Jianqiang Cheng

Chapters

• Fathabad, A. M., Cheng, J., & Pan, K. (2021). Integrated power transmission and distribution systems. In Renewable-Energy-Driven Future(pp 169--199). Academic Press.

Journals/Publications

• Cheng, J., Kosuch, S., & Lisser, A. (2022). Restricted Shortest Path Problems with Uncertain Delays.
• Lisser, A., Cheng, J., & Houda, M. (2022). Elliptically distributed joint probabilistic constraints.
• Cheramin, M., Chen, R. L., Cheng, J., & Pinar, A. (2021). Data-Driven Robust Optimization Using Scenario-Induced Uncertainty Sets. arXiv preprint arXiv:2107.04977.
• Cheramin, M., Cheng, J., Jiang, R., & Pan, K. (2021). Computationally Efficient Approximations for Distributionally Robust Optimization under Moment and Wasserstein Ambiguity. INFORMS Journal on Computing.
• Cheramin, M., Saha, A. K., Cheng, J., Paul, S. K., & Jin, H. (2021). Resilient NdFeB magnet recycling under the impacts of COVID-19 pandemic: Stochastic programming and Benders decomposition. Transportation Research Part E: Logistics and Transportation Review, 155, 102505.
• Dashti, H., Cheng, J., & Krokhmal, P. (2021). Chance-constrained optimization-based solar microgrid design and dispatch for radial distribution networks. Energy Systems, 1--23.
• Karimi, R., Cheng, J., & Lejeune, M. A. (2021). A Framework for Solving Chance-Constrained Linear Matrix Inequality Programs. INFORMS Journal on Computing, 33(3), 1015--1036.
• Cheramin, M., Cheng, J., Jiang, R., & Pan, K. (2020). Computationally Efficient Approximations for Distributionally Robust Optimization. Optimization online.
• Fathabad, A. M., Cheng, J., Pan, K., & Qiu, F. (2020). Data-driven planning for renewable distributed generation integration. IEEE Transactions on Power Systems, 35(6), 4357--4368.
• Fathabad, A. M., Yazzie, C. B., Cheng, J., & Arnold, R. G. (2020). Optimization of solar-driven systems for off-grid water nanofiltration and electrification. Reviews on Environmental Health, 35(2), 211--217.
• Bomze, I. M., Cheng, J., Dickinson, P. J., Lisser, A., & Liu, J. (2019). Notoriously hard (mixed-) binary QPs: empirical evidence on new completely positive approaches. Computational Management Science, 16(4), 593--619.
• Cheng, J., Gicquel, C., & Lisser, A. (2019). Partial sample average approximation method for chance constrained problems. Optimization Letters, 13(4), 657--672.
• Cheng, J., Chen, R. L., Najm, H. N., Pinar, A., Safta, C., & Watson, J. (2018). Chance-constrained economic dispatch with renewable energy and storage. Computational Optimization and Applications, 70(2), 479--502.
• Cheng, J., Li-Yang, C. R., Najm, H. N., Pinar, A., Safta, C., & Watson, J. (2018). Distributionally Robust Optimization with Principal Component Analysis. SIAM Journal on Optimization, 28(2), 1817--1841.
• Gicquel, C., & Cheng, J. (2018). A joint chance-constrained programming approach for the single-item capacitated lot-sizing problem with stochastic demand. Annals of Operations Research, 264(1-2), 123--155.

Proceedings Publications

• Cheng, J., & Gicquel, C. (2018). Partial Sample Average Approximation Approach for Stochastic Lot-Sizing Problems. In 2018 IISE Annual Conference.
• Karimi, R., Dabiri, A., Cheng, J., & Butcher, E. A. (2018). Probabilistic-Robust Optimal Control for Uncertain Linear Time-delay Systems by State Feedback Controllers with Memory. In 2018 Annual American Control Conference (ACC).
• Xu, C., Cheng, J., & Lisser, A. (2015). A Sampling Method to Chance-constrained Semidefinite Optimization. In Proceedings of the International Conference on Operations Research and Enterprise Systems, 75-81.
• Xu, C., Cheng, J., & Lisser, A. (2015). A Sampling Method to Chance-constrained Semidefinite Optimization. In Proceedings of the International Conference on Operations Research and Enterprise Systems.
• Xu, C., Cheng, J., & Lisser, A. (2015). Stochastic Semidefinite Optimization Using Sampling Methods. In International Conference on Operations Research and Enterprise Systems, 93-103.
• Xu, C., Cheng, J., & Lisser, A. (2015). Stochastic Semidefinite Optimization Using Sampling Methods. In International Conference on Operations Research and Enterprise Systems.
• Cheng, J., Gicquel, C., & Lisser, A. (2014). A modified sample approximation method for chance constrained problems. In SIAM Conference on optimization 2014.
• Cheng, J., Lisser, A., & Gicquel, C. (2014). A modified sample approximation approach for chance-constrained problems. In PGMO-COPI'14; Conference on Optimization and Practices in Industry.
• Gicquel, C., & Cheng, J. (2014). Solving a stochastic lot-sizing problem with a modified sample approximation approach.. In 44th International Conference on Computers and Industrial Engineering.
• Gicquel, C., Cheng, J., & Lisser, A. (2014). A joint chance-constraint programming approach for a stochastic lot-sizing problem. In Proceedings International Workshop on Lot-sizing, IWLS, Porto, Portuga.
• Nu~nez, B., Adasme, P., Soto, I., Cheng, J., Letournel, M., & Lisser, A. (2014). A chance constrained approach for uplink wireless OFDMA networks. In Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on.
• Nuñez, B., Adasme, P., Soto, I., Cheng, J., Letournel, M., & Lisser, A. (2014). A chance constrained approach for uplink wireless OFDMA networks. In Communication Systems, Networks & Digital Signal Processing (CSNDSP), 2014 9th International Symposium on, 754-757.
• Cheng, J., Gicquel, C., & Lisser, A. (2012). A second-order cone programming approximation to joint chance-constrained linear programs. In International Symposium on Combinatorial Optimization, 71-80.
• Cheng, J., Gicquel, C., & Lisser, A. (2012). A second-order cone programming approximation to joint chance-constrained linear programs. In International Symposium on Combinatorial Optimization.
• Cheng, J., Kosuch, S., & Lisser, A. (2012). Stochastic Shortest Path Problem with Uncertain Delays.. In ICORES, 256-264.

Others

• Safta, C., Cheng, J., Chen, R. L., Pinar, A., Najm, H. N., & Watson, J. (2022). Surrogate-based model for optimization under uncertainty..
• Fathabad, A. M., Cheng, J., Pan, K., & Yang, B. (2021). Tight Conic Approximations for Chance-Constrained AC Optimal Power Flow.
• Cheng, J. (2013). Stochastic Combinatorial Optimization.