Charlie Ruan

According to our database, Charlie Ruan authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

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

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

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

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