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Kai Li

Researcher at Princeton University

Publications -  328
Citations -  76948

Kai Li is an academic researcher from Princeton University. The author has contributed to research in topics: Computer science & Cache. The author has an hindex of 76, co-authored 220 publications receiving 56127 citations. Previous affiliations of Kai Li include EMC Corporation & Baylor College of Medicine.

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Multiprocessor cache coherence based on virtual memory support

TL;DR: It is shown that VM-based cache coherence performs well for scientific applications that require significant aggregate memory bandwidth and basically trades off design simplicity for increased software overheads.
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Recent progress in 3D printing degradable polylactic acid‐based bone repair scaffold for the application of cancellous bone defect

TL;DR: In this article , a series of biodegradable bone repair scaffolds based on polylactic acid composites and 3D printing technology are developed to achieve large bone defects, highlighting the relationship between materials, preparation methods, and applications.
Posted Content

Large Linear Multi-output Gaussian Process Learning for Time Series

TL;DR: In this paper, a large linear GP (LLGP) is proposed for multi-output GPs, which circumvents the need for stationarity by inducing structure in the LMC kernel through a common grid of inputs shared between outputs, enabling optimization of GP hyperparameters for multidimensional outputs and low-dimensional inputs.
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Exploratory Research on Key Technology of Human-Computer Interactive 2.5-Minute Fast Digital Early Warning for Mild Cognitive Impairment

TL;DR: The experiment results show that the early warning technology, as a new generation of objective and effective digital early warning tool, can realize 2.5-minute fast and high-precision preliminary screening and early warning for MCI in the elderly.