November 16, 2015

Publications

 

  1. Self-Supervised Quantization-Aware Knowledge Distillation
    K. Zhao, M. Zhao
    27th International Conference on Artificial Intelligence and Statistics (AISTATS), May 2024. (Acceptance Rate: 27.6%)
  2. Oversaturated Intersections: A Real-World Assessment of Polynomial Fluid Queue Models
    A. Doll, M. Abbasi, M. Zhao, X. Zhou
    Transportation Research Board 103rd Annual Meeting, January 2024.
  3. Semantic Privacy-Preserving for Video Surveillance Services on the Edge
    A. Huang, Y. Chen, D. Huang, M. Zhao
    Trustworthy Edge Computing Workshop, December 2023.
  4. Generative Adversarial Network (GAN)-Based Autonomous Penetration Testing for Web Applications
    Ankur Chowdhary, Kritshekhar Jha, and Ming Zhao
    Sensors 2023, 23, 8014.
  5. AdaCache: A Disaggregated Cache System with Adaptive Block Size for Cloud Block Storage
    Q. Yang, R. Jin, F. Ni, D. Inupakutika, B. Davis and M. Zhao
    IEEE International Conference on Cloud Computing (CLOUD), July 2023.
  6. When Edge Meets FaaS: Opportunies & Challenges
    R. Jin, Q. Yang, and M. Zhao
    IEEE International Conference on Edge Computing and Communications (EDGE), July 2023.
  7. A Contrastive Knowledge Transfer Framework for Model Compression and Transfer Learning (Presentation)
    K. Zhao, Y. Chen, M. Zhao
    IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023.
  8. Confidence-based Federated Distillation for Vision-based Lane-centering
    Y. Chen, D. Chen, H. Wang, K. Han, M. Zhao
    ICASSP’23 Satellite Workshop: Timely and Private Machine Learning over Networks, June 2023.
  9. GPU-enabled Function-as-a-Service for Machine Learning Inference
    M. Zhao, K. Jha, and S. Hong
    37th IEEE International Parallel and Distributed Processing Symposium (IPDPS), May 2023.
  10. Automatic Attention Pruning: Improving and Automating Model Pruning using Attentions (Presentation)
    K. Zhao, Y. Chen, M. Zhao
    26th International Conference on Artificial Intelligence and Statistics (AISTATS), April 2023. (Acceptance Rate: 29%)
  11. Exploring Edge Machine Learning-based Stress Prediction using Wearable Devices
    S. Sim, T. Paranjpe, N. Roberts, M. Zhao
    21st IEEE International Conference on Machine Learning and Applications (ICMLA), December 2022.
  12. Performance Evaluation on CXL-enabled Hybrid Memory Pool
    Q. Yang, R. Jin, B. Davis, D. Inupakutika, M. Zhao
    16th International Conference on Networking, Architecture, and Storage (NAS 2022), October 2022
  13. Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer
    K. Zhao, H. D. Nguyen, A. Jain, N. Susanj, A. Mouchtaris, L. Gupta, M. Zhao
    23rd Interspeech Conference, September 2022
  14. Serving Deep Learning Models with Deduplication from Relational Databases
    L. Zhou, J. Chen, A. Das, H. Min, L. Yu, M. Zhao, J. Zou
    48th International Conference on Very Large Databases, September 2022
  15. SecureFL: Privacy Preserving Federated Learning with SGX and TrustZone
    Eugene Kuznetsov, Yitao Chen, Ming Zhao
    The Sixth ACM/IEEE Symposium on Edge Computing (SEC), December 2021 (Acceptance Rate: 27%)
  16. Characterizing Loop Acceleration in Heterogeneous Computing
    Saman Biookaghazadeh, Fengbo Ren, Ming Zhao
    IEEE International Conference on Cloud Computing (CLOUD), September 2021 (Acceptance Rate: 23.8%)
  17. Toward Multi-FPGA Acceleration of the Neural Networks
    Saman Biookaghazadeh, Pravin Kumar Ravi, and M. Zhao
    ACM Journal on Emerging Technologies in Computing Systems, Volume 17, Issue 2, April 2021 (Impact Factor: 2.911)
  18. Learning Cache Replacement with Cacheus
    L. V. Rodriguez, F. Yusuf, S. Lyons, E. Paz, R. Rangaswami, J. Liu, M. Zhao, G. Narasimhan
