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ORCIDYue Cheng 0001
Person information
- affiliation: University of Virginia, Charlottesville, VA, USA
- affiliation: George Mason University, Fairfax, VA, USA
- affiliation (PhD 2017): Virginia Tech, Blacksburg, VA, USA
Other persons with the same name
- Yue Cheng — disambiguation page
- Yue Cheng 0002 — University of Alberta, Department of Electrical and Computer Engineering, Edmonton, AB, Canada (and 1 more)
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2020 – today
- 2024
[j6]Junxiang Wang
, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao:
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4491-4501 (2024)- [i20]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:
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR abs/2401.00625 (2024) - [i19]Zhaoyuan Su, Ammar Ahmed, Zirui Wang, Ali Anwar, Yue Cheng:
Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. CoRR abs/2402.13429 (2024) - [i18]Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng:
Algorithmic Complexity Attacks on Dynamic Learned Indexes. CoRR abs/2403.12433 (2024) - 2023
- [j5]Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Vasily Tarasov, Dimitrios Skourtis, Feng Yan, Yue Cheng:
InfiniStore: Elastic Serverless Cloud Storage. Proc. VLDB Endow. 16(7): 1629-1642 (2023) - [j4]Rui Yang, Evgenios M. Kornaropoulos, Yue Cheng:
Algorithmic Complexity Attacks on Dynamic Learned Indexes. Proc. VLDB Endow. 17(4): 780-793 (2023) - [c32]Benjamin Carver, Runzhou Han, Jingyuan Zhang, Mai Zheng, Yue Cheng:
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions. ASPLOS (4) 2023: 394-411 - [c31]Ahmad Faraz Khan, Yuze Li, Xinran Wang, Sabaat Haroon, Haider Ali, Yue Cheng, Ali Raza Butt, Ali Anwar:
Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. IEEE Big Data 2023: 690-699 - [c30]Redwan Ibne Seraj Khan, Ahmad Hossein Yazdani, Yuqi Fu, Arnab K. Paul, Bo Ji, Xun Jian, Yue Cheng, Ali Raza Butt:
SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training. FAST 2023: 135-152 - [i17]Benjamin Carver, Runzhou Han, Jingyaun Zhang, Mai Zheng, Yue Cheng:
λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions. CoRR abs/2306.11877 (2023) - [i16]Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao:
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction. CoRR abs/2308.13466 (2023) - 2022
- [c29]Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen:
SFS: Smart OS Scheduling for Serverless Functions. SC 2022: 42:1-42:16 - [c28]Zhaoyuan Su, Sheng Di, Ali Murat Gok, Yue Cheng, Franck Cappello:
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. DRBSD@SC 2022: 44-53 - [i15]Ahmad Khan, Yuze Li, Ali Anwar, Yue Cheng, Thang Hoang, Nathalie Baracaldo, Ali Raza Butt:
A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems. CoRR abs/2204.07767 (2022) - [i14]Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng:
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization. CoRR abs/2206.00057 (2022) - [i13]Jingyuan Zhang, Ao Wang, Xiaolong Ma, Benjamin Carver, Nicholas John Newman, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
Sion: Elastic Serverless Cloud Storage. CoRR abs/2209.01496 (2022) - [i12]Yuqi Fu, Li Liu, Haoliang Wang, Yue Cheng, Songqing Chen:
SFS: Smart OS Scheduling for Serverless Functions. CoRR abs/2209.01709 (2022) - 2021
- [c27]Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala:
Asynchronous Federated Learning for Sensor Data with Concept Drift. IEEE BigData 2021: 4822-4831 - [c26]Li Liu, Haoliang Wang, An Wang, Mengbai Xiao, Yue Cheng, Songqing Chen:
Mind the Gap: Broken Promises of CPU Reservations in Containerized Multi-tenant Clouds. SoCC 2021: 243-257 - [c25]Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala:
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. SC 2021: 60 - [c24]Ao Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng:
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute. USENIX Annual Technical Conference 2021: 443-457 - [i11]Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao:
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework. CoRR abs/2105.09837 (2021) - [i10]Ao Wang, Shuai Chang, Huangshi Tian, Hongqi Wang, Haoran Yang, Huiba Li, Rui Du, Yue Cheng:
FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute. CoRR abs/2105.11229 (2021) - [i9]Yujing Chen, Zheng Chai, Yue Cheng, Huzefa Rangwala:
Asynchronous Federated Learning for Sensor Data with Concept Drift. CoRR abs/2109.00151 (2021) - [i8]Hongyi Li, Junxiang Wang, Yongchao Wang, Yue Cheng, Liang Zhao:
Community-based Layerwise Distributed Training of Graph Convolutional Networks. CoRR abs/2112.09335 (2021) - 2020
- [j3]Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt:
Customizable Scale-Out Key-Value Stores. IEEE Trans. Parallel Distributed Syst. 31(9): 2081-2096 (2020) - [c23]Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng:
Wukong: a scalable and locality-enhanced framework for serverless parallel computing. SoCC 2020: 1-15 - [c22]Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. FAST 2020: 267-281 - [c21]Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng:
