Sangho Suh - RankMe

44 papers A* 10A 7B 2Misc 1Journal 15Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	A	`conf`	Narrative Scaffolding: A Narrative-First Framework for Data-Driven Sensemaking. IUI Oliver Huang, Muhammad Fatir, Tianyu Luo, Sangho Suh, Hariharan Subramonyam, Carolina Nobre
2026	A*	`conf`	Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation. CHI Yiren Liu, Viraj Nischal Shah, Sangho Suh, Pao Siangliulue, Tal August, Yun Huang
2026	J	`jnl`	Understanding Usage and Engagement in AI-Powered Scientific Research Tools: The Asta Interaction Dataset. CoRR Dany Haddad, Dan Bareket, Joseph Chee Chang, Jay DeYoung, Jena D. Hwang, Uri Katz, Mark Polak, Sangho Suh, Harshit Surana, Aryeh Tiktinsky, Shriya Atmakuri, Jonathan Bragg, Mike D'Arcy, Sergey Feldman, Amal Hassan-Ali, Ruben Lozano-Aguilera, Bodhisattwa Prasad Majumder, Charles McGrady, Amanpreet Singh, Brooke Vlahos, Yoav Goldberg, Doug Downey
2025	A	`conf`	Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning. IUI Majeed Kazemitabaar, Oliver Huang, Sangho Suh, Austin Z. Henley, Tovi Grossman
2025	A*	`conf`	Folk Tales of IoT: Understanding the Impact of Stories on Users' Positive and Negative Perceptions of Smart Home IoT Devices. CHI Leah Zhang-Kennedy, Michaela Valiquette, An Bella Chen, Hilda Hadan, Sangho Suh
2025	J	`jnl`	KnowledgeTrail: Generative Timeline for Exploration and Sensemaking of Historical Events and Knowledge Formation. CoRR Sangho Suh, Rahul Hingorani, Bryan Wang, Tovi Grossman
2025	A*	`conf`	MaRginalia: Enabling In-person Lecture Capturing and Note-taking Through Mixed Reality. CHI Leping Qiu, Erin Seongyoon Kim, Sangho Suh, Ludwig Sidenmark, Tovi Grossman
2025	J	`jnl`	MaRginalia: Enabling In-person Lecture Capturing and Note-taking Through Mixed Reality. CoRR Leping Qiu, Erin Seongyoon Kim, Sangho Suh, Ludwig Sidenmark, Tovi Grossman
2025	J	`jnl`	Narrative Scaffolding: Transforming Data-Driven Sensemaking Through Narrative-First Exploration. CoRR Oliver Huang, Muhammad Fatir, Steven Luo, Sangho Suh, Hariharan Subramonyam, Carolina Nobre
2025	J	`jnl`	Perspectra: Choosing Your Experts Enhances Critical Thinking in Multi-Agent Research Ideation. CoRR Yiren Liu, Viraj Nischal Shah, Sangho Suh, Pao Siangliulue, Tal August, Yun Huang
2025	A*	`conf`	StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation. UIST Sangho Suh, Michael Lai, Kevin Pu, Steven P. Dow, Tovi Grossman
2025	J	`jnl`	StoryEnsemble: Enabling Dynamic Exploration & Iteration in the Design Process with AI and Forward-Backward Propagation. CoRR Sangho Suh, Michael Lai, Kevin Pu, Steven P. Dow, Tovi Grossman
2024	A*	`conf`	CoLadder: Manipulating Code Generation via Multi-Level Blocks. UIST Ryan Yen, Jiawen Stefanie Zhu, Sangho Suh, Haijun Xia, Jian Zhao
2024	—	`conf`	Dynamic Abstractions: Building the Next Generation of Cognitive Tools and Interfaces. UIST (Adjunct Volume) Sangho Suh, Hai Dang, Ryan Yen, Josh M. Pollock, Ian Arawjo, Rubaiat Habib Kazi, Hariharan Subramonyam, Jingyi Li, Nazmus Saquib, Arvind Satyanarayan
2024	J	`jnl`	Exploring the Design Space of Cognitive Engagement Techniques with AI-Generated Code for Enhanced Learning. CoRR Majeed Kazemitabaar, Oliver Huang, Sangho Suh, Austin Z. Henley, Tovi Grossman
2024	A*	`conf`	Luminate: Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. CHI Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, Haijun Xia
2023	J	`jnl`	Cheat Sheet for Teaching Programming with Comics: Through the Lens of Concept-Language-Procedure Framework. CoRR Sangho Suh
2023	J	`jnl`	CoLadder: Supporting Programmers with Hierarchical Code Generation in Multi-Level Abstraction. CoRR Ryan Yen, Jiawen Zhu, Sangho Suh, Haijun Xia, Jian Zhao
2023	—	`conf`	Demonstration of Masonview: Content-Driven Viewport Management. UIST (Adjunct Volume) Bryan Min, Matthew T. Beaudouin-Lafon, Sangho Suh, Haijun Xia
