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I am a PhD student at Operations Research, Georgia Institute of Technology, advised by Guanghui (George) Lan. Previously, I received my master's degree from Applied Mathematics and Statistics, Johns Hopkins University, where I concentrated on optimization. My master's thesis was advised by Benjamin Grimmer. Email / CV / LinkedIn / Google Scholar |
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PhD student in Operations Research at Georgia Institute of Technology (2023.08-present). Master of Science in Engineering in Applied Mathematics and Statistics at Johns Hopkins University (2021.08-2022.12) [Thesis]. Bachelor of Science in Information and Computing Science at Sun Yat-Sen University (2017.09-2021.06) [Thesis]. |
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I am interested in optimization. My current research is about continuous optimization, including convex/nonconvex, smooth/nonsmooth, unconstrained/constrained and deterministic/stochastic optimization, focusing on design and analysis of first-order/zeroth-order algorithms, with applications in solving modern data science and machine learning problems. My previous research also includes exploring multiple applications of numerical methods. |
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First-Order Methods for Lipschitz Constrained Optimization [ArXiv]
Take a look at the Goldstein stationarity for constrained problems! Advisor: Benjamin Grimmer |
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First-Order Methods for Nonsmooth Weakly Convex Constrained Optimization [ArXiv]
More than KKT stationarity, let us see Fritz John! Look at our SCAD objects with interesting non-Slater properties, when acting as nonsmooth nonconvex functional constraints. Also see our non-Lipschitz analysis for the switching subgradient method. Advisor: Benjamin Grimmer |
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The Zeroth-Order SPSA method for Constrained Stochastic Optimization [ArXiv]
See Simultaneous Perturbation Stochastic Approximation (SPSA) here! Take a look at our designs on the SPSA dealing with functional inequality constraints. Advisor: James Spall Teammate: Ziyi Wei |
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Stochastic First-Order Methods with Stochastic Polyak Stepsizes
Coming soon! Advisor: Nicolas Loizou |
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On a Tailored Fast and Flexible Holomorphic Embedding Method for Time-Varying Control Systems
Advisor: Tao Wang Teammates: Yuning Ding, Zi'ang Fang, Yusi Zhang |
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Implementation and Analyzing of the Augmented Lagrangian Method
Advisor: Jovan Ilic Teammates: Zhaoxuan Hu, Jiagan Ma |
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Mechanical Arm Motion Planning Method based on Fast and Flexible Full-Pure Embedding Thought [Website]
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