| Mixed-integer linear programming models for the paint waste management problem J Wang, M Cevik, SH Amin, AA Parsaee Transportation Research Part E: Logistics and Transportation Review 151, 102343, 2021 | 25 | 2021 |
| A Deep Reinforcement Learning Framework For Column Generation C Chi, AM Aboussalah, EB Khalil, J Wang, Z Sherkat-Masoumi Proceedings of the 36th Annual Conference on Advances in Neural Information …, 2022 | 19 | 2022 |
| On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies J Wang, M Cevik, M Bodur INFOR: Information Systems and Operational Research 60 (2), 133-164, 2022 | 10 | 2022 |
| Multistage stochastic fractionated intensity modulated radiation therapy planning M Bodur, M Cevik, AA Cire, M Ruschin, J Wang Computers & Operations Research 160, 106371, 2023 | 1 | 2023 |
| DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting O Ozyegen, J Wang, M Cevik arXiv preprint arXiv:2301.02332, 2023 | | 2023 |
| Multistage Stochastic Programming Combined with Deep Learning-based Time series Forecasting: New Methodologies and Applications J Wang University of Toronto, 2021 | | 2021 |
