1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025
Accelerating Optimization via Differentiable Stopping Time
Zhonglin Xie, Yiman Fong, Haoran Yuan +1
Optimization is an important module of modern machine learning applications. Tremendous efforts have been made to accelerate optimization algorithms. A common formulation is achiev…
math.OC2025
Accelerated Natural Gradient Method for Parametric Manifold Optimization
Chenyi Li, Shuchen Zhu, Zhonglin Xie +1
Parametric manifold optimization problems frequently arise in various machine learning tasks, where state functions are defined on infinite-dimensional manifolds. We propose a unif…
cs.AI2025★ 1 cited
OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
Hongliang Lu, Zhonglin Xie, Yaoyu Wu +3
Despite the rapid development of large language models (LLMs), a fundamental challenge persists: the lack of high-quality optimization modeling datasets hampers LLMs' robust modeli…