Philip J. Guo - RankMe

107 papers A* 27A 10B 27Journal 18Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	"Bespoke Bots": Diverse Instructor Needs for Customizing Generative AI Classroom Chatbots. CHI Irene Hou, Zeyu Xiong, Philip J. Guo, April Yi Wang
2026	J	`jnl`	"Bespoke Bots": Diverse Instructor Needs for Customizing Generative AI Classroom Chatbots. CoRR Irene Hou, Zeyu Xiong, Philip J. Guo, April Yi Wang
2026	—	`conf`	Behind the Scenes of Delivering a Large Computing Course: The Experience of a TA Managing Logistics. SIGCSE (1) Rachel S. Lim, Philip J. Guo
2026	A*	`conf`	Beyond the Desk: Barriers and Future Opportunities for AI to Assist Scientists in Embodied Physical Tasks. CHI Irene Hou, Alexander Qin, Lauren Cheng, Philip J. Guo
2026	J	`jnl`	Beyond the Desk: Barriers and Future Opportunities for AI to Assist Scientists in Embodied Physical Tasks. CoRR Irene Hou, Alexander Qin, Irene Cheng, Philip J. Guo
2025	B	`conf`	The Design Space of LLM-Based AI Coding Assistants: An Analysis of 90 Systems in Academia and Industry. VL/HCC Sam Lau, Philip J. Guo
2025	—	`conf`	Undergraduate Computing Tutors' Perceptions of their Roles, Stressors, and Barriers to Effectiveness. SIGCSE (1) Ismael Villegas Molina, Jeannie Kim, Audria Montalvo, Apollo Larragoitia, Rachel S. Lim, Philip J. Guo, Sophia Krause-Levy, Leo Porter
2024	—	`conf`	Perpetual Teaching Across Temporary Places: Conditions, Motivations, and Practices of Media Artists Teaching Computing Workshops. ICER (1) Alice Mira Chung, Philip J. Guo
2024	A*	`conf`	Taking ASCII Drawings Seriously: How Programmers Diagram Code. CHI Devamardeep Hayatpur, Brian Hempel, Kathy Chen, William Duan, Philip J. Guo, Haijun Xia
2024	B	`conf`	UNFOLD: Enabling Live Programming for Debugging GUI Applications. VL/HCC Ruanqianqian (Lisa) Huang, Philip J. Guo, Sorin Lerner
2023	B	`conf`	Foreword. VL/HCC Thomas D. LaToza, Esther Guerra, Philip J. Guo
2023	—	`conf`	From "Ban It Till We Understand It" to "Resistance is Futile": How University Programming Instructors Plan to Adapt as More Students Use AI Code Generation and Explanation Tools such as ChatGPT and GitHub Copilot. ICER (1) Sam Lau, Philip J. Guo
2023	B	`ed.`	Proceedings of the Tenth ACM Conference on Learning @ Scale, Copenhagen, Denmark, July 20-22, 2023 L@S Daniel Spikol, Olga Viberg, Alejandra Martínez-Monés, Philip J. Guo
2023	J	`jnl`	Six Opportunities for Scientists and Engineers to Learn Programming Using AI Tools Such as ChatGPT. Comput. Sci. Eng. Philip J. Guo
2023	—	`conf`	Teaching Data Science by Visualizing Data Table Transformations: Pandas Tutor for Python, Tidy Data Tutor for R, and SQL Tutor. DataEd@SIGMOD Sam Lau, Sean Kross, Eugene Wu, Philip J. Guo
2023	—	`conf`	Uncovering the Hidden Curriculum of University Computing Majors via Undergraduate-Written Mentoring Guides: A Learner-Centered Design Workflow. ICER (1) Kendall Nakai, Philip J. Guo
2022	B	`conf`	"There's no way to keep up!": Diverse Motivations and Challenges Faced by Informal Learners of ML. VL/HCC Rimika Chaudhury, Philip J. Guo, Parmit K. Chilana
2022	—	`conf`	Codehound: Helping Instructors Track Pedagogical Code Dependencies in Course Materials. SPLASH-E Sam Lau, Philip J. Guo
2022	—	`conf`	Five Pedagogical Principles of a User-Centered Design Course that Prepares Computing Undergraduates for Industry Jobs. SIGCSE (1) Sean Kross, Philip J. Guo
