Support for Data-Intensive, Variable-Granularity Grid Applications via Distributed File System Virtualization - A Case Study of Light Scattering Spectroscopy. - Jithendar Paladugula; Ming Zhao 002; Renato J. O. Figueiredo (CLADE, 2004)

Distributed File System Support for Virtual Machines in Grid Computing. - Ming Zhao 002; Jian Zhang 005; Renato J. O. Figueiredo (HPDC, 2004)

On the Use of Virtualization and Service Technologies to Enable Grid-Computing. - Andréa M. Matsunaga; Maurício O. Tsugawa; Ming Zhao 002; Liping Zhu; Vivekananthan Sanjeepan; Sumalatha Adabala; Renato J. O. Figueiredo; Herman Lam; José A. B. Fortes (Euro-Par, 2005)

Supporting application-tailored grid file system sessions with WSRF-based services. - Ming Zhao 002; Vineet Chadha; Renato J. O. Figueiredo (HPDC, 2005)

From virtualized resources to virtual computing grids: the In-VIGO system. - Sumalatha Adabala; Vineet Chadha; Puneet Chawla; Renato J. O. Figueiredo; José A. B. Fortes; Ivan Krsul; Andréa M. Matsunaga; Maurício O. Tsugawa; Jian Zhang 005; Ming Zhao 002; Liping Zhu; Xiaomin Zhu (Future Gener. Comput. Syst., 2005)

Towards Autonomic Grid Data Management with Virtualized Distributed File Systems. - Ming Zhao 002; Jing Xu 012; Renato J. O. Figueiredo (ICAC, 2006)

Application-Tailored Cache Consistency for Wide-Area File Systems. - Ming Zhao 002; Renato J. O. Figueiredo (ICDCS, 2006)

Distributed File System Virtualization Techniques Supporting On-Demand Virtual Machine Environments for Grid Computing. - Ming Zhao 002; Jian Zhang 005; Renato J. O. Figueiredo (Clust. Comput., 2006)

On the Use of Fuzzy Modeling in Virtualized Data Center Management. - Jing Xu 012; Ming Zhao 002; José A. B. Fortes; Robert Carpenter; Mazin S. Yousif (ICAC, 2007)

Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces. - Jack DiGiovanna; Loris Marchal; Prapaporn Rattanatamrong; Ming Zhao 002; Shalom Darmanjian; Babak Mahmoudi; Justin C. Sanchez; José C. Príncipe; Linda Hermer-Vazquez; Renato J. O. Figueiredo; José A. B. Fortes (International Conference on Computational Science (1), 2007)

Experimental study of virtual machine migration in support of reservation of cluster resources. - Ming Zhao 002; Renato J. O. Figueiredo (VTDC@SC, 2007)

A user-level secure grid file system. - Ming Zhao 002; Renato J. O. Figueiredo (SC, 2007)

Autonomic resource management in virtualized data centers using fuzzy logic-based approaches. - Jing Xu 012; Ming Zhao 002; José A. B. Fortes; Robert Carpenter; Mazin S. Yousif (Clust. Comput., 2008)

Experimental study of large-scale computing on virtualized resources. - Juan C. Martinez; Lixi Wang; Ming Zhao 002; S. Masoud Sadjadi (VTDC@ICAC, 2009)

Cooperative Autonomic Management in Dynamic Distributed Systems. - Jing Xu 012; Ming Zhao 002; José A. B. Fortes (SSS, 2009)

Application performance modeling in a virtualized environment. - Sajib Kundu; Raju Rangaswami; Kaushik Dutta; Ming Zhao 002 (HPCA, 2010)

Model-driven network emulation with virtual time machine. - Jason Liu 001; Raju Rangaswami; Ming Zhao 002 (WSC, 2010)

Adaptive virtual resource management with fuzzy model predictive control. - Lixi Wang; Jing Xu 012; Ming Zhao 002; José A. B. Fortes (ICAC, 2011)

Fuzzy Modeling Based Resource Management for Virtualized Database Systems. - Lixi Wang; Jing Xu 012; Ming Zhao 002; Yicheng Tu; José A. B. Fortes (MASCOTS, 2011)

