Dongfang Zhao

Orcid: 0000-0002-0677-634X

Affiliations:
  • University of Washington, Seattle, WA, USA
  • University of Nevada, Reno, NV, USA (former)
  • University of California Davis, CA, USA (former)
  • IBM Almaden Research Center, San Jose, CA, USA (former)
  • Pacific Northwest National Laboratory, USA (former)
  • IDMI Systems (former)
  • Western Michigan University, MI, USA (former)
  • Illinois Institute of Technology, Chicago, IL, USA (Ph.D., 2015)
  • Emory Unversity, USA (M.S.)


According to our database1, Dongfang Zhao authored at least 91 papers between 2006 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
A novel cell contour-based instance segmentation model and its applications in HER2 breast cancer discrimination.
Biomed. Signal Process. Control., August, 2023

Toward Efficient Homomorphic Encryption for Outsourced Databases through Parallel Caching.
Proc. ACM Manag. Data, 2023

Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption.
CoRR, 2023

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN.
CoRR, 2023

Toward Lossless Homomorphic Encryption for Scientific Computation.
CoRR, 2023

Communication-Efficient Search under Fully Homomorphic Encryption for Federated Machine Learning.
CoRR, 2023

Silca: Singular Caching of Homomorphic Encryption for Outsourced Databases in Cloud Computing.
CoRR, 2023

High-Performance Caching of Homomorphic Encryption for Cloud Databases.
CoRR, 2023

Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service.
CoRR, 2023

Semantically Secure Private Set Intersection over Outsourced Multi-Owner Secret-Shared Databases.
CoRR, 2023

Order-Preserving Database Encryption with Secret Sharing.
CoRR, 2023

Transparent Object Detection with Simulation Heatmap Guidance and Context Spatial Attention.
Proceedings of the MultiMedia Modeling - 29th International Conference, 2023

ECHAIN: Securing Electronic Device Provenance through Privacy-Preserving Consortium Blockchains.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2023

SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

TopoCommit: A Topological Commit Protocol for Cross-Ledger Transactions in Scientific Computing.
Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022
Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach.
IEEE Trans. Big Data, 2022

CHEM: Efficient Secure Aggregation with Cached Homomorphic Encryption in Federated Machine Learning Systems.
CoRR, 2022

Secure Aggregation of Semi-Honest Clients and Servers in Federated Learning with Secret-Shared Homomorphism.
CoRR, 2022

Rache: Radix-additive caching for homomorphic encryption.
CoRR, 2022

Practical Federated Learning Infrastructure for Privacy-Preserving Scientific Computing.
Proceedings of the IEEE/ACM International Workshop on Artificial Intelligence and Machine Learning for Scientific Applications, 2022

Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

DEAN: A Lightweight and Resource-efficient Blockchain Protocol for Reliable Edge Computing.
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

2021
XLPN: Efficient and Scalable Cross-Ledger Protocols for the Topological Consortium of Permissioned Blockchains.
CoRR, 2021

Nonparametric Topological Layers in Neural Networks.
CoRR, 2021

INCHE: High-Performance Encoding for Relational Databases through Incrementally Homomorphic Encryption.
CoRR, 2021

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems.
Proceedings of the International Conference for High Performance Computing, 2021

SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020
Locality-Aware Scheduling for Containers in Cloud Computing.
IEEE Trans. Cloud Comput., 2020

An Algebraic-Topological Approach to Processing Cross-Blockchain Transactions.
CoRR, 2020

Trustworthy Edge Computing through Blockchains.
CoRR, 2020

Toward Equilibria and Solvability of Blockchain Pooling Strategies: A Topological Approach.
CoRR, 2020

Completeness of Cross-Blockchain Transactions: A Combinatorial-Algebraic-Topological Approach.
CoRR, 2020

Topological Properties of Multi-Party Blockchain Transactions.
CoRR, 2020

Distributed Cross-Blockchain Transactions.
CoRR, 2020

Algebraic Structure of Blockchains: A Group-Theoretical Primer.
CoRR, 2020

SciChain: Trustworthy Scientific Data Provenance.
CoRR, 2020

BAASH: Enabling Blockchain-as-a-Service on High-Performance Computing Systems.
CoRR, 2020

Permissioned Blockchain Revisited: A Byzantine Game-Theoretical Perspective.
CoRR, 2020

Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions.
CoRR, 2020

Reflector: a fine-grained I/O tracker for HPC systems.
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020

HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
A New Data Fusion Algorithm for Wireless Sensor Networks Inspired by Hesitant Fuzzy Entropy.
Sensors, 2019

The Blockchain Game: Synthesis of Byzantine Systems and Nash Equilibria.
CoRR, 2019

BlockLite: A Lightweight Emulator for Public Blockchains.
CoRR, 2019

Weakly-Supervised Image Semantic Segmentation Based on Superpixel Region Merging.
Big Data Cogn. Comput., 2019

Distributed Real-Time Data Aggregation Scheduling in Duty-Cycled Multi-hop Sensor Networks.
Proceedings of the Wireless Algorithms, Systems, and Applications, 2019

