Yue Cheng

72 papers A* 2A 13B 3Journal 31Unranked 22
YearRankTypeTitle / Venue / Authors
2026 — conf
NotebookOS: A Replicated Notebook Platform for Interactive Training with On-Demand GPUs.
ASPLOS (1)
Benjamin Carver, Jingyuan Zhang, Haoliang Wang, Kanak Mahadik, Yue Cheng
2025 A* conf
Centralization in the Decentralized Web: Challenges and Opportunities in IPFS Data Management.
WWW
Ruizhe Shi, Ruizhi Cheng, YuQi Fu, Bo Han, Yue Cheng, Songqing Chen
2025 — conf
Concurrency-Informed Orchestration for Serverless Functions.
ASPLOS (2)
Qichang Liu, Yue Cheng, Haiying Shen, Ao Wang, Bharathan Balaji
2025 A conf
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
SDM
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
2025 A conf
The Decentralization Dilemma: Performance Trade-Offs in IPFS and Breakpoints.
IMC
Ruizhe Shi, YuQi Fu, Ruizhi Cheng, Bo Han, Yue Cheng, Songqing Chen
2025 J jnl
ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates.
CoRR
Tingfeng Lan, Yusen Wu, Bin Ma, Zhaoyuan Su, Rui Yang, Tekin Bicer, Dong Li, Yue Cheng
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 — conf
A Closer Look into IPFS: Accessibility, Content, and Performance.
SIGMETRICS/Performance (Abstracts)
Ruizhe Shi, Ruizhi Cheng, Bo Han, Yue Cheng, Songqing Chen
2024 J jnl
A Closer Look into IPFS: Accessibility, Content, and Performance.
Proc. ACM Meas. Anal. Comput. Syst.
Ruizhe Shi, Ruizhi Cheng, Bo Han, Yue Cheng, Songqing Chen
2024 — conf
ALPS: An Adaptive Learning, Priority OS Scheduler for Serverless Functions.
USENIX ATC
YuQi Fu, Ruizhe Shi, Haoliang Wang, Songqing Chen, Yue Cheng
2024 J jnl
Algorithmic Complexity Attacks on Dynamic Learned Indexes.
CoRR
Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng
2024 J jnl
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.
CoRR
Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao
2024 J jnl
Ensuring Fair LLM Serving Amid Diverse Applications.
CoRR
Redwan Ibne Seraj Khan, Kunal Jain, Haiying Shen, Ankur Mallick, Anjaly Parayil, Anoop Kulkarni, Steve Kofsky, Pankhuri Choudhary, Renée St. Amant, Rujia Wang, Yue Cheng, Ali Raza Butt, Victor Rühle, Chetan Bansal, Saravan Rajmohan
2024 J jnl
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask.
CoRR
Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng
2024 J jnl
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask.
Proc. VLDB Endow.
Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng
2024 — conf
FedCaSe: Enhancing Federated Learning with Heterogeneity-aware Caching and Scheduling.
SoCC
Redwan Ibne Seraj Khan, Arnab K. Paul, Yue Cheng, Xun Steve Jian, Ali Raza Butt
2024 J jnl
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.
IEEE Trans. Neural Networks Learn. Syst.
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
2023 J jnl
Algorithmic Complexity Attacks on Dynamic Learned Indexes.
Proc. VLDB Endow.
Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng
2023 J jnl
InfiniStore: Elastic Serverless Cloud Storage.
Proc. VLDB Endow.
Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Vasily Tarasov, Dimitrios Skourtis, Feng Yan, Yue Cheng
2023 A conf
SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training.
FAST
Redwan Ibne Seraj Khan, Ahmad Hossein Yazdani, YuQi Fu, Arnab K. Paul, Bo Ji, Xun Jian, Yue Cheng, Ali Raza Butt
2023 J jnl
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
CoRR
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
2023 B conf
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning.
IEEE Big Data
Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar
2023 — conf
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions.
ASPLOS (4)
Benjamin Carver, Runzhou Han, Jingyuan Zhang, Mai Zheng, Yue Cheng
2023 J jnl
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions.
CoRR
Benjamin Carver, Runzhou Han, Jingyuan Zhang, Mai Zheng, Yue Cheng
2022 J jnl
A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems.
CoRR
Ahmad Khan, Yuze Li, Ali Anwar, Yue Cheng, Thang Hoang, Nathalie Baracaldo, Ali Raza Butt
2022 J jnl
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR
Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng
2022 A conf
SFS: Smart OS Scheduling for Serverless Functions.
SC
YuQi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen
2022 J jnl
SFS: Smart OS Scheduling for Serverless Functions.
CoRR
YuQi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen
2022 J jnl
Sion: Elastic Serverless Cloud Storage.
CoRR
Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
2022 — conf
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets.
DRBSD@SC
Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello
2021 — conf
Asynchronous Federated Learning for Sensor Data with Concept Drift.
IEEE BigData
Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala
2021 J jnl
Asynchronous Federated Learning for Sensor Data with Concept Drift.
CoRR
Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala
2021 J jnl
Community-based Layerwise Distributed Training of Graph Convolutional Networks.
