publications

  1. luminate.jpg
    CHI 2024
    Luminate Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation
    Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, and Haijun Xia
  1. masonview.jpg
    UIST 2023 Demonstration
    🏅 Best Demo Honorable Mention
    Demonstration of Masonview: Content-Driven Viewport Management
    Bryan Min, Matthew T Beaudouin-Lafon, Sangho Suh, and Haijun Xia
  2. coladder.png
    arXiv 2023
    CoLadder Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction
    Ryan Yen, Jiawen Zhu, Sangho Suh, Haijun Xia, and Jian Zhao
  3. cheatsheet.png
    arXiv 2023
    Cheat Sheet for Teaching Programming with Comics: Through the Lens of Concept-Language-Procedure Framework
    Sangho Suh
  4. sensecape.png
    UIST 2023
    Sensecape Enabling Multilevel Exploration and Sensemaking with Large Language Models
    Sangho Suh, Bryan Min, Srishti Palani, and Haijun Xia
  5. metaphorian.png
    DIS 2023
    Metaphorian Leveraging Large Language Models to Support Extended Metaphor Creation for Science Writing
    Jeongyeon Kim, Sangho Suh, Lydia Chilton, and Haijun Xia
  6. reference-guide.png
    SIGCSE 2023 Poster
    Reference Guide for Teaching Programming with Comics
    Sangho Suh
  7. comic-toolkit.png
    SIGCSE 2023 Poster
    Developing Comic-based Learning Toolkits for Teaching Computing to Elementary School Learners
    Francisco Castro, Sangho Suh, Jane E, Weena Naowaprateep, and Yang Shi
  1. codetoon.png
    UIST 2022
    CodeToon Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling
    Sangho Suh, Jian Zhao, and Edith Law
  2. privacytoon.png
    DIS 2022
    🏅 Best Paper Honorable Mention
    PrivacyToon Concept-driven Storytelling with Creativity Support for Privacy Concepts
    Sangho Suh, Sydney Lamorea, Edith Law, and Leah Zhang-Kennedy
  3. thesis.png
    PhD Thesis
    Coding Strip A Tool for Supporting Interplay within Abstraction Ladder for Computational Thinking
    Sangho Suh
  4. gen_ai.png
    IUI 2022 Demonstration
    Leveraging Generative Conversational AI to Develop a Creative Learning Environment for Computational Thinking
    Sangho Suh, and An Pengcheng
  5. SIGCSE
    SIGCSE 2022 Demonstration
    CodeToon A New Visual Programming Environment Using Comics for Teaching and Learning Programming
    Sangho Suh
  1. using_comics.png
    SIGCSE 2021
    Using Comics to Introduce and Reinforce Programming Concepts in CS1
    Sangho Suh, Celine Latulipe, Ken Jen Lee, Bernadette Cheng, and Edith Law
  2. storytelling-2.png
    arXiv 2021
    Exploring Individual and Collaborative Storytelling in an Introductory Creative Coding Class
    Sangho Suh, Ken Jen Lee, Celine Latulipe,  Jian Zhao, and Edith Law
  3. SIGCSE
    SIGCSE Demonstration
    CodingToon Using Authoring Tool to Create Concept-driven Comics for Programming Concepts
    Sangho Suh
  1. codingstrip.png
    VL/HCC 2020
    Coding Strip A Pedagogical Tool for Teaching and Learning Programming Concepts through Comics
    Sangho Suh, Martinet Lee, Gracie Xia, and Edith Law
  2. curiosity.png
    CHI 2020 Late-Breaking Work
    Curiosity Notebook A Platform for Learning by Teaching Conversational Agents
    Edith Law, Parastoo Baghaei Ravari, Nalin Chhibber, Dana Kulic, Stephanie Lin, Kevin D Pantasdo, Jessy Ceha, Sangho Suh, and Nicole Dillen
  3. concreteness.png
    IDC 2020
    How Do We Design for Concreteness Fading? Survey, General Framework, and Design Dimensions
    Sangho Suh, Martinet Lee, and Edith Law
  4. abstraction_ladder.png
    VL/HCC 2020 Doctoral Consortium
    Promoting Meaningful Learning by Supporting Interplay within Abstraction Ladder
    Sangho Suh
  1. icer.png
    ICER 2019 Doctoral Consortium
    Using concreteness fading to model & design learning process
    Sangho Suh
  1. il-ensnmf.png
    KAIS 2018
    Localized User-driven Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization
    Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K Reddy, and Jaegul Choo
  1. lensnmf-ijcai.png
    IJCAI 2017
    Local topic discovery via boosted ensemble of nonnegative matrix factorization
    Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan K Reddy
  1. revacnn-nips.png
    NIPS 2016 Workshop
    Re-VACNN Steering Convolutional Neural Network via Real-time Visual Analytics
    Sunghyo Chung, Cheonbok Park, Sangho Suh, Kyeongpil Kang, Jaegul Choo, and Bum Chul Kwon
  2. revacnn.png
    KDD 2016 Workshop
    ReVACNN Real-time Visual Analytics for Convolutional Neural Network
    Sunghyo Chung, Sangho Suh, Cheonbok Park, Kyeongpil Kang, Jaegul Choo, and Bum Chul Kwon
  3. lens-nmf.png
    ICDM 2016
    🏆 Best Paper
    L-EnsNMF Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization
    Sangho Suh, Jaegul Choo, Joonseok Lee, and Chandan K Reddy
  4. learning-analytics.png
    Learning Analytics & Educational Data Mining
    Sangho Suh
  5. eyescort.png
    HCI Korea 2016
    EYEscort Beacon-driven Navigation Service for People with Visual Impairment
    Sangho Suh, Gunhee Kim, and Jihyun Jung