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ORCIDHaixiang Zhang 0002
Person information
- affiliation: University of California Berkeley, CA, USA
Other persons with the same name
- Haixiang Zhang — disambiguation page
- Haixiang Zhang 0001
![[0009-0005-0366-2426]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0009-0005-0366-2426")
— Chongqing University, Chongqing, China - Haixiang Zhang 0003 — Hunan University of Technology, Zhuzhou, Hunan, China
- Haixiang Zhang 0004 — Chinese University of Hong Kong, Shenzhen, China
- Haixiang Zhang 0005 — Hunan University of Technology, Zhuzhou, China
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Journal Articles
- 2025
[j5]Haixiang Zhang, Zeyu Zheng, Javad Lavaei:
Stochastic Localization Methods for Convex Discrete Optimization via Simulation. Oper. Res. 73(2): 927-948 (2025)- [j4]Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Eduardo D. Sontag:
Exact Recovery Guarantees for Parameterized Nonlinear System Identification Problem under Sparse Disturbances or Semi-Oblivious Attacks. Trans. Mach. Learn. Res. 2025 (2025) - 2024
- [j3]Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Somayeh Sojoudi:
A new complexity metric for nonconvex rank-one generalized matrix completion. Math. Program. 207(1): 227-268 (2024) - 2023
- [j2]Haixiang Zhang, Zeyu Zheng, Javad Lavaei:
Gradient-Based Algorithms for Convex Discrete Optimization via Simulation. Oper. Res. 71(5): 1815-1834 (2023) - 2022
- [j1]Haixiang Zhang, SangWoo Park, Javad Lavaei, Ross Baldick:
Uniqueness of Power Flow Solutions Using Graph-Theoretic Notions. IEEE Trans. Control. Netw. Syst. 9(1): 100-112 (2022)
Conference and Workshop Papers
- 2023
- [c7]Eli Brock, Haixiang Zhang, Julie Mulvaney-Kemp, Javad Lavaei, Somayeh Sojoudi:
Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints. CDC 2023: 4320-4326 - [c6]Haixiang Zhang, Ying Chen, Javad Lavaei:
Geometric Analysis of Matrix Sensing over Graphs. NeurIPS 2023 - 2022
- [c5]Yingjie Bi, Haixiang Zhang, Javad Lavaei:
Local and Global Linear Convergence of General Low-Rank Matrix Recovery Problems. AAAI 2022: 10129-10137 - [c4]Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi:
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods. AISTATS 2022: 319-341 - 2021
- [c3]Haixiang Zhang, Zeyu Zheng, Javad Lavaei:
Stochastic $L^\natural$-convex Function Minimization. NeurIPS 2021: 13004-13018 - [c2]Haixiang Zhang, Yingjie Bi, Javad Lavaei:
General Low-rank Matrix Optimization: Geometric Analysis and Sharper Bounds. NeurIPS 2021: 27369-27380 - 2020
- [c1]Han Feng, Haixiang Zhang, Javad Lavaei:
A Dynamical System Perspective for Escaping Sharp Local Minima in Equality Constrained Optimization Problems. CDC 2020: 4255-4261
Informal and Other Publications
- 2025
- [i3]Eli Brock, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi:
Distributionally Robust Joint Chance-Constrained Optimal Power Flow using Relative Entropy. CoRR abs/2501.03543 (2025) - 2024
- [i2]Haixiang Zhang, Baturalp Yalcin, Javad Lavaei, Eduardo D. Sontag:
Exact Recovery Guarantees for Parameterized Non-linear System Identification Problem under Adversarial Attacks. CoRR abs/2409.00276 (2024) - 2021
- [i1]Baturalp Yalcin, Haixiang Zhang, Javad Lavaei, Somayeh Sojoudi:
Factorization Approach for Low-complexity Matrix Completion Problems: Exponential Number of Spurious Solutions and Failure of Gradient Methods. CoRR abs/2110.10279 (2021)
Coauthor Index
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