Ming Zhao

99 papers A* 2A 17B 5C 2Misc 11Journal 28Unranked 32
YearRankTypeTitle / Venue / Authors
2025 J jnl
Introduction to the Special Section on MSST 2024.
ACM Trans. Storage
Ming Zhao, Benjamin C. Reed
2025 A conf
Smart Blue Light Pole-Based Real-Time Crowd Counting for Smart Campuses.
ICDCS
Yitao Chen, Kaiqi Zhao, Krishna Gundu, Zohair Zaidi, Ming Zhao
2025 J jnl
The Past, Present, and Future of Storage Technologies (Part 1 of 2).
ACM Trans. Storage
Geoff Kuenning, Youjip Won, Ming Zhao, Erez Zadok
2025 J jnl
The Past, Present, and Future of Storage Technologies (part 2 of 2).
ACM Trans. Storage
Geoff Kuenning, Youjip Won, Ming Zhao, Erez Zadok
2024 J jnl
A Zoned Storage Optimized Flash Cache on ZNS SSDs.
CoRR
Chongzhuo Yang, Chang Guo, Ming Zhao, Zhichao Cao
2024 — conf
Can ZNS SSDs be Better Storage Devices for Persistent Cache?
HotStorage
Chongzhuo Yang, Zhang Cao, Chang Guo, Ming Zhao, Zhichao Cao
2024 — conf
EdgeBench: A Workflow-Based Benchmark for Edge Computing.
FICC (3)
Qirui Yang, Runyu Jin, Nabil Gandhi, Xiongzi Ge, Hoda Aghaei Khouzani, Ming Zhao
2024 A conf
Self-Supervised Quantization-Aware Knowledge Distillation.
AISTATS
Kaiqi Zhao, Ming Zhao
2024 J jnl
Self-Supervised Quantization-Aware Knowledge Distillation.
CoRR
Kaiqi Zhao, Ming Zhao
2023 Misc conf
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning.
ICASSP
Kaiqi Zhao, Yitao Chen, Ming Zhao
2023 J jnl
A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning.
CoRR
Kaiqi Zhao, Yitao Chen, Ming Zhao
2023 B conf
AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage.
CLOUD
Qirui Yang, Runyu Jin, Ni Fan, Devasena Inupakutika, Bridget Davis, Ming Zhao
2023 J jnl
AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage.
CoRR
Qirui Yang, Runyu Jin, Ni Fan, Devasena Inupakutika, Bridget Davis, Ming Zhao
2023 A conf
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions.
AISTATS
Kaiqi Zhao, Animesh Jain, Ming Zhao
2023 J jnl
Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions.
CoRR
Kaiqi Zhao, Animesh Jain, Ming Zhao
2023 A conf
GPU-enabled Function-as-a-Service for Machine Learning Inference.
IPDPS
Ming Zhao, Kritshekhar Jha, Sungho Hong
2023 J jnl
GPU-enabled Function-as-a-Service for Machine Learning Inference.
CoRR
Ming Zhao, Kritshekhar Jha, Sungho Hong
2023 J jnl
Generative Adversarial Network (GAN)-Based Autonomous Penetration Testing for Web Applications.
Sensors
Ankur Chowdhary, Kritshekhar Jha, Ming Zhao
2023 Misc conf
Poster: Self-Supervised Quantization-Aware Knowledge Distillation.
SEC
Kaiqi Zhao, Ming Zhao
2023 J jnl
Poster: Self-Supervised Quantization-Aware Knowledge Distillation.
CoRR
Kaiqi Zhao, Ming Zhao
2023 — conf
When Edge Meets FaaS: Opportunities and Challenges.
EDGE
Runyu Jin, Qirui Yang, Ming Zhao
2023 J jnl
When Edge Meets FaaS: Opportunities and Challenges.
CoRR
Runyu Jin, Qirui Yang, Ming Zhao
2022 J jnl
Adaptive Activation-based Structured Pruning.
