| Online peak-aware energy scheduling with untrusted advice R Lee, J Maghakian, M Hajiesmaili, J Li, R Sitaraman, Z Liu ACM SIGENERGY Energy Informatics Review 1 (1), 59-77, 2021 | 22 | 2021 |
| Pareto-optimal learning-augmented algorithms for online conversion problems B Sun, R Lee, M Hajiesmaili, A Wierman, D Tsang Advances in Neural Information Processing Systems 34, 10339-10350, 2021 | 21 | 2021 |
| Learning-assisted competitive algorithms for peak-aware energy scheduling R Lee, MH Hajiesmaili, J Li arXiv preprint arXiv:1911.07972, 2019 | 13 | 2019 |
| Pareto-optimal learning-augmented algorithms for online k-search problems R Lee, B Sun, J Lui, M Hajiesmaili arXiv preprint arXiv:2211.06567, 2022 | 4 | 2022 |
| Leveraging different types of predictors for online optimization J Maghakian, R Lee, M Hajiesmaili, J Li, Z Liu, R Sitaraman 2021 55th Annual Conference on Information Sciences and Systems (CISS), 1-1, 2021 | 2 | 2021 |
| Online Search with Predictions: Pareto-optimal Algorithm and its Applications in Energy Markets R Lee, B Sun, M Hajiesmaili, JCS Lui The 15th ACM International Conference on Future and Sustainable Energy …, 2024 | 1 | 2024 |
| Applied online algorithms with heterogeneous predictors J Maghakian, R Lee, M Hajiesmaili, J Li, R Sitaraman, Z Liu International Conference on Machine Learning, 23484-23497, 2023 | 1 | 2023 |
| Competitive bidding strategies for online linear optimization with inventory management constraints R Lee, Y Zhou, L Yang, M Hajiesmaili, R Sitaraman ACM SIGMETRICS Performance Evaluation Review 49 (3), 6-7, 2022 | 1 | 2022 |
| Applied Learning-Augmented Algorithms with Heterogeneous Predictors J MAGHAKIAN, R LEE, M HAJIESMAILI, J LI, R SITARAMAN, Z LIU | | 2023 |
