Kai Zhao
6 papers in the PaperMetrix corpus
Papers by this author
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Beyond K-Anonymity: Protect Your Trajectory from Semantic Attack
2017
Nowadays, human trajectories are widely collected and utilized for scientific research and business purpose. However, publishing trajectory data without proper handling might cause severe privacy leakage. A large body of works are dedicated to merging …
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Gaussian Recursive Filter for Nonlinear Systems with Finite-step Correlated Noises and Packet Dropout Compensations
2020 · Measurement Science Review
Abstract This paper is focused on the nonlinear state estimation problem with finite-step correlated noises and packet loss. Firstly, by using the projection theorem repeatedly, the mean and covariance of process noise and measurement noise …
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cuSZ
2020
Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly reduces storage overhead but also can retain high fidelity for postanalysis. Because supercomputers and HPC applications are becoming …
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Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network
2022 · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
Click-through rate (CTR) prediction plays an important role in search and recommendation, which are the two most prominent scenarios in e-commerce. A number of models have been proposed to predict CTR by mining user behaviors, …
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gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
2024
GPU-aware collective communication has become a major bottleneck for modern computing platforms as GPU computing power rapidly rises. A traditional approach is to directly integrate lossy compression into GPU-aware collectives, which can lead to serious …
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Cross-sector deep learning scales life cycle assessment using unified textual descriptions
2026 · Environmental Science and Ecotechnology
Life cycle assessment (LCA) is a foundational framework for quantifying global environmental impacts to guide decarbonization and circular economy transitions. Yet, conventional inventory compilation remains severely bottlenecked by data scarcity and intensive manual curation, with …