Structured nonconvex optimization of large-scale energy systems using PIPS-NLP. - Naiyuan Chiang; Cosmin G. Petra; Victor M. Zavala (PSCC, 2014)

Nonlinear programming strategies on high-performance computers. - Jia Kang; Naiyuan Chiang; Carl D. Laird; Victor M. Zavala (CDC, 2015)

An inertia-free filter line-search algorithm for large-scale nonlinear programming. - Naiyuan Chiang; Victor M. Zavala (Comput. Optim. Appl., 2016)

An Augmented Lagrangian Filter Method for Real-Time Embedded Optimization. - Naiyuan Chiang; Rui Huang; Victor M. Zavala (IEEE Trans. Autom. Control., 2017)

A Structured Quasi-Newton Algorithm for Optimizing with Incomplete Hessian Information. - Cosmin G. Petra; Naiyuan Chiang; Mihai Anitescu (SIAM J. Optim., 2019)

Data-Driven Probabilistic Anomaly Detection for Electricity Market under Cyber Attacks. - Mucun Sun; Lingyu Ren; Naiyuan Chiang (ACC, 2021)

An asynchronous distributed-memory optimization solver for two-stage stochastic programming problems. - Jingyi Wang; Naiyuan Chiang; Cosmin G. Petra (ISPDC, 2021)

A Hybrid Direct-Iterative Method for Solving KKT Linear Systems. - Shaked Regev; Naiyuan Chiang; Eric Darve; Cosmin G. Petra; Michael A. Saunders; Kasia Swirydowicz; Slaven Peles (CoRR, 2021)

HyKKT: a hybrid direct-iterative method for solving KKT linear systems. - Shaked Regev; Naiyuan Chiang; Eric Darve; Cosmin G. Petra; Michael A. Saunders; Kasia Swirydowicz; Slaven Peles (Optim. Methods Softw., 2023)

On Improved Regret Bounds In Bayesian Optimization with Gaussian Noise. - Jingyi Wang; Haowei Wang; Cosmin G. Petra; Naiyuan Chiang (CoRR, 2024)

On the convergence of noisy Bayesian Optimization with Expected Improvement. - Jingyi Wang; Haowei Wang; Cosmin G. Petra; Naiyuan Chiang (CoRR, 2025)

Convergence Rates of Constrained Expected Improvement. - Haowei Wang; Jingyi Wang; Zhongxiang Dai; Naiyuan Chiang; Szu Hui Ng; Cosmin G. Petra (CoRR, 2025)