Last updated: Jun 18, 2019
Seok Hyun Jin
My name is Seok Hyun Jin, but I just go by Jin.
I'm a software engineer working for Amazon. I'm currently working in Amazon Prime Air, a drone-based delivery system.
Previously, I worked for Amazon Web Services. I worked on launching two ML products under Amazon A.I.: Amazon Comprehend and Amazon Translate. Also, I briefly worked for AWS IoT Greengrass.
In 2016, I finished my studies in Computer Science at Cornell University with a Bachelor's and a Master's degree.
For about 3 years, I was actively involved in research in areas of
Machine Learning, Robot Learning, and Social Computing.
I was a research assistant under Prof. Ashutosh Saxena at the Cornell Robot Learning Lab working on the Robobarista project, which uses deep learning to enable robots to manipulate novel objects.
I also did research under Prof. David Mimno on the Chinese Voting Process project, which models online social behavior using probabilistic methods.
Also, I served as a teaching assistant for machine learning courses taught by Prof. Thorsten Joachims (2014) and Prof. Kilian Weinberger (2015).
Seok Hyun Jin
email: sj372 at cornell dot edu
email: sj372 at cornell dot edu
My name is Seok Hyun Jin, but I just go by Jin.
I'm a software engineer working for Amazon. I'm currently working in Amazon Prime Air, a drone-based delivery system.
Previously, I worked for Amazon Web Services. I worked on launching two ML products under Amazon A.I.: Amazon Comprehend and Amazon Translate. Also, I briefly worked for AWS IoT Greengrass.
In 2016, I finished my studies in Computer Science at Cornell University with a Bachelor's and a Master's degree.
For about 3 years, I was actively involved in research in areas of
Machine Learning, Robot Learning, and Social Computing.
I was a research assistant under Prof. Ashutosh Saxena at the Cornell Robot Learning Lab working on the Robobarista project, which uses deep learning to enable robots to manipulate novel objects.
I also did research under Prof. David Mimno on the Chinese Voting Process project, which models online social behavior using probabilistic methods.
Also, I served as a teaching assistant for machine learning courses taught by Prof. Thorsten Joachims (2014) and Prof. Kilian Weinberger (2015).
Publications
Conference:
-
Moontae Lee, Seok Hyun Jin, David Mimno.
"Beyond Exchangeability: The Chinese Voting Process".
In Neural Information Processing Systems (NIPS), 2016, Barcelona, Spain. Full Oral (Acceptance rate: 46 / 2500 ~ 1.84%)
[Details] [PDF] [arXiv] -
Jaeyong Sung, Seok Hyun Jin, Ashutosh Saxena.
"Robobarista: Object Part-based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds".
In International Symposium on Robotics Research (ISRR), 2015.
[Details] [PDF] [arXiv]
Journal:
-
Jaeyong Sung, Seok Hyun Jin, Ian Lenz, Ashutosh Saxena.
"Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding".
Status: Under review for International Journal of Robotics Research (IJRR).
[Details] [PDF] [arXiv]
Workshop:
-
Moontae Lee, Seok Hyun Jin, David Mimno.
"The Chinese Voting Process: The Evolution of Online Helpfulness Evaluations in Product Reviews and Question Answers".
In Proceedings of the 12th INFORMS Workshop on Data Mining and Decision Analytics, Houston, Texas.
Selected for Oral Presentations.
[Details] [PDF] -
Jaeyong Sung, Seok Hyun Jin, Ashutosh Saxena.
"Robobarista: Object Part-based Transfer of Manipulation Trajectories from Crowd-sourcing in 3D Pointclouds".
In AAAI-RSS Special Workshop on the 50th Anniversary of Shakey at RSS, 2015.
(
Won 50-years of Shakey Blue Sky Ideas Award
)
[Details]
Others:
-
Jaeyong Sung, Ian Lenz, Seok Hyun Jin, Ashutosh Saxena.
"Robobarista: Learning to Manipulate Novel Objects via Deep Multimodal Embedding".
In BayLearn Symposium, 2015.
[Details] [PDF (extended abstract)]