High performance in-memory caching through flexible fine-grained services. - Yue Cheng 001; Aayush Gupta; Anna Povzner; Ali Raza Butt (SoCC, 2013)

An in-memory object caching framework with adaptive load balancing. - Yue Cheng 001; Aayush Gupta; Ali Raza Butt (EuroSys, 2015)

Pricing Games for Hybrid Object Stores in the Cloud: Provider vs. Tenant. - Yue Cheng 001; M. Safdar Iqbal; Aayush Gupta; Ali Raza Butt (HotStorage, 2015)

CAST: Tiering Storage for Data Analytics in the Cloud. - Yue Cheng 001; M. Safdar Iqbal; Aayush Gupta; Ali Raza Butt (HPDC, 2015)

Taming the cloud object storage with MOS. - Ali Anwar 001; Yue Cheng 001; Aayush Gupta; Ali Raza Butt (PDSW@SC, 2015)

ClusterOn: Building Highly Configurable and Reusable Clustered Data Services Using Simple Data Nodes. - Ali Anwar 001; Yue Cheng 001; Hai Huang 002; Ali Raza Butt (HotStorage, 2016)

MOS: Workload-aware Elasticity for Cloud Object Stores. - Ali Anwar 001; Yue Cheng 001; Aayush Gupta; Ali Raza Butt (HPDC, 2016)

Towards Managing Variability in the Cloud. - Ali Anwar 001; Yue Cheng 001; Ali Raza Butt (IPDPS Workshops, 2016)

Erasing Belady's Limitations: In Search of Flash Cache Offline Optimality. - Yue Cheng 001; Fred Douglis; Philip Shilane; Grant Wallace; Peter Desnoyers; Kai Li 001 (USENIX ATC, 2016)

Provider versus Tenant Pricing Games for Hybrid Object Stores in the Cloud. - Yue Cheng 001; M. Safdar Iqbal; Aayush Gupta; Ali Raza Butt (IEEE Internet Comput., 2016)

Workload-aware Efficient Storage Systems. - Yue Cheng 001 (2017)

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study. - Yue Cheng 001; Zheng Chai; Ali Anwar 001 (APSys, 2018)

Analyzing Alibaba's Co-located Datacenter Workloads. - Yue Cheng 001; Ali Anwar 001; Xuejing Duan (IEEE BigData, 2018)

Improving Docker Registry Design Based on Production Workload Analysis. - Ali Anwar 001; Mohamed Mohamed 001; Vasily Tarasov; Michael Littley; Lukas Rupprecht; Yue Cheng 001; Nannan Zhao; Dimitris Skourtis; Amit Warke; Heiko Ludwig; Dean Hildebrand; Ali Raza Butt (FAST, 2018)

Chameleon: An Adaptive Wear Balancer for Flash Clusters. - Nannan Zhao; Ali Anwar 001; Yue Cheng 001; Mohammed Salman; Daping Li; Jiguang Wan 001; Changsheng Xie; Xubin He; Feiyi Wang; Ali Raza Butt (IPDPS, 2018)

bespoKV: application tailored scale-out key-value stores. - Ali Anwar 001; Yue Cheng 001; Hai Huang 002; Jingoo Han; Hyogi Sim; Dongyoon Lee; Fred Douglis; Ali Raza Butt (SC, 2018)

Bolt: Towards a Scalable Docker Registry via Hyperconvergence. - Michael Littley; Ali Anwar 001; Hannan Fayyaz; Zeshan Fayyaz; Vasily Tarasov; Lukas Rupprecht; Dimitrios Skourtis; Mohamed Mohamed 001; Heiko Ludwig; Yue Cheng 001; Ali Raza Butt (CLOUD, 2019)

Towards Taming the Resource and Data Heterogeneity in Federated Learning. - Zheng Chai; Hannan Fayyaz; Zeshan Fayyaz; Ali Anwar 001; Yi Zhou 015; Nathalie Baracaldo; Heiko Ludwig; Yue Cheng 001 (OpML, 2019)

In Search of a Fast and Efficient Serverless DAG Engine. - Benjamin Carver; Jingyuan Zhang; Ao Wang; Yue Cheng 001 (PDSW@SC, 2019)

vCPU as a container: towards accurate CPU allocation for VMs. - Li Liu 045; Haoliang Wang; An Wang 002; Mengbai Xiao; Yue Cheng 001; Songqing Chen (VEE, 2019)

