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
2025 Best paper conf
Assessing the Effectiveness of the Tigress Obfuscator Against MOPSA and BinaryNinja.
CheckMATE
Nicolò Altamura, Enrico Bragastini, Marco Campion, Mila Dalla Preda
2026 Best paper preprint
ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage.
arXiv
Chang Liu, Noah Fleischmann, Nicolò Altamura, Edward Raff, James Holt, Kristopher Micinski