CoRR
Kaiqi Zhao, Animesh Jain, Ming Zhao
2022 J jnl
Enabling Deep Learning on Edge Devices through Filter Pruning and Knowledge Transfer.
CoRR
Kaiqi Zhao, Yitao Chen, Ming Zhao
2022 C conf
Exploring Edge Machine Learning-based Stress Prediction using Wearable Devices.
ICMLA
Sang-Hun Sim, Tara Paranjpe, Nicole Roberts, Ming Zhao
2022 J jnl
Iterative Activation-based Structured Pruning.
CoRR
Kaiqi Zhao, Animesh Jain, Ming Zhao
2022 A conf
Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer.
INTERSPEECH
Kaiqi Zhao, Hieu Nguyen, Animesh Jain, Nathan Susanj, Athanasios Mouchtaris, Lokesh Gupta, Ming Zhao
2022 — conf
Performance Evaluation on CXL-enabled Hybrid Memory Pool.
NAS
Qirui Yang, Runyu Jin, Bridget Davis, Devasena Inupakutika, Ming Zhao
2021 B conf
Characterizing Loop Acceleration in Heterogeneous Computing.
CLOUD
Saman Biookaghazadeh, Fengbo Ren, Ming Zhao
2021 A conf
Learning Cache Replacement with CACHEUS.
FAST
Liana V. Rodriguez, Farzana Beente Yusuf, Steven Lyons, Eysler Paz, Raju Rangaswami, Jason Liu, Ming Zhao, Giri Narasimhan
2021 Misc conf
SecureFL: Privacy Preserving Federated Learning with SGX and TrustZone.
SEC
Eugene N. Kuznetsov, Yitao Chen, Ming Zhao
2021 J jnl
Toward Multi-FPGA Acceleration of the Neural Networks.
ACM J. Emerg. Technol. Comput. Syst.
Saman Biookaghazadeh, Pravin Kumar Ravi, Ming Zhao
2020 — ed.
3rd USENIX Workshop on Hot Topics in Edge Computing, HotEdge 2020, June 25-26, 2020.
HotEdge
Irfan Ahmad, Ming Zhao
2020 J jnl
COWCache: effective flash caching for Copy-on-Write virtual disks.
Clust. Comput.
Jianyu Fu, Youyou Lu, Jiwu Shu, Guangming Liu, Ming Zhao
2020 J jnl
EdgeBench: A Workflow-based Benchmark for Edge Computing.
CoRR
Qirui Yang, Runyu Jin, Nabil Gandhi, Xiongzi Ge, Hoda Aghaei Khouzani, Ming Zhao
2019 — conf
A Foundation for Automated Placement of Data.
PDSW@SC
Douglas Otstott, Ming Zhao, Sean Williams, Latchesar Ionkov, Michael Lang
2019 J jnl
Evaluating Docker storage performance: from workloads to graph drivers.
Clust. Comput.
Vasily Tarasov, Lukas Rupprecht, Dimitris Skourtis, Wenji Li, Raju Rangaswami, Ming Zhao
2019 — conf
Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources.
HotEdge
Yitao Chen, Kaiqi Zhao, Baoxin Li, Ming Zhao
2019 Misc conf
Exploring the capabilities of mobile devices in supporting deep learning.
SEC
Yitao Chen, Saman Biookaghazadeh, Ming Zhao
2019 — conf
KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks.
OpML
Saman Biookaghazadeh, Yitao Chen, Kaiqi Zhao, Ming Zhao
2019 J jnl
Selected Results of the Workshop on Data Storage Research 2025.
login Usenix Mag.
George Amvrosiadis, Ali Raza Butt, Vasily Tarasov, Erez Zadok, Ming Zhao
2019 — conf
SmartDedup: Optimizing Deduplication for Resource-constrained Devices.