MOANA: Modeling and Analyzing I/O Variability in Parallel System Experimental Design. - Kirk W. Cameron; Ali Anwar 001; Yue Cheng 001; Li Xu; Bo Li 032; Uday Ananth; Jon Bernard; Chandler Jearls; Thomas Lux; Yili Hong 001; Layne T. Watson; Ali Raza Butt (IEEE Trans. Parallel Distributed Syst., 2019)

Wukong: a scalable and locality-enhanced framework for serverless parallel computing. - Benjamin Carver; Jingyuan Zhang; Ao Wang; Ali Anwar 001; Panruo Wu; Yue Cheng 001 (SoCC, 2020)

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache. - Ao Wang; Jingyuan Zhang; Xiaolong Ma; Ali Anwar 001; Lukas Rupprecht; Dimitrios Skourtis; Vasily Tarasov; Feng Yan 001; Yue Cheng 001 (FAST, 2020)

TiFL: A Tier-based Federated Learning System. - Zheng Chai; Ahsan Ali; Syed Zawad; Stacey Truex; Ali Anwar 001; Nathalie Baracaldo; Yi Zhou 015; Heiko Ludwig; Feng Yan 001; Yue Cheng 001 (HPDC, 2020)

Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework. - Junxiang Wang; Zheng Chai; Yue Cheng 001; Liang Zhao 002 (ICDM, 2020)

Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training. - Junxiang Wang; Zheng Chai; Yue Cheng 001; Liang Zhao 002 (CoRR, 2020)

FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data. - Zheng Chai; Yujing Chen; Liang Zhao 002; Yue Cheng 001; Huzefa Rangwala (CoRR, 2020)

Customizable Scale-Out Key-Value Stores. - Ali Anwar 001; Yue Cheng 001; Hai Huang 002; Jingoo Han; Hyogi Sim; Dongyoon Lee; Fred Douglis; Ali Raza Butt (IEEE Trans. Parallel Distributed Syst., 2020)

Asynchronous Federated Learning for Sensor Data with Concept Drift. - Yujing Chen; Zheng Chai; Yue Cheng 001; Huzefa Rangwala (IEEE BigData, 2021)

Mind the Gap: Broken Promises of CPU Reservations in Containerized Multi-tenant Clouds. - Li Liu 045; Haoliang Wang; An Wang 002; Mengbai Xiao; Yue Cheng 001; Songqing Chen (SoCC, 2021)

FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. - Zheng Chai; Yujing Chen; Ali Anwar 001; Liang Zhao 002; Yue Cheng 001; Huzefa Rangwala (SC, 2021)

FaaSNet: Scalable and Fast Provisioning of Custom Serverless Container Runtimes at Alibaba Cloud Function Compute. - Ao Wang; Shuai Chang; Huangshi Tian; Hongqi Wang; Haoran Yang; Huiba Li; Rui Du; Yue Cheng 001 (USENIX ATC, 2021)

Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework. - Junxiang Wang; Hongyi Li; Zheng Chai; Yongchao Wang; Yue Cheng 001; Liang Zhao 002 (CoRR, 2021)

Community-based Layerwise Distributed Training of Graph Convolutional Networks. - Hongyi Li; Junxiang Wang; Yongchao Wang; Yue Cheng 001; Liang Zhao 002 (CoRR, 2021)

SFS: Smart OS Scheduling for Serverless Functions. - Yuqi Fu; Li Liu 045; Haoliang Wang; Yue Cheng 001; Songqing Chen (SC, 2022)

Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets. - Zhaoyuan Su; Sheng Di; Ali Murat Gok; Yue Cheng 001; Franck Cappello (DRBSD@SC, 2022)

A Distributed and Elastic Aggregation Service for Scalable Federated Learning Systems. - Ahmad Khan 001; Yuze Li; Ali Anwar 001; Yue Cheng 001; Thang Hoang; Nathalie Baracaldo; Ali Raza Butt (CoRR, 2022)

Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization. - Zheng Chai; Guangji Bai; Liang Zhao 002; Yue Cheng 001 (CoRR, 2022)

