Haixiang Zhang

According to our database, Haixiang Zhang authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Distributionally Robust Joint Chance-Constrained Optimal Power Flow using Relative Entropy.

Eli Brock, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi

CoRR, January, 2025

Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks.

Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Eduardo D. Sontag

Trans. Mach. Learn. Res., 2025

Stochastic Localization Methods for Convex Discrete Optimization via Simulation.

Haixiang Zhang, Zeyu Zheng, Javad Lavaei

Oper. Res., 2025

2024

A new complexity metric for nonconvex rank-one generalized matrix completion.

Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Somayeh Sojoudi

Math. Program., September, 2024

Exact Recovery Guarantees for Parameterized Non-linear System Identification Problem under Adversarial Attacks.

Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Eduardo D. Sontag

CoRR, 2024

2023

Gradient-Based Algorithms for Convex Discrete Optimization via Simulation.

Haixiang Zhang, Zeyu Zheng, Javad Lavaei

Oper. Res., 2023

Geometric Analysis of Matrix Sensing over Graphs.

Haixiang Zhang, Ying Chen, Javad Lavaei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints.

Eli Brock, Haixiang Zhang, Julie Mulvaney-Kemp, Javad Lavaei, Somayeh Sojoudi

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Uniqueness of Power Flow Solutions Using Graph-Theoretic Notions.

Haixiang Zhang, SangWoo Park, Javad Lavaei, Ross Baldick

IEEE Trans. Control. Netw. Syst., 2022

Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods.

Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems.

Yingjie Bi, Haixiang Zhang, Javad Lavaei

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Stochastic $L^\natural$-convex Function Minimization.

Haixiang Zhang, Zeyu Zheng, Javad Lavaei

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds.

Haixiang Zhang, Yingjie Bi, Javad Lavaei

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

A Dynamical System Perspective for Escaping Sharp Local Minima in Equality Constrained Optimization Problems.

Han Feng, Haixiang Zhang, Javad Lavaei

Proceedings of the 59th IEEE Conference on Decision and Control, 2020