K
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.
Papers
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Book ChapterDOI
Systems support for remote visualization of genomics applications over wide area networks
TL;DR: Varg as discussed by the authors is a remote visualization system that extends the platform-independent remote desktop system VNC with a novel global compression method, which can support interactive visualizationintensive genomic applications in a remote environment by reducing bandwidth requirements from 30:1 to 289:1.
Posted ContentDOI
NEURD: A mesh decomposition framework for automated proofreading and morphological analysis of neuronal EM reconstructions.
Brendan Celii,Stelios Papadopoulos,Zhuokun Ding,Paul G. Fahey,Eric Wang,Christos Papadopoulos,Alexander Kunin,Saumil S. Patel,J. Alexander Bae,Ágnes L. Bodor,Derrick Brittain,JoAnn Buchanan,Daniel J. Bumbarger,Manuel Castro,Erick Cobos,Sven Dorkenwald,Leila Elabbady,Akhilesh Halageri,Zhen Jia,Chris S. Jordan,D.J. Kapner,Nico Kemnitz,Sam Kinn,Kisuk Lee,Kai Li,Ran Lu,Thomas Macrina,Gayathri Mahalingam,Eric Mitchell,Shanka Subhra Mondal,Shang Mu,Barak Nehoran,Sergiy Popovych,Casey M Schneider-Mizell,William Silversmith,Marc Takeno,Russel Torres,Nicholas L. Turner,William Wong,Jingpeng Wu,Szi-chieh Yu,Wenjing Yin,Daniel Xenes,Lindsey Kitchell,Patricia K. Rivlin,Victoria A. Rose,Caitlyn Bishop,Brock A. Wester,Emmanouil Froudarakis,Edgar Y. Walker,Fabian H. Sinz,H. Sebastian Seung,Forrest Collman,Nuno Maçarico da Costa,R. Clay Reid,Xaq Pitkow,Andreas S. Tolias,Jake Reimer +57 more
TL;DR: NEURD as discussed by the authors is a software package that decomposes each meshed neuron into a compact and extensively-annotated graph representation, which can enable many downstream analyses of neural morphology and connectivity.
Journal ArticleDOI
Decoding Digital Visual Stimulation From Neural Manifold With Fuzzy Leaning on Cortical Oscillatory Dynamics
TL;DR: This work designs visual experiments and proposes a novel decoding method based on the neural manifold of cortical activity to find critical visual information and proves that the latent factors of brain activities estimated by t-SNE can be used for more accurate decoding and the stable neural manifold is found.
Book ChapterDOI
Network Interface Support for User-Level Buffer Management
TL;DR: The method requires only a minimal addition to the traditional DMA-based network interface design and eliminates the need for memory buffer management in the operating system kernel.
Posted Content
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Li-Fang Cheng,Bianca Dumitrascu,Michael Minyi Zhang,Corey Chivers,Michael Draugelis,Kai Li,Barbara E. Engelhardt +6 more
TL;DR: This work proposes a novel approach that models the effect of interventions as a hybrid Gaussian process composed of a GP capturing patient physiology convolved with a latent force model capturing effects of treatments on specific physiological features, leading to a well-characterized model of the patients' physiological state responding to interventions.