Lisa Zhang
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Papers
2026
- 48.Lisa Zhang, Gosia Migut, Jesse H. Krijthe."Proposing Threshold Concepts in Machine Learning" Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 1. (2026).[doi][]
- 47.Lisa Zhang, Sophia Krause-Levy, Andrew Petersen."Replicating the Prerequisite-Outcome Correlation Patterns" Proceedings of the 31st ACM Conference on Innovation and Technology in Computer Science Education V. 2. (2026).[doi][]
- 46.Khushi Malik, Amber Richardson, Tingting Zhu, Lisa Zhang."Analysis of Motivations in Machine Learning Textbooks" AAAI Conference on Artificial Intelligence. (2026).[doi][]
- 45.F. Moosvi, Fraida Fund, V. Kolhatkar, Meiying Qin, T. Price, Lisa Zhang."Effective Strategies for Teaching Machine Learning" AAAI Conference on Artificial Intelligence. (2026).[doi][]
- 44.Lisa Zhang, Alice Gao, Jessica Wen, Alisha Hasan."Bridging Prerequisite Gaps: When, How, and How Much?" Proceedings of the 57th ACM Technical Symposium on Computer Science Education V.1. (2026).[doi][]
2025
- 43.Amber Richardson, Khushi Malik, Saayna Halder, Fatima Ahmed, Lisa Zhang."Interests and Challenges in Machine Learning: Differences by Gender, Prior Experience, and First Generation Status" Proceedings of the 25th Koli Calling International Conference on Computing Education Research. (2025).[doi][]
- 42.Marina Tawfik, Andrew Petersen, Leo Porter, Lisa Zhang."Prerequisites and Performance in a Machine Learning Course: A Quantitative Analysis" Proceedings of the 25th Koli Calling International Conference on Computing Education Research. (2025).[doi][]
- 41.Caroline Pechenik, Angela Zavaleta Bernuy, Selina Marianna Shah, Shirley de Wit, Dr. Emmanuel Kolog Awuni, Oscar Karnalim, M. Farghally, C. Suárez, Jack Parkinson, Leo Porter, Rodrigo Duran, Paul Vrbik, Brian Harrington, Lisa Zhang, Michael Liut, Andrew Petersen."The Impostor Phenomenon in the Global Computing Graduate Student Population" Proceedings of the ACM Global on Computing Education Conference 2025 Vol 1. (2025).[doi][]
- 40.Suqing Liu, Lisa Zhang, Oscar Karnalim, Michael Liut."Summarizing Computer Science Teaching Assistant Feedback with Large Language Models" 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC). (2025).[doi][]
- 39.Claudio Álvarez, Nickolas J. G. Falkner, P. Kinnunen, Jaromir Savelka, Lisa Zhang."Show Me the Mastery Learning! Obstacles to Adoption and Opportunities for New Solutions" Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1. (2025).[doi][]
- 38.Naaz Sibia, Amber Richardson, Alice Gao, Andrew Petersen, Lisa Zhang."Student Perspectives on the Challenges in Machine Learning" Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1. (2025).[doi][]
- 37.Bogdan Simion, Lisa Zhang, Giang Bui, Hancheng Huang, Ramzi Abu-Zeineh, Shrey Vakil."Analyzing Fine-Grained Skill Development across Computer Science Course Progressions" ACM Transactions on Computing Education. (2025).[doi][]
- 36.Todd W. Neller, Rasika Bhalerao, E. Ko, Vishodana Thamotharan, Lisa Zhang, S. Allin, Mahdi Haghifam, Michael Pawliuk, Rutwa Engineer, F. Shkurti, Cunyan Ma, D. DiPaola, Cynthia Breazeal, L. Alonzi, Brian Wright, Ali Rivera, Kristin Fasiang, Duri Long, Shruthi Chockkalingam, G. Toti, Evan Shieh, Princewill Okoroafor, T. Monroe-White, M. Haiderbhai, Carolyn Quinlan, Ashwin R. Bharadwaj, An Zhang, Rajagopal Venkatesaramani, Sarah Wharton, John Masla, Lydia Guterman, Mary Cate Gustafson-Quiett, Christina A. Bosch, Samar Abu Hegley, Calvin Macatantan, Eric Klopfer, Hal Abelson, Shira Wein, Mercy Wairimu Gachoka, Li-Hsin Chang, M. Mirzaei, Mohammad M. Ajallooeian."Model AI Assignments 2025" AAAI Conference on Artificial Intelligence. (2025).[doi][]
2024
- 35.Harsh Kumar, Mohi Reza, Jeb Thomas-Mitchell, Ilya Musabirov, Lisa Zhang, Michael Liut."Understanding Help-Seeking Behavior of Students Using LLMs vs. Web Search for Writing SQL Queries" Proceedings of the 4th International Workshop on Data Systems Education: Bridging Education Practice with Education Research. (2024).[doi][]
- 34.Brandon Jaipersaud, Paul Zhang, Jimmy Ba, Andrew Petersen, Lisa Zhang, Michael Ruogu Zhang."Decomposed Prompting to Answer Questions on a Course Discussion Board" International Conference on Artificial Intelligence in Education. (2024).[doi][]
- 33.Rutwa Engineer, Naaz Sibia, M. Kaler, Bogdan Simion, Lisa Zhang."Early Computer Science Students' Perspectives Towards The Importance Of Writing" Proceedings of the 2024 on Innovation and Technology in Computer Science Education V. 1. (2024).[doi][]
- 32.Bita Akram, Juho Leinonen, Narges Norouzi, J. Prather, Lisa Zhang."AI in Computing Education from Research to Practice" Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2. (2024).[doi][]
2023
- 31.Ouldooz Baghban Karimi, Giulia Toti, Mirela Gutica, Rebecca Robinson, Lisa Zhang, James H. Paterson, Peggy Lindner, Mike O’Dea."Enhancing Diversity and Inclusion in Computer Science Undergraduate Programs: The Role of Admissions" Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education. (2023).[doi][]
- 30.Renato Magela Zimmermann, S. Allin, Lisa Zhang."Common Errors in Machine Learning Projects: A Second Look" Proceedings of the 23rd Koli Calling International Conference on Computing Education Research. (2023).[doi][]
- 29.Angela Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Sadia Sharmin, Lisa Zhang, Andrew Petersen.""I Am Not Enough": Impostor Phenomenon Experiences of University Students" Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