USENIX ATC
Qirui Yang, Runyu Jin, Ming Zhao
2019 J jnl
Write Deduplication and Hash Mode Encryption for Secure Nonvolatile Main Memory.
IEEE Micro
Pengfei Zuo, Yu Hua, Ming Zhao, Wen Zhou, Yuncheng Guo
2019 Misc conf
vPFS+: Managing I/O Performance for Diverse HPC Applications.
MSST
Ming Zhao, Yiqi Xu
2018 — conf
Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?
HPDC (Posters/Doctoral Consortium)
Ragini Sharma, Saman Biookaghazadeh, Ming Zhao
2018 — conf
Are Existing Knowledge Transfer Techniques Effective for Deep Learning with Edge Devices?
EDGE
Ragini Sharma, Saman Biookaghazadeh, Baoxin Li, Ming Zhao
2018 — conf
Are FPGAs Suitable for Edge Computing?
HotEdge
Saman Biookaghazadeh, Ming Zhao, Fengbo Ren
2018 J jnl
Are FPGAs Suitable for Edge Computing?
CoRR
Saman Biookaghazadeh, Fengbo Ren, Ming Zhao
2018 B conf
Cross-Layer Optimization for Virtual Machine Resource Management.
IC2E
Ming Zhao, Lixi Wang, Yun Lv, Jing Xu
2018 — conf
Driving Cache Replacement with ML-based LeCaR.
HotStorage
Giuseppe Vietri, Liana V. Rodriguez, Wendy A. Martinez, Steven Lyons, Jason Liu, Raju Rangaswami, Ming Zhao, Giri Narasimhan
2018 — conf
Exploring the Capabilities of Mobile Devices Supporting Deep Learning.
HPDC (Posters/Doctoral Consortium)
Yitao Chen, Saman Biookaghazadeh, Ming Zhao
2018 A* conf
Improving the Performance and Endurance of Encrypted Non-Volatile Main Memory through Deduplicating Writes.
MICRO
Pengfei Zuo, Yu Hua, Ming Zhao, Wen Zhou, Yuncheng Guo
2018 — conf
Locality-driven MRC Construction and Cache Allocation.
HPDC (Posters/Doctoral Consortium)
Jianyu Fu, Dulcardo Arteaga, Ming Zhao
2018 A ed.
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, HPDC 2018, Tempe, AZ, USA, June 11-15, 2018
HPDC
Ming Zhao, Abhishek Chandra, Lavanya Ramakrishnan
2018 A conf
RTVirt: enabling time-sensitive computing on virtualized systems through cross-layer CPU scheduling.
EuroSys
Ming Zhao, Jorge Cabrera
2017 — conf
In Search of the Ideal Storage Configuration for Docker Containers.
FAS*W@SASO/ICCAC
Vasily Tarasov, Lukas Rupprecht, Dimitris Skourtis, Amit Warke, Dean Hildebrand, Mohamed Mohamed, NagaPramod Mandagere, Wenji Li, Raju Rangaswami, Ming Zhao
2017 — conf
Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems.
NAS
Saman Biookaghazadeh, Shujia Zhou, Ming Zhao
2017 J jnl
TCASM: An asynchronous shared memory interface for high-performance application composition.
Parallel Comput.
Douglas Otstott, Latchesar Ionkov, Michael Lang, Ming Zhao
2016 A conf
CacheDedup: In-line Deduplication for Flash Caching.
FAST
Wenji Li, Gregory Jean-Baptise, Juan Riveros, Giri Narasimhan, Tony Zhang, Ming Zhao
2016 A conf
CloudCache: On-demand Flash Cache Management for Cloud Computing.
FAST
Dulcardo Arteaga, Jorge Cabrera, Jing Xu, Swaminathan Sundararaman, Ming Zhao
2016 J jnl
Efficient execution of the WRF model and other HPC applications in the cloud.
