Eric Huang

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This paper explores visualizations of document collections, which we call topic maps. Our topic maps are based on a topic model of the document collection, where the topic model is used to determine the semantic content of each document. Using two collections of search results, we show how topic maps reveal the semantic structure of a collection and(More)
In this paper we present a system which uses ontological resources and a gene name variation generation tool to expand concepts in the original query. The novelty of our approach lies in our concept-based normal-ization ranking model. For the 2007 Ge-nomic task, we also modified this system architecture with an additional dynamic form of query expansion(More)
We consider the problem of finding all enclosing rectangles of minimum area that can contain a given set of rectangles without overlap. Our rectangle packer chooses the x-coordinates of all the rectangles before any of the y-coordinates. We then transform the problem into a perfect-packing problem with no empty space by adding additional rectangles. To(More)
—The Internet of Things relies on connecting devices big and small to the Internet and facilitates their communication and management. This includes the smallest microcontrollers and embedded processors that perform simple but critical tasks. There are many applications where there is benefit to processing data locally on the device before sending it over(More)
Integrating heterogeneous data sets has been a significant barrier to many analytics tasks, due to the variety in structure and level of cleanliness of raw data sets requiring one-off ETL code. We propose HiperFuse, which significantly automates the data integration process by providing a declarative interface, robust type inference, extensible(More)