Towards Scalable Application Checkpointing with Parallel File System Delegation. - Dulcardo Arteaga; Ming Zhao 002 (NAS, 2011)

Using Lightweight Virtual Machines to Run High Performance Computing Applications: The Case of the Weather Research and Forecasting Model. - Hector A. Duran-Limon; Luis A. Silva-Banuelos; Victor H. Tellez-Valdez; Nikos Parlavantzas; Ming Zhao 002 (UCC, 2011)

Application-aware cross-layer virtual machine resource management. - Lixi Wang; Jing Xu 012; Ming Zhao 002 (ICAC, 2012)

vPFS: Bandwidth virtualization of parallel storage systems. - Yiqi Xu; Dulcardo Arteaga; Ming Zhao 002; Yonggang Liu; Renato J. O. Figueiredo; Seetharami Seelam (MSST, 2012)

Modeling virtualized applications using machine learning techniques. - Sajib Kundu; Raju Rangaswami; Ajay Gulati; Ming Zhao 002; Kaushik Dutta (VEE, 2012)

Write policies for host-side flash caches. - Ricardo Koller; Leonardo Mármol; Raju Rangaswami; Swaminathan Sundararaman; Nisha Talagala; Ming Zhao 002 (FAST, 2013)

Two-level Throughput and Latency IO Control for Parallel File Systems. - Yiqi Xu; Ming Zhao 002 (Feedback Computing, 2013)

IBIS: interposed big-data I/O scheduler. - Yiqi Xu; Adrian Suarez; Ming Zhao 002 (HPDC, 2013)

Massive GIS Database System with Autonomic Resource Management. - Yun Lu 001; Ming Zhao 002; Guangqiang Zhao; Lixi Wang; Naphtali Rishe (ICMLA (2), 2013)

On the design and implementation of a simulator for parallel file system research. - Yonggang Liu; Renato J. O. Figueiredo; Yiqi Xu; Ming Zhao 002 (MSST, 2013)

Enabling composite applications through an asynchronous shared memory interface. - Douglas Otstott; Noah Evans; Latchesar Ionkov; Ming Zhao 002; Michael Lang 003 (IEEE BigData, 2014)

BigCache for big-data systems. - Michel Angelo Roger; Yiqi Xu; Ming Zhao 002 (IEEE BigData, 2014)

Client-side Flash Caching for Cloud Systems. - Dulcardo Arteaga; Ming Zhao 002 (SYSTOR, 2014)

v-TerraFly: large scale distributed spatial data visualization with autonomic resource management. - Yun Lu 001; Ming Zhao 002; Lixi Wang; Naphtali Rishe (J. Big Data, 2014)

Enabling scientific data storage and processing on big-data systems. - Saman Biookaghazadeh; Yiqi Xu; Shujia Zhou; Ming Zhao 002 (IEEE BigData, 2015)

Revenue Driven Resource Allocation for Virtualized Data Centers. - Sajib Kundu; Raju Rangaswami; Ming Zhao 002; Ajay Gulati; Kaushik Dutta (ICAC, 2015)

QoS-Driven Cloud Resource Management through Fuzzy Model Predictive Control. - Lixi Wang; Jing Xu 012; Hector A. Duran-Limon; Ming Zhao 002 (ICAC, 2015)

CloudCache: On-demand Flash Cache Management for Cloud Computing. - Dulcardo Arteaga; Jorge Cabrera 002; Jing Xu 012; Swaminathan Sundararaman; Ming Zhao 002 (FAST, 2016)

CacheDedup: In-line Deduplication for Flash Caching. - Wenji Li; Gregory Jean-Baptise; Juan Riveros; Giri Narasimhan; Tony Zhang; Ming Zhao 002 (FAST, 2016)

IBIS: Interposed Big-data I/O Scheduler. - Yiqi Xu; Ming Zhao 002 (HPDC, 2016)

Efficient execution of the WRF model and other HPC applications in the cloud. - Hector A. Duran-Limon; Jesus Flores-Contreras; Nikos Parlavantzas; Ming Zhao 002; Angel Meulenert-Peña (Earth Sci. Informatics, 2016)

Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems. - Saman Biookaghazadeh; Shujia Zhou; Ming Zhao 002 (NAS, 2017)

In Search of the Ideal Storage Configuration for Docker Containers. - Vasily Tarasov; Lukas Rupprecht; Dimitris Skourtis; Amit Warke; Dean Hildebrand; Mohamed Mohamed 001; NagaPramod Mandagere; Wenji Li; Raju Rangaswami; Ming Zhao 002 (FAS*W@SASO/ICCAC, 2017)

TCASM: An asynchronous shared memory interface for high-performance application composition. - Douglas Otstott; Latchesar Ionkov; Michael Lang 003; Ming Zhao 002 (Parallel Comput., 2017)

Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices? - Ragini Sharma; Saman Biookaghazadeh; Baoxin Li; Ming Zhao 002 (EDGE, 2018)

RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling. - Ming Zhao 002; Jorge Cabrera 002 (EuroSys, 2018)

Are FPGAs Suitable for Edge Computing? - Saman Biookaghazadeh; Ming Zhao 002; Fengbo Ren (HotEdge, 2018)

Driving Cache Replacement with ML-based LeCaR. - Giuseppe Vietri; Liana V. Rodriguez; Wendy A. Martinez; Steven Lyons; Jason Liu 001; Raju Rangaswami; Ming Zhao 002; Giri Narasimhan (HotStorage, 2018)

Locality-driven MRC Construction and Cache Allocation. - Jianyu Fu; Dulcardo Arteaga; Ming Zhao 002 (HPDC (Posters/Doctoral Consortium), 2018)

Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? - Ragini Sharma; Saman Biookaghazadeh; Ming Zhao 002 (HPDC (Posters/Doctoral Consortium), 2018)

Cross-Layer Optimization for Virtual Machine Resource Management. - Ming Zhao 002; Lixi Wang; Yun Lv; Jing Xu 012 (IC2E, 2018)

Improving the Performance and Endurance of Encrypted Non-Volatile Main Memory through Deduplicating Writes. - Pengfei Zuo; Yu Hua 001; Ming Zhao 002; Wen Zhou; Yuncheng Guo (MICRO, 2018)

Exploring the capabilities of mobile devices in supporting deep learning. - Yitao Chen; Saman Biookaghazadeh; Ming Zhao 002 (SEC, 2019)

Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources. - Yitao Chen; Kaiqi Zhao 002; Baoxin Li; Ming Zhao 002 (HotEdge, 2019)

vPFS+: Managing I/O Performance for Diverse HPC Applications. - Ming Zhao 002; Yiqi Xu (MSST, 2019)

KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks. - Saman Biookaghazadeh; Yitao Chen; Kaiqi Zhao 002; Ming Zhao 002 (OpML, 2019)

A Foundation for Automated Placement of Data. - Douglas Otstott; Ming Zhao 002; Sean Williams; Latchesar Ionkov; Michael Lang 003 (PDSW@SC, 2019)

SmartDedup: Optimizing Deduplication for Resource-constrained Devices. - Qirui Yang; Runyu Jin; Ming Zhao 002 (USENIX ATC, 2019)

Evaluating Docker storage performance: from workloads to graph drivers. - Vasily Tarasov; Lukas Rupprecht; Dimitris Skourtis; Wenji Li; Raju Rangaswami; Ming Zhao 002 (Clust. Comput., 2019)

Write Deduplication and Hash Mode Encryption for Secure Nonvolatile Main Memory. - Pengfei Zuo; Yu Hua 001; Ming Zhao 002; Wen Zhou; Yuncheng Guo (IEEE Micro, 2019)

Selected Results of the Workshop on Data Storage Research 2025. - George Amvrosiadis; Ali Raza Butt; Vasily Tarasov; Erez Zadok; Ming Zhao 002 (login Usenix Mag., 2019)

COWCache: effective flash caching for Copy-on-Write virtual disks. - Jianyu Fu; Youyou Lu; Jiwu Shu; Guangming Liu; Ming Zhao 002 (Clust. Comput., 2020)

Characterizing Loop Acceleration in Heterogeneous Computing. - Saman Biookaghazadeh; Fengbo Ren; Ming Zhao 002 (CLOUD, 2021)