Earth Sci. Informatics
Hector A. Duran-Limon, Jesus Flores-Contreras, Nikos Parlavantzas, Ming Zhao, Angel Meulenert-Peña
2016 A conf
IBIS: Interposed Big-data I/O Scheduler.
HPDC
Yiqi Xu, Ming Zhao
2015 — conf
Enabling scientific data storage and processing on big-data systems.
IEEE BigData
Saman Biookaghazadeh, Yiqi Xu, Shujia Zhou, Ming Zhao
2015 — conf
QoS-Driven Cloud Resource Management through Fuzzy Model Predictive Control.
ICAC
Lixi Wang, Jing Xu, Hector A. Duran-Limon, Ming Zhao
2015 — conf
Revenue Driven Resource Allocation for Virtualized Data Centers.
ICAC
Sajib Kundu, Raju Rangaswami, Ming Zhao, Ajay Gulati, Kaushik Dutta
2014 — conf
BigCache for big-data systems.
IEEE BigData
Michel Angelo Roger, Yiqi Xu, Ming Zhao
2014 Misc conf
Client-side Flash Caching for Cloud Systems.
SYSTOR
Dulcardo Arteaga, Ming Zhao
2014 — conf
Enabling composite applications through an asynchronous shared memory interface.
IEEE BigData
Douglas Otstott, Noah Evans, Latchesar Ionkov, Ming Zhao, Michael Lang
2014 J jnl
v-TerraFly: large scale distributed spatial data visualization with autonomic resource management.
J. Big Data
Yun Lu, Ming Zhao, Lixi Wang, Naphtali Rishe
2013 — ed.
8th International Workshop on Feedback Computing, San Jose, CA, USA, June 25, 2013
Feedback Computing
Yixin Diao, Jie Liu, Ming Zhao
2013 A conf
IBIS: interposed big-data I/O scheduler.
HPDC
Yiqi Xu, Adrian Suarez, Ming Zhao
2013 — conf
Massive GIS Database System with Autonomic Resource Management.
ICMLA (2)
Yun Lu, Ming Zhao, Guangqiang Zhao, Lixi Wang, Naphtali Rishe
2013 Misc conf
On the design and implementation of a simulator for parallel file system research.
MSST
Yonggang Liu, Renato J. O. Figueiredo, Yiqi Xu, Ming Zhao
2013 — conf
Two-level Throughput and Latency IO Control for Parallel File Systems.
Feedback Computing
Yiqi Xu, Ming Zhao
2013 A conf
Write policies for host-side flash caches.
FAST
Ricardo Koller, Leonardo Mármol, Raju Rangaswami, Swaminathan Sundararaman, Nisha Talagala, Ming Zhao
2012 — conf
Application-aware cross-layer virtual machine resource management.
ICAC
Lixi Wang, Jing Xu, Ming Zhao
2012 B conf
Modeling virtualized applications using machine learning techniques.
VEE
Sajib Kundu, Raju Rangaswami, Ajay Gulati, Ming Zhao, Kaushik Dutta
2012 Misc conf
vPFS: Bandwidth virtualization of parallel storage systems.
MSST
Yiqi Xu, Dulcardo Arteaga, Ming Zhao, Yonggang Liu, Renato J. O. Figueiredo, Seetharami Seelam
2011 — conf
Adaptive virtual resource management with fuzzy model predictive control.
ICAC
Lixi Wang, Jing Xu, Ming Zhao, José A. B. Fortes
2011 B conf
Fuzzy Modeling Based Resource Management for Virtualized Database Systems.
MASCOTS
Lixi Wang, Jing Xu, Ming Zhao, Yicheng Tu, José A. B. Fortes
2011 — conf
Towards Scalable Application Checkpointing with Parallel File System Delegation.
NAS
Dulcardo Arteaga, Ming Zhao
2011 Misc conf
Using Lightweight Virtual Machines to Run High Performance Computing Applications: The Case of the Weather Research and Forecasting Model.
