ECE

School of Electrical & Computer Engineering

If you interested in this event, please receive an invitation from ECE Administration office.  

UNIST ECE student Jae-Seong Yun and Prof. Jae-Young Sim’s paper has been accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 17.730). Large-scale 3D point clouds (LS3DPCs) captured by terrestrial LiDAR (Light Detection And Ranging) scanners often include virtual points which are generated by glass reflection. The virtual points may degrade the performance

[Welcome] New faculty member

September 5, 2019

Prof.Youngbin Im has joined the School of ECE (CSEE Track) as of Sep.01, 2019. Greeting from professor I am truly happy to join UNIST as a faculty member. My research mainly focuses on the theory and algorithm based practical system implementation, and deployment. I have been actively working on a datacenter memory disaggregation system, a

One BMIPL’s paper, “Extending Stein’s unbiased risk estimator to train deep denoisers with correlated pairs of noisy images,” by Magauiya Zhussip, Shakarim Soltanayev and Se Young Chun has been accepted to NeurIPS 2019 (acceptance rate: 21.2%). Magauiya Zhussip and Shakarim Soltanayev just finished their MS program at BMIPL, UNIST. NeurIPS is one of the top machine learning conferences.

Prof.Jeong hwan Jeon has joined the School of ECE (EE Track) as of Aug.16, 2019. Greeting from professor Dr. Jeon’s areas of expertise lie in the fields of control theory, motion planning, optimization methods, robotics, autonomous systems, and future mobility including self-driving cars. His current focus of research is on the design, development, and deployment

A research paper entitled “MOSAIC: Heterogeneity-, Communication-, and Constraint-Aware Model Slicing and Execution for Accurate and Efficient Inference” has been accepted for publication at PACT’19. The paper is co-authored by Myeonggyun Han, Jihoon Hyun, Seongbeom Park, Jinsu Park, and Prof. Woongki Baek at Computer Architecture and Systems Lab. (CASL), CSE, UNIST. This work proposes MOSAIC,