Dongfang Zhao

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 72

Top Topics

Lesion Segmentation

Scientific Data

Top Venues

Biomed. Signal Process. Control.

Publications

Dongfang Zhao
Stateless and Non-Interactive Order-Preserving Encryption for Outsourced Databases through Subtractive Homomorphism. CoRR (2024)
Solmaz Seyed Monir, Dongfang Zhao
Efficient Feature Extraction for Image Analysis through Adaptive Caching in Vector Databases. ICICT (2024)
Chunyu Yuan, Dongfang Zhao, Sos S. Agaian
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation. CoRR (2024)
Gefei Shen, Dongfang Zhao
Towards Nonparametric Topological Layers in Neural Networks. PAKDD (3) (2024)
Michael Gu, Ramasoumya Naraparaju, Dongfang Zhao
Enhancing Data Provenance and Model Transparency in Federated Learning Systems - A Database Approach. CoRR (2024)
Chunyu Yuan, Dongfang Zhao, Sos S. Agaian
UCM-Net: A lightweight and efficient solution for skin lesion segmentation using MLP and CNN. Biomed. Signal Process. Control. 96 (2024)
Bobo Ju, Yang Liu, Xing Hu, Dongfang Zhao, Linhua Jiang
A novel cell contour-based instance segmentation model and its applications in HER2 breast cancer discrimination. Biomed. Signal Process. Control. 85 (2023)
Dongfang Zhao
Communication-Efficient Search under Fully Homomorphic Encryption for Federated Machine Learning. CoRR (2023)
Chunyu Yuan, Dongfang Zhao, Sos S. Agaian
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN. CoRR (2023)
Abdullah Al-Mamun, Dongfang Zhao
ECHAIN: Securing Electronic Device Provenance through Privacy-Preserving Consortium Blockchains. DSN-S (2023)
Muhammad Jahanzeb Khan, Rui Hu, Mohammad Sadoghi, Dongfang Zhao
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service. CoRR (2023)
Dongfang Zhao
Silca: Singular Caching of Homomorphic Encryption for Outsourced Databases in Cloud Computing. CoRR (2023)
Olamide Timothy Tawose, Lei Yang, Dongfang Zhao
TopoCommit: A Topological Commit Protocol for Cross-Ledger Transactions in Scientific Computing. CLUSTER (2023)
Muhammad Jahanzeb Khan, Bo Fang, Dongfang Zhao
Toward Lossless Homomorphic Encryption for Scientific Computation. CoRR (2023)
Xinying Wang, Lipeng Wan, Scott Klasky, Dongfang Zhao, Feng Yan
SciLance: Mitigate Load Imbalance for Parallel Scientific Applications in Cloud Environments. CLUSTER (2023)
Dongfang Zhao
Order-Preserving Database Encryption with Secret Sharing. CoRR (2023)
Olamide Timothy Tawose, Jun Dai, Lei Yang, Dongfang Zhao
Toward Efficient Homomorphic Encryption for Outsourced Databases through Parallel Caching. Proc. ACM Manag. Data 1 (1) (2023)
Lesi Wang, Dongfang Zhao
Practical Federated Learning Infrastructure for Privacy-Preserving Scientific Computing. AI4S (2022)
Abdullah Al-Mamun, Haoting Shen, Dongfang Zhao
DEAN: A Lightweight and Resource-efficient Blockchain Protocol for Reliable Edge Computing. IPDPS (2022)
Dongfang Zhao
Rache: Radix-additive caching for homomorphic encryption. CoRR (2022)
Olamide Timothy Tawose, Bin Li, Lei Yang, Feng Yan, Dongfang Zhao
Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays. IPDPS (2022)
Dongfang Zhao
Secure Aggregation of Semi-Honest Clients and Servers in Federated Learning with Secret-Shared Homomorphism. CoRR (2022)
Xinying Wang, Cong Xu, Ke Wang, Feng Yan, Dongfang Zhao
Memory Scaling of Cloud-Based Big Data Systems: A Hybrid Approach. IEEE Trans. Big Data 8 (5) (2022)
Dongfang Zhao
CHEM: Efficient Secure Aggregation with Cached Homomorphic Encryption in Federated Machine Learning Systems. CoRR (2022)
Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky
Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. DRBSD@SC (2021)
Abdullah Al-Mamun, Feng Yan, Dongfang Zhao
BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems. SC (2021)
Abdullah Al-Mamun, Feng Yan, Dongfang Zhao
SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing. ICDE (2021)
Dongfang Zhao
XLPN: Efficient and Scalable Cross-Ledger Protocols for the Topological Consortium of Permissioned Blockchains. CoRR (2021)
Dongfang Zhao
INCHE: High-Performance Encoding for Relational Databases through Incrementally Homomorphic Encryption. CoRR (2021)
Dongfang Zhao
Nonparametric Topological Layers in Neural Networks. CoRR (2021)
Dongfang Zhao
Topological Properties of Multi-Party Blockchain Transactions. CoRR (2020)
Dongfang Zhao
Toward Equilibria and Solvability of Blockchain Pooling Strategies: A Topological Approach. CoRR (2020)
Abdullah Al-Mamun, Dongfang Zhao
SciChain: Trustworthy Scientific Data Provenance. CoRR (2020)
Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao
HDK: Toward High-Performance Deep-Learning-Based Kirchhoff Analysis. AAAI (2020)
Dongfang Zhao, Tonglin Li
Distributed Cross-Blockchain Transactions. CoRR (2020)
Dongfang Zhao
Permissioned Blockchain Revisited: A Byzantine Game-Theoretical Perspective. CoRR (2020)
Xinying Wang, Olamide Timothy Tawose, Feng Yan, Dongfang Zhao
Distributed Nonblocking Commit Protocols for Many-Party Cross-Blockchain Transactions. CoRR (2020)
Dongfang Zhao
Completeness of Cross-Blockchain Transactions: A Combinatorial-Algebraic-Topological Approach. CoRR (2020)
Abdullah Al-Mamun, Dongfang Zhao
BAASH: Enabling Blockchain-as-a-Service on High-Performance Computing Systems. CoRR (2020)
Abdullah Al-Mamun, Dongfang Zhao
Trustworthy Edge Computing through Blockchains. CoRR (2020)
Abdullah Al-Mamun, Jialin Liu, Tonglin Li, Quincey Koziol, Zhongyi Zhai, Junyan Qian, Haoting Shen, Dongfang Zhao
Reflector: a fine-grained I/O tracker for HPC systems. PPoPP (2020)
Dongfang Zhao
An Algebraic-Topological Approach to Processing Cross-Blockchain Transactions. CoRR (2020)
Dongfang Zhao
Algebraic Structure of Blockchains: A Group-Theoretical Primer. CoRR (2020)
Dongfang Zhao, Mohamed Mohamed, Heiko Ludwig
Locality-Aware Scheduling for Containers in Cloud Computing. IEEE Trans. Cloud Comput. 8 (2) (2020)
Xinying Wang, Abdullah Al-Mamun, Feng Yan, Dongfang Zhao
Toward Accurate and Efficient Emulation of Public Blockchains in the Cloud. CLOUD (2019)
Dongfang Zhao
The Blockchain Game: Synthesis of Byzantine Systems and Nash Equilibria. CoRR (2019)
Xinying Wang, Abdullah Al-Mamun, Feng Yan, Mohammad Sadoghi, Dongfang Zhao
BlockLite: A Lightweight Emulator for Public Blockchains. CoRR (2019)
Xiaohua Xu, Yi Zhao, Dongfang Zhao, Lei Yang, Spiridon Bakiras
Distributed Real-Time Data Aggregation Scheduling in Duty-Cycled Multi-hop Sensor Networks. WASA (2019)
Linhua Jiang, Xiaoli Li, Wenjun Hu, Yunliang Jiang, Wei Long, Fei Yin, Tao Feng, Dongfang Zhao
FPD: A New Algorithm for Iris Matching and Evaluation Based on Frequency-modulated Phase Difference. AIAM (2019)
Jiayao Wang, Olamide Timothy Tawose, Linhua Jiang, Dongfang Zhao
A New Data Fusion Algorithm for Wireless Sensor Networks Inspired by Hesitant Fuzzy Entropy. Sensors 19 (4) (2019)
Heyang Qin, Syed Zawad, Yanqi Zhou, Lei Yang, Dongfang Zhao, Feng Yan
Swift machine learning model serving scheduling: a region based reinforcement learning approach. SC (2019)
