Charlie Ruan

According to our database, Charlie Ruan authored at least 13 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow.

Haocheng Xi, Charlie Ruan, Peiyuan Liao, Yujun Lin, Han Cai, Yilong Zhao, Shuo Yang, Kurt Keutzer, Song Han, Ligeng Zhu

CoRR, January, 2026

FlashInfer-Bench: Building the Virtuous Cycle for AI-driven LLM Systems.

Shanli Xing, Yiyan Zhai, Alexander Jiang, Yixin Dong, Yong Wu, Zihao Ye, Charlie Ruan, Yingyi Huang, Yineng Zhang, Liangsheng Yin, Aksara Bayyapu, Luis Ceze, Tianqi Chen

CoRR, January, 2026

2025

FrontierCS: Evolving Challenges for Evolving Intelligence.

Qiuyang Mang, Wenhao Chai, Zhifei Li, Huanzhi Mao, Shang Zhou, Alexander Du, Hanchen Li, Shu Liu, Edwin Chen, Yichuan Wang, Xieting Chu, Zerui Cheng, Yuan Xu, Tian Xia, Zirui Wang, Tianneng Shi, Jianzhu Yao, Yilong Zhao, Qizheng Zhang, Charlie Ruan, Zeyu Shen, Kaiyuan Liu, Runyuan He, Dong Xing, Zerui Li, Zirong Zeng, Yige Jiang, Lufeng Cheng, Ziyi Zhao, Youran Sun, Wesley Zheng, Meiyuwang Zhang, Ruyi Ji, Xuechang Tu, Zihan Zheng, Zexing Chen, Kangyang Zhou, Zhaozi Wang, Jingbang Chen, Aleksandra Korolova, Peter Henderson, Pramod Viswanath, Vijay Ganesh, Saining Xie, Zhuang Liu, Dawn Song, Sewon Min, Ion Stoica, Joseph E. Gonzalez, Jingbo Shang, Alvin Cheung

CoRR, December, 2025

SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent.

Shiyi Cao, Dacheng Li, Fangzhou Zhao, Shuo Yuan, Sumanth Hegde, Connor Chen, Charlie Ruan, Tyler Griggs, Shu Liu, Eric Tang, Richard Liaw, Philipp Moritz, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica

CoRR, November, 2025

Productively Deploying Emerging Models on Emerging Platforms: A Top-Down Approach for Testing and Debugging.

Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie Ruan, Yong Yu, Lingming Zhang, Tianqi Chen

Proc. ACM Softw. Eng., 2025

XGrammar: Flexible and Efficient Structured Generation Engine for Large Language Models.

Yixin Dong, Charlie F. Ruan, Yaxing Cai, Ziyi Xu, Yilong Zhao, Ruihang Lai, Tianqi Chen

Proceedings of the Eighth Conference on Machine Learning and Systems, 2025

2024

WebLLM: A High-Performance In-Browser LLM Inference Engine.

Charlie F. Ruan, Yucheng Qin, Xun Zhou, Ruihang Lai, Hongyi Jin, Yixin Dong, Bohan Hou, Meng-Shiun Yu, Yiyan Zhai, Sudeep Agarwal, Hangrui Cao, Siyuan Feng, Tianqi Chen

CoRR, 2024

A System for Microserving of LLMs.

Hongyi Jin, Ruihang Lai, Charlie F. Ruan, Yingcheng Wang, Todd C. Mowry, Xupeng Miao, Zhihao Jia, Tianqi Chen

CoRR, 2024

Local deployment of large-scale music AI models on commodity hardware.

Xun Zhou, Charlie Ruan, Zihe Zhao, Tianqi Chen, Chris Donahue

CoRR, 2024

Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development.

Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen

CoRR, 2024

2023

Scale up with Order: Finding Good Data Permutations for Distributed Training.

Wentao Guo, Khiem Pham, Yucheng Lu, Tiancheng Yuan, Charlie F. Ruan, Christopher De Sa

CoRR, 2023

CD-GraB: Coordinating Distributed Example Orders for Provably Accelerated Training.

A. Feder Cooper, Wentao Guo, Khiem Pham, Tiancheng Yuan, Charlie Ruan, Yucheng Lu, Christopher De Sa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Approximating Martingale Process for Variance Reduction in Deep Reinforcement Learning with Large State Space.

Charlie Ruan

CoRR, 2022