    19th USENIX Conference on File and Storage Technologies (FAST), February 2021 (Acceptance Rate: 21%)
  19. WATSON: A Workflow-based Data Storage Optimizer for Analytics
    J. Zou, M. Zhao, J. Shi, and C. Wang
    36th International Conference on Massive Storage Systems and Technology (MSST), October 2020 (Acceptance Rate: 29%)
  20. Pacon: Improving Scalability and Efficiency of Metadata Service through Partial Consistency
    Y. Liu, Y. Lu, Z. Chen, M. Zhao
    34th IEEE International Parallel & Distributed Processing Symposium  (IPDPS), May 2020 (Acceptance Rate: 24%)
  21. HasFS: Optimizing File System Consistency Mechanism on NVM-based Hybrid Storage Architecture
    Y. Liu, H. Li, Y. Lu, Z. Chen, N. Xiao, and M. Zhao
    Cluster Computing, December 2019
  22. Selected Results of the Workshop on Data Storage Research 2025
    G. Amvrosiadis, A. R. Butt, V. Tarasov, E. Zadok, and M. Zhao
    ;login: The USENIX Magazine, November 2019
  23. A Foundation for Automated Placement of Data
    D. Otstott, S. Williams, L. Ionkov, M. Lang, and M. Zhao
    4th International Parallel Data Systems Workshop, November 2019
  24. Exploring the Capabilities of Mobile Devices in Supporting Deep Learning
    Y. Chen, S. Biookaghazadeh, and M. Zhao
    4th ACM/IEEE Symposium on Edge Computing, November 2019
  25. An Efficient and Flexible Metadata Management Layer for Local File Systems
    Y. Liu, H. Li, Y. Lu, Z. Chen, and M. Zhao
    37th IEEE International Conference on Computer Design, November 2019 (Acceptance Rate: 24%)
  26. Coordinating Opportunistic Interdisciplinary Projects Across Single-Discipline Capstone Courses
    C. D. D. Bowman, L. T. Elkins-Tanton, D. Bacalzo, P. Howell, E. J. Montgomery, A. Sanft, D. Briggs, Y. Chen, D. Mccarville, R. Meuth, and M.Zhao
    International Journal of Engineering Education, October 2019
  27. SmartDedup: Optimizing Deduplication for Resource-constrained Devices
    Q. Yang, R. Jin, and M. Zhao
    USENIX Annual Technical Conference (USENIX ATC’19), July 2019 (Acceptance Rate: 20%)
  28. Exploring the Use of Synthetic Gradients for Distributed Deep Learning across Cloud and Edge Resources
    Y. Chen, K. Zhao, B. Li, and M. Zhao
    USENIX Workshop on Hot Topics in Edge Computing (HotEdge’19), July 2019
  29. CowCache: Effective Flash Caching for Copy-on-Write Virtual Disks
    J. Fu, Y. Lu, J. Shu, G. Liu, and M. Zhao
    Cluster Computing, June 2019
  30. KnowledgeNet: Disaggregated and Distributed Training and Serving of Deep Neural Networks
    S. Biookaghazadeh, Y. Chen, K. Zhao, and M. Zhao
    USENIX Conference on Operational Machine Learning (OpML’19), May 2019
  31. vPFS+: Managing I/O Performance for Diverse HPC Applications
    M. Zhao and Y. Xu
    35th International Conference on Massive Storage Systems and Technology (MSST 2019), May 2019 (Acceptance Rate: 29%)
  32. Write Deduplication and Hash Mode Encryption for Secure Nonvolatile Main Memory
    P. Zuo, Y. Hua, M. Zhao, W. Zhou, and Y. Guo
    IEEE Micro, Volume 39, Pages 44-51, January/February 2019 (Impact Factor: 1.913)
  33. Evaluating Docker Storage Performance: from Workloads to Graph Drivers
    V. Tarasov, L. Rupprecht, D. Skourtis, W. Li, R. Rangaswami, and M. Zhao
    Cluster Computing, January 2019
  34. Security and Interdependency in a Public Cloud: A Game-Theoretic Approach
    C. A. Kamhoua, L. Kwiat, K. A. Kwiat, J. S. Park, M. Zhao, and M. Rodriguez
    Book Chapter in Game Theory for Security and Risk Management – From Theory to Practice, Birkhäuser Basel, 2018
  35. Improving the Performance and Endurance of Encrypted Non-volatile Main Memory through Deduplicating Writes
    P. Zuo, Y. Hua, M. Zhao, W. Zhou and Y. Guo
    51st IEEE/ACM International Symposium on Microarchitecture (MICRO), October 2018 (Acceptance Rate: 21%)