UCC
Hector A. Duran-Limon, Luis A. Silva-Banuelos, Victor H. Tellez-Valdez, Nikos Parlavantzas, Ming Zhao
2010 A* conf
Application performance modeling in a virtualized environment.
HPCA
Sajib Kundu, Raju Rangaswami, Kaushik Dutta, Ming Zhao
2010 Misc conf
Model-driven network emulation with virtual time machine.
WSC
Jason Liu, Raju Rangaswami, Ming Zhao
2009 C conf
Cooperative Autonomic Management in Dynamic Distributed Systems.
SSS
Jing Xu, Ming Zhao, José A. B. Fortes
2009 — conf
Experimental study of large-scale computing on virtualized resources.
VTDC@ICAC
Juan C. Martinez, Lixi Wang, Ming Zhao, S. Masoud Sadjadi
2008 J jnl
Autonomic resource management in virtualized data centers using fuzzy logic-based approaches.
Clust. Comput.
Jing Xu, Ming Zhao, José A. B. Fortes, Robert Carpenter, Mazin S. Yousif
2007 A conf
A user-level secure grid file system.
SC
Ming Zhao, Renato J. O. Figueiredo
2007 — conf
Experimental study of virtual machine migration in support of reservation of cluster resources.
VTDC@SC
Ming Zhao, Renato J. O. Figueiredo
2007 — conf
On the Use of Fuzzy Modeling in Virtualized Data Center Management.
ICAC
Jing Xu, Ming Zhao, José A. B. Fortes, Robert Carpenter, Mazin S. Yousif
2007 Misc conf
Towards Real-Time Distributed Signal Modeling for Brain-Machine Interfaces.
International Conference on Computational Science (1)
Jack DiGiovanna, Loris Marchal, Prapaporn Rattanatamrong, Ming Zhao, Shalom Darmanjian, Babak Mahmoudi, Justin C. Sanchez, José C. Príncipe, Linda Hermer-Vazquez, Renato J. O. Figueiredo, José A. B. Fortes
2006 A conf
Application-Tailored Cache Consistency for Wide-Area File Systems.
ICDCS
Ming Zhao, Renato J. O. Figueiredo
2006 J jnl
Distributed File System Virtualization Techniques Supporting On-Demand Virtual Machine Environments for Grid Computing.
Clust. Comput.
Ming Zhao, Jian Zhang, Renato J. O. Figueiredo
2006 — conf
Towards Autonomic Grid Data Management with Virtualized Distributed File Systems.
ICAC
Ming Zhao, Jing Xu, Renato J. O. Figueiredo
2005 J jnl
From virtualized resources to virtual computing grids: the In-VIGO system.
Future Gener. Comput. Syst.
Sumalatha Adabala, Vineet Chadha, Puneet Chawla, Renato J. O. Figueiredo, José A. B. Fortes, Ivan Krsul, Andréa M. Matsunaga, Maurício O. Tsugawa, Jian Zhang, Ming Zhao, Liping Zhu, Xiaomin Zhu
2005 — conf
On the Use of Virtualization and Service Technologies to Enable Grid-Computing.
Euro-Par
Andréa M. Matsunaga, Maurício O. Tsugawa, Ming Zhao, Liping Zhu, Vivekananthan Sanjeepan, Sumalatha Adabala, Renato J. O. Figueiredo, Herman Lam, José A. B. Fortes
2005 A conf
Supporting application-tailored grid file system sessions with WSRF-based services.
HPDC
Ming Zhao, Vineet Chadha, Renato J. O. Figueiredo
2004 A conf
Distributed File System Support for Virtual Machines in Grid Computing.
HPDC
Ming Zhao, Jian Zhang, Renato J. O. Figueiredo
2004 — conf
Support for Data-Intensive, Variable-Granularity Grid Applications via Distributed File System Virtualization - A Case Study of Light Scattering Spectroscopy.
CLADE
Jithendar Paladugula, Ming Zhao, Renato J. O. Figueiredo