Quanchun Jiang, Olamide Timothy Tawose, Songwen Pei, Xiaodong Chen, Linhua Jiang, Jiayao Wang, Dongfang Zhao
Weakly-Supervised Image Semantic Segmentation Based on Superpixel Region Merging. Big Data Cogn. Comput. 3 (2) (2019)
Abdullah Al-Mamun, Ke Wang, Jialin Liu, Dongfang Zhao
DVM: Scaling Out Virtual Memory in Userspace. ICPP Workshops (2018)
Ye Niu, Abdullah Al-Mamun, Hui Lin, Tonglin Li, Yi Zhao, Dongfang Zhao
Toward Scalable Analysis of Multidimensional Scientific Data: A Case Study of Electrode Arrays. IEEE BigData (2018)
Linhua Jiang, Ke Wang, Dongfang Zhao
Davram: Distributed Virtual Memory in User Space. CCGrid (2018)
Abdullah Al-Mamun, Tonglin Li, Mohammad Sadoghi, Dongfang Zhao
In-memory Blockchain: Toward Efficient and Trustworthy Data Provenance for HPC Systems. IEEE BigData (2018)
Xinying Wang, Cong Xu, Ke Wang, Feng Yan, Dongfang Zhao
Toward Cost-Effective Memory Scaling in Clouds: Symbiosis of Virtual and Physical Memory. IEEE CLOUD (2018)
Jiayao Wang, Abdullah Al-Mamun, Tonglin Li, Linhua Jiang, Dongfang Zhao
Toward Performant and Energy-efficient Queries in Three-tier Wireless Sensor Networks. ICPP (2018)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. Proc. VLDB Endow. 10 (11) (2017)
Xiabao Wu, Xiao Lin, Linhua Jiang, Dongfang Zhao
An improved manifold ranking based method for saliency detection. ICSAI (2017)
Alexandru Iulian Orhean, Itua Ijagbone, Ioan Raicu, Kyle Chard, Dongfang Zhao
Toward Scalable Indexing and Search on Distributed and Unstructured Data. BigData Congress (2017)
Dongfang Zhao, Kan Qiao, Zhou Zhou, Tonglin Li, Zhihan Lu, Xiaohua Xu
Toward Efficient and Flexible Metadata Indexing of Big Data Systems. IEEE Trans. Big Data 3 (1) (2017)
Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan
I/O-aware bandwidth allocation for petascale computing systems. Parallel Comput. 58 (2016)
Dongfang Zhao, Kan Qiao, Zhou Zhou, Tonglin Li, Xiaobing Zhou, Ioan Raicu
Exploiting multi-cores for efficient interchange of large messages in distributed systems. Concurr. Comput. Pract. Exp. 28 (13) (2016)
Dongfang Zhao, Ning Liu, Dries Kimpe, Robert B. Ross, Xian-He Sun, Ioan Raicu
Towards Exploring Data-Intensive Scientific Applications at Extreme Scales through Systems and Simulations. IEEE Trans. Parallel Distributed Syst. 27 (6) (2016)
Tonglin Li, Xiaobing Zhou, Ke Wang, Dongfang Zhao, Iman Sadooghi, Zhao Zhang, Ioan Raicu
A convergence of key-value storage systems from clouds to supercomputers. Concurr. Comput. Pract. Exp. 28 (1) (2016)
Dongfang Zhao, Kan Qiao, Ioan Raicu
Towards cost-effective and high-performance caching middleware for distributed systems. Int. J. Big Data Intell. 3 (2) (2016)
Dongfang Zhao
Toward Real-Time and Fine-Grained Monitoring of Software-Defined Networking in the Cloud. CLOUD (2016)
Iman Sadooghi, Geet Kumar, Ke Wang, Dongfang Zhao, Tonglin Li, Ioan Raicu
Albatross: An efficient cloud-enabled task scheduling and execution framework using distributed message queues. eScience (2016)
Dongfang Zhao, Kan Qiao, Jian Yin, Ioan Raicu
Dynamic Virtual Chunks: On Supporting Efficient Accesses to Compressed Scientific Data. IEEE Trans. Serv. Comput. 9 (1) (2016)
Dongfang Zhao, Ke Wang, Kan Qiao, Tonglin Li, Iman Sadooghi, Ioan Raicu
Toward high-performance key-value stores through GPU encoding and locality-aware encoding. J. Parallel Distributed Comput. 96 (2016)
Parmita Mehta, Sven Dorkenwald, Dongfang Zhao, Tomer Kaftan, Alvin Cheung, Magdalena Balazinska, Ariel Rokem, Andrew J. Connolly, Jacob VanderPlas, Yusra AlSayyad
Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads. CoRR (2016)
Zhou Zhou, Xu Yang, Dongfang Zhao, Paul Rich, Wei Tang, Jia Wang, Zhiling Lan
I/O-Aware Batch Scheduling for Petascale Computing Systems. CLUSTER (2015)
Iman Sadooghi, Ke Wang, Dharmit Patel, Dongfang Zhao, Tonglin Li, Shiva Srivastava, Ioan Raicu
FaBRiQ: Leveraging Distributed Hash Tables towards Distributed Publish-Subscribe Message Queues. BDC (2015)
Tonglin Li, Kate Keahey, Ke Wang, Dongfang Zhao, Ioan Raicu
A Dynamically Scalable Cloud Data Infrastructure for Sensor Networks. ScienceCloud@HPDC (2015)
Tonglin Li, Chaoqi Ma, Jiabao Li, Xiaobing Zhou, Ke Wang, Dongfang Zhao, Iman Sadooghi, Ioan Raicu
GRAPH/Z: A Key-Value Store Based Scalable Graph Processing System. CLUSTER (2015)
Dongfang Zhao, Xu Yang, Iman Sadooghi, Gabriele Garzoglio, Steven Timm, Ioan Raicu
High-Performance Storage Support for Scientific Applications on the Cloud. ScienceCloud@HPDC (2015)
Xiaobing Zhou, Tonglin Li, Ke Wang, Dongfang Zhao, Iman Sadooghi, Ioan Raicu
MHT: A light-weight scalable zero-hop MPI enabled distributed key-value store. IEEE BigData (2015)
Dongfang Zhao, NagaPramod Mandagere, Gabriel Alatorre, Mohamed Mohamed, Heiko Ludwig
Toward locality-aware scheduling for containerized cloud services. IEEE BigData (2015)
Tonglin Li, Ke Wang, Dongfang Zhao, Kan Qiao, Iman Sadooghi, Xiaobing Zhou, Ioan Raicu
A flexible QoS fortified distributed key-value storage system for the cloud. IEEE BigData (2015)
Jian Yin, Dongfang Zhao
Data confidentiality challenges in big data applications. IEEE BigData (2015)
Dongfang Zhao, Jian Yin, Kan Qiao, Ioan Raicu
Virtual chunks: On supporting random accesses to scientific data in compressible storage systems. IEEE BigData (2014)
Dongfang Zhao, Kan Qiao, Ioan Raicu
HyCache+: Towards Scalable High-Performance Caching Middleware for Parallel File Systems. CCGRID (2014)
Ke Wang, Xiaobing Zhou, Tonglin Li, Dongfang Zhao, Michael Lang, Ioan Raicu
Optimizing load balancing and data-locality with data-aware scheduling. IEEE BigData (2014)
Dongfang Zhao, Zhao Zhang, Xiaobing Zhou, Tonglin Li, Ke Wang, Dries Kimpe, Philip H. Carns, Robert B. Ross, Ioan Raicu
FusionFS: Toward supporting data-intensive scientific applications on extreme-scale high-performance computing systems. IEEE BigData (2014)
Tonglin Li, Xiaobing Zhou, Kevin Brandstatter, Dongfang Zhao, Ke Wang, Anupam Rajendran, Zhao Zhang, Ioan Raicu
ZHT: A Light-Weight Reliable Persistent Dynamic Scalable Zero-Hop Distributed Hash Table. IPDPS (2013)
Dongfang Zhao, Ioan Raicu
HyCache: A User-Level Caching Middleware for Distributed File Systems. IPDPS Workshops (2013)
Dongfang Zhao, Kent Burlingame, Corentin Debains, Pedro Alvarez-Tabio, Ioan Raicu
Towards high-performance and cost-effective distributed storage systems with information dispersal algorithms. CLUSTER (2013)
Dongfang Zhao, Da Zhang, Ke Wang, Ioan Raicu
Exploring reliability of exascale systems through simulations. SpringSim (HPC) (2013)
Dongfang Zhao, Chen Shou, Tanu Malik, Ioan Raicu
Distributed data provenance for large-scale data-intensive computing. CLUSTER (2013)
Dongfang Zhao, Li Yang
Incremental Isometric Embedding of High-Dimensional Data Using Connected Neighborhood Graphs. IEEE Trans. Pattern Anal. Mach. Intell. 31 (1) (2009)
Robin Lohfert, James J. Lu, Dongfang Zhao
Solving SQL Constraints by Incremental Translation to SAT. IEA/AIE (2008)
Dongfang Zhao, Li Yang
Incremental Construction of Neighborhood Graphs for Nonlinear Dimensionality Reduction. ICPR (3) (2006)