Yuan Lan

2 accepted papers

2026

Constructing Industrial-Scale Optimization Modeling Benchmark

Zhong Li, Hongliang Lu, Tao Wei, Wenyu Liu, Yuxuan Chen, Yuan LAN +2

ICML 2026poster

Optimization modeling underpins decision-making in logistics, manufacturing, energy, and finance, yet translating natural-language requirements into correct optimization formulations and solver-executable code remains labor-intensive. Although large language models (LLMs) have been explored for this…

Cited by 0 Source ↗Scholar ↗

2024

Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale

Candi Zheng, Yuan Lan

ICML 2024poster

Popular guidance for denoising diffusion probabilistic model (DDPM) linearly combines distinct conditional models together to provide enhanced control over samples. However, this approach overlooks nonlinear effects that become significant when guidance scale is large. To address this issue, we prop…

Cited by 4 Source ↗PDF ↗code ↗Scholar ↗