CSE

Computer Science & Engineering

ITRC Hyper-Composable Datacenter Research Center has been launched in July 2021 in the Department of Computer Science and Engineering. •Title: Development of Next-Generation Computing Techniques for Hyper-Composable Datacenters •Period: 2021. 07. 01 – 2028. 12. 31 (7 years and 6 months) This research center tries to overcome existing data centers’ limitations by breaking the boundaries

The students Seo-young Park (3rd year, CSE), Seung-chan Kim (3rd year, CSE), and Jae-hwi Cho (4th year, CSE) have been selected for NAVER-COOP Program. “COOP” is a program in which third and fourth year students gain on-site experience at an outstanding company for six months (or a full year if the student chooses). Before the

UNIST CSE graduate students Jay H. Park (advisor Prof. Sam H. Noh) at Next-generation Embedded/Computer System Software Technology Lab (http://next.unist.ac.kr/) and Myeonggyun Han (advisor Prof. Woongki Baek) at Intelligent System Software Lab (http://issl.unist.ac.kr/) won the NAVER Ph.D. Fellowship Award. NAVER annually selects Ph.D students who have shown remarkable research achievements in computer science and awards

  A research paper entitled “SDRP: Safe, Efficient, and SLO-Aware Workload Consolidation through Secure and Dynamic Resource Partitioning” has been accepted for publication in IEEE Transactions on Services Computing. The paper is co-authored by Myeonggyun Han and Prof. Woongki Baek at Intelligent System Software Lab. (ISSL), CSE, UNIST.   This work proposes SDRP, secure and

Professor Woongki Baek in the department of Computer Science and Engineering at UNIST has been selected as a recipient of Most Influential PLDI Paper Award at PLDI 2020 for his research paper entitled “Green: A Framework for Supporting Energy-Conscious Programming using Controlled Approximation”, which was published in PLDI 2010. PLDI (ACM SIGPLAN Conference on Programming

A paper have been accepted for publication at ATC 2020. This paper is co-authored by Jay H. Park, Gyeongchan Yun, Chang M. Yi, Nguyen T. Nguyen, Seungmin Lee, Jaesik Choi (KAIST), Sam H. Noh, and Young-ri Choi.   A research paper entitled “HetPipe: Enabling Large DNN Training on (Whimpy) Heterogeneous GPU Clusters through Integration of

Prof. Seung Ryul Baek has joined the School of ECE (CSE Track) as of Apr.01, 2020. I am truly happy to join UNIST as the faculty member of the school of Electrical and Computer Engineering. My research interest generally lies in the field of computer vision and deep learning, especially on the application of 3D

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

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

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

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.

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,

A poster of BMIPL, UNIST and University of Michigan won the 2nd Place Poster Award on Physics, Instrumentation and Data Sciences at the 2019 annual meeting of Society of Nuclear Medicine and Molecular Imaging. A collaboration paper titled “On Enhancing Monte‐Carlo Scatter Correction for Y90 Bremsstrahlung SPECT using Guided Filtering” by Hanvit Kim (the first author, PhD student at

Students of BMIPL (Bio-Medical Image Processing Lab.) won five awards at NTIRE 2019 Challenges (http://www.vision.ee.ethz.ch/ntire19/) of CVPR (Computer Vision and Pattern Recognition, one of the top conferences in computer vision) under the supervision of Prof. Se Young Chun. Dongwon Park (MS program) won a Winner Award for NTIRE 2019 Challenge on Real Image Super-Resolution, a Runner-Up Award for NTIRE 2019 Challenge on Image

The paper authored by ECE students of iVADER Lab.(Chunggi Lee, Yeonjun Kime, Dongmin Kim, advisor: Prof. Sungahn Ko), “A Visual Analytics System for Exploring, Monitoring, and Forecasting Road Traffic Congestion” has been accepted at IEEE Transaction on Visualization and Computer Graphics. This paper is invited for oral presentation at the forthcoming 2019 IEEE VIS, which

Authors: Jiyeon Han*, Kyowoon Lee* , Anh Tong, Jaesik Choi (corresponding author) (* contributed equally) Title: Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes Conference: International Joint Conference on Artificial Intelligence (IJCAI 2019)  A research paper entitled “Confirmatory Bayesian Online Change Point Detection in the Covariance Structure of Gaussian Processes”

Prof. Jeon’s paper titled “Analysis of Large-Scale Multi-Tenant GPU Clusters for DNN Training Workloads” has been accepted to USENIX ATC 2019. This work was done in collaboration with researchers at Microsoft in US and China. This paper presents an in-depth analysis on a multi-tenant GPU cluster running deep learning workloads, with discussion focused on efficiency

– Authors : Anh Tong, Jaesik Choi (corresponding author) – Title: Discovering Latent Covariance Structures for Multiple Time Series – Conference :  International Conference on Machine Learning (ICML 2019) A research paper entitled “Discovering Latent Covariance Structures for Multiple Time Series” has been accepted to ICML(International Conference on Machine Learning) 2019. The paper is authored by Anh