Haixiang Zhang

15 papers A* 4A 1Journal 8Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Distributionally Robust Joint Chance-Constrained Optimal Power Flow using Relative Entropy.
CoRR
Eli Brock, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi
2025 J jnl
Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks.
Trans. Mach. Learn. Res.
Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Eduardo D. Sontag
2025 J jnl
Stochastic Localization Methods for Convex Discrete Optimization via Simulation.
Oper. Res.
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
2024 J jnl
A new complexity metric for nonconvex rank-one generalized matrix completion.
Math. Program.
Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Somayeh Sojoudi
2024 J jnl
Exact Recovery Guarantees for Parameterized Non-linear System Identification Problem under Adversarial Attacks.
CoRR
Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Eduardo D. Sontag
2023 — conf
Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints.
CDC
Eli Brock, Haixiang Zhang, Julie Mulvaney-Kemp, Javad Lavaei, Somayeh Sojoudi
2023 A* conf
Geometric Analysis of Matrix Sensing over Graphs.
NeurIPS
Haixiang Zhang, Ying Chen, Javad Lavaei
2023 J jnl
Gradient-Based Algorithms for Convex Discrete Optimization via Simulation.
Oper. Res.
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
2022 A conf
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods.
AISTATS
Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi
2022 A* conf
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems.
AAAI
Yingjie Bi, Haixiang Zhang, Javad Lavaei
2022 J jnl
Uniqueness of Power Flow Solutions Using Graph-Theoretic Notions.
IEEE Trans. Control. Netw. Syst.
Haixiang Zhang, SangWoo Park, Javad Lavaei, Ross Baldick
2021 J jnl
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods.
CoRR
Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi
2021 A* conf
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds.
NeurIPS
Haixiang Zhang, Yingjie Bi, Javad Lavaei
2021 A* conf
Stochastic $L^\natural$-convex Function Minimization.
NeurIPS
Haixiang Zhang, Zeyu Zheng, Javad Lavaei
2020 — conf
A Dynamical System Perspective for Escaping Sharp Local Minima in Equality Constrained Optimization Problems.
CDC
Han Feng, Haixiang Zhang, Javad Lavaei