CoRR
Hongyi Li, Junxiang Wang, Yongchao Wang, Yue Cheng, Liang Zhao
2021 — conf
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute.
USENIX ATC
Ao Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng
2021 J jnl
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute.
CoRR
Ao Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng
2021 A conf
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.
SC
Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala
2021 — conf
Mind the Gap: Broken Promises of CPU Reservations in Containerized Multi-tenant Clouds.
SoCC
Li Liu, Haoliang Wang, An Wang, Mengbai Xiao, Yue Cheng, Songqing Chen
2021 J jnl
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.
CoRR
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
2020 J jnl
Customizable Scale-Out Key-Value Stores.
IEEE Trans. Parallel Distributed Syst.
Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt
2020 J jnl
FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.
CoRR
Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala
2020 A conf
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache.
FAST
Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
2020 J jnl
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache.
CoRR
Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng
2020 A conf
TiFL: A Tier-based Federated Learning System.
HPDC
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2020 J jnl
TiFL: A Tier-based Federated Learning System.
CoRR
Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng
2020 A* conf
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework.
ICDM
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao
2020 J jnl
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training.
CoRR
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao
2020 J jnl
Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing.
CoRR
Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
2020 — conf
Wukong: a scalable and locality-enhanced framework for serverless parallel computing.
SoCC
Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng
2019 B conf
Bolt: Towards a Scalable Docker Registry via Hyperconvergence.
CLOUD
Michael Littley, Ali Anwar, Hannan Fayyaz, Zeshan Fayyaz, Vasily Tarasov, Lukas Rupprecht, Dimitrios Skourtis, Mohamed Mohamed, Heiko Ludwig, Yue Cheng, Ali Raza Butt
2019 — conf
In Search of a Fast and Efficient Serverless DAG Engine.
PDSW@SC
Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng
2019 J jnl
In Search of a Fast and Efficient Serverless DAG Engine.
CoRR
Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng
2019 J jnl
MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design.
IEEE Trans. Parallel Distributed Syst.
Kirk W. Cameron, Ali Anwar, Yue Cheng, Li Xu, Bo Li, Uday Ananth, Jon Bernard, Chandler Jearls, Thomas Lux, Yili Hong, Layne T. Watson, Ali Raza Butt
2019 — conf
Towards Taming the Resource and Data Heterogeneity in Federated Learning.
OpML
Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng
2019 B conf
vCPU as a container: towards accurate CPU allocation for VMs.
VEE
Li Liu, Haoliang Wang, An Wang, Mengbai Xiao, Yue Cheng, Songqing Chen
2018 — conf
Analyzing Alibaba's Co-located Datacenter Workloads.
IEEE BigData
Yue Cheng, Ali Anwar, Xuejing Duan
2018 A conf
Chameleon: An Adaptive Wear Balancer for Flash Clusters.
IPDPS
Nannan Zhao, Ali Anwar, Yue Cheng, Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He, Feiyi Wang, Ali Raza Butt
2018 — conf
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study.
APSys
Yue Cheng, Zheng Chai, Ali Anwar
2018 J jnl
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study.
CoRR
Yue Cheng, Zheng Chai, Ali Anwar
2018 A conf
Improving Docker Registry Design Based on Production Workload Analysis.
FAST
Ali Anwar, Mohamed Mohamed, Vasily Tarasov, Michael Littley, Lukas Rupprecht, Yue Cheng, Nannan Zhao, Dimitris Skourtis, Amit Warke, Heiko Ludwig, Dean Hildebrand, Ali Raza Butt
2018 A conf
bespoKV: application tailored scale-out key-value stores.
SC
Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt
2017 — —
Workload-aware Efficient Storage Systems.
Yue Cheng
2016 — conf
ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes.
HotStorage
Ali Anwar, Yue Cheng, Hai Huang, Ali Raza Butt
2016 — conf
Erasing Belady's Limitations: In Search of Flash Cache Offline Optimality.
USENIX ATC
Yue Cheng, Fred Douglis, Philip Shilane, Grant Wallace, Peter Desnoyers, Kai Li
2016 A conf
MOS: Workload-aware Elasticity for Cloud Object Stores.
HPDC
Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt
2016 J jnl
Provider versus Tenant Pricing Games for Hybrid Object Stores in the Cloud.
IEEE Internet Comput.
Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt
2016 — conf
Towards Managing Variability in the Cloud.
IPDPS Workshops
Ali Anwar, Yue Cheng, Ali Raza Butt
2015 A conf
An in-memory object caching framework with adaptive load balancing.
EuroSys
Yue Cheng, Aayush Gupta, Ali Raza Butt
2015 A conf
CAST: Tiering Storage for Data Analytics in the Cloud.
HPDC
Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt
2015 — conf
Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant.
HotCloud
Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt
2015 — conf
Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant.
HotStorage
Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt
2015 — conf
Taming the cloud object storage with MOS.
PDSW@SC
Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt
2013 — conf
High performance in-memory caching through flexible fine-grained services.
SoCC
Yue Cheng, Aayush Gupta, Anna Povzner, Ali Raza Butt