王曦立 (Xili Wang)

About Me

I received my Ph.D. in Computational Mathematics from the School of Mathematical Sciences, Peking University. Before that, I received my bachelor degree from the School of Mathematical Sciences, Fudan University, majoring in Information and Computational Science.

I am currently a researcher at Meituan LongCat Team. My research focuses on pre-training.

Collaborators

• Kejun Tang
• Xiaoliang Wan

Education

Work Experience

Meituan LongCat Team, Researcher, Jun 2026 - Present

Meituan LongCat Team, Intern, Mar 2025 - Aug 2025

Research

My research interests include

• Pre-training
• Deep adaptive sampling
• PDE-constrained optimization

Publications and Preprints

• Yueyang Wang, Xili Wang, Kejun Tang, Xiaoliang Wan, Tao Zhou, and Chao Yang. Deep Adaptive Dimension Reduction for Bayesian Inference in Inverse Problems. arXiv:2605.29373, 2026.
• Zhitao Zhu, Xili Wang^✉︎, Shizhe Wu, Jiawei Fu, and Xiaoqing Liu. How Should LLMs Consume High-Quality Data? Optimal Data Scheduling via Quality-Aware Functional Scaling Laws. Conference on Empirical Methods in Natural Language Processing (EMNLP main conference), 2026.
• Yueyang Wang, Jiawei Fu, Baolong Bi, Xili Wang, and Xiaoqing Liu. HE-SNR: Uncovering Latent Logic via Entropy for Guiding Mid-Training on SWE-bench. International Conference on Machine Learning (ICML regular), 2026.
• Yueyang Wang, Kejun Tang, Xili Wang, Xiaoliang Wan, Weiqing Ren, and Chao Yang. Estimating committor functions via deep adaptive sampling on rare transition paths. Journal of Computational Physics, 544:114439, 2026.
• Meituan LongCat Team, including Xili Wang. LongCat-Flash Technical Report. arXiv:2509.01322, 2025.
• Weikang Zhao, Xili Wang^✉︎, Chengdi Ma, Lingbin Kong, Zhaohua Yang, Mingxiang Tuo, Xiaowei Shi, Yitao Zhai, and Xunliang Cai. MUA-RL: Multi-turn User-interacting Agent Reinforcement Learning for agentic tool use. arXiv:2508.18669, 2025.
• Xili Wang, Kejun Tang, Jiayu Zhai, Xiaoliang Wan, and Chao Yang. Deep Adaptive Sampling for Surrogate Modeling Without Labeled Data. Journal of Scientific Computing, 101:77, 2024.
• Xili Wang, Pengfei Yin, Bo Zhang, and Chao Yang. AONN-2: An adjoint-oriented neural network method for PDE-constrained shape optimization. Journal of Computational Physics, 513:113160, 2024.
• 杨超, 王曦立, 尹鹏飞, 张博. 形状优化方法及计算机存储介质和终端设备, 中国专利, CN116680763B[P], 2024-05-17.

^✉︎ Corresponding author.

Honors and Awards

• 北京大学数学科学学院“优秀毕业生”，2026 年
• 2023-2024 学年北京大学优秀科研奖
• 2023-2024 学年北京大学兴业银行奖学金
• 2022-2023 学年北京大学“硕博杯”羽毛球比赛第八名
• 复旦大学“拔尖计划”荣誉学生，2021 年
• 2020-2021 学年复旦大学本科优秀学生奖学金（毕业生奖学金）
• 2019-2020 学年复旦大学本科优秀学生奖学金一等奖（董氏奖学金）
• 2019-2020 学年复旦大学本科生专业奖学金
• 2018-2019 学年复旦大学本科优秀学生奖学金二等奖
• 2018-2019 学年复旦大学本科生专业奖学金