KAIST - COMPUTER SCIENCE

  • korea
  • search
  • login

Directions

  • Vulnerable Program Synthesis Technology That Can V..

    ※ Paper Title: Fuzzle: Making a Puzzle for Fuzzers ※ Author Information: Haeun Lee (KAIST, first author), Soomin Kim (KAIST), San

  • A Unique Experiment That Could Make Social Media B..

    Sources https://www.wired.com/story/platforms-engagement-research-meta/ Prof. Miyoung Cha(KAIST School of Computing) and Sungw

  • Learning Representations of Bi-Level Knowledge Gra..

    Researchers at KAIST's Department of Computing Jiyoung Whang published a paper titled "Learning Representations of Bi-Lev

  • KAIST Developed AI that Distinguishes Objects by C..

    Korean researchers have succeeded in developing "Artificial Intelligence (AI)" that can recognize objects by learning th

  • Privacy Risks and Perceived Benefits in Open Datas..

    Privacy Risks and Perceived Benefits in Open Dataset Collection for Emotion AI Research Hyunso Lee, a Ph.D. candidate (advisor:

  • Development of Data Cleansing Technology That Can ..

    < Photograph of the researchers (Dr. Dongmin Park, Professor Jaegil Lee)> Recently, services using deep learning technolo

  • FedBalancer: Data and Pace Control for Efficient F..

    Federated Learning (FL) trains a machine learning model on distributed clients without exposing individual data. Unlike centralize

  • PartGlot: Learning Shape Part Segmentation from La..

    Juil Koo (advisor: Minhyuk Sung), a master's student at KAIST School of Computing, has introduced a novel approach to learning

  • Differentiable transient rendering for non-line-of..

    Rendering includes techniques and theories to simulate light transport effects on 3D scenes such as reflection, refraction, and sc

  • Confidence-Based Robot Navigation Under Sensor Occ..

    Professor Sung-Eui Yoon from the school of computing at KAIST has developed a robust robot navigation method under sensor occlusio

  • Designing a digital health service that supports h..

    Professor Uichin Lee’s research team from the School of Computing at KAIST and Professor Ha-Kyung Kong from Seattle Universi

  • Bug Detection in JavaScript Engines using Automati..

    Professor Sukyoung Ryu’s team from the School of Computing at KAIST has developed JEST, a JavaScript Engines and Specificati

  • Mitigating Language-Dependent Ethnic Bias in BERT

    Jaimeen Ahn, a student researcher in the Users & Information Lab led by Prof. Alice Oh at the School of Computing, published a

  • Separation-free bacterial identification in arbitr..

    Universal and fast bacterial detection technology is imperative for food safety analyses and diagnosis of infectious diseases. Alt

  • Project Black Box: Learning and predicting the eco..

    Collecting data on socioeconomic activities is critical for designing policies to promote and sustain economic development. Every

  • Using Predictive Analytics to Boost Holiday Sales

    Source : 1) https://innovate.ieee.org/innovation-spotlight/?&sp=2&ss=561 2) https://twitter.com/IEEEXplore/status/13319

  • World's best DBMS technology that significantly im..

    The research team of Professor Min-Soo Kim at our School announced on the 23rd that it has successfully developed the world's

  • Technology that accelerates mobile manipulation pl..

    Professor Sung-Eui Yoon's research team at our School developed a sampling technique and optimization technique to accelerate

  • Technology that allows a Smartwatch to identify to..

    Professor Geehyuk Lee's research team from our School recently developed a technology that classifies contact fingers on a sma

  • A robust and fast memory collection technique for ..

    Professor JeeHoon Kang's research team in our School succeeded in developing a robust and fast memory collection technique for

  • Watchpoint-based in-process memory protection tech..

    The research team of Professor Brent Byunghoon Kang of our School developed a technique for protecting in-process memory using har

  • Opening the way to smart speakers that know when t..

    On October 28th, Professor Uichin Lee's research team of our School announced the finding of an important contextual factor th

  • 3D sound source localization technology based on ..

    Professor Sung-Eui Yoon's research team in our School developed a three-dimensional sound source localization technology based

  • Technology that can Naturally Express Mathematical..

    Prof. Sukyoung Ryu's lab (Programming Language Lab) in KAIST School of Computing developed a technology that can naturally exp

  • Analysis tool for detecting and preventing errors ..

    Prof. Sukyoung Ryu's lab (Programming Language Lab) in KAIST School of Computing developed an analysis technique that can dete

  • AI Algorithm for Predicting Sleep Quality

    Professor MeeYoung Cha's research team in KAIST School of Computing developed an interpretable deep learning algorithm that ca

  • Reducing Battery Aging while Ensuring the Real-tim..

    The research team of Professor Insik Shin (Cyber-Physical Systems Lab) of KAIST School of Computing developed a technology that ca

  • An Automated Method for Detecting Security Vulnera..

    An operating system, such as Windows, MacOS, and Linux, is a very powerful and important software that manipulates all hardware an

  • A Feedback Mechanism that Maximizes the Performanc..

    The research team under Professor Sang Kil Cha (Software Security Lab) of KAIST School of Computing has developed a feedback mecha

  • Towards a system with co-evolution of software spe..

    The research team led by KAIST CS Professor Sukyoung Ryu will present two research papers at the IEEE/ACM ASE 2020, the world

  • Developing a real-time high-quality 3D content gen..

    A research team led by Professor Min H. Kim in our school together with MSRA developed a texture fusion technology that enables re

  • FLUID: Flexible User Interface Distribution for Ub..

    Professor Insik Shin from the school of computing at KAIST has developed FLUID, a novel mobile platform that allows mobile applica

  • A quick and easy smartphone app functional prototy..

    X-Droid is a new development tool that enables developers to quickly prototype an app feature by borrowing functions from any exis

  • Object Identification & Interaction with a Smartph..

    Object Identification & Interaction with a Smartphone Knock A KAIST research team led by Professor

  • Strand-accurate Multi-view Hair Capture

    Strand-accurate Multi-view Hair Capture Prof. Min H. Kim's research team at the KAIST School of Computing has deve

  • Compact Hyperspectral Imaging with Diffracted Rota..

    Compact Snapshot Hyperspectral Imaging with Diffracted Rotation Prof. Min H. Kim's research team at the KAIST School o

  • UbiTap

    Professor Insik Shin (a professor at the school of computing, KAIST) and his research team have developed UbiTap, a novel sound-ba

  • RecipeScape An Interactive Tool for Analyzing Cook..

    From cooking recipes to home improvement videos to software tutorials, people are increasingly turning to online instructions as g

  • Advancement of preventive and predictive medicine ..

    Advancement of preventive and predictive medicine in Healthcare: Uncertainty-aware Attention mechanism (UA) for reliable and accur

  • Replicate Physical Objects for AR/VR using a Smart..

    Prof. Min H. Kim’s team of the KAIST School of Computing has developed a new method that replicates physical objects for the

1 2