Statistical Artificial Intelligence Lab@UNIST

Artificial Intelligence and Machine Learning Research

[News] Top 10% in Two Sigma Financial Modeling Challenge hosted by Kaggle

Our team composed of Giyoung, Donyeon, Sehyun and Jaesik ranked 190 (9.17%) out of 2071 teams participated.

[News] 2016 SAIL UNIST Workshop

We are pleased to hold the 2016 SAIL UNIST Workshop!  

[Demo SW] Release of Demo SW (October 2016)

We are pleased to announce the release of demo SW server to public: Currently the server includes the following demos: “Automated Time-Series Analysis” – The Relational Automatic Statistician “Semantic Image Segmentation” – Global Deconvolutional Network “Pedestrian Detection” – RCNN… Continue Reading →

[Open Positions] Grad students, Postdocs and Researchers

Our lab currently has some open positions for Grads, Postdocs and Researchers to solve some of the World’s Greatest Problems in AI! If you are interested in joining our lab, please contact Prof. Jaesik Choi at with your CV and… Continue Reading →

[New members] 4 excellent researcher/grad students and 1 undergrad intern join in this Fall (August/September 2016)

We are excited that 5 new researchers/grad/undergrad students join our lab and 2 researchers visit our lab for research collaborations in this fall.   Jangwoo Park (MS from Gwangju Institute of Science and Technology) joins as a PhD student in… Continue Reading →

[Job] Congratulations Dongeun for joining Texas A&M University-Commerce (August 2016).

In this fall, Dongeun will join the department of computer science at Texas A&M University-Commerce as an assistant professor. Congrats Prof. Dongeun Lee!

[Paper] Our paper, “Global Deconvolutional Networks for Semantic Segmentation”, is accepted at BMVC-16 (July 2016).

Our paper, “Global Deconvolutional Networks for Semantic Segmentation” written by Vladimir, Janghoon and Jaesik is accepted BMVC-16. We show that simple but innovative ways to incorporate global context information to improve deep learning based semantic segmentation. We also demonstrate that the… Continue Reading →

[New Interns] Summer student exchanges (July 2016).

Our undergrad intern, Madi, participates Google summer internship program at Mountain View, CA. Patrick Patolla (from Hamburg University of Technology, Germany) and Nikola Markovic (University of Belgrade, Serbia) visit our lab as summer graduate interns.

[Paper] Our paper, “Novel Data Reduction Based on Statistical Similarity”, is accepted at SSDBM-16 (May 2016).

Our paper, “Novel Data Reduction Based on Statistical Similarity” written by Dongeun and Jaesik is accepted at SSDBM-2016. This is a joint work with our collaborators, Alex Sim and John Wu, in the Berkeley Lab. The data reduction method is… Continue Reading →

[Paper] Our paper, “Improving Imprecise Compressive Sensing Models”, is accepted at UAI-2016 (May 2016).

Our paper, “Improving Imprecise Compressive Sensing Models” written by Dongeun, Rafael and Jaesik is accepted at UAI-2016.

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