Dongfang Zhao
Orcid: 0000-0002-0677-634XAffiliations:
- 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 106 papers
between 2006 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Domain adaptation of time series via contrastive learning with task-specific consistency.
Appl. Intell., December, 2024
NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection.
CoRR, 2024
FRAG: Toward Federated Vector Database Management for Collaborative and Secure Retrieval-Augmented Generation.
CoRR, 2024
VecLSTM: Trajectory Data Processing and Management for Activity Recognition through LSTM Vectorization and Database Integration.
CoRR, 2024
VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search.
CoRR, 2024
OPDR: Order-Preserving Dimension Reduction for Semantic Embedding of Multimodal Scientific Data.
CoRR, 2024
Stateless and Non-Interactive Order-Preserving Encryption for Outsourced Databases through Subtractive Homomorphism.
CoRR, 2024
Enhancing Data Provenance and Model Transparency in Federated Learning Systems - A Database Approach.
CoRR, 2024
UCM-Net: A lightweight and efficient solution for skin lesion segmentation using MLP and CNN.
Biomed. Signal Process. Control., 2024
Proceedings of the 10th International Workshop on Serverless Computing, 2024
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024
Privacy-Preserving Artificial Intelligence on Edge Devices: A Homomorphic Encryption Approach.
Proceedings of the IEEE International Conference on Web Services, 2024
Efficient Feature Extraction for Image Analysis through Adaptive Caching in Vector Databases.
Proceedings of the 7th International Conference on Information and Computer Technologies, 2024
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
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
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
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
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
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
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
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
IEEE Trans. Cloud Comput., 2020
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
CoRR, 2020
CoRR, 2020
Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions.
CoRR, 2020
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2020
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
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
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
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
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
IEEE Trans. Big Data, 2017
Proc. VLDB Endow., 2017
Proceedings of the 4th International Conference on Systems and Informatics, 2017
Proceedings of the 2017 IEEE International Congress on Big Data, 2017
2016
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
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
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
Proceedings of the 6th Workshop on Scientific Cloud Computing, 2015
Proceedings of the 6th Workshop on Scientific Cloud Computing, 2015
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015
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
Proceedings of the 2014 IEEE International Conference on Big Data (IEEE BigData 2014), 2014
2013
Proceedings of the 2013 Spring Simulation Multiconference, SpringSim '13, 2013
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
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
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