Publications

Merve Bodur, Mucahit Cevik, Andre Cire, Mark Ruschin, Juyoung Wang (surname-based ordering of the authorship) (2022). Multistage Stochastic Fractionated Intensity Modulated Radiation Therapy Planning. Major revision in Computers and Operations Research.

Cite Link

Ozan Ozyegen, Juyoung Wang, Mucahit Cevik (2022). DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting. To be submitted.*.

Cite

Cheng Chi, Amine Mohamed Aboussalah, Elias B Khalil, Juyoung Wang, Zoha Sherkat-Masoumi (2022). A Deep Reinforcement Learning Framework For Column Generation. Proceedings of the 36th Annual Conference on Advances in Neural Information Processing Systems (NeurIPS 2022).

Cite Link

Juyoung Wang, Mucahit Cevik, Merve Bodur (2021). On the impact of deep learning-based time-series forecasts on multistage stochastic programming policies. INFOR: Information Systems and Operational Research.

Cite Link

Juyoung Wang (2021). Multistage stochastic programming combined with deep learning-based time series forecasting: new methodologies and applications.

Cite Link

Juyoung Wang, Mucahit Cevik, Saman Hassanzadeh Amin, Amir Ali Parsaee (2021). Mixed-integer linear programming models for the paint waste management problem. Transportation Research Part E: Logistics and Transportation Review.

Cite Link