Statistical Artificial Intelligence Lab@UNIST

Artificial Intelligence and Machine Learning Research

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[Paper] Our paper, “The Relational Automatic Statistician System”, is accepted at ICML-2016 (April 2016).

Our paper, “The Automatic Statistician: A Relational Perspective” written by Yunseong, Anh and Jaesik is accepted at ICML-2016. http://arxiv.org/pdf/1511.08343v2.pdf  

[IEEE ISBI 2016 Challenge] Ranked 1st and 3rd in Skin Cancer Classification Challenges (April 2016).

Congrats that our members Thanh, Haebeom and Janghoon ranked 1st and 3rd in ISBI 2016: Skin Lesion Analysis Towards Melanoma Detection Challenges! https://challenge.kitware.com/#challenge/560d7856cad3a57cfde481ba Thanh and Janghoon’s submission ranked first in identifying dermoscopic features. https://challenge.kitware.com/#phase/56fc26f7cad3a54f8bb80e4c Haebeom and Janghoon’s submission ranked 3rd… Continue Reading →

[Semantic Segmentation] Ranked Top 10 in the PASCAL VOC 2012 (April 2016).

We have posted our results on PASCAL VOC Semantic Segmentation Results (VOC2012). As a (unique research team count), our team (model name: UNIST_GDN) performs 71.8%* (Average Precision %) and is in the 8th position after Oxford, Adelaid, The Chinese University of Hong… Continue Reading →

[Open Positions] Postdocs and PhD studentships

We invite motivated applications for Postdoc and PhD (including MS/PhD) studies.   [Vacancies] Postdoc positions The Statistical Artificial Intelligence Laboratory (SAIL) at Ulsan National Institute of Science and Technology (UNIST) invites applications for postdoctoral positions in various areas of machine… Continue Reading →

[News] Our research projects are appeared in the mass media

It is great that our research projects are appeared in Korean mass media. MBC News – Video link KBS News – Video link UBC News – Video link MBC Special – Video link Here are related papers (including papers in… Continue Reading →

[New Video] Our Baxter robot now can play the 2048 Game by using Deep Q Learning

Wonjun and Sol-a (our undergraduate interns) make our Baxter robot play the 2048 game successfully by using Deep Learning algorithms (Deep Reinforcement Learning and Neural Network for Image Recognition). Video: https://youtu.be/RXdGeF0Rvjg

[New Members] Jonghyun Koo, Thanh Nguyen, Haebeom Lee and Madi Khamitbekov

Our group welcome a new researcher/lab manager, Jongjyun Koo. We also have a new graduate member, Thanh Nguyen, the valedictorian from Talented Engineering Program at Danang University of Science and Technology, Vietnam, and two new undergrad members, Haebeom Lee (senior… Continue Reading →

[Graduation] Congrat Yunseong, Taehoon and Sanghun!

Congrats on the first MS graduate, Yunseong Hwang, and two excellent undergrad alumni, Taehoon Kim and Sanghun Kang. Yunseong (MS, 2016) started working at NAVER Search solutions (military service). Kyungjoong (PhD Candidate) started working at Stradvision, a computer vision startup…. Continue Reading →

[Paper] The Best Paper Award from DataCom 2015 for Predicting Household Electricity Usage (Dec 2015)

In collaboration with the Berkeley Lab, our members (Taehoon Kim, Dongeun Lee and Jaesik Choi) builds a predictive model for real-world household electricity data and receives the best paper award at DataCom 2015. The new model handles large-scale real-world household electricity usage data…. Continue Reading →

[Invited Presentation] Prof. Choi is invited for talks and interviews (Oct. & Nov. 2015)

Prof. Choi is invited for talks in national conferences and a university colloquium. – Machine Learning Based Plant Diagnosis, Symposium on big data application of chemical and energy processes, 2015 Fall Symposium of the Korean Institute of Chemical Engineering, October… Continue Reading →

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