Learning Deep Structured Active Contours End-to-End. - Diego Marcos; Devis Tuia; Benjamin Kellenberger; Lisa Zhang 003; Min Bai; Renjie Liao 001; Raquel Urtasun (CVPR, 2018)

Leveraging Constraint Logic Programming for Neural Guided Program Synthesis. - Lisa Zhang 003; Gregory Rosenblatt; Ethan Fetaya; Renjie Liao 001; William E. Byrd; Raquel Urtasun; Richard S. Zemel (ICLR (Workshop), 2018)

Reviving and Improving Recurrent Back-Propagation. - Renjie Liao 001; Yuwen Xiong; Ethan Fetaya; Lisa Zhang 003; KiJung Yoon; Xaq Pitkow; Raquel Urtasun; Richard S. Zemel (ICML, 2018)

Neural Guided Constraint Logic Programming for Program Synthesis. - Lisa Zhang 003; Gregory Rosenblatt; Ethan Fetaya; Renjie Liao 001; William E. Byrd; Matthew Might; Raquel Urtasun; Richard S. Zemel (NeurIPS, 2018)

Model AI Assignments 2019. - Todd W. Neller; Raja Sooriamurthi; Michael Guerzhoy; Lisa Zhang 003; Paul G. Talaga; Christopher Archibald; Adam Summerville; Joseph C. Osborn; Cinjon Resnick; Avital Oliver; Surya Bhupatiraju; Kumar Krishna Agrawal; et al. (AAAI, 2019)

Inference in Probabilistic Graphical Models by Graph Neural Networks. - KiJung Yoon; Renjie Liao 001; Yuwen Xiong; Lisa Zhang 003; Ethan Fetaya; Raquel Urtasun; Richard S. Zemel; Xaq Pitkow (ACSSC, 2019)

Impact of Open-Ended Assignments on Student Self-Efficacy in CS1. - Sadia Sharmin; Daniel Zingaro; Lisa Zhang 003; Clare Brett (CompEd, 2019)

Experience Report: Mini Guest Lectures in a CS1 Course via Video Conferencing. - Lisa Zhang 003; Michelle Craig; Mark Kazakevich; Joseph Jay Williams (CompEd, 2019)

AI education matters: building a fake news detector. - Michael Guerzhoy; Lisa Zhang 003; Georgy Noarov (AI Matters, 2019)

Model AI Assignments 2020. - Todd W. Neller; Stephen Keeley; Michael Guerzhoy; Wolfgang Hönig; Jiaoyang Li 001; Sven Koenig; Ameet Soni; Krista Thomason; Lisa Zhang 003; Bibin Sebastian; Cinjon Resnick; Avital Oliver; et al. (AAAI, 2020)

Analyzing CS1 Student Code Using Code Embeddings. - Robert Bazzocchi; Micah Flemming; Lisa Zhang 003 (SIGCSE, 2020)

Model AI Assignments 2021. - Todd W. Neller; Nathan Sprague; John Maraist; Lisa Zhang 003; Pouria Fewzee 001; Duri Long; Jonathan Moon; Brian Magerko; Alex Leto; Toni Lefton; Tom Williams 001 (AAAI, 2021)

AI education matters: text denoising autoencoder for news headlines. - Lisa Zhang 003; Pouria Fewzee 001; Charbel Feghali (AI Matters, 2021)

Student Reactions to Bots on Course Q&A Platform. - Yu-Chieh Wu; Andrew Petersen 001; Lisa Zhang 003 (ITiCSE (2), 2022)

Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing. - Angela M. Zavaleta Bernuy; Anna Ly; Brian Harrington 001; Michael Liut; Andrew Petersen 001; Sadia Sharmin; Lisa Zhang 003 (SIGCSE (1), 2022)

Using Deep Learning to Localize Errors in Student Code Submissions. - Shion Fujimori; Mohamed Harmanani; Owais Siddiqui; Lisa Zhang 003 (SIGCSE (2), 2022)

Exploring Common Writing Issues in Upper-Year Computer Science. - Rehmat Munir; Francesco Strafforello; Niveditha Kani; Michael Kaler; Bogdan Simion; Lisa Zhang 003 (SIGCSE (1), 2022)

Decomposed Prompting to Answer Questions on a Course Discussion Board. - Brandon Jaipersaud; Paul Zhang; Jimmy Ba; Andrew Petersen 001; Lisa Zhang 003; Michael R. Zhang (AIED (Posters/Late Breaking Results/...), 2023)

"I Am Not Enough": Impostor Phenomenon Experiences of University Students. - Angela M. Zavaleta Bernuy; Anna Ly; Brian Harrington 001; Michael Liut; Sadia Sharmin; Lisa Zhang 003; Andrew Petersen 001 (ITiCSE (1), 2023)

Exploring Computing Science Programs' Admission Procedures with a Diversity and Inclusion Lens. - Ouldooz Baghban Karimi; Giulia Toti; Mirela Gutica; Rebecca Robinson; Lisa Zhang 003; James H. Paterson; Peggy Lindner; Michael O'Dea (ITiCSE (2), 2023)

Enhancing Diversity and Inclusion in Computer Science Undergraduate Programs: The Role of Admissions. - Ouldooz Baghban Karimi; Giulia Toti; Mirela Gutica; Rebecca Robinson; Lisa Zhang 003; James H. Paterson; Peggy Lindner; Michael O'Dea (ITiCSE-WGR, 2023)