2023	—	`conf`	Developing Comic-based Learning Toolkits for Teaching Computing to Elementary School Learners. SIGCSE (2) Francisco Castro, Sangho Suh, Jane L. E, Weena Naowaprateep, Yang Shi
2023	—	`conf`	Graduate Students in CS Education Research: Continuing to Build a Multinational Community. SIGCSE (2) Sophia Krause-Levy, Melissa Escamilla Perez, Tamara Nelson-Fromm, Sangho Suh
2023	—	`conf`	Helping Students Understand the Code's Behavior and Purpose by Leveraging Concreteness Fading and Comics. ICER (2) Sangho Suh, Mohammed Hassan
2023	A	`conf`	Metaphorian: Leveraging Large Language Models to Support Extended Metaphor Creation for Science Writing. Conference on Designing Interactive Systems Jeongyeon Kim, Sangho Suh, Lydia B. Chilton, Haijun Xia
2023	—	`conf`	Reference Guide for Teaching Programming with Comics. SIGCSE (2) Sangho Suh
2023	A*	`conf`	Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models. UIST Sangho Suh, Bryan Min, Srishti Palani, Haijun Xia
2023	J	`jnl`	Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models. CoRR Sangho Suh, Bryan Min, Srishti Palani, Haijun Xia
2023	J	`jnl`	Structured Generation and Exploration of Design Space with Large Language Models for Human-AI Co-Creation. CoRR Sangho Suh, Meng Chen, Bryan Min, Toby Jia-Jun Li, Haijun Xia
2022	—	`conf`	CodeToon: A New Visual Programming Environment Using Comics for Teaching and Learning Programming. SIGCSE (2) Sangho Suh
2022	A*	`conf`	CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling. UIST Sangho Suh, Jian Zhao, Edith Law
2022	J	`jnl`	CodeToon: Story Ideation, Auto Comic Generation, and Structure Mapping for Code-Driven Storytelling. CoRR Sangho Suh, Jian Zhao, Edith Law
2022	—	`conf`	Leveraging Generative Conversational AI to Develop a Creative Learning Environment for Computational Thinking. IUI Companion Sangho Suh, Pengcheng An
2022	A	`conf`	PrivacyToon: Concept-driven Storytelling with Creativity Support for Privacy Concepts. Conference on Designing Interactive Systems Sangho Suh, Sydney Lamorea, Edith Law, Leah Zhang-Kennedy
2021	A	`conf`	CodingToon: Using Authoring Tool to Create Concept-driven Comics for Programming Concepts. SIGCSE Sangho Suh
2021	J	`jnl`	Exploring Individual and Collaborative Storytelling in an Introductory Creative Coding Class. CoRR Sangho Suh, Ken Jen Lee, Celine Latulipe, Jian Zhao, Edith Law
2021	A	`conf`	Using Comics to Introduce and Reinforce Programming Concepts in CS1. SIGCSE Sangho Suh, Celine Latulipe, Ken Jen Lee, Bernadette Cheng, Edith Law
2021	J	`jnl`	Using Comics to Introduce and Reinforce Programming Concepts in CS1. CoRR Sangho Suh, Celine Latulipe, Ken Jen Lee, Bernadette Cheng, Edith Law
2020	B	`conf`	Coding Strip: A Pedagogical Tool for Teaching and Learning Programming Concepts through Comics. VL/HCC Sangho Suh, Martinet Lee, Gracie Xia, Edith Law
2020	—	`conf`	Curiosity Notebook: A Platform for Learning by Teaching Conversational Agents. CHI Extended Abstracts Edith Law, Parastoo Baghaei Ravari, Nalin Chhibber, Dana Kulic, Stephanie Lin, Kevin Daniel Pantasdo, Jessy Ceha, Sangho Suh, Nicole Dillen
2020	Misc	`conf`	How do we design for concreteness fading?: survey, general framework, and design dimensions. IDC Sangho Suh, Martinet Lee, Edith Law
2020	B	`conf`	Promoting Meaningful Learning by Supporting Interplay within Abstraction Ladder. VL/HCC Sangho Suh
2019	A	`conf`	Using Concreteness Fading to Model & Design Learning Process. ICER Sangho Suh
2018	J	`jnl`	Localized user-driven topic discovery via boosted ensemble of nonnegative matrix factorization. Knowl. Inf. Syst. Sangho Suh, Sungbok Shin, Joonseok Lee, Chandan K. Reddy, Jaegul Choo
2017	A*	`conf`	Local Topic Discovery via Boosted Ensemble of Nonnegative Matrix Factorization. IJCAI Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy
2016	A*	`conf`	L-EnsNMF: Boosted Local Topic Discovery via Ensemble of Nonnegative Matrix Factorization. ICDM Sangho Suh, Jaegul Choo, Joonseok Lee, Chandan K. Reddy