  36. Are FPGAs Suitable for Edge Computing?
    S. Biookaghazadeh, M. Zhao, and F. Ren
    USENIX Workshop on Hot Topics in Edge Computing (HotEdge’18), July 2018
  37. Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices?
    R. Sharma, S. Biookaghazadeh, and M. Zhao
    IEEE International Conference on Edge Computing (EDGE), July 2018
  38. Driving Cache Replacement with ML-based LeCaR
    G. Vietri, L. V. Rodriguez, W. A. Martinez, S. Lyons, J. Liu, R. Rangaswami, M. Zhao, G. Narasimhan
    10th USENIX Workshop on Hot Topics in Storage and File Systems (HotStorage), July 2018
  39. Coordinating Opportunistic Interdisciplinary Projects Across Single-Discipline Capstone Courses
    C. D. Bowman, L. T. Elkins-Tanton, D. Bacalzo, P. Howell, D. McCarville, R. Meuth, E. J. Montgomery, A. Sanft, and M. Zhao,
    Proceedings of the Capstone Design Conference, June 2018
  40. RTVirt: Enabling Time-sensitive Computing on Virtualized Systems through Cross-layer CPU Scheduling
    M. Zhao and J. Cabrera
    13th European Conference on Computer Systems (EuroSys), April 2018 (Acceptance Rate: 16%)
  41. Cross-layer Optimization for Virtual Machine Resource Management
    M. Zhao, L. Wang, Y. Lv, and J. Xu
    IEEE International Conference on Cloud Engineering (IC2E), April 2018 (Acceptance Rate: 19%)
  42. In Search of the Ideal Storage Configuration for Docker Containers
    V. Tarasov, L. Rupprecht, D. Skourtis, A. Warke, D. Hildebrand, M. Mohamed, N. Mandagere, W. Li, R. Rangaswami, and M. Zhao
    1st Workshop on Autonomic Management of Large Scale Container-based Systems (AMLCS), September 2017
  43. Kaleido: Enabling Efficient Scientific Data Processing on Big-Data Systems
    S. Biookaghazadeh, S. Zhou and M. Zhao
    12th International Conference on Networking, Architecture, and Storage (NAS), August 2017
  44. TCASM: An Asynchronous Shared Memory Interface for High-Performance Application Composition
    D. Otstott, L. Ionkov, M. Lang, and M. Zhao
    Parallel Computing, Volume 63, Pages 61–78, April 2017  (Impact Factor: 1.785)
  45. IBIS: Interposed Big-data I/O Scheduler
    Y. Xu and M. Zhao
    ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC’16), 2016. (Acceptance Rate: 15.5%)
  46. Multi-Topic Tracking Model for Dynamic Social Network
    Y. Li, C. Liu, M. Zhao, R. Li, H. Xiao, K. Wang. and J. Zhang
    Physica A: Statistical Mechanics and its Applications, 2016 (Impact Factor: 2.243)
  47. Efficient Execution of the WRF Model and other HPC Applications in the Cloud
    H. Duran-Limon, L. A. Silva-Bañuelos, V. H. Tellez-Valdez, N. Parlavantzas, and M. Zhao
    Earth Science Informatics, 2016
  48. CacheDedup: In-line Deduplication for Flash Caching
    W. Li, G. Jean-Baptise, J. Riveros, G. Narasimhan, T. Zhang, and M. Zhao
    14th USENIX Conference on File and Storage Technologies (FAST’16), February 2016 (Acceptance Rate: 23%)
  49. CloudCache: On-demand Flash Cache Management for Cloud Computing
    D. Arteaga, J. Cabrera, J. Xu, S. Sundararaman, and M. Zhao
    14th USENIX Conference on File and Storage Technologies (FAST’16), February 2016 (Acceptance Rate: 23%)
  50. Applications of Future Network Technologies to Disaster Management
    M. Zhao and J. Liu
    Looking Beyond the Internet: Applications and Services in the Year 2021, January 2016
  51. Enabling Scientific Data Storage and Processing on Big-data Systems
    S. Biookaghazadeh, Y. Xu, S. Zhou, and M. Zhao
    Big Data in the Geosciences Workshop (co-held with 2015 IEEE International Big Data Conference), October 2015.