Learning Cache Replacement with CACHEUS. - Liana V. Rodriguez; Farzana Beente Yusuf; Steven Lyons; Eysler Paz; Raju Rangaswami; Jason Liu 001; Ming Zhao 002; Giri Narasimhan (FAST, 2021)

SecureFL: Privacy Preserving Federated Learning with SGX and TrustZone. - Eugene N. Kuznetsov; Yitao Chen; Ming Zhao 002 (SEC, 2021)

Toward Multi-FPGA Acceleration of the Neural Networks. - Saman Biookaghazadeh; Pravin Kumar Ravi; Ming Zhao 002 (ACM J. Emerg. Technol. Comput. Syst., 2021)

Exploring Edge Machine Learning-based Stress Prediction using Wearable Devices. - Sang-Hun Sim; Tara Paranjpe; Nicole Roberts; Ming Zhao 002 (ICMLA, 2022)

Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer. - Kaiqi Zhao 002; Hieu Nguyen; Animesh Jain; Nathan Susanj; Athanasios Mouchtaris; Lokesh Gupta; Ming Zhao 002 (INTERSPEECH, 2022)

Performance Evaluation on CXL-enabled Hybrid Memory Pool. - Qirui Yang; Runyu Jin; Bridget Davis; Devasena Inupakutika; Ming Zhao 002 (NAS, 2022)

Iterative Activation-based Structured Pruning. - Kaiqi Zhao 002; Animesh Jain; Ming Zhao 002 (CoRR, 2022)

Adaptive Activation-based Structured Pruning. - Kaiqi Zhao 002; Animesh Jain; Ming Zhao 002 (CoRR, 2022)

Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer. - Kaiqi Zhao 002; Yitao Chen; Ming Zhao 002 (CoRR, 2022)

AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage. - Qirui Yang; Runyu Jin; Ni Fan; Devasena Inupakutika; Bridget Davis; Ming Zhao 002 (CLOUD, 2023)

Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions. - Kaiqi Zhao 002; Animesh Jain; Ming Zhao 002 (AISTATS, 2023)

When Edge Meets FaaS: Opportunities and Challenges. - Runyu Jin; Qirui Yang; Ming Zhao 002 (EDGE, 2023)

A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning. - Kaiqi Zhao 002; Yitao Chen; Ming Zhao 002 (ICASSP, 2023)

Poster: Self-Supervised Quantization-Aware Knowledge Distillation. - Kaiqi Zhao 002; Ming Zhao 002 (SEC, 2023)

GPU-enabled Function-as-a-Service for Machine Learning Inference. - Ming Zhao 002; Kritshekhar Jha; Sungho Hong (IPDPS, 2023)

Generative Adversarial Network (GAN)-Based Autonomous Penetration Testing for Web Applications. - Ankur Chowdhary; Kritshekhar Jha; Ming Zhao 002 (Sensors, 2023)

Self-Supervised Quantization-Aware Knowledge Distillation. - Kaiqi Zhao 002; Ming Zhao 002 (AISTATS, 2024)

EdgeBench: A Workflow-Based Benchmark for Edge Computing. - Qirui Yang; Runyu Jin; Nabil Gandhi; Xiongzi Ge; Hoda Aghaei Khouzani; Ming Zhao 002 (FICC (3), 2024)

Can ZNS SSDs be Better Storage Devices for Persistent Cache? - Chongzhuo Yang; Zhang Cao 001; Chang Guo; Ming Zhao 002; Zhichao Cao 002 (HotStorage, 2024)

A Zoned Storage Optimized Flash Cache on ZNS SSDs. - Chongzhuo Yang; Chang Guo; Ming Zhao 002; Zhichao Cao 002 (CoRR, 2024)

The Past, Present, and Future of Storage Technologies (Part 1 of 2). - Geoff Kuenning; Youjip Won; Ming Zhao 002; Erez Zadok (ACM Trans. Storage, 2025)

The Past, Present, and Future of Storage Technologies (part 2 of 2). - Geoff Kuenning; Youjip Won; Ming Zhao 002; Erez Zadok (ACM Trans. Storage, 2025)