Authors indicated with * are graduate or undergraduate students.
Working Papers
Zhang, Y., Li, Z.*, & Han, E. Distributionally Robust Optimization with Integer Recourse: Convex Reformulations and Critical Recourse Decisions. [PDF]
Liu, S. *, Zhang, Y., & Basciftci, B. Stochastic Bilevel Optimization for the Network Design of Multimodal Transit Systems with Heterogeneous Rider Preferences under Uncertain Travel Times and Demand.
Emami, BD.*, Khani, A., & Zhang, Y. Fleet Sizing and Scheduling of Battery Electric Buses with Limited Overnight Charging: A Spatial-Temporal-Soc Network Approach. [PDF]
Goyal, A.*, Zhang, Y., & Benjaafar, S. Crowdsourcing Last-Mile Delivery with Hybrid Fleets Under Uncertainties of Demand and Driver Supply: Optimizing Profitability and Service Level. [PDF]
Journal Papers
Emami, BD.*, Zhang, Y., Khani, A., & Song, Y. (2025). Towards an Efficient Electric Bus System: Multi-phase Optimization Model for Incremental Electrification of Bus Network with Uncertain Energy Consumption. Transportation Research Part C: Emerging Technologies, 173, 105011. [LINK] [PDF]
Zhang, Y. (2025). Integer Programming Approaches for Distributionally Robust Chance Constraints with Adjustable Risks. To appear in Computers & Operations Research. [LINK][PDF]
Yin, C.*, Zhang, Y., & Dong, J. (2024). Robust Bilevel Optimization Model for Distribution Network with Demand Response under Uncertain Renewables Using Wasserstein Metrics. To appear in IEEE Transactions on Sustainable Energy. [LINK][PDF]
Goyal, A.*, Zhang, Y., & He, C.* (2023). Decision Rule Approaches for Pessimistic Bilevel Linear Programs under Moment Ambiguity with Facility Location Applications. INFORMS Journal on Computing, 35(6), 1342-1360 [LINK][PDF]
Zhang, Y., Dong, J. (2022). Building Load Control using Distributionally Robust Chance-Constrained Programs with Right-Hand Side Uncertainty and the Risk-Adjustable Variants. INFORMS Journal on Computing, 34(3), 1531-1547. [LINK][PDF] [DATA]
Zhang, Y., Lu, M., Shen, S. (2020). On the values of vehicle-to-grid selling in electric vehicle sharing. Manufacturing & Service Operations Management, 23 (2) 488-507. [LINK][PDF]
Zhang, Y., Jiang, R., & Shen, S. (2018). Ambiguous chance-constrained binary programs, under mean-covariance information. SIAM Journal on Optimization, 28(4), 2922-2944. [LINK] [PDF]
Zhang, Y., Shen, S., & Erdogan, S. A. (2018). Solving 0-1 semidefinite programs for the distributionally robust allocation of surgery blocks. Optimization Letters, 12(7), 1503–1521. [LINK] [PDF]
Jiang, R., Shen, S., & Zhang, Y. (2017). Integer programming approaches for appointment scheduling with random no-shows and service durations. Operations Research, 65(6), 1638-1656. [LINK] [PDF]
Zhang, Y., Shen, S., & Erdogan, S. A. (2017). Distributionally robust appointment scheduling with moment-based ambiguity set. Operations Research Letters, 45(2), 139-144. [LINK]
Zhang, Y., Shen, S., & Mathieu, J. L. (2017). Distributionally robust chance-constrained optimal power flow with uncertain renewables and uncertain reserves provided by loads. IEEE Transactions on Power Systems, 32(2), 1378-1388. [LINK]
Conference Proceedings
Zhang, Y., Dong, J., Kuruganti, T., Shen, S., Xue, Y.. Distributionally robust building load control to compensate fluctuations in solar power generation. In American Control Conference (ACC), 2019 (pp. 5857-5863. ). IEEE. [LINK]
Zhang, Y., Shen, S., Li, B., & Mathieu, J. L. (2017, June). Two-stage distributionally robust optimal power flow with flexible loads. In PowerTech, 2017 IEEE Manchester (pp. 1-6). IEEE [LINK] [PDF]
Zhang, Y., Shen, S., & Mathieu, J. L. (2015, July). Data-driven optimization approaches for optimal power flow with uncertain reserves from load control. In American Control Conference (ACC), 2015 (pp. 3013-3018). IEEE. [LINK]