Yue Cheng

Orcid: 0000-0003-1695-4864

Affiliations:

University of Virginia, Charlottesville, VA, USA
George Mason University, Fairfax, VA, USA
Virginia Tech, Blacksburg, VA, USA (PhD 2017)

According to our database¹, Yue Cheng authored at least 47 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask.

[BibT_eX]

[DOI]

CoRR, 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

InfiniStore: Elastic Serverless Cloud Storage.

[BibT_eX]

[DOI]

Proc. VLDB Endow., 2023

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions.

[BibT_eX]

[DOI]

CoRR, 2023

SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training.

[BibT_eX]

[DOI]

Redwan Ibne Seraj Khan

Ahmad Hossein Yazdani

Proceedings of the 21st USENIX Conference on File and Storage Technologies, 2023

Towards cost-effective and resource-aware aggregation at Edge for Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Big Data, 2023

λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions.

[BibT_eX]

[DOI]

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Sion: Elastic Serverless Cloud Storage.

[BibT_eX]

[DOI]

CoRR, 2022

Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.

[BibT_eX]

[DOI]

CoRR, 2022

A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems.

[BibT_eX]

[DOI]

CoRR, 2022

Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

SFS: Smart OS Scheduling for Serverless Functions.

[BibT_eX]

[DOI]

Proceedings of the SC22: International Conference for High Performance Computing, 2022

2021

Community-based Layerwise Distributed Training of Graph Convolutional Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.

[BibT_eX]

[DOI]

CoRR, 2021

FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute.

[BibT_eX]

[DOI]

Proceedings of the 2021 USENIX Annual Technical Conference, 2021

FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2021

Mind the Gap: Broken Promises of CPU Reservations in Containerized Multi-tenant Clouds.

[BibT_eX]

[DOI]

Proceedings of the SoCC '21: ACM Symposium on Cloud Computing, 2021

Asynchronous Federated Learning for Sensor Data with Concept Drift.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Customizable Scale-Out Key-Value Stores.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2020

FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.

[BibT_eX]

[DOI]

CoRR, 2020

Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training.

[BibT_eX]

[DOI]

CoRR, 2020

Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

TiFL: A Tier-based Federated Learning System.

[BibT_eX]

[DOI]

Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache.

[BibT_eX]

[DOI]

Proceedings of the 18th USENIX Conference on File and Storage Technologies, 2020

Wukong: a scalable and locality-enhanced framework for serverless parallel computing.

[BibT_eX]

[DOI]

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design.

[BibT_eX]

[DOI]

IEEE Trans. Parallel Distributed Syst., 2019

vCPU as a container: towards accurate CPU allocation for VMs.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2019

In Search of a Fast and Efficient Serverless DAG Engine.

[BibT_eX]

[DOI]

Proceedings of the IEEE/ACM Fourth International Parallel Data Systems Workshop, 2019

Towards Taming the Resource and Data Heterogeneity in Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Bolt: Towards a Scalable Docker Registry via Hyperconvergence.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Cloud Computing, 2019

2018

bespoKV: application tailored scale-out key-value stores.

[BibT_eX]

[DOI]

Proceedings of the International Conference for High Performance Computing, 2018

Chameleon: An Adaptive Wear Balancer for Flash Clusters.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

Improving Docker Registry Design Based on Production Workload Analysis.

[BibT_eX]

[DOI]

Proceedings of the 16th USENIX Conference on File and Storage Technologies, 2018

Analyzing Alibaba's Co-located Datacenter Workloads.

[BibT_eX]

[DOI]

Yue Cheng

Ali Anwar

Xuejing Duan

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study.

[BibT_eX]

[DOI]

Yue Cheng

Zheng Chai

Ali Anwar

Proceedings of the 9th Asia-Pacific Workshop on Systems, 2018

2016

Provider versus Tenant Pricing Games for Hybrid Object Stores in the Cloud.

[BibT_eX]

[DOI]

IEEE Internet Comput., 2016

Erasing Belady's Limitations: In Search of Flash Cache Offline Optimality.

[BibT_eX]

[DOI]

Proceedings of the 2016 USENIX Annual Technical Conference, 2016

Towards Managing Variability in the Cloud.

[BibT_eX]

[DOI]

Ali Anwar

Yue Cheng

Ali Raza Butt

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

MOS: Workload-aware Elasticity for Cloud Object Stores.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016

ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes.

[BibT_eX]

[DOI]

Proceedings of the 8th USENIX Workshop on Hot Topics in Storage and File Systems, 2016

2015

Taming the cloud object storage with MOS.

[BibT_eX]

[DOI]

Proceedings of the 10th Parallel Data Storage Workshop, 2015

CAST: Tiering Storage for Data Analytics in the Cloud.

[BibT_eX]

[DOI]

Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015

Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant.

[BibT_eX]

[DOI]

Proceedings of the 7th USENIX Workshop on Hot Topics in Cloud Computing, 2015

An in-memory object caching framework with adaptive load balancing.

[BibT_eX]

[DOI]

Yue Cheng

Aayush Gupta

Ali Raza Butt

Proceedings of the Tenth European Conference on Computer Systems, 2015

2013

High performance in-memory caching through flexible fine-grained services.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, SOCC '13, 2013

Yue Cheng

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