  52. QoS-driven Cloud Resource Management through Fuzzy Model Predictive Control
    L. Wang, J. Xu, and M. Zhao
    12th International Conference on Autonomic Computing (ICAC), July 2015. (Acceptance Rate: 27%)
  53. Revenue Driven Resource Allocation for Virtualized Data Centers
    S. Kundu, R. Rangaswami, M. Zhao, A. Gulati, and K. Dutta
    12th International Conference on Autonomic Computing (ICAC), July 2015. (Acceptance Rate: 27%)
  54. Multi-level VM Replication based Survivability for Mission-critical Cloud Computing
    M. Zhao, F. D’Ugard, K. Kwiat, and C. Kamhoua
    1st IEEE/IFIP Workshop on Security for Emerging Distributed Network Technologies (co-located with IEEE/IFIP International Symposium on Integrated Network Management), May 2015.
  55. How Much Can Data Compressibility Help to Improve NAND Flash Memory Lifetime?
    J. Li, K. Zhao, X. Zhang, J. Ma, M. Zhao, and T. Zhang
    13th USENIX Conference on File and Storage Technologies (FAST), February 2015. (Acceptance Rate: 21%)
  56. BigCache for Big-data Systems
    M. Roger, Y. Xu and M. Zhao
    IEEE International Conference on Big Data, October 2014.
  57. Enabling Composite Applications through an Asynchronous Shared Memory Interface
    D. Otstott, N. Evans, L. Ionkov, M. Zhao, and M. Lang
    IEEE International Conference on Big Data, October 2014.
  58. Client-side Flash Caching for Cloud Systems
    D. Arteaga and M. Zhao
    7th ACM International Systems and Storage Conference, June 2014.
  59. Game Theoretic Modeling of Security and Interdependency in a Public Cloud
    C. A. Kamhoua, L. Kwiat, K. A. Kwiat, J. S. Park, M. Zhao, and M. Rodriguez
    7th IEEE International Conference on Cloud Computing, June 2014.
  60. v-TerraFly: Large Scale Distributed Spatial Data Visualization with Autonomic Resource Management
    Y. Lu, M. Zhao, G. Zhao, L. Wang, N. Rishe
    Journal Of Big Data, January 2014.
  61. Massive GIS Database System with Autonomic Resource Management
    Y. Lu, M. Zhao, G. Zhao, L. Wang, N. Rishe
    International Conference on Machine Learning and Applications, December 2013.
  62. The Implications from Benchmarking Three Big Data Systems
    J. Quan, Y. Shi, and M. Zhao
    1st Workshop on Benchmarks, Performance Optimization, and Emerging Hardware of Big Data Systems and Applications (BPOE, co-held with IEEE BigData 2013), October 2013.
