Two-Stage Submodular Approach. | Marko Mitrovic, Ehsan Kazemi, Morteza Zadimoghaddam, Amin Karbasi |