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AI is Software Design

We are entering a world where anyone can easily create software using AI. AI is widely used in various fields, such as automatic program generation techniques for non-experts, automatic program repair techniques for professional developers, and automatic tutoring techniques for learners.

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  • 2021

  • An experimental study to understand user experience and perception bias occurred by fact-checking messages

    Park, Sungkyu, Park, Jaimie Yejean, Chin,Hyojin, Kang, Jeong-han, Meeyoung Cha
    2021 World Wide Web Conference, WWW 2021
    2021

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  • Elsa: Energy-based Learning for Semi-supervised Anomaly Detection

    Han, Sungwon, Song, Hyeonho, Lee, Seungeon, Park, Sungwon, Meeyoung Cha
    The 32nd British Machine Vision Conference, BMVC 2021
    2021

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  • PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation

    Kim, Minseok, Song, Hwanjun, Kim, Doyoung, Shin, Kijung, Lee Jae-Gil
    35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence
    2021

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  • 2020

  • Case Study Investigation of the Fault Detection and Error Locating Effects of Architecture-based Software Testing

    Lee, Jihyun, Sungwon Kang
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
    2020

  • Deep Physiological Affect Network for the Recognition of Human Emotions

    BYUNG HYUNG KIM, Sungho Jo
    IEEE TRANSACTIONS ON AFFECTIVE COMPUTING
    2020

    []

  • Evaluating Surprise Adequacy for Question Answering

    Seah Kim, Shin Yoo
    42nd IEEE/ACM International Conference on Software Engineering Workshops, ICSEW 2020
    2020

  • Inducing Optimal Attributes Representations for Conditional GANs

    Bhattarai, Binod, Kim Tae Kyun
    European Conference on Computer Vision (ECCV 2020)
    2020

  • Online coverage and inspection planning for 3D modeling

    Soohwan Song, Daekyum Kim, Sungho Jo
    AUTONOMOUS ROBOTS
    2020

  • Revisit Prediction by Deep Survival Analysis

    Kim, Sundong, Song, H, Sejin Kim, Kim, Beomyoung, Lee Jae-Gil
    24th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2020
    2020

  • Single Image Reflection Removal With Physically-Based Training Images

    Soomin Kim, Yuchi Hou, Sung-Eui Yoon
    Conference on Computer Vision and Pattern Recognition (CVPR)
    2020

  • TORM: Fast and Accurate Trajectory Optimization of Redundant Manipulator given an End-Effector Path

    Mincheul Kang, Heechan Shin, Donghyuk Kim, Sung-Eui Yoon
    2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2020)
    2020

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  • Unsupervised Learning of Optical Flow with Deep Feature Similarity

    Woobin Im, Kim Tae Kyun, Sung-Eui Yoon
    European Conference on Computer Vision (ECCV)
    2020

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  • 2019

  • Bayesian Weight Decay on Bounded Approximation for Deep Convolutional Neural Networks

    Jung Guk Park, Sungho Jo
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
    2019

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  • Bayesian Weight Decay on Bounded Approximation for Learning Deep Convolutional Neural Networks

    Jung Guk Park, Sungho Jo
    IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
    2019

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  • 2017

  • A System to Analyze Group Socializing Behaviors in Social Parties

    Hyukjae Jang, Choe, Sungwon P., Gunkel, Simon N. B., Kang, Seungwoo, Junehwa Song
    IEEE Transactions on Human-Machine Systems
    2017

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  • An incremental nonparametric Bayesian clustering-based traversable region detection method

    Honggu Lee, Kwak, Kiho, Sungho Jo
    AUTONOMOUS ROBOTS
    2017

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  • Search-Based Approaches for Software Module Clustering Based on Multiple Relationship Factors

    Jimin Hwa, Shin Yoo, Seo, Yeong-Seok, Doo-Hwan Bae
    INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING
    2017

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  • 2016

  • Approximate Bayesian MLP Regularization for Regression in the Presence of Noise

    Jung Guk Park, Sungho Jo
    NEURAL NETWORKS
    2016

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  • Effective multi-objective naive Bayes learning for cross-project defect prediction

    Duksan Ryu, Jongmoon BAIK
    APPLIED SOFT COMPUTING
    2016

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  • PTE: Enumerating Trillion Triangles On Distributed Systems

    Park, Ha-Myung, Sung-Hyon Myaeng, Kang, U.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
    2016

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