  63. Two-level Throughput and Latency IO Control for Parallel File Systems
    Yiqi Xu and Ming Zhao
    8th International Workshop on Feedback Computing (FeedbackComputing, co-held with FCW2013), June 2013
  64. IBIS: Interposed Big-data I/O Scheduler
    Y. Xu, A. Suarez, and M. Zhao
    22nd ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC2013), June 2013. (Short Paper)
  65. On the Design and Implementation of a Simulator for Parallel File System Research
    Y. Liu, R. Figueiredo, Y. Xu and M. Zhao
    29th IEEE Conference on Massive Data Storage (MSST2013), May 2013. (Short Paper) (Acceptance Rate: 27%)
  66. Profit Aware Load Balancing for Distributed Cloud Data Centers
    S. Liu, S. Ren, G. Quan, M. Zhao, and S. Ren
    27th IEEE International Parallel & Distributed Processing Symposium (IPDPS2013), May 2013 (Acceptance Rate: 21%)
  67. Write Policies for Host-side Flash Caches
    R. Koller, L. Marmol, R. Rangaswami, S. Sundararaman, N. Talagala, M. Zhao
    11th USENIX Conference on File and Storage Technologies (FAST ’13), February 2013  (Acceptance Rate: 18%)
  68. Modeling VM Performance Interference with Fuzzy MIMO Model
    L. Wang, J. Xu, M. Zhao
    7th International Workshop on Feedback Computing (FeedbackComputing, co-held with ICAC2012), September 2012 (Acceptance Rate: 57%)
  69. Application-aware Cross-layer Virtual Machine Resource Management
    L. Wang, J. Xu, M. Zhao
    9th International Conference on Autonomic Computing (ICAC), September 2012 (Acceptance Rate: 24%, Best Paper award runner-up)
  70. vPFS: Virtualization-based Bandwidth Management for Parallel Storage Systems
    Y. Xu, D. Arteaga, M. Zhao, Y. Liu, R. Figueiredo, S. Seelam
    28th IEEE Conference on Massive Data Storage (MSST’12), April 2012 (Acceptance Rate: 24%)
  71. Modeling Virtualized Applications using Machine Learning Techniques
    S. Kundu, R. Rangaswami, A. Gulati, M. Zhao, K. Dutta
    8th Annual International Conference on Virtual Execution Environments (VEE 2012), March 2012 (Acceptance Rate: 34%)
  72. Using Lightweight Virtual Machines to Run High Performance Computing Applications: The Case of Weather Research and Forecasting (WRF) Model
    H. Duran-Limon, Luis A. Silva-Bañuelos, Victor H. Tellez-Valdez, N. Parlavantzas, M. Zhao
    4th IEEE International Conference on Utility and Cloud Computing (UCC 2011), December 2011 (Acceptance Rate: 28%)
  73. Towards Scalable Application Checkpointing with Parallel File System Delegation
    D. Arteaga, M. Zhao
    6th IEEE International Conference on Networking, Architecture, and Storage (NAS’11), July 2011 (Acceptance Rate: 31%)
  74. Fuzzy Modeling based Resource Management for Virtualized Database Systems
    L. Wang, J. Xu, M. Zhao, Y. Tu, J. Fortes
    19th Annual Meeting of the IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS 2011), July 2011 (Acceptance Rate: 35%)
  75. Performance Modeling of Virtual Machine Live Migration
    Y. Wu, M. Zhao
    4th IEEE International Conference on Cloud Computing (CLOUD 2011), July 2011 (Acceptance Rate: 19%)
  76. Adaptive Virtual Resource Management with Fuzzy Model Predictive Control
    L. Wang, J. Xu, M. Zhao, J. Fortes
    6th International Workshop on Feedback Control Implementation and Design in Computing Systems and Networks (FeBID, co-held with ICAC’11), June 2011
  77. Towards Simulation of Parallel File System Scheduling Algorithms with PFSsim
    Y. Liu, R. Figueiredo, D. Clavijo, Y. Xu, M. Zhao
    7th IEEE International Workshop on Storage Network Architecture and Parallel I/O (SNAPI, co-held with MSST’11), May 2011 (Acceptance Rate: 50%)
