Prof. Dongfang Zhao, Ph.D. [CV]
Dr. Dongfang Zhao joined the faculty of University of Washington (UW) in 2023. His research interests span artificial intelligence, databases, and high-performance computing. Before joining UW, he was a visiting professor at the University of California, Davis and an assistant professor at the University of Nevada, Reno. He also held positions at multiple government and industry labs, such as Pacific Northwest National Laboratory and IBM Almaden Research Center. He has published papers in venues like CVPR, WWW, AAAI, PAMI, SIGMOD, VLDB, ICDE, SC, and TPDS. His research has been sponsored by NSF, DOE, NASA, Microsoft, Amazon, Google, and Sloan Foundation.
Recent papers (selected from 2023-2026):
- [ICDE'26] QPAD: Quantile-Preserving Approximate Dimension Reduction for Nearest Neighbors Preservation in High-Dimensional Vector Search
- [CVPR'26] BadRSSD: Backdoor Attacks on Regularized Self-Supervised Diffusion Models
- [WWW'26] Reliable Non-Leveled Homomorphic Encryption for Web Services (acceptance rate 20%)
- [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 (acceptance rate 19%)
- [PAKDD'24] Towards Nonparametric Topological Layers in Neural Networks
- [SIGMOD'23] Toward Efficient Homomorphic Encryption for Outsourced Databases through Parallel Caching
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