Sion: Elastic Serverless Cloud Storage. - Jingyuan Zhang; Ao Wang; Xiaolong Ma; Benjamin Carver; Nicholas John Newman; Ali Anwar 001; Lukas Rupprecht; Dimitrios Skourtis; Vasily Tarasov; Feng Yan 001; Yue Cheng 001 (CoRR, 2022)

λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions. - Benjamin Carver; Runzhou Han; Jingyuan Zhang; Mai Zheng; Yue Cheng 001 (ASPLOS (4), 2023)

Towards cost-effective and resource-aware aggregation at Edge for Federated Learning. - Ahmad Faraz Khan 001; Yuze Li; Xinran Wang; Sabaat Haroon; Haider Ali; Yue Cheng 001; Ali Raza Butt; Ali Anwar 001 (IEEE Big Data, 2023)

SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training. - Redwan Ibne Seraj Khan; Ahmad Hossein Yazdani; Yuqi Fu; Arnab K. Paul; Bo Ji 001; Xun Jian 002; Yue Cheng 001; Ali Raza Butt (FAST, 2023)

λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless Functions. - Benjamin Carver; Runzhou Han; Jingyaun Zhang; Mai Zheng; Yue Cheng 001 (CoRR, 2023)

InfiniStore: Elastic Serverless Cloud Storage. - Jingyuan Zhang; Ao Wang; Xiaolong Ma; Benjamin Carver; Nicholas John Newman; Ali Anwar 001; Lukas Rupprecht; Vasily Tarasov; Dimitrios Skourtis; Feng Yan 001; Yue Cheng 001 (Proc. VLDB Endow., 2023)

Algorithmic Complexity Attacks on Dynamic Learned Indexes. - Rui Yang; Evgenios M. Kornaropoulos; Yue Cheng 001 (Proc. VLDB Endow., 2023)

FedCaSe: Enhancing Federated Learning with Heterogeneity-aware Caching and Scheduling. - Redwan Ibne Seraj Khan; Arnab K. Paul; Yue Cheng 001; Xun Steve Jian; Ali Raza Butt (SoCC, 2024)

ALPS: An Adaptive Learning, Priority OS Scheduler for Serverless Functions. - Yuqi Fu; Ruizhe Shi; Haoliang Wang; Songqing Chen; Yue Cheng 001 (USENIX ATC, 2024)

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. - Guangji Bai; Zheng Chai; Chen Ling 003; Shiyu Wang 002; Jiaying Lu 001; Nan Zhang; Tingwei Shi; Ziyang Yu; Mengdan Zhu; Yifei Zhang 006; Carl Yang 001; Yue Cheng 001; et al. (CoRR, 2024)

Ensuring Fair LLM Serving Amid Diverse Applications. - 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 001; Ali Raza Butt; et al. (CoRR, 2024)

A Closer Look into IPFS: Accessibility, Content, and Performance. - Ruizhe Shi; Ruizhi Cheng; Bo Han 001; Yue Cheng 001; Songqing Chen (Proc. ACM Meas. Anal. Comput. Syst., 2024)

Everything You Always Wanted to Know About Storage Compressibility of Pre-Trained ML Models but Were Afraid to Ask. - Zhaoyuan Su; Ammar Ahmed; Zirui Wang; Ali Anwar 001; Yue Cheng 001 (Proc. VLDB Endow., 2024)

Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. - Junxiang Wang; Hongyi Li; Zheng Chai; Yongchao Wang; Yue Cheng 001; Liang Zhao 002 (IEEE Trans. Neural Networks Learn. Syst., 2024)

Concurrency-Informed Orchestration for Serverless Functions. - Qichang Liu; Yue Cheng 001; Haiying Shen; Ao Wang; Bharathan Balaji (ASPLOS (2), 2025)

Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction. - Guangji Bai; Ziyang Yu; Zheng Chai; Yue Cheng 001; Liang Zhao 002 (SDM, 2025)

Centralization in the Decentralized Web: Challenges and Opportunities in IPFS Data Management. - Ruizhe Shi; Ruizhi Cheng; Yuqi Fu; Bo Han 001; Yue Cheng 001; Songqing Chen (WWW, 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)

ZenFlow: Enabling Stall-Free Offloading Training via Asynchronous Updates. - Tingfeng Lan; Yusen Wu; Bin Ma; Zhaoyuan Su; Rui Yang; Tekin Bicer; Dong Li 001; Yue Cheng 001 (CoRR, 2025)