Wotao Yin

Wotao Yin

University of California, Los Angeles

H-index: 80

North America-United States

About Wotao Yin

Wotao Yin, With an exceptional h-index of 80 and a recent h-index of 63 (since 2020), a distinguished researcher at University of California, Los Angeles, specializes in the field of optimization, parallel and distributed computation, inverse problems.

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

Decomposition Methods for Global Solution of Mixed-Integer Linear Programs

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

Efficient Algorithms for Sum-of-Minimum Optimization

Rethinking the Capacity of Graph Neural Networks for Branching Strategy

Vertical asynchronous federated learning: algorithms and theoretic guarantees

Alternating Projected SGD for Equality-constrained Bilevel Optimization

Towards constituting mathematical structures for learning to optimize

MindOpt Adapter for CPLEX Benchmarking Performance Analysis

Wotao Yin Information

University

Position

Professor of Mathematics

Citations(all)

37233

Citations(since 2020)

18845

Cited By

26392

hIndex(all)

80

hIndex(since 2020)

63

i10Index(all)

199

i10Index(since 2020)

181

Email

University Profile Page

University of California, Los Angeles

Google Scholar

View Google Scholar Profile

Wotao Yin Skills & Research Interests

optimization

parallel and distributed computation

inverse problems

Top articles of Wotao Yin

Title

Journal

Author(s)

Publication Date

Decomposition Methods for Global Solution of Mixed-Integer Linear Programs

SIAM Journal on Optimization

Kaizhao Sun

Mou Sun

Wotao Yin

2024/6/30

Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark

arXiv preprint arXiv:2402.11592

Yihua Zhang

Pingzhi Li

Junyuan Hong

Jiaxiang Li

Yimeng Zhang

...

2024/2/18

Efficient Algorithms for Sum-of-Minimum Optimization

arXiv preprint arXiv:2402.07070

Lisang Ding

Ziang Chen

Xinshang Wang

Wotao Yin

2024/2/11

Rethinking the Capacity of Graph Neural Networks for Branching Strategy

arXiv preprint arXiv:2402.07099

Ziang Chen

Jialin Liu

Xiaohan Chen

Xinshang Wang

Wotao Yin

2024/2/11

Vertical asynchronous federated learning: algorithms and theoretic guarantees

Tianyi Chen

Xiao Jin

Yuejiao Sun

Wotao Yin

2024/1/1

Alternating Projected SGD for Equality-constrained Bilevel Optimization

Quan Xiao

Han Shen

Wotao Yin

Tianyi Chen

2023/4/11

Towards constituting mathematical structures for learning to optimize

Jialin Liu

Xiaohan Chen

Zhangyang Wang

Wotao Yin

HanQin Cai

2023/7/3

MindOpt Adapter for CPLEX Benchmarking Performance Analysis

arXiv preprint arXiv:2312.13527

Mou Sun

Tao Li

Wotao Yin

2023/12/21

SKTformer: A Skeleton Transformer for Long Sequence Data

Tian Zhou

Jianqing Zhu

Jialin Liu

Kun Yuan

Tao Yao

...

2022/9/29

DSGD-CECA: decentralized SGD with communication-optimal exact consensus algorithm

Lisang Ding

Kexin Jin

Bicheng Ying

Kun Yuan

Wotao Yin

2023/7/3

Two-Stage Learning to Branch in Branch-Price-and-Cut Algorithms for Solving Vehicle Routing Problems Exactly

https://drive.google.com/file/d/1hxKO2R3OVxiFzTt-7yqSdbqeJ3DYV3Pz/view?usp=drive_link

Zhengzhong You

Yu Yang

Xinshang Wang

Wotao Yin

2023/10/9

Safeguarded learned convex optimization

Proceedings of the AAAI Conference on Artificial Intelligence

Howard Heaton

Xiaohan Chen

Zhangyang Wang

Wotao Yin

2023/6/26

DIG-MILP: a Deep Instance Generator for Mixed-Integer Linear Programming with Feasibility Guarantee

arXiv preprint arXiv:2310.13261

Haoyu Wang

Jialin Liu

Xiaohan Chen

Xinshang Wang

Pan Li

...

2023/10/20

Attentional-Biased Stochastic Gradient Descent

Transactions on Machine Learning Research

Qi Qi

Yi Xu

Wotao Yin

Rong Jin

Tianbao Yang

2023/5

From the simplex to the sphere: faster constrained optimization using the Hadamard parametrization

Information and Inference: A Journal of the IMA

Qiuwei Li

Daniel McKenzie

Wotao Yin

2023/9

Lower Bounds and Accelerated Algorithms in Distributed Stochastic Optimization with Communication Compression

arXiv preprint arXiv:2305.07612

Yutong He

Xinmeng Huang

Yiming Chen

Wotao Yin

Kun Yuan

2023/5/12

MindOpt Tuner: Boost the Performance of Numerical Software by Automatic Parameter Tuning

arXiv preprint arXiv:2307.08085

Mengyuan Zhang

Wotao Yin

Mengchang Wang

Yangbin Shen

Peng Xiang

...

2023/7/16

Wasserstein-Based Projections with Applications to Inverse Problems

SIAM Journal on Mathematics of Data Science

Howard Heaton

Samy Wu Fung

Alex Tong Lin

Stanley Osher

Wotao Yin

2022

Large-Scale Convex Optimization: Algorithms & Analyses via Monotone Operators

Ernest K Ryu

Wotao Yin

2022/12/1

Scaled relative graphs: Nonexpansive operators via 2D Euclidean geometry

Mathematical Programming

Ernest K Ryu

Robert Hannah

Wotao Yin

2022/7

See List of Professors in Wotao Yin University(University of California, Los Angeles)

Co-Authors

H-index: 132
Zhu Han

Zhu Han

University of Houston

H-index: 58
Donald Goldfarb

Donald Goldfarb

Columbia University in the City of New York

H-index: 35
Qing Ling

Qing Ling

Sun Yat-Sen University

H-index: 31
Jérôme Darbon

Jérôme Darbon

Brown University

H-index: 30
Tianyi Chen

Tianyi Chen

Rensselaer Polytechnic Institute

H-index: 30
Zaiwen Wen

Zaiwen Wen

Peking University

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