Chenyu Huang (黄晨宇)
Chenyu Huang (黄晨宇)
Chenyu Huang (黄晨宇)
Chenyu Huang (黄晨宇)

Chenyu Huang (黄晨宇)

Last updated: May 2026
✉️
Email: chenyuhuang@stu.sufe.edu.cn
🌐
Google Scholar: Chenyu Huang
🔥
Catch Me Here!
🏠 Base Camp
  • I’m a PhD Student @SUFE, Shanghai.
  • I recently joined @ByteDance (New Jiangwan City, Shanghai) as an LLM & E-commerce Intern, welcome to connect!
🚀 Presentations On the Road
  • CSAMSE | June 26-28 | Shenyang, China 🥟
  • POMS-China | July 17-20 | Xi’an, China 🧱
  • Informs Annual Meeting | November 1-4 | San Francisco, USA 🌉
      • ✨Excited to share our latest work: InvEvolve (Evolving Inventory Policies via LLMs)

About Me

Academic portrait
Academic portrait
I am a Ph.D. candidate at the Research Institute for Interdisciplinary Sciences at SUFE, advised by Prof. Bo Jiang and Prof. Zhen Wang. Through research on AI4OR, I am also fortunate to work closely with Prof. Dongdong Ge (SJTU) and Prof. Zizhuo Wang (CUHK.SZ).
  • 🔬 Research Focus: I’m currently interested in the intersection of AI/LLMs and Operations Management, with broad interests in Revenue Management, Mechanism Design, and Robust Optimization.
  • 🏷️ Key Interests: AI4OR Revenue Management Mechanism Design Robust Optimization
 

Education Background

  1. B.S. in Mathematics and Applied Mathematics, Shanghai University, 2019.9 - 2023.6
      • Shanghai Scholarship
      • Shanghai Outstanding Graduates
  1. Ph.D. in Management Science and Engineering, Shanghai University of Finance and Economics, 2023.9 - 2028.6 (expected)
      • National Scholarship
 

Academic

Publications

  1. Chenyu Huang, Zhengyang Tang, Shixi Hu, Ruoqing Jiang, Xin Zheng, Dongdong Ge, Benyou Wang, and Zizhuo Wang. (2025). ORLM: A Customizable Framework in Training Large Models for Automated Optimization Modeling. Operations Research.  Link

Conference Proceedings

  1. Zhengyang Tang, Zihan Ye, Chenyu Huang, Xuhan Huang, Chengpeng Li, Sihang Li, Guanhua Chen, Ming Yan, Zizhuo Wang, Hongyuan Zha, Dayiheng Liu and Benyou Wang. (2026). CALM Before the STORM: Unlocking Native Reasoning for Optimization Modeling. ICML 2026. Link

Working Papers

  1. Chenyu Huang, Bo Jiang, Zhen Wang and Jiawei Zhang. (2025). Tractable Robust Mechanism Design with General Concave Objectives. Link
      • The initial version of this paper wins ISCOM Conference Best Paper Honorable Mention, 2024
      • This paper wins POMS-China Best Student Paper, First Prize, 2025
  1. Lin Lei, Chenyu Huang, Wenzhe Mao, Dongdong Ge, P.K.Kannan. (2025). Infusing Organizational Memory in Marketing Analytics with LLM-Enhanced AutoML. Link
  1. Simai He, Chenyu Huang, Zhen Wang, Shixin Wang. (2026) Performance Guarantees for Robust Pricing with Finite Menu.
  1. Chenyu Huang, Jianghao Lin, Zhengyang Tang, Bo Jiang, Ruoqing Jiang, Benyou Wang, Lai Wei. (2026). InvEvolve: Evolving White-Box Inventory Policies via Large Language Models with Performance Guarantees. Link
 

Services

  • Serving as the referee for the INFORMS Journal on Data Science.
  • Serve as a member of the Program Committee for ACM EC’26.
 

Work Experience

Organization
Role
Focus
HuaWei
Assistant Engineer
Deep learning based on MindSpore.
Shanghai Fire Research Institute of MEM
Intern Researcher
Operations Research.
Cardinal Operations
Intern Researcher
Large language models and optimization.
Bytedance Inc.
Intern Researcher
Large language models and cross-border e-commerce.