  78. Cooperative Virtual Machine Scheduling on Multi-core Multi-threading Systems — A Feasibility Study
    D. Arteaga, M. Zhao, C. Liu, P. Thanarungroj, L. Weng
    Workshop on Micro Architectural Support for Virtualization, Data Center Computing, and Cloud (MASVDC, co-held with MICRO 2010), December 2010
  79. Virtualization-based Storage Management for High-end Computing Systems
    Y. Xu, L. Wang, D. Arteaga, M. Zhao, Y. Liu, and R. Figueiredo
    5th Petascale Data Storage Workshop (PDSW, co-held with SC’10), November 2010 (Acceptance Rate: 50%)
  80. Model-Driven Network Emulation With Virtual Time Machine
    J. Liu, R. Rangaswami, and M. Zhao
    Winter Simulation Conference, December 2010
  81. Model Development, Testing and Experimentation in a CyberWorkstation for Brain-Machine Interface Research
    P. Rattanatamrong, P. Raiturkar, M. Zhao, B. Mahmoudi, J. DiGiovanna, J. Principe, R. Figueiredo, J. C. Sanchez, and J. Fortes
    32nd Annual International IEEE EMBS Conference (EMBC 2010), September 2010
  82. Cyber-Workstation Architecture for Computational Neuroscience
    J. DiGiovanna, P. Rattanatamrong, M. Zhao, B. Mahmoudi, L. Hermer, R. Figueiredo, J. C. Principe, J. Fortes and J. C . Sanchez
    Frontiers in Neuroengineering, Vol. 2, Article 7, January 2010
  83. Application Performance Modeling in a Virtualized Environment
    S. Kundu, R. Rangaswami, K. Dutta, and M. Zhao
    16th IEEE International Symposium on High-Performance Computer Architecture (HPCA-16), January 2010 (Acceptance Rate: 18%)
  84. Cooperative Autonomic Management in Dynamic Distributed Systems
    J. Xu, M. Zhao, and J. Fortes
    11th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2009), November 2009 (Acceptance Rate: 30%)
  85. Experimental Study of Large-scale Computing on Virtualized Resources
    J. Martinez, L. Wang, M. Zhao, and S. Sadjadi
    3rd International Workshop on Virtualization Technologies in Distributed Computing (held in conjunction with ICAC-09) (VTDC 2009), June 2009
  86. Autonomic Resource Management in Virtualized Data Centers Using Fuzzy-logic-based Control
    J. Xu, M. Zhao, and J. Fortes. Cluster Computing, Vol. 11, No. 3, Pages: 213-227, September 2008
  87. File System Virtualization And Service For Grid Data Management 
    M. Zhao
    Ph.D. Dissertation, University of Florida, 2008.
  88. Autonomic Resource Management in Virtualized Data Centers using Fuzzy-logic-based Approaches
    J. Xu, M. Zhao, J. Fortes, R. Carpenter, M. Yousif
    Cluster Computing, Vol. 11, No. 3, Pages: 213-227, September 2008.
  89. Applying Network Science to Cooperative Autonomic Management in Dynamic Distributed Systems
    J. Xu, M. Zhao, J. Fortes
    Network Science Report (to appear).
  90. BMI Cyberworkstation: Enabling Dynamic Data-Driven Brain-Machine Interface Research through Cyberinfrastructure
    M. Zhao, P. Rattanatamrong, J. DiGiovanna, B. Mahmoudi, R. Figueiredo, J. Sanchez, J. Príncipe, J. Fortes
    International Conference of Engineering in Medicine and Biology Society (EMBC), August 2008.
  91. A User-level Secure Grid File System
    M. Zhao and R. Figueiredo
    Supercomputing (The International Conference for High Performance Computing, Networking, Storage and Analysis) (SC07), November 2007. (Acceptance Rate: 20%)
  92. Experimental Study of Virtual Machine Migration in Support of Reservation of Cluster Resources
    M. Zhao and R. Figueiredo
    2nd International Workshop on Virtualization Technology in Distributed Computing (held in conjunction with SC07) (VTDC 2007), November 2007.
