Minchen Yu

Orcid: 0000-0002-6797-9028

According to our database1, Minchen Yu authored at least 10 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference.
CoRR, 2024

2023
FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model Swapping.
CoRR, 2023

Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing.
Proceedings of the 20th USENIX Symposium on Networked Systems Design and Implementation, 2023

2022
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud.
IEEE Trans. Cloud Comput., 2022

2021
Restructuring Serverless Computing with Data-Centric Function Orchestration.
CoRR, 2021

CrystalPerf: Learning to Characterize the Performance of Dataflow Computation through Code Analysis.
Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning.
Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020
RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving.
Proceedings of the 2019 USENIX Annual Technical Conference, 2019

2018
Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning.
Proceedings of the ACM Symposium on Cloud Computing, 2018


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