2022	—	`conf`	How Computer Science and Statistics Instructors Approach Data Science Pedagogy Differently: Three Case Studies. SIGCSE (1) Sam Lau, Deborah Nolan, Joseph Gonzalez, Philip J. Guo
2022	B	`conf`	Scaling Up Access to the Hidden Curriculum: A Design Methodology for Creating Undergraduate Mentoring Guides. L@S Kendall Nakai, Philip J. Guo
2022	J	`jnl`	Seq2Parse: neurosymbolic parse error repair. Proc. ACM Program. Lang. Georgios Sakkas, Madeline Endres, Philip J. Guo, Westley Weimer, Ranjit Jhala
2022	B	`conf`	The Challenges of Evolving Technical Courses at Scale: Four Case Studies of Updating Large Data Science Courses. L@S Sam Lau, Justin Eldridge, Shannon Ellis, Aaron Fraenkel, Marina Langlois, Suraj Rampure, Janine Tiefenbruck, Philip J. Guo
2022	A	`conf`	The Design Space of Livestreaming Equipment Setups: Tradeoffs, Challenges, and Opportunities. Conference on Designing Interactive Systems Ian Drosos, Philip J. Guo
2021	A	`conf`	Inside the Mind of a CS Undergraduate TA: A Firsthand Account of Undergraduate Peer Tutoring in Computer Labs. SIGCSE Julia M. Markel, Philip J. Guo
2021	J	`jnl`	Orienting, Framing, Bridging, Magic, and Counseling: How Data Scientists Navigate the Outer Loop of Client Collaborations in Industry and Academia. CoRR Sean Kross, Philip J. Guo
2021	J	`jnl`	Orienting, Framing, Bridging, Magic, and Counseling: How Data Scientists Navigate the Outer Loop of Client Collaborations in Industry and Academia. Proc. ACM Hum. Comput. Interact. Sean Kross, Philip J. Guo
2021	B	`conf`	Streamers Teaching Programming, Art, and Gaming: Cognitive Apprenticeship, Serendipitous Teachable Moments, and Tacit Expert Knowledge. VL/HCC Ian Drosos, Philip J. Guo
2021	A*	`conf`	Ten Million Users and Ten Years Later: Python Tutor's Design Guidelines for Building Scalable and Sustainable Research Software in Academia. UIST Philip J. Guo
2020	B	`conf`	Learnersourcing at Scale to Overcome Expert Blind Spots for Introductory Programming: A Three-Year Deployment Study on the Python Tutor Website. L@S Philip J. Guo, Julia M. Markel, Xiong Zhang
2020	—	`conf`	Papercode: Generating Paper-Based User Interfaces for Code Review, Annotation, and Teaching. UIST (Adjunct Volume) Priyan Vaithilingam, Julia M. Markel, Philip J. Guo
2020	B	`conf`	The Design Space of Computational Notebooks: An Analysis of 60 Systems in Academia and Industry. VL/HCC Sam Lau, Ian Drosos, Julia M. Markel, Philip J. Guo
2020	—	`conf`	Towards a dynamic multiscale personal information space: beyond application and document centered views of information. Programming Amy Rae Fox, Philip J. Guo, Clemens Nylandsted Klokmose, Peter Dalsgaard, Arvind Satyanarayan, Haijun Xia, James D. Hollan
2020	A*	`conf`	Wrex: A Unified Programming-by-Example Interaction for Synthesizing Readable Code for Data Scientists. CHI Ian Drosos, Titus Barik, Philip J. Guo, Robert DeLine, Sumit Gulwani
2019	A*	`conf`	Bespoke: Interactively Synthesizing Custom GUIs from Command-Line Applications By Demonstration. UIST Priyan Vaithilingam, Philip J. Guo
2019	B	`conf`	End-User Programmers Repurposing End-User Programming Tools to Foster Diversity in Adult End-User Programming Education. VL/HCC Sean Kross, Philip J. Guo
2019	B	`conf`	Improv: Teaching Programming at Scale via Live Coding. L@S Charles H. Chen, Philip J. Guo
2019	A*	`conf`	Mallard: Turn the Web into a Contextualized Prototyping Environment for Machine Learning. UIST Xiong Zhang, Philip J. Guo