Swift machine learning model serving scheduling: a region based reinforcement learning approach.
Proceedings of the International Conference for High Performance Computing, 2019

Toward Accurate and Efficient Emulation of Public Blockchains in the Cloud.
Proceedings of the Cloud Computing - CLOUD 2019, 2019

FPD: A New Algorithm for Iris Matching and Evaluation Based on Frequency-modulated Phase Difference.
Proceedings of the 2019 International Conference on Artificial Intelligence and Advanced Manufacturing, 2019

2018
DVM: Scaling Out Virtual Memory in Userspace.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Toward Performant and Energy-efficient Queries in Three-tier Wireless Sensor Networks.
Proceedings of the 47th International Conference on Parallel Processing, 2018

Davram: Distributed Virtual Memory in User Space.
Proceedings of the 18th IEEE/ACM International Symposium on Cluster, 2018

Toward Scalable Analysis of Multidimensional Scientific Data: A Case Study of Electrode Arrays.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

In-memory Blockchain: Toward Efficient and Trustworthy Data Provenance for HPC Systems.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory.
Proceedings of the 11th IEEE International Conference on Cloud Computing, 2018

2017
Toward Efficient and Flexible Metadata Indexing of Big Data Systems.
IEEE Trans. Big Data, 2017

Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads.
Proc. VLDB Endow., 2017

An improved manifold ranking based method for saliency detection.
Proceedings of the 4th International Conference on Systems and Informatics, 2017

Toward Scalable Indexing and Search on Distributed and Unstructured Data.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

2016
High-Performance Storage Support for Scientific Big Data Applications on the Cloud.
Proceedings of the Resource Management for Big Data Platforms, 2016

Dynamic Virtual Chunks: On Supporting Efficient Accesses to Compressed Scientific Data.
IEEE Trans. Serv. Comput., 2016

Towards Exploring Data-Intensive Scientific Applications at Extreme Scales through Systems and Simulations.
IEEE Trans. Parallel Distributed Syst., 2016

I/O-aware bandwidth allocation for petascale computing systems.
Parallel Comput., 2016

Toward high-performance key-value stores through GPU encoding and locality-aware encoding.
J. Parallel Distributed Comput., 2016

Towards cost-effective and high-performance caching middleware for distributed systems.
Int. J. Big Data Intell., 2016

Exploiting multi-cores for efficient interchange of large messages in distributed systems.
Concurr. Comput. Pract. Exp., 2016

A convergence of key-value storage systems from clouds to supercomputers.
Concurr. Comput. Pract. Exp., 2016

Albatross: An efficient cloud-enabled task scheduling and execution framework using distributed message queues.
Proceedings of the 12th IEEE International Conference on e-Science, 2016

Toward Real-Time and Fine-Grained Monitoring of Software-Defined Networking in the Cloud.
Proceedings of the 9th IEEE International Conference on Cloud Computing, 2016

2015
High-Performance Storage Support for Scientific Applications on the Cloud.
Proceedings of the 6th Workshop on Scientific Cloud Computing, 2015

A Dynamically Scalable Cloud Data Infrastructure for Sensor Networks.
Proceedings of the 6th Workshop on Scientific Cloud Computing, 2015

I/O-Aware Batch Scheduling for Petascale Computing Systems.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

GRAPH/Z: A Key-Value Store Based Scalable Graph Processing System.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015

MHT: A light-weight scalable zero-hop MPI enabled distributed key-value store.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Toward locality-aware scheduling for containerized cloud services.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Data confidentiality challenges in big data applications.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

A flexible QoS fortified distributed key-value storage system for the cloud.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

FaBRiQ: Leveraging Distributed Hash Tables towards Distributed Publish-Subscribe Message Queues.
Proceedings of the 2nd IEEE/ACM International Symposium on Big Data Computing, 2015

2014
HyCache+: Towards Scalable High-Performance Caching Middleware for Parallel File Systems.
Proceedings of the 14th IEEE/ACM International Symposium on Cluster, 2014

FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Virtual chunks: On supporting random accesses to scientific data in compressible storage systems.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

Optimizing load balancing and data-locality with data-aware scheduling.
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014

2013
Exploring reliability of exascale systems through simulations.
Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013

HyCache: A User-Level Caching Middleware for Distributed File Systems.
Proceedings of the 2013 IEEE International Symposium on Parallel & Distributed Processing, 2013

ZHT: A Light-Weight Reliable Persistent Dynamic Scalable Zero-Hop Distributed Hash Table.
Proceedings of the 27th IEEE International Symposium on Parallel and Distributed Processing, 2013

Distributed data provenance for large-scale data-intensive computing.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

Towards high-performance and cost-effective distributed storage systems with information dispersal algorithms.
Proceedings of the 2013 IEEE International Conference on Cluster Computing, 2013

2009
Incremental Isometric Embedding of High-Dimensional Data Using Connected Neighborhood Graphs.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

2008
Solving SQL Constraints by Incremental Translation to SAT.
Proceedings of the New Frontiers in Applied Artificial Intelligence, 2008

2006
Incremental Construction of Neighborhood Graphs for Nonlinear Dimensionality Reduction.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006


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