At Stanford, I was a research assistant advised by Professor Christopher Re, working on building and using knowledge bases. I was one of the active contributors of DeepDive, a scalable probabilistic inference engine well-received by both academy and industry.
Led a project in patent analysis. Extracted patent claim structures using probabilistic relation extraction techniques. Built a system that visualizes, compares, and searches patents, with the help of extracted structures. Published work on SIGIR 2017.
Collaborated on constructing knowledge base for semiconductor material attributes from research papers, using machine reading and relation extraction techniques.
Worked on backend functionalities of the new generation of Tableau Server, including user and group logics, and general internal tools.
A major contributor of the Stanford DeepDive project, a scalable probabilistic inference engine which was later commercialized as Lattice Data.
Led research project as a Toshiba intern. Using DeepDive to extract patent claim structure for analysis and comparison.
Interactive ideation system, assisting humans in the brainstorming by automatically suggesting new ideas.
Predict the authors of scientific publications in a multi-author setting, using writing style features.
Visualizing the MLB player networks with player statistics, using GameRank algorithm.
I wrote a Shooting Game on my own using OO programming with a very low-level C++ library called Haaf's Game Engine.
Designed the "barrages" (bullet movements) using a force model.
There are 3 stages with many enimies. It was too hard that I could rarely win the "hard" mode.