Research
Preprints
- Zhang, Shixuan, and Xu Andy Sun. “On Distributionally Robust Multistage Convex Optimization: Data-driven Models and Performance.” arXiv preprint arXiv:2210.08433 (2022).
- Zhang, Shixuan, and Xu Andy Sun. “On Distributionally Robust Multistage Convex Optimization: New Algorithms and Complexity Analysis.” arXiv preprint arXiv:2010.06759 (2020).
Refereed Papers
- Gholami, Amin, Kaizhao Sun, Shixuan Zhang, and Xu Andy Sun. “An Alternating Direction Method of Multipliers-Based Distributed Optimization Method for Solving Security-Constrained Alternating Current Optimal Power Flow.” Operations Research (2023).
- Aravena, Ignacio, Daniel K. Molzahn, Shixuan Zhang, Cosmin G. Petra, Frank E. Curtis, Shenyinying Tu, Andreas Wächter et al. “Recent developments in security-constrained AC optimal power flow: Overview of Challenge 1 in the ARPA-E Grid Optimization Competition.” Operations Research (2023).
- Zhang, Shixuan, and Xu Andy Sun. “Stochastic dual dynamic programming for multistage stochastic mixed-integer nonlinear optimization.” Mathematical Programming (2022): 1-51.
- Deng, Tianhu, Yong Liang, Shixuan Zhang, Jingze Ren, and Shuyi Zheng. “A dynamic programming approach to power consumption minimization in gunbarrel natural gas networks with nonidentical compressor units.” INFORMS Journal on Computing 31, no. 3 (2019): 593-611.
- Zhang, Shixuan, Sheng Liu, Tianhu Deng, and Zuo-Jun Max Shen. “Transient-state natural gas transmission in gunbarrel pipeline networks.” INFORMS Journal on Computing 32, no. 3 (2020): 697-713.
Conference Talks
- Dual Dynamic Programming for Data-driven Distributionally Robust Multistage Convex Optimization, ICSP 2023
- Burer-Monteiro Method for Low-rank Sum-of-square Certification, AMS Southeast Sectional Meeting 2023
- Dual Dynamic Programming for Data-driven Distributionally Robust Multistage Convex Optimization, INFORMS Annual Meeting 2022 (slides here)
- Dual Dynamic Programming for Data-driven Distributionally Robust Multistage Convex Optimization, International Conference on Continuous Optimization (ICCOPT) 2022
- Dual Dynamic Programming for Data-driven Distributionally Robust Multistage Convex Optimization, INFORMS Optimization Society Meeting 2022
- New Algorithms and Complexity Analysis for Distributionally Robust Multistage Convex Optimization, INFORMS Annual Meeting 2021
- Iteration Complexity for Stochastic Dual Dynamic Programming Algorithms, SIAM Southeastern Atlantic Section Conference 2021
- Complexity for Multistage Distributionally Robust Dual Dynamic Programming, SIAM Conference on Optimization 2021
- Generalized Conjugacy Method for Nonconvex Stochastic Optimization in Power Systems, INFORMS Annual Meeting 2020
- Stochastic Dual Dynamic Programming Algorithm for Nonconvex Multistage Optimization Problems, INFORMS Annual Meeting 2019
- A Minor Perspective on Rank Constrained Optimization, INFORMS Annual Meeting 2018