2019	A*	`conf`	Practitioners Teaching Data Science in Industry and Academia: Expectations, Workflows, and Challenges. CHI Sean Kross, Philip J. Guo
2019	B	`conf`	Software Developers Learning Machine Learning: Motivations, Hurdles, and Desires. VL/HCC Carrie J. Cai, Philip J. Guo
2019	A	`conf`	Theory and practice of string solvers (invited talk abstract). ISSTA Adam Kiezun, Philip J. Guo, Pieter Hooimeijer, Michael D. Ernst, Vijay Ganesh
2018	B	`conf`	Codemotion: expanding the design space of learner interactions with computer programming tutorial videos. L@S Kandarp Khandwala, Philip J. Guo
2018	A*	`conf`	Fusion: Opportunistic Web Prototyping with UI Mashups. UIST Xiong Zhang, Philip J. Guo
2018	A*	`conf`	Mismatch of Expectations: How Modern Learning Resources Fail Conversational Programmers. CHI April Yi Wang, Ryan Mitts, Philip J. Guo, Parmit K. Chilana
2018	A*	`conf`	Non-Native English Speakers Learning Computer Programming: Barriers, Desires, and Design Opportunities. CHI Philip J. Guo
2018	A*	`conf`	Porta: Profiling Software Tutorials Using Operating-System-Wide Activity Tracing. UIST Alok Mysore, Philip J. Guo
2018	B	`conf`	Students, systems, and interactions: synthesizing the first four years of learning@scale and charting the future. L@S Sean Kross, Philip J. Guo
2018	B	`conf`	The Impact of Culture on Learner Behavior in Visual Debuggers. VL/HCC Kyle Thayer, Philip J. Guo, Katharina Reinecke
2017	J	`jnl`	Building tools to help students learn to program. Commun. ACM Philip J. Guo
2017	A*	`conf`	CodePilot: Scaffolding End-to-End Collaborative Software Development for Novice Programmers. CHI Jeremy Warner, Philip J. Guo
2017	A*	`conf`	DS.js: Turn Any Webpage into an Example-Centric Live Programming Environment for Learning Data Science. UIST Xiong Zhang, Philip J. Guo
2017	A	`conf`	Hack.edu: Examining How College Hackathons Are Perceived By Student Attendees and Non-Attendees. ICER Jeremy Warner, Philip J. Guo
2017	B	`conf`	HappyFace: Identifying and predicting frustrating obstacles for learning programming at scale. VL/HCC Ian Drosos, Philip J. Guo, Chris Parnin
2017	J	`jnl`	How adults ages 60+ are learning to code. Commun. ACM Philip J. Guo
2017	A*	`conf`	Older Adults Learning Computer Programming: Motivations, Frustrations, and Design Opportunities. CHI Philip J. Guo
2017	A*	`conf`	Omnicode: A Novice-Oriented Live Programming Environment with Always-On Run-Time Value Visualizations. UIST Hyeonsu B. Kang, Philip J. Guo
2017	A*	`conf`	Torta: Generating Mixed-Media GUI and Command-Line App Tutorials Using Operating-System-Wide Activity Tracing. UIST Alok Mysore, Philip J. Guo
2016	—	`conf`	Paradise unplugged: identifying barriers for female participation on stack overflow. SIGSOFT FSE Denae Ford, Justin Smith, Philip J. Guo, Chris Parnin
2016	—	`ch.`	Parse that data! Practical tips for preparing your raw data for analysis. Perspectives on Data Science for Software Engineering Philip J. Guo
2016	A*	`conf`	Understanding Conversational Programmers: A Perspective from the Software Industry. CHI Parmit K. Chilana, Rishabh Singh, Philip J. Guo
2015	B	`conf`	Codechella: Multi-user program visualizations for real-time tutoring and collaborative learning. VL/HCC Philip J. Guo, Jeffery White, Renan Zanelatto
2015	A*	`conf`	Codeopticon: Real-Time, One-To-Many Human Tutoring for Computer Programming. UIST Philip J. Guo
2015	B	`conf`	Codepourri: Creating visual coding tutorials using a volunteer crowd of learners. VL/HCC Mitchell L. Gordon, Philip J. Guo
