| Efficient phase-factor evaluation in quantum signal processing Y Dong, X Meng, KB Whaley, L Lin Physical Review A 103 (4), 042419, 2021 | 133 | 2021 |
| Robust control optimization for quantum approximate optimization algorithms Y Dong, X Meng, L Lin, R Kosut, KB Whaley IFAC-PapersOnLine 53 (2), 242-249, 2020 | 30 | 2020 |
| Fast as chita: Neural network pruning with combinatorial optimization R Benbaki, W Chen, X Meng, H Hazimeh, N Ponomareva, Z Zhao, ... International Conference on Machine Learning, 2031-2049, 2023 | 29 | 2023 |
| Quant-BnB: A scalable branch-and-bound method for optimal decision trees with continuous features R Mazumder, X Meng, H Wang International Conference on Machine Learning, 15255-15277, 2022 | 24 | 2022 |
| An exact penalty approach for optimization with nonnegative orthogonality constraints B Jiang, X Meng, Z Wen, X Chen Mathematical Programming 198 (1), 855-897, 2023 | 23 | 2023 |
| Osscar: One-shot structured pruning in vision and language models with combinatorial optimization X Meng, S Ibrahim, K Behdin, H Hazimeh, N Ponomareva, R Mazumder arXiv preprint arXiv:2403.12983, 2024 | 7 | 2024 |
| Alps: Improved optimization for highly sparse one-shot pruning for large language models X Meng, K Behdin, H Wang, R Mazumder arXiv preprint arXiv:2406.07831, 2024 | 6 | 2024 |
| Network pruning at scale: A discrete optimization approach W Chen, R Benbaki, X Meng, R Mazumder OPT 2022: Optimization for Machine Learning (NeurIPS 2022 Workshop), 2022 | 3 | 2022 |
| Falcon: Flop-aware combinatorial optimization for neural network pruning X Meng, W Chen, R Benbaki, R Mazumder International Conference on Artificial Intelligence and Statistics, 4384-4392, 2024 | 2 | 2024 |
Rahul MazumderMassachusetts Institute of TechnologyE-mail confirmado em mit.edu