Minchen Yu

21 papers A* 1A 2Misc 1Journal 11Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A conf
Efficient Data Passing for Serverless Inference Workflows: A GPU-Centric Approach.
EuroSys
Hao Wu, Yaochen Liu, Minchen Yu, Qizhen Weng, Junxiao Deng, Yue Yu, Hao Fan, Song Wu, Wei Wang, Hai Jin
2025 — conf
AdaSpec: Adaptive Speculative Decoding for Fast, SLO-Aware Large Language Model Serving.
SoCC
Kaiyu Huang, Hao Wu, Zhubo Shi, Han Zou, Minchen Yu, Qingjiang Shi
2025 J jnl
Janus: Disaggregating Attention and Experts for Scalable MoE Inference.
CoRR
Zhexiang Zhang, Ye Wang, Xiangyu Wang, Yumiao Zhao, Jingzhe Jiang, Qizhen Weng, Shaohuai Shi, Yin Chen, Minchen Yu
2025 J jnl
Making Serverless Computing Extensible: A Case Study of Serverless Data Analytics.
CoRR
Minchen Yu, Yinghao Ren, Jiamu Zhao, Jiaqi Li
2025 J jnl
MemShare: Memory Efficient Inference for Large Reasoning Models through KV Cache Reuse.
CoRR
Kaiwen Chen, Xin Tan, Minchen Yu, Hong Xu
2025 J jnl
Pheromone: Restructuring Serverless Computing With Data-Centric Function Orchestration.
IEEE Trans. Netw.
Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
2025 J jnl
SpecServe: Efficient and SLO-Aware Large Language Model Serving with Adaptive Speculative Decoding.
CoRR
Kaiyu Huang, Hao Wu, Zhubo Shi, Han Zou, Minchen Yu, Qingjiang Shi
2025 — conf
Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference.
USENIX ATC
Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
2025 — conf
Torpor: GPU-Enabled Serverless Computing for Low-Latency, Resource-Efficient Inference.
USENIX ATC
Minchen Yu, Ao Wang, Dong Chen, Haoxuan Yu, Xiaonan Luo, Zhuohao Li, Wei Wang, Ruichuan Chen, Dapeng Nie, Haoran Yang, Yu Ding
2025 J jnl
λScale: Enabling Fast Scaling for Serverless Large Language Model Inference.
CoRR
Minchen Yu, Rui Yang, Chaobo Jia, Zhaoyuan Su, Sheng Yao, Tingfeng Lan, Yuchen Yang, Yue Cheng, Wei Wang, Ao Wang, Ruichuan Chen
2024 J jnl
CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference.
CoRR
Suyi Li, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang
2024 J jnl
FaaSTube: Optimizing GPU-oriented Data Transfer for Serverless Computing.
CoRR
Hao Wu, Junxiao Deng, Minchen Yu, Yue Yu, Yaochen Liu, Hao Fan, Song Wu, Wei Wang
2023 J jnl
FaaSwap: SLO-Aware, GPU-Efficient Serverless Inference via Model Swapping.
CoRR
Minchen Yu, Ao Wang, Dong Chen, Haoxuan Yu, Xiaonan Luo, Zhuohao Li, Wei Wang, Ruichuan Chen, Dapeng Nie, Haoran Yang
2023 Misc conf
Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing.
NSDI
Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
2022 J jnl
Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud.
IEEE Trans. Cloud Comput.
Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
2021 — conf
CrystalPerf: Learning to Characterize the Performance of Dataflow Computation through Code Analysis.
USENIX ATC
Huangshi Tian, Minchen Yu, Wei Wang
2021 A conf
Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning.
ICDCS
Minchen Yu, Zhifeng Jiang, Hok Chun Ng, Wei Wang, Ruichuan Chen, Bo Li
2021 J jnl
Restructuring Serverless Computing with Data-Centric Function Orchestration.
CoRR
Minchen Yu, Tingjia Cao, Wei Wang, Ruichuan Chen
2020 A* conf
RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data.
INFOCOM
Minchen Yu, Yinghao Yu, Yunchuan Zheng, Baichen Yang, Wei Wang
2019 — conf
MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving.
USENIX ATC
Chengliang Zhang, Minchen Yu, Wei Wang, Feng Yan
2018 — conf
Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning.
SoCC
Huangshi Tian, Minchen Yu, Wei Wang