Haixiang Zhang

About Haixiang Zhang

Haixiang Zhang, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at University of California, Berkeley, specializes in the field of Applied Mathematics, Optimization.

His recent articles reflect a diverse array of research interests and contributions to the field:

Geometric Analysis of Matrix Sensing over Graphs

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

Stochastic Localization Methods for Discrete Convex Simulation Optimization

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

Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints

Local and global linear convergence of general low-rank matrix recovery problems

Factorization approach for low-complexity matrix completion problems: Exponential number of spurious solutions and failure of gradient methods

Gradient-based algorithms for convex discrete optimization via simulation

Haixiang Zhang Information

University

Position

Ph.D. Student

Citations(all)

72

Citations(since 2020)

72

Cited By

4

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

3

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Haixiang Zhang Skills & Research Interests

Applied Mathematics

Optimization

Top articles of Haixiang Zhang

Geometric Analysis of Matrix Sensing over Graphs

2023

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

IEEE Transactions on Smart Grid

2022/2/10

Stochastic Localization Methods for Discrete Convex Simulation Optimization

Available at SSRN 3742569

2022

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

Mathematical Programming

2023/8/16

Distributionally Robust Optimization for Nonconvex QCQPs with Stochastic Constraints

2023

Local and global linear convergence of general low-rank matrix recovery problems

Proceedings of the AAAI Conference on Artificial Intelligence

2022/6/28

Haixiang Zhang
Haixiang Zhang

H-Index: 1

Javad Lavaei
Javad Lavaei

H-Index: 26

Factorization approach for low-complexity matrix completion problems: Exponential number of spurious solutions and failure of gradient methods

2022/5/3

Gradient-based algorithms for convex discrete optimization via simulation

Operations research

2023/9

Uniqueness of Power Flow Solutions Using Graph-theoretic Notions

2020

Stochastic -convex Function Minimization

Advances in Neural Information Processing Systems

2021/12/6

General low-rank matrix optimization: Geometric analysis and sharper bounds

Advances in Neural Information Processing Systems

2021/12/6

Haixiang Zhang
Haixiang Zhang

H-Index: 1

Javad Lavaei
Javad Lavaei

H-Index: 26

On the geometric analysis of a quartic–quadratic optimization problem under a spherical constraint

Mathematical Programming

2022/9

Selection of the Best under Convexity

Available at SSRN 3848865

2021/5/18

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

2020

See List of Professors in Haixiang Zhang University(University of California, Berkeley)