Continuum: A Platform for Cost-Aware, Low-Latency Continual Learning. - Huangshi Tian; Minchen Yu; Wei Wang 030 (SoCC, 2018)

MArk: Exploiting Cloud Services for Cost-Effective, SLO-Aware Machine Learning Inference Serving. - Chengliang Zhang; Minchen Yu; Wei Wang 030; Feng Yan 001 (USENIX ATC, 2019)

RepBun: Load-Balanced, Shuffle-Free Cluster Caching for Structured Data. - Minchen Yu; Yinghao Yu; Yunchuan Zheng; Baichen Yang; Wei Wang 030 (INFOCOM, 2020)

Gillis: Serving Large Neural Networks in Serverless Functions with Automatic Model Partitioning. - Minchen Yu; Zhifeng Jiang 001; Hok Chun Ng; Wei Wang 030; Ruichuan Chen; Bo Li 001 (ICDCS, 2021)

CrystalPerf: Learning to Characterize the Performance of Dataflow Computation through Code Analysis. - Huangshi Tian; Minchen Yu; Wei Wang 030 (USENIX ATC, 2021)

Restructuring Serverless Computing with Data-Centric Function Orchestration. - Minchen Yu; Tingjia Cao; Wei Wang 030; Ruichuan Chen (CoRR, 2021)

Enabling Cost-Effective, SLO-Aware Machine Learning Inference Serving on Public Cloud. - Chengliang Zhang; Minchen Yu; Wei Wang 030; Feng Yan 001 (IEEE Trans. Cloud Comput., 2022)

Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing. - Minchen Yu; Tingjia Cao; Wei Wang 030; Ruichuan Chen (NSDI, 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 030; Ruichuan Chen; Dapeng Nie; Haoran Yang (CoRR, 2023)

CaraServe: CPU-Assisted and Rank-Aware LoRA Serving for Generative LLM Inference. - Suyi Li 002; Hanfeng Lu; Tianyuan Wu; Minchen Yu; Qizhen Weng; Xusheng Chen; Yizhou Shan; Binhang Yuan; Wei Wang 030 (CoRR, 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 030 (CoRR, 2024)

Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference. - Suyi Li 002; Hanfeng Lu; Tianyuan Wu; Minchen Yu; Qizhen Weng; Xusheng Chen; Yizhou Shan; Binhang Yuan; Wei Wang 030 (USENIX ATC, 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 030; Ruichuan Chen; Dapeng Nie; Haoran Yang; Yu Ding (USENIX ATC, 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 001; Wei Wang 030; Ao Wang; Ruichuan Chen (CoRR, 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, 2025)

Making Serverless Computing Extensible: A Case Study of Serverless Data Analytics. - Minchen Yu; Yinghao Ren; Jiamu Zhao; Jiaqi Li (CoRR, 2025)

MemShare: Memory Efficient Inference for Large Reasoning Models through KV Cache Reuse. - Kaiwen Chen; Xin Tan; Minchen Yu; Hong Xu (CoRR, 2025)