  93. On the Use of Fuzzy Modeling in Virtualized Data Center Management
    J. Xu, M. Zhao, J. Fortes, R. Carpenter, M. Yousif
    4th International Conference on Autonomic Computing, June 2007 (ICAC 2007), June 2006. (Acceptance Rate: 14%, Best Student Paper)
  94. Towards Real-Time Distributed Signal Modeling for Brain Machine Interfaces
    J. DiGiovanna, L. Marchal, P. Rattanatamrong, M. Zhao, S. Darmanjian, B. Mahmoudi, J. C. Sanchez, J. C. Principe, L. Hermer-Vazquez, R. Figueiredo, and J. Fortes
    International Conference on Computational Science, Beijing, China, May 2007.
  95. Application-Tailored Cache Consistency for Wide-Area File Systems
    M. Zhao and R. Figueiredo
    26th International Conference on Distributed Computing Systems (ICDCS 2006), July 2006. (Acceptance Rate: 13%)
  96. Dynamic Policy Disk Caching for Storage Networking
    E. Hensbergen and M. Zhao
    IBM Research Report (RC24123), November 2006. (Research during summer internship at IBM Research Austin Lab.)
  97. Distributed File System Virtualization Techniques Supporting On-Demand Virtual Machine Environments for Grid Computing
    M. Zhao, J. Zhang and R. Figueiredo
    Journal on Cluster Computing, Volume 9, Number 1, Pages: 45 – 56, January 2006.
  98. Towards Autonomic Grid Data Management with Virtualized Distributed File Systems
    M. Zhao, J. Xu and R. Figueiredo
    3rd IEEE International Conference on Autonomic Computing (ICAC 2006), June 2006. (Acceptance Rate: 20%)
  99. On the Use of Virtualization and Service Technologies to Enable Grid-Computing
    A. Matsunaga, M. Tsugawa, M. Zhao, L. Zhu, V. Sanjeepan, S. Adabala, R. Figueiredo, H. Lam and J. A.B. Fortes
    11th International Euro-Par Conference, Lisbon, Portugal, p. 1, August 2005.
  100. Supporting Application-Tailored Grid File System Sessions with WSRF-Based Services
    M. Zhao, Vi. Chadha and R. Figueiredo
    14th IEEE International Symposium on High Performance Distributed Computing (HPDC’05), Pages: 24-33, July 2005. (Acceptance Rate: 17%, Top 5 Best Papers)
  101. From Virtualized Resources to Virtual Computing Grids: The In-VIGO System
    S. Adabala, V. Chadha, P. Chawla, R. J. Figueiredo, J. A. B. Fortes, I. Krsul, A. Matsunaga, M. Tsugawa, J. Zhang, M. Zhao, L. Zhu, and X. Zhu
    Journal of Future Generation Computing Systems, Vol. 21, No. 6, June 2005.
  102. Distributed File System Support for Virtual Machines in Grid Computing
    M. Zhao, J. Zhang and R. Figueiredo
    13th IEEE International Symposium on High Performance Distributed Computing (HPDC’04), Pages: 202-211, June 2004. (Acceptance Rate: 15%)
  103. Support for Data-Intensive, Variable-Granularity Grid Applications via Distributed File System Virtualization – A Case Study of Light Scattering Spectroscopy
    J. Paladugula, M. Zhao and R. Figueiredo
    2nd International Workshop on Challenges of Large Applications in Distributed Environments (CLADE/2004), Pages: 12-21, June 2004.
  104. Proxy Managed Client-Side Disk Caching for the Virtual File System
    M. Zhao and R. Figueiredo
    Tech. Rep. TR-04-001, ACIS Laboratory, University of Florida, November 2004.
  105. A Human-Computer Interaction System for Content-Based Image Retrieval on Internet
    M. Zhao and G. Rong
    Journal of Tsinghua University (Science & Technology, Special Issue), August 2001.
  106. Modeling of Branching Structures of Plants
    Z. Wang, M. Zhao, and Q. Yu
    Journal of Theoretical Biology, 209(4):383-94, April 2001.
  107. An Approach to Automated Palmprint Recognition Based on K-L Transform
    M. Zhao, W. Shu, G. Rong, and Z. Bian
    Journal of Tsinghua University (Science & Technology), vol. 40, no. 9, pp. 100-103, September 2000.