We read a lot of papers. This is my standarized procedure for reading a paper such that the insight from it can be kept and spread.
Dr. Deokgun Park is an assistant professor of Computer Science and Engineering Department at the University of Texas at Arlington. Dr. Park’s research objective is to program human-level artificial intelligence (HLAI). He investigates the fundamental principle of neural information processing system such that a machine can acquire human language in a human-like way in a simulated environment. He leads the Human Data Interaction Lab (UTA), which studies the models and the testbed for HLAI. You can read his research statement here. His previous work on wearable healthcare and human computer interaction is available here.
PhD in Computer Science, 2018
University of Maryland at College Park
MS in Interdisciplinary Engineering, 2014
Purdue University
MS in Biomedical Engineering, 2002
Seoul National University
BSc in Electrical Engineering, 2000
Seoul National University
A quest to program a robot that we can talk with it to ask many services like a human buttler
Journal papers (peer-reviewed)
Conference proceedings (peer-reviewed)
Pre-prints
Workshop/Poster/Abstract
We read a lot of papers. This is my standarized procedure for reading a paper such that the insight from it can be kept and spread.
This paper presents an online autoencoder that produces non-negative sparse embedding.
This paper defines intelligence as an agent’s ability to achieve goals in a wide range of environments. And authors present elegant mathematical formulation based on the concept of rewards and Kolmogorov complexity.
This lecture summarizies the current challenge of Deep Learning and a few approaches by Yoshua Bengio.
This paper presents HouseFly, which is an immersive video analytics platform where 3 years of videos from multiple camera can be shown as immersive video.
I taught the following courses: