World's Best Scientists 2026 revealed!
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Mathematics
USA
2026

D-Index & Metrics

Mathematics

D-Index
80
Citations
42429
World Ranking
141
National Ranking
81

Engineering and Technology

D-Index
80
Citations
42526
World Ranking
515
National Ranking
173

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2009 - INFORMS John von Neumann Theory Prize

Overview

Yinyu Ye is affiliated with Stanford University in the United States. Their research spans multiple intersecting fields, including Computer Science, Engineering, and Mathematics, with a significant focus on advanced optimization algorithms and related computational methods.

The primary areas of study include:

  • Computer Science
  • Engineering
  • Mathematics

Within these main fields, Yinyu Ye has contributed extensively to several subfields:

  • Artificial Intelligence
  • Numerical Analysis
  • Computational Mechanics
  • Management Science and Operations Research
  • Computational Theory and Mathematics

Their research topics cover a range of specialized subjects such as:

  • Advanced Optimization Algorithms Research
  • Sparse and Compressive Sensing Techniques
  • Stochastic Gradient Optimization Techniques
  • Optimization and Search Problems
  • Advanced Bandit Algorithms Research
  • Matrix Theory and Algorithms
  • Optimization and Variational Analysis

Yinyu Ye has numerous recent publications, indicating ongoing contributions to the field. These include:

  • "An ADMM-based interior-point method for large-scale linear programming," 2020, Optimization methods & software
  • "Online Linear Programming: Dual Convergence, New Algorithms, and Regret Bounds," 2021, Operations Research
  • "Sequential Batch Learning in Finite-Action Linear Contextual Bandits," 2020, arXiv (Cornell University)
  • "Simple and fast algorithm for binary integer and online linear programming," 2022, Mathematical Programming
  • "Managing randomization in the multi-block alternating direction method of multipliers for quadratic optimization," 2020, Mathematical Programming Computation

The scientist frequently publishes in venues such as:

  • arXiv (Cornell University)
  • INFORMS journal on computing
  • Operations Research
  • Mathematics of Operations Research
  • Optimization methods & software

Regarding collaborations, Yinyu Ye has frequently co-authored work with:

  • Dongdong Ge
  • David G. Luenberger
  • Chuwen Zhang
  • Wenzhi Gao

Yinyu Ye has contributed to book literature as well, with a publication titled Linear and Nonlinear Programming released in 2021 by Springer Science+Business Media.

Among accolades, Yinyu Ye was awarded the INFORMS John von Neumann Theory Prize in 2009.

Best Publications

  • Linear and nonlinear programming

    David G. Luenberger;Yinyu Ye

  • Semidefinite Relaxation of Quadratic Optimization Problems

    Zhi-quan Luo;Wing-kin Ma;Anthony Man-Cho So;Yinyu Ye

  • Disciplined Convex Programming

    Michael Grant;Stephen Boyd;Yinyu Ye

  • Distributionally Robust Optimization Under Moment Uncertainty with Application to Data-Driven Problems

    Erick Delage;Yinyu Ye

  • Interior point algorithms: theory and analysis

    Yinyu Ye

  • Approximation algorithms for facility location problems

    Yinyu Ye;Jiawei Zhang

  • Semidefinite programming for ad hoc wireless sensor network localization

    Pratik Biswas;Yinyu Ye

  • The direct extension of ADMM for multi-block convex minimization problems is not necessarily convergent

    Caihua Chen;Bingsheng He;Yinyu Ye;Xiaoming Yuan

  • Semidefinite programming based algorithms for sensor network localization

    Pratik Biswas;Tzu-Chen Lian;Ta-Chung Wang;Yinyu Ye

  • On Adaptive-Step Primal-Dual Interior-Point Algorithms for Linear Programming

    Shinji Mizuno;Michael J. Todd;Yinyu Ye

  • Theory of semidefinite programming for Sensor Network Localization

    Anthony Man-Cho So;Yinyu Ye

  • Semidefinite Programming Approaches for Sensor Network Localization With Noisy Distance Measurements

    P. Biswas;Tzu-Chen Liang;Kim-Chuan Toh;Y. Ye

  • An O(nL) -iteration homogeneous and self-dual linear programming algorithm

    Yinyu Ye;Michael J. Todd;Shinji Mizuno

  • Solving Large-Scale Sparse Semidefinite Programs for Combinatorial Optimization

    Steven J. Benson;Yinyu Ye;Xiong Zhang

  • Statistical ranking and combinatorial Hodge theory

    Xiaoye Jiang;Lek-Heng Lim;Yuan Yao;Yinyu Ye

  • Lower Bound Theory of Nonzero Entries in Solutions of $ll_2$-$ll_p$ Minimization

    Xiaojun Chen;Fengmin Xu;Yinyu Ye

  • An OL ( n 3 ) potential reduction algorithm for linear programming

    Yinyu Ye

  • A note on the complexity of L p minimization

    Dongdong Ge;Xiaoye Jiang;Yinyu Ye

  • A Dynamic Near-Optimal Algorithm for Online Linear Programming

    Shipra Agrawal;Zizhuo Wang;Yinyu Ye

  • New Results on Quadratic Minimization

    Yinyu Ye;Yinyu Ye;Yinyu Ye;Shuzhong Zhang

Frequent Co-Authors

Anthony Man-Cho So
Anthony Man-Cho So Chinese University of Hong Kong
David G. Luenberger
David G. Luenberger Stanford University
Michael J. Todd
Michael J. Todd Cornell University
Panos M. Pardalos
Panos M. Pardalos University of Florida
Lei Xing
Lei Xing Stanford University
Zhi-Quan Luo
Zhi-Quan Luo Chinese University of Hong Kong, Shenzhen
Er-Wei Bai
Er-Wei Bai University of Iowa
Amin Saberi
Amin Saberi Stanford University
Chuangyin Dang
Chuangyin Dang City University of Hong Kong
Roberto Tempo
Roberto Tempo Polytechnic University of Turin

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