Minchen Yu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 10

Top Topics

Structured Data

Environmentally Friendly

Machine Learning

Top Venues

USENIX Annual Technical Conference

IEEE Trans. Cloud Comput.

Publications

Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. CoRR (2024)
Minchen Yu, Ao Wang, Dong Chen, Haoxuan Yu, Xiaonan Luo, Zhuohao Li, Wei Wang, Ruichuan Chen, Dapeng Nie, Haoran Yang
FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model Swapping. CoRR (2023)
Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing. NSDI (2023)
Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud. IEEE Trans. Cloud Comput. 10 (3) (2022)
Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
Restructuring Serverless Computing with Data-Centric Function Orchestration. CoRR (2021)
Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li
Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning. ICDCS (2021)
Huangshi Tian, Minchen Yu, Wei Wang
CrystalPerf: Learning to Characterize the Performance of Dataflow Computation through Code Analysis. USENIX Annual Technical Conference (2021)
Minchen Yu, Yinghao Yu, Yunchuan Zheng, Baichen Yang, Wei Wang
RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data. INFOCOM (2020)
Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. USENIX Annual Technical Conference (2019)
Huangshi Tian, Minchen Yu, Wei Wang
Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning. SoCC (2018)