Dongfang Zhao
Computer Science · Indiana University
Publications
137
Citations
1,381
Est. group size
—
Recurring co-author estimate
Active years
19
Publishing since 2008
Dongfang Zhao works in computer systems and data infrastructure, spanning cloud and edge computing, data storage, and content delivery. Recent work focuses heavily on efficient high-dimensional vector search, GPU-accelerated graph algorithms, privacy-preserving and homomorphic encryption (computing on encrypted data), and federated machine learning (training models across distributed parties without sharing raw data). Some recent output also touches applied mathematics and algebraic geometry as it relates to encryption schemes.
Publication activity has been growing, with a notable increase to roughly 19-20 papers per year in 2024 and 2025 after more moderate output earlier in the decade.
Generated by claude-opus-4-8 from public bibliographic data · Jul 11, 2026
- ETALE: Evolving Topology with Accelerated Lock-free Execution for Dynamic Graph ANN Search on GPUs
Zenodo (CERN European Organization for Nuclear Research) · 2026
- ETALE: Evolving Topology with Accelerated Lock-free Execution for Dynamic Graph ANN Search on GPUs
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Federated learning and information sharing between competitors with different training effectiveness
Journal of Economy and Technology · 2025
- An intelligent fuzzy PI hybrid control strategy for energy optimization and N2O mitigation in WWTPs: A model-based study
Journal of Cleaner Production · 2025
- GraphQL vs. REST: Investigating Performance and Scalability for Serverless Data Persistence
2025
- 3D-AMTA: Occlusion-Aware Real-Time 3D Hand Pose Estimation with Auto Mask and Token-Specific Attention
2025
- UCM-NetV2: An efficient and accurate deep learning model for skin lesion segmentation
Journal of Economy and Technology · 2025
- VLWE: Variety-based Learning with Errors for Vector Encryption through Algebraic Geometry
arXiv (Cornell University) · 2025
- A Note on Efficient Privacy-Preserving Similarity Search for Encrypted Vectors
arXiv (Cornell University) · 2025
- Corrigendum to “Federated learning and information sharing between competitors with different training effectiveness” [J. Econ. Technol. (2025) 1–9]
Journal of Economy and Technology · 2025
- Approximate Fiber Products of Schemes and Their Étale Homotopical Invariants
arXiv (Cornell University) · 2025
- QPAD: Quantile-Preserving Approximate Dimension Reduction for Nearest Neighbors Preservation in High-Dimensional Vector Search
arXiv (Cornell University) · 2025
- Hermes: Efficient Global Homomorphic Aggregation over Mutable Packed Ciphertexts
ArXiv.org · 2025
- Distributed FaaSRunner: Enabling Reproducible Multi-node, Multi-threaded Function-as-a-Service Endpoint Testing
2025
- Image Enhancement Combined with LLM Collaboration for Low-Contrast Image Character Recognition
Computers, materials & continua/Computers, materials & continua (Print) · 2025
- arXiv (Cornell University)×37
- Lecture notes in computer science×4
- Journal of Economy and Technology×3
- Biomedical Signal Processing and Control×2
- 2022 IEEE International Parallel and Distributed Processing Symposium (IPDPS)×2
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 11, 2026.
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