TiFL: A Tier-based Federated Learning System. HPDC 2020: 125-136 - [c20]Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao:
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework. ICDM 2020: 591-600 - [i7]Zheng Chai, Ahsan Ali, Syed Zawad, Stacey Truex, Ali Anwar, Nathalie Baracaldo, Yi Zhou, Heiko Ludwig, Feng Yan, Yue Cheng:
TiFL: A Tier-based Federated Learning System. CoRR abs/2001.09249 (2020) - [i6]Ao Wang, Jingyuan Zhang, Xiaolong Ma, Ali Anwar, Lukas Rupprecht, Dimitrios Skourtis, Vasily Tarasov, Feng Yan, Yue Cheng:
InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. CoRR abs/2001.10483 (2020) - [i5]Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao:
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training. CoRR abs/2009.04053 (2020) - [i4]Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala:
FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data. CoRR abs/2010.05958 (2020) - [i3]Benjamin Carver, Jingyuan Zhang, Ao Wang, Ali Anwar, Panruo Wu, Yue Cheng:
Wukong: A Scalable and Locality-Enhanced Framework for Serverless Parallel Computing. CoRR abs/2010.07268 (2020)
2010 – 2019
- 2019
- [j2]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:
MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design. IEEE Trans. Parallel Distributed Syst. 30(8): 1843-1856 (2019) - [c19]Michael Littley, Ali Anwar, Hannan Fayyaz, Zeshan Fayyaz, Vasily Tarasov, Lukas Rupprecht, Dimitrios Skourtis, Mohamed Mohamed, Heiko Ludwig, Yue Cheng, Ali Raza Butt:
Bolt: Towards a Scalable Docker Registry via Hyperconvergence. CLOUD 2019: 358-366 - [c18]Zheng Chai, Hannan Fayyaz, Zeshan Fayyaz, Ali Anwar, Yi Zhou, Nathalie Baracaldo, Heiko Ludwig, Yue Cheng:
Towards Taming the Resource and Data Heterogeneity in Federated Learning. OpML 2019: 19-21 - [c17]Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng:
In Search of a Fast and Efficient Serverless DAG Engine. PDSW@SC 2019: 1-10 - [c16]Li Liu, Haoliang Wang, An Wang, Mengbai Xiao, Yue Cheng, Songqing Chen:
vCPU as a container: towards accurate CPU allocation for VMs. VEE 2019: 193-206 - [i2]Benjamin Carver, Jingyuan Zhang, Ao Wang, Yue Cheng:
In Search of a Fast and Efficient Serverless DAG Engine. CoRR abs/1910.05896 (2019) - 2018
- [c15]Yue Cheng, Zheng Chai, Ali Anwar:
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. APSys 2018: 12:1-12:3 - [c14]Yue Cheng, Ali Anwar, Xuejing Duan:
Analyzing Alibaba's Co-located Datacenter Workloads. IEEE BigData 2018: 292-297 - [c13]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:
Improving Docker Registry Design Based on Production Workload Analysis. FAST 2018: 265-278 - [c12]Nannan Zhao, Ali Anwar, Yue Cheng, Mohammed Salman, Daping Li, Jiguang Wan, Changsheng Xie, Xubin He, Feiyi Wang, Ali Raza Butt:
Chameleon: An Adaptive Wear Balancer for Flash Clusters. IPDPS 2018: 1163-1172 - [c11]Ali Anwar, Yue Cheng, Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali Raza Butt:
bespoKV: application tailored scale-out key-value stores. SC 2018: 2:1-2:16 - [i1]Yue Cheng, Zheng Chai, Ali Anwar:
Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. CoRR abs/1808.02919 (2018) - 2016
- [j1]Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt:
Provider versus Tenant Pricing Games for Hybrid Object Stores in the Cloud. IEEE Internet Comput. 20(3): 28-35 (2016) - [c10]Ali Anwar, Yue Cheng, Hai Huang, Ali Raza Butt:
ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes. HotStorage 2016 - [c9]Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt:
MOS: Workload-aware Elasticity for Cloud Object Stores. HPDC 2016: 177-188 - [c8]Ali Anwar, Yue Cheng, Ali Raza Butt:
Towards Managing Variability in the Cloud. IPDPS Workshops 2016: 1081-1084 - [c7]Yue Cheng, Fred Douglis, Philip Shilane, Grant Wallace, Peter Desnoyers, Kai Li:
Erasing Belady's Limitations: In Search of Flash Cache Offline Optimality. USENIX Annual Technical Conference 2016: 379-392 - 2015
- [c6]Yue Cheng, Aayush Gupta, Ali Raza Butt:
An in-memory object caching framework with adaptive load balancing. EuroSys 2015: 4:1-4:16 - [c5]Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt:
Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant. HotCloud 2015 - [c4]Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt:
Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant. HotStorage 2015 - [c3]Yue Cheng, M. Safdar Iqbal, Aayush Gupta, Ali Raza Butt:
CAST: Tiering Storage for Data Analytics in the Cloud. HPDC 2015: 45-56 - [c2]Ali Anwar, Yue Cheng, Aayush Gupta, Ali Raza Butt:
Taming the cloud object storage with MOS. PDSW@SC 2015: 7-12 - 2013
- [c1]Yue Cheng, Aayush Gupta, Anna Povzner, Ali Raza Butt:
High performance in-memory caching through flexible fine-grained services. SoCC 2013: 56:1-56:2
Coauthor Index
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last updated on 2024-05-10 02:17 CEST by the dblp team
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