Minchen Yu

According to our database, Minchen Yu authored at least 18 papers between 2018 and 2025.

Collaborative distances:

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

2025

MemShare: Memory Efficient Inference for Large Reasoning Models through KV Cache Reuse.

Kaiwen Chen, Xin Tan, Minchen Yu, Hong Xu

CoRR, July, 2025

Making Serverless Computing Extensible: A Case Study of Serverless Data Analytics.

Minchen Yu, Yinghao Ren, Jiamu Zhao, Jiaqi Li

CoRR, July, 2025

SpecServe: Efficient and SLO-Aware Large Language Model Serving with Adaptive Speculative Decoding.

Kaiyu Huang, Hao Wu, Zhubo Shi, Han Zou, Minchen Yu, Qingjiang Shi

CoRR, March, 2025

λScale: Enabling Fast Scaling for Serverless Large Language Model Inference.

Minchen Yu, Rui Yang, Chaobo Jia, Zhaoyuan Su, Sheng Yao, Tingfeng Lan, Yuchen Yang, Yue Cheng, Wei Wang, Ao Wang, Ruichuan Chen

CoRR, February, 2025

Pheromone: Restructuring Serverless Computing With Data-Centric Function Orchestration.

Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen

IEEE Trans. Netw., 2025

Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference.

Minchen Yu, Ao Wang, Dong Chen, Haoxuan Yu, Xiaonan Luo, Zhuohao Li, Wei Wang, Ruichuan Chen, Dapeng Nie, Haoran Yang, Yu Ding

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference.

Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

2024

FaaSTube: Optimizing GPU-oriented Data Transfer for Serverless Computing.

Hao Wu, Junxiao Deng, Minchen Yu, Yue Yu, Yaochen Liu, Hao Fan, Song Wu, Wei Wang

CoRR, 2024

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

Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang

CoRR, 2024

2023

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

Minchen Yu, Ao Wang, Dong Chen, Haoxuan Yu, Xiaonan Luo, Zhuohao Li, Wei Wang, Ruichuan Chen, Dapeng Nie, Haoran Yang

CoRR, 2023

Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing.

Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen

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.

Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan

IEEE Trans. Cloud Comput., 2022

2021

Restructuring Serverless Computing with Data-Centric Function Orchestration.

Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen

CoRR, 2021

CrystalPerf: Learning to Characterize the Performance of Dataflow Computation through Code Analysis.

Huangshi Tian, Minchen Yu, Wei Wang

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning.

Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li

Proceedings of the 41st IEEE International Conference on Distributed Computing Systems, 2021

2020

RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data.

Minchen Yu, Yinghao Yu, Yunchuan Zheng, Baichen Yang, Wei Wang

Proceedings of the 39th IEEE Conference on Computer Communications, 2020

2019

MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving.

Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan

Proceedings of the 2019 USENIX Annual Technical Conference, 2019

2018

Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning.

Huangshi Tian, Minchen Yu, Wei Wang

Proceedings of the ACM Symposium on Cloud Computing, 2018