Letian Ruan

I am a junior student at University of Michigan, advised by Mosharaf Chowdhury, affiliated with SymbioticLab and Systems Lab. Previously, I've also been pursuring my dual Bacholr's degree at Shanghai Jiao Tong University, advised by Shixuan Sun in Emerging Parallel Computing Center. Besides, I am also a research intern working on Mooncake at kvcache-ai , mentored by Teng Ma from OSLab of Alibaba Cloud.

My research interests mainly lie in Machine Learning Systems, particularly in designing scalable and efficient systems for LLM training and inference. I am particularly interested in hardware-alignment optimization, large-scale distributed execution and frameworks for AIGC and RL.

CV | Email | GitHub | LinkedIn

Aug '25	Become a member of SymbioticLab , guided by Mosharaf Chowdhury .
May '25	Joined the kvcache-ai community as an intern, mentored by Teng Ma from OSLab of Alibaba Cloud.
Mar '25	Admitted to the University of Michigan, College of Engineering, Computer Science and Engineering Department.
Oct '24	Joined the Emerging Parallel Computing Center as a research assistant under supervision of Shixuan Sun

	Undergraduate Student \| University of Michigan, Ann Arbor August '25 - Present Member of SymbioticLab from CSE department, College of Engineering. Advisor: Prof. Mosharaf Chowdhury.
	Research Intern \| kvcache.ai May '6 - Present Research intern working on improving the performance and scalability of Mooncake under different workloads like RL and PD disaggregation. Mentor: Dr. Teng Ma.
	Undergraduate Student \| Shanghai Jiao Tong University September '22 - Present Member of UM-SJTU Joint Institute for dual Bachelor's degrees. Research on cloud computing and machine learning systems. Advisor: Prof. Shixuan Sun .

FaaSBoard: Efficient Graph Processing with a Disaggregated Architecture on Serverless Services

Under submission. [preprint]

We analyze the limitations of monolithic function architectures in graph processing, and motivate the design of a disaggregated serverless architecture. We introduce FaaSBoard, a graph processing system built on serverless cloud services to validate the effectiveness of the disaggregated architectural design. We conduct a comprehensive evaluation of FaaSBoard to demonstrate its superior performance and cost.

Course review platform for SJTUers

Open-sourse project. [website]

A platform for students to share their course experiences and reviews. As of November 2024, more than 28,000 users have posted over 33,000 reviews for 4,500+ courses.

This template is a modification to Jon Barron's website.