Publications

* denotes equal contribution

2025

  1. arXiv
    Accelerating Optimization via Differentiable Stopping Time
    Zhonglin Xie, Yiman Fong, Haoran Yuan, and Zaiwen Wen
    arXiv preprint, arXiv: 2505.22509, 2025
    arXiv
  2. arXiv
    Accelerated Natural Gradient Method for Parametric Manifold Optimization
    Chenyi Li*, Shuchen Zhu*, Zhonglin Xie, and Zaiwen Wen
    arXiv preprint, arXiv: 2504.05753, 2025
    arXiv
  3. ICML
    OptMATH: A Scalable Bidirectional Data Synthesis Framework for Optimization Modeling
    Hongliang Lu*, Zhonglin Xie*, Yaoyu Wu, Can Ren, Yuxuan Chen, and Zaiwen Wen
    Forty-Second International Conference on Machine Learning (ICML), 2025
    arXiv HTML Code Poster Slides Dataset

2024

  1. arXiv
    ODE-based Learning to Optimize
    Zhonglin Xie, Wotao Yin, and Zaiwen Wen
    arXiv preprint, arXiv: 2406.02006, 2024
    arXiv Video Code Poster Slides

2023

  1. LRSDP: Low-Rank SDP for Triple Patterning Lithography Layout Decomposition
    Yu Zhang*, Yifan Chen*, Zhonglin Xie, Hong Xu, Zaiwen Wen, Yibo Lin, and Bei Yu
    In 60th ACM/IEEE Design Automation Conference, DAC 2023, San Francisco, CA, USA, July 9-13, 2023, 2023
    DOI HTML

2021

  1. Joint Bandwidth Allocation and Path Selection in WANs with Path Cardinality Constraints
    Jinxin Wang, Fan Zhang, Zhonglin Xie, Zaiwen Wen, and Gong Zhang
    J. Commun. Inf. Networks, 2021
    DOI HTML