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News
Our undergraduate student, Janghoon Ju, ranked top 10% in the ECML/PKDD 15: Taxi Trip Time Prediction competition, which is to predict how long a drive will have his taxi occupied given an initial fragment of taxi trip recorder. Janghoon’s final rank was… Continue Reading →
We thank for Prof. Bohyung Han for presenting an interesting recent result in deep learning (flyer).
In the summer, our lab members will visit the Berkeley Lab and Argonne National Laboratory for research collaborations. Dongeun (Postdoc) and Taehoon (Undergrad) will visit the Berkeley lab for 6 months and 3 months respectively. Giyoung will visit Argonne National… Continue Reading →
A new National IT Industry Promotion Agency (NIPA) grant is acknowledged (January 2015 ~ December 2016). This is a collaborative effort with the City of Ulsan (PI: Ulsan Economic Promotion Agency) and Daedo Techra, a local manufacturing company. The new… Continue Reading →
A New Method for Estimating the Partition Function of Exponential Random Graph Models!Paper, A Deterministic Partition Function Approximation for Exponential Random Graph Models by Wen Pu (Linked In), Jaesik Choi, Yunseong Hwang and Eyal Amir (University of Illinois) is accepted at the… Continue Reading →
We thank for the exciting talk about Deep Learning from Dr. Heeyoul Choi from Samsung in April 2015 (flyer)!
A magazine article written by Prof. Choi is published in TECHM magazine, a Korean tech magazine for the general public.
New Machine Learning Algorithm that Monitors Memory Behaviors for Secure Embedded Systems! Paper, Memory Heat Map: Anomaly Detection in Real-Time Embedded Systems Using Memory Behavior, by Man-Ki Yoon, Sibin Mohan, Jaesik Choi and Lui Sha is accepted Design Automation Conference (DAC 2015)*. This research is… Continue Reading →
We’ve started a two month-long pilot project with Doosan Heavy Industry and Construction (world-leading power plant builder). This is our first industrial research collaboration.
New Learning Compressive Sensing models! Paper, Learning Compressive Sensing Models for Big Spatio-Temporal Data by Dongeun Lee and Jaesik Choi is accepted at 2015 SIAM International Conference on Data Mining (SDM 2015). (December 2014)
