Hang is currently a first-year PhD student at ielab in The University of Queensland, Australia, he works with Dr. Guido Zuccon and Dr. Bevan Koopman. He was granted the Bachelor of Science in Computer Science at the University of Minnesota Twin-Cities in United States in 2016.
He is now working on developing different machine learning approaches to improve the effectiveness in conversational search settings, broader research topics include conversational AI, multi-modal system, and natural language understanding (mainly within the conversational scenarios).
Publications are listed in this page along with corresponding github repos.
PhD in Computer Science, 2020
The University of Queensland
BSc in Computer Science, 2012
The University of Minnesota, Twin-Cities
Automatic query formulation is a challenging task. In this paper, we present a novel end-to-end set of advanced tools for information specialists. These tools are tightly integrated into an existing Open Source search strategy refining package (searchrefiner). These tools aim to address the problems associated with search strategy development by providing a complete framework from query development, to refinement, to documentation. The implementation of these tools also offers a glimpse at the ease at which related tools may be implemented within the searchrefiner ecosystem. More information about the tools including installation, documentation, screenshots, and a link to a demo is made available on the searchrefiner website: https://ielab.io/searchrefiner