ECE

School of Electrical & Computer Engineering

NAVER AI TechTalk

December 3, 2019

검색/Clova/랩스의 AI 기술과, 이 기술들이 실생활과 주요 서비스에 어떻게 적용되고 있는지 소개드리는 자리입니다. 많은 관심 부탁드리며 참석 희망하시는 분들은 포스터 내 QR 코드의 url에 접속하셔서 참가신청 바랍니다. ■ 대상 : 국내 주요대학 학부/석사/박사 ■ 행사 진행 : 기술 설명 및 Q&A (60~90분) 및 채용안내 (10분)

A research paper entitled “Hotness- and Lifetime-Aware Data Placement and Migration for High-Performance Deep Learning on Heterogeneous Memory Systems” has been accepted for publication in IEEE Transactions on Computers. The paper is co-authored by Myeonggyun Han, Jihoon Hyun, Seongbeom Park, and Prof. Woongki Baek at Computer Architecture and Systems Lab. (CASL), CSE, UNIST. This work

UNIST ECE student Ramesh Patel, research fellow Dr. Min Woo Ryu and Prof. Kyung Rok Kim (with Prof. Ki Jin Han, Dongguk Univ.)’s paper has been accepted to IEEE Transactions on Antennas and Propagation (IF: 4.435). IEEE Transactions on Antennas and Propagation (TAP) is the most prestigious journal on the state-of-the-art works in the field

One BMIPL’s paper, “Algorithms and Analyses for Joint Spectral Image Reconstruction in Y-90 Bremsstrahlung SPECT,” by Se Young Chun, Minh Phuong Nguyen, Thanh Quoc Phan, Hanvit Kim, Jeffrey A Fessler and Yuni K. Dewaraja, has been accepted to IEEE Transactions on Medical Imaging (IF: 7.816). This is a collaboration work between UNIST and University of Michigan

UNIST ECE student Seoktae Seo, Hyunkyeong Jo and Prof. Franklin Bien’s paper has been accepted to IEEE Transactions on Power Electronics A free arrangement wireless power transfer (WPT) system with a ferrite transmission medium and geometry-based performance improvement method are introduced here. The proposed system addresses the efficiency collapse caused by misalignment or increased distance

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