2015	B	`conf`	How High School, College, and Online Students Differentially Engage with an Interactive Digital Textbook. EDM Jeremy Warner, John Doorenbos, Bradley N. Miller, Philip J. Guo
2015	J	`jnl`	OverCode: Visualizing Variation in Student Solutions to Programming Problems at Scale. ACM Trans. Comput. Hum. Interact. Elena L. Glassman, Jeremy Scott, Rishabh Singh, Philip J. Guo, Robert C. Miller
2015	B	`conf`	Perceptions of non-CS majors in intro programming: The rise of the conversational programmer. VL/HCC Parmit K. Chilana, Celena Alcock, Shruti Dembla, Anson Ho, Ada Hurst, Brett Armstrong, Philip J. Guo
2015	—	`conf`	Snap n' shop: Visual search-based mobile shopping made a breeze by machine and crowd intelligence. ICSC Quanzeng You, Jianbo Yuan, Jiaqi Wang, Philip J. Guo, Jiebo Luo
2015	B	`conf`	Toward a domain-specific visual discussion forum for learning computer programming: An empirical study of a popular MOOC forum. VL/HCC Joyce Zhu, Jeremy Warner, Mitchell L. Gordon, Jeffery White, Renan Zanelatto, Philip J. Guo
2015	A*	`conf`	Wait-Learning: Leveraging Wait Time for Second Language Education. CHI Carrie J. Cai, Philip J. Guo, James R. Glass, Robert C. Miller
2014	B	`conf`	A direct manipulation language for explaining algorithms. VL/HCC Jeremy Scott, Philip J. Guo, Randall Davis
2014	J	`jnl`	Clarifying human-computer interaction. Commun. ACM Philip J. Guo
2014	A*	`conf`	Crowdsourcing step-by-step information extraction to enhance existing how-to videos. CHI Juho Kim, Phu Tran Nguyen, Sarah A. Weir, Philip J. Guo, Robert C. Miller, Krzysztof Z. Gajos
2014	A*	`conf`	Data-driven interaction techniques for improving navigation of educational videos. UIST Juho Kim, Philip J. Guo, Carrie J. Cai, Shang-Wen (Daniel) Li, Krzysztof Z. Gajos, Robert C. Miller
2014	B	`conf`	Demographic differences in how students navigate through MOOCs. L@S Philip J. Guo, Katharina Reinecke
2014	B	`conf`	How video production affects student engagement: an empirical study of MOOC videos. L@S Philip J. Guo, Juho Kim, Rob Rubin
2014	B	`conf`	Modeling programming knowledge for mentoring at scale. L@S Anvisha H. Pai, Philip J. Guo, Robert C. Miller
2014	—	`conf`	OverCode: visualizing variation in student solutions to programming problems at scale. UIST (Adjunct Volume) Elena L. Glassman, Jeremy Scott, Rishabh Singh, Philip J. Guo, Robert C. Miller
2014	J	`jnl`	Refining students' coding and reviewing skills. Commun. ACM Philip J. Guo
2014	J	`jnl`	The difficulty of teaching programming languages, and the benefits of hands-on learning. Commun. ACM Mark Guzdial, Philip J. Guo
2014	B	`conf`	Understanding in-video dropouts and interaction peaks inonline lecture videos. L@S Juho Kim, Philip J. Guo, Daniel T. Seaton, Piotr Mitros, Krzysztof Z. Gajos, Robert C. Miller
2014	—	`conf`	Wait-learning: leveraging conversational dead time for second language education. CHI Extended Abstracts Carrie J. Cai, Philip J. Guo, James R. Glass, Robert C. Miller
2013	J	`jnl`	Helping scientists, engineers to work up to 100 times faster. Commun. ACM Philip J. Guo
2013	A	`conf`	Online python tutor: embeddable web-based program visualization for cs education. SIGCSE Philip J. Guo
2013	J	`jnl`	Teaching programming the way it works outside the classroom. Commun. ACM Philip J. Guo
2012	—	`conf`	BURRITO: Wrapping Your Lab Notebook in Computational Infrastructure. TaPP Philip J. Guo, Margo I. Seltzer
2012	J	`jnl`	CDE: A Tool for Creating Portable Experimental Software Packages. Comput. Sci. Eng. Philip J. Guo
2012	A*	`conf`	Characterizing and predicting which bugs get reopened. ICSE Thomas Zimmermann, Nachiappan Nagappan, Philip J. Guo, Brendan Murphy
2012	J	`jnl`	HAMPI: A solver for word equations over strings, regular expressions, and context-free grammars. ACM Trans. Softw. Eng. Methodol. Adam Kiezun, Vijay Ganesh, Shay Artzi, Philip J. Guo, Pieter Hooimeijer, Michael D. Ernst
2012	—	`—`	Software tools to facilitate research programming. Philip J. Guo
2011	A	`conf`	"Not my bug!" and other reasons for software bug report reassignments. CSCW Philip J. Guo, Thomas Zimmermann, Nachiappan Nagappan, Brendan Murphy
2011	—	`conf`	CDE: Run Any Linux Application On-Demand Without Installation. LISA Philip J. Guo
2011	—	`conf`	CDE: Using System Call Interposition to Automatically Create Portable Software Packages. USENIX ATC Philip J. Guo, Dawson R. Engler
2011	A*	`conf`	HAMPI: A String Solver for Testing, Analysis and Vulnerability Detection. CAV Vijay Ganesh, Adam Kiezun, Shay Artzi, Philip J. Guo, Pieter Hooimeijer, Michael D. Ernst
2011	A*	`conf`	Proactive wrangling: mixed-initiative end-user programming of data transformation scripts. UIST Philip J. Guo, Sean Kandel, Joseph M. Hellerstein, Jeffrey Heer
2011	—	`conf`	Sloppy Python: using dynamic analysis to automatically add error tolerance to ad-hoc data processing scripts. WODA Philip J. Guo
2011	A	`conf`	Using automatic persistent memoization to facilitate data analysis scripting. ISSTA Philip J. Guo, Dawson R. Engler
2010	—	`conf`	Characterizing and predicting which bugs get fixed: an empirical study of Microsoft Windows. ICSE (1) Philip J. Guo, Thomas Zimmermann, Nachiappan Nagappan, Brendan Murphy
2010	—	`conf`	Towards Practical Incremental Recomputation for Scientists: An Implementation for the Python Language. TaPP Philip J. Guo, Dawson R. Engler
2009	A*	`conf`	Automatic creation of SQL Injection and cross-site scripting attacks. ICSE Adam Kiezun, Philip J. Guo, Karthick Jayaraman, Michael D. Ernst
2009	A	`conf`	HAMPI: a solver for string constraints. ISSTA Adam Kiezun, Vijay Ganesh, Philip J. Guo, Pieter Hooimeijer, Michael D. Ernst
2009	—	`conf`	Linux Kernel Developer Responses to Static Analysis Bug Reports. USENIX ATC Philip J. Guo, Dawson R. Engler
2009	J	`jnl`	Opportunistic Programming: Writing Code to Prototype, Ideate, and Discover. IEEE Softw. Joel Brandt, Philip J. Guo, Joel Lewenstein, Mira Dontcheva, Scott R. Klemmer
2009	A*	`conf`	Two studies of opportunistic programming: interleaving web foraging, learning, and writing code. CHI Joel Brandt, Philip J. Guo, Joel Lewenstein, Mira Dontcheva, Scott R. Klemmer
2008	—	`conf`	Opportunistic programming: how rapid ideation and prototyping occur in practice. WEUSE@ICSE Joel Brandt, Philip J. Guo, Joel Lewenstein, Scott R. Klemmer
2007	J	`jnl`	The Daikon system for dynamic detection of likely invariants. Sci. Comput. Program. Michael D. Ernst, Jeff H. Perkins, Philip J. Guo, Stephen McCamant, Carlos Pacheco, Matthew S. Tschantz, Chen Xiao
2006	A	`conf`	Dynamic inference of abstract types. ISSTA Philip J. Guo, Jeff H. Perkins, Stephen McCamant, Michael D. Ernst
2006	A	`conf`	Inference and enforcement of data structure consistency specifications. ISSTA Brian Demsky, Michael D. Ernst, Philip J. Guo, Stephen McCamant, Jeff H. Perkins, Martin C. Rinard