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Sangho Suh

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2020 – today

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2024
[c23]
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Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, Haijun Xia:
Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. CHI 2024: 644:1-644:26
[c22]
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Ryan Yen, Jiawen Stefanie Zhu, Sangho Suh, Haijun Xia, Jian Zhao:
CoLadder: Manipulating Code Generation via Multi-Level Blocks. UIST 2024: 11:1-11:20
[c21]
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Sangho Suh, Hai Dang, Ryan Yen, Josh M. Pollock, Ian Arawjo, Rubaiat Habib Kazi, Hariharan Subramonyam, Jingyi Li, Nazmus Saquib, Arvind Satyanarayan:
Dynamic Abstractions: Building the Next Generation of Cognitive Tools and Interfaces. UIST (Adjunct Volume) 2024: 91:1-91:3
2023
[c20]
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  - conf/ACMdis/KimSCX23
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Jeongyeon Kim, Sangho Suh, Lydia B. Chilton, Haijun Xia:
Metaphorian: Leveraging Large Language Models to Support Extended Metaphor Creation for Science Writing. Conference on Designing Interactive Systems 2023: 115-135
[c19]
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Sangho Suh, Mohammed Hassan:
Helping Students Understand the Code's Behavior and Purpose by Leveraging Concreteness Fading and Comics. ICER (2) 2023: 35-36
[c18]
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  - conf/sigcse/Krause-LevyPNS23
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Sophia Krause-Levy, Melissa Perez, Tamara Nelson-Fromm, Sangho Suh:
Graduate Students in CS Education Research: Continuing to Build a Multinational Community. SIGCSE (2) 2023: 1250
[c17]
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Francisco Castro, Sangho Suh, Jane L. E, Weena Naowaprateep, Yang Shi:
Developing Comic-based Learning Toolkits for Teaching Computing to Elementary School Learners. SIGCSE (2) 2023: 1325
[c16]
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Sangho Suh:
Reference Guide for Teaching Programming with Comics. SIGCSE (2) 2023: 1392
[c15]
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Sangho Suh, Bryan Min, Srishti Palani, Haijun Xia:
Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models. UIST 2023: 1:1-1:18
[c14]
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Bryan Min, Matthew T. Beaudouin-Lafon, Sangho Suh, Haijun Xia:
Demonstration of Masonview: Content-Driven Viewport Management. UIST (Adjunct Volume) 2023: 60:1-60:3
[i7]
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  - journals/corr/abs-2305-11483
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Sangho Suh, Bryan Min, Srishti Palani, Haijun Xia:
Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models. CoRR abs/2305.11483 (2023)
[i6]
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  - journals/corr/abs-2306-00464
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Sangho Suh:
Cheat Sheet for Teaching Programming with Comics: Through the Lens of Concept-Language-Procedure Framework. CoRR abs/2306.00464 (2023)
[i5]
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  - journals/corr/abs-2310-08699
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Ryan Yen, Jiawen Zhu, Sangho Suh, Haijun Xia, Jian Zhao:
CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction. CoRR abs/2310.08699 (2023)
[i4]
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  - journals/corr/abs-2310-12953
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Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, Haijun Xia:
Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. CoRR abs/2310.12953 (2023)
2022
[c13]
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  - conf/ACMdis/SuhLLZ22
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Sangho Suh, Sydney Lamorea, Edith Law, Leah Zhang-Kennedy:
PrivacyToon: Concept-driven Storytelling with Creativity Support for Privacy Concepts. Conference on Designing Interactive Systems 2022: 41-57
[c12]
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Sangho Suh, Pengcheng An:
Leveraging Generative Conversational AI to Develop a Creative Learning Environment for Computational Thinking. IUI Companion 2022: 73-76
[c11]
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  - conf/sigcse/Suh21a
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Sangho Suh:
CodeToon: A New Visual Programming Environment Using Comics for Teaching and Learning Programming. SIGCSE (2) 2022: 1177
[c10]
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Sangho Suh, Jian Zhao, Edith Law:
CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling. UIST 2022: 13:1-13:16
[i3]
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  - journals/corr/abs-2208-12981
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Sangho Suh, Jian Zhao, Edith Law:
CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling. CoRR abs/2208.12981 (2022)
2021
[c9]
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Sangho Suh, Celine Latulipe, Ken Jen Lee, Bernadette Cheng, Edith Law:
Using Comics to Introduce and Reinforce Programming Concepts in CS1. SIGCSE 2021: 369-375
[c8]
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Sangho Suh:
CodingToon: Using Authoring Tool to Create Concept-driven Comics for Programming Concepts. SIGCSE 2021: 1378
[i2]
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  - journals/corr/abs-2109-13197
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Sangho Suh, Celine Latulipe, Ken Jen Lee, Bernadette Cheng, Edith Law:
Using Comics to Introduce and Reinforce Programming Concepts in CS1. CoRR abs/2109.13197 (2021)
[i1]
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  - journals/corr/abs-2110-09252
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Sangho Suh, Ken Jen Lee, Celine Latulipe, Jian Zhao, Edith Law:
Exploring Individual and Collaborative Storytelling in an Introductory Creative Coding Class. CoRR abs/2110.09252 (2021)
2020
[c7]
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  - conf/acmidc/SuhLL20
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Sangho Suh, Martinet Lee, Edith Law:
How do we design for concreteness fading?: survey, general framework, and design dimensions. IDC 2020: 581-588
[c6]
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  - conf/chi/LawRCKLPCSD20
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Edith Law, Parastoo Baghaei Ravari, Nalin Chhibber, Dana Kulic, Stephanie Lin, Kevin Daniel Pantasdo, Jessy Ceha, Sangho Suh, Nicole Dillen:
Curiosity Notebook: A Platform for Learning by Teaching Conversational Agents. CHI Extended Abstracts 2020: 1-9
[c5]
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  - conf/vl/Suh20
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Sangho Suh:
Promoting Meaningful Learning by Supporting Interplay within Abstraction Ladder. VL/HCC 2020: 1-2
[c4]
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Sangho Suh, Martinet Lee, Gracie Xia, Edith Law:
Coding Strip: A Pedagogical Tool for Teaching and Learning Programming Concepts through Comics. VL/HCC 2020: 1-10

2010 – 2019

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2019
[c3]
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Sangho Suh:
Using Concreteness Fading to Model & Design Learning Process. ICER 2019: 353-354
2018
[j1]
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  - journals/kais/SuhSLRC18
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Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, Jaegul Choo:
Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization. Knowl. Inf. Syst. 56(3): 503-531 (2018)
2017
[c2]
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  - conf/ijcai/SuhCLR17
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Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. IJCAI 2017: 4944-4948
2016
[c1]
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Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy:
L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. ICDM 2016: 479-488

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