Scholar
Dongfang Zhao
Google Scholar ID: eRaZHewAAAAJ
Assistant Professor, University of Washington
Citations & Impact
Citations
3,915
H-index
31
i10-index
111
Publications
20
Co-authors
5
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - [AAAI'26] Order-Preserving Dimension Reduction for Multimodal Semantic Embedding (acceptance rate 17%)
- - [ICDM'25] ProHD: Projection-Based Hausdorff Distance Approximation (acceptance rate 13%)
- - [ECAI'25] IPBA: Imperceptible Perturbation Backdoor Attack in Federated Self-Supervised Learning (acceptance rate 23%)
- - [ICWS'24] Privacy-Preserving Artificial Intelligence on Edge Devices: A Homomorphic Encryption Approach
- - [PAKDD'24] Towards Nonparametric Topological Layers in Neural Networks
- - [SIGMOD'23] Toward Efficient Homomorphic Encryption for Outsourced Databases through Parallel Caching
- - [IPDPS'22] Topological Modeling and Parallelization of Multidimensional Data on Microelectrode Arrays
- - [IPDPS'22] DEAN: A Lightweight and Resource-efficient Blockchain Protocol for Reliable Edge Computing
- - [ICDE'21] SciChain: Blockchain-enabled Lightweight and Efficient Data Provenance for Reproducible Scientific Computing
- - [SC'21] BAASH: lightweight, efficient, and reliable blockchain-as-a-service for HPC systems
- - [AAAI'20 oral] HDK: Toward High Performance Deep-Learning-Based Kirchhoff Analysis
- - [SC'19] Swift machine learning model serving scheduling: a region based reinforcement learning approach
- - [VLDB'17] Comparative Evaluation of Big-Data Systems on Scientific Image Analytics Workloads
- - [TPDS'16] Towards Exploring Data-Intensive Scientific Applications at Extreme Scales through Systems and Simulations
- - [IPDPS'13] ZHT: A Light-Weight Reliable Persistent Dynamic Scalable Zero-Hop Distributed Hash Table
- - [TPAMI'09] Incremental Isometric Embedding of High-Dimensional Data Using Connected Neighborhood Graphs
Research Experience
- Published research findings on artificial intelligence, data privacy protection, blockchain technology, etc., at multiple international conferences.
Background
- Research interests include AI/Database/High-Performance Computing; Specializes in Computer Science; Brief introduction: Assistant Professor of Computer Science at the University of Washington, Tacoma School of Engineering & Technology.
Miscellany
- Regularly teaches courses on distributed computing and database encryption; serves as an Associate Editor for the Journal of Big Data (Springer) and a member of the Editorial Board for IEEE Transactions on Parallel and Distributed Systems (TPDS).