Classifying Course Discussion Board Questions using LLMs. - Paul Zhang; Brandon Jaipersaud; Jimmy Ba; Andrew Petersen 001; Lisa Zhang 003; Michael R. Zhang (ITiCSE (2), 2023)

Common Errors in Machine Learning Projects: A Second Look. - Renato Magela Zimmermann; Sonya Allin; Lisa Zhang 003 (Koli Calling, 2023)

Creating Safe Spaces for Instructor Identity in Computing. - Oluwakemi Ola; Victoria C. Chávez; Soohyun Nam Liao; Joslenne Peña; Lisa Zhang 003 (SIGCSE (2), 2023)

Embedding and Scaling Writing Instruction Across First- and Second-Year Computer Science Courses. - Lisa Zhang 003; Bogdan Simion; Michael Kaler; Amna Liaqat; Daniel Dick; Andi Bergen; Michael Miljanovic; Andrew Petersen 001 (SIGCSE (1), 2023)

Just-In-Time Prerequisite Review for a Machine Learning Course. - Lisa Zhang 003; Sonya Allin (WCCCE, 2023)

Mapping the Pathways: A Comparative Analysis of AI/ML/DS Prerequisite Structures in R1 Institutions in the United States. - Rose Niousha; Dev Ahluwalia; Michael Wu; Lisa Zhang 003; Narges Norouzi (FIE, 2024)

Early Computer Science Students' Perspectives Towards The Importance Of Writing. - Rutwa Engineer; Naaz Sibia; Michael Kaler; Bogdan Simion; Lisa Zhang 003 (ITiCSE (1), 2024)

AI in Computing Education from Research to Practice. - Bita Akram; Juho Leinonen 001; Narges Norouzi; James Prather; Lisa Zhang 003 (SIGCSE (2), 2024)

Model AI Assignments 2025. - Todd W. Neller; Rasika Bhalerao; Eun Kyung Ko; Vishodana Thamotharan; Lisa Zhang 003; Sonya Allin; Mahdi Haghifam; Michael Pawliuk; Rutwa Engineer; Florian Shkurti; Cunyan Ma; Daniella DiPaola; et al. (AAAI, 2025)

Comparing Artificial Intelligence Curricula in Canadian and US Universities. - Rose Niousha; Lexie Jingruo Guo; Rick Kaifeng Li; Narges Norouzi; Lisa Zhang 003 (AAAI, 2025)

The Impostor Phenomenon in the Global Computing Graduate Student Population. - Caroline Pechenik; Angela M. Zavaleta Bernuy; Selina Marianna Shah; Shirley de Wit; Emmanuel Awuni Kolog; Oscar Karnalim; Mohammed Farghally; Carlos Aníbal Suárez; Jack Parkinson; Leo Porter 001; Rodrigo Duran 001; Paul Vrbik; et al. (CompEd (1), 2025)

Summarizing Computer Science Teaching Assistant Feedback with Large Language Models. - Suqing Liu; Lisa Zhang 003; Oscar Karnalim; Michael Liut (COMPSAC, 2025)

Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries. - Harsh Kumar; Mohi Reza; Jeb Thomas-Mitchell; Ilya Musabirov; Lisa Zhang 003; Michael Liut (DataEd@SIGMOD, 2025)

Show Me the Mastery Learning! Obstacles to Adoption and Opportunities for New Solutions. - Claudio Álvarez; Nickolas J. G. Falkner; Päivi Kinnunen; Jaromír Savelka; Lisa Zhang 003 (ITiCSE (1), 2025)

Student Perspectives on the Challenges in Machine Learning. - Naaz Sibia; Amber Richardson; Alice Gao; Andrew Petersen 001; Lisa Zhang 003 (ITiCSE (1), 2025)

Interests and Challenges in Machine Learning: Differences by Gender, Prior Experience, and First Generation Status. - Amber Richardson; Khushi Malik; Saayna Halder; Fatima Ahmed; Lisa Zhang 003 (Koli Calling, 2025)

Prerequisites and Performance in a Machine Learning Course: A Quantitative Analysis. - Marina Tawfik; Andrew Petersen 001; Leo Porter 001; Lisa Zhang 003 (Koli Calling, 2025)

Analyzing Fine-Grained Skill Development across Computer Science Course Progressions. - Bogdan Simion; Lisa Zhang 003; Giang Bui; Hancheng Huang; Ramzi Abu-Zeineh; Shrey Vakil (ACM Trans. Comput. Educ., 2025)

Analysis of Motivations in Machine Learning Textbooks. - Khushi Malik; Amber Richardson; Tingting Zhu; Lisa Zhang 003 (AAAI, 2026)

Effective Strategies for Teaching Machine Learning. - Firas Moosvi; Fraida Fund; Varada Kolhatkar; Meiying Qin; Thomas W. Price; Lisa Zhang 003 (AAAI, 2026)

Bridging Prerequisite Gaps: When, How, and How Much? - Lisa Zhang 003; Alice Gao; Jessica Wen; Alisha Hasan (SIGCSE (1), 2026)

AI-Generated Slides: Are They Good? Can Students Tell? - Juho Leinonen 001; Lisa Zhang 003; Arto Hellas (CoRR, 2026)