J
Jingzhou Liu
Researcher at Carnegie Mellon University
Publications - 16
Citations - 1180
Jingzhou Liu is an academic researcher from Carnegie Mellon University. The author has contributed to research in topics: Time complexity & Immigration. The author has an hindex of 8, co-authored 10 publications receiving 782 citations. Previous affiliations of Jingzhou Liu include Peking University.
Papers
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Proceedings ArticleDOI
Deep Learning for Extreme Multi-label Text Classification
TL;DR: This paper presents the first attempt at applying deep learning to XMTC, with a family of new Convolutional Neural Network models which are tailored for multi-label classification in particular.
Proceedings ArticleDOI
Visualizing Large-scale and High-dimensional Data
TL;DR: The LargeVis is proposed, a technique that first constructs an accurately approximated K-nearest neighbor graph from the data and then layouts the graph in the low-dimensional space and easily scales to millions of high-dimensional data points.
Posted Content
Stack-Pointer Networks for Dependency Parsing
TL;DR: This paper proposed a stack-pointer network for dependency parsing, which combines pointer networks with an internal stack to build a dependency tree top-down in a depth-first fashion from root-to-leaf.
Proceedings ArticleDOI
Visualizing Large-scale and High-dimensional Data
TL;DR: In this paper, the authors propose the LargeVis, a technique that first constructs an accurate approximated K-nearest neighbor graph from the data and then layouts the graph in the low-dimensional space.
Proceedings ArticleDOI
Stack-Pointer Networks for Dependency Parsing.
TL;DR: A novel architecture for dependency parsing: stack-pointer networks (StackPtr), which first reads and encodes the whole sentence, then builds the dependency tree top-down in a depth-first fashion, yielding an efficient decoding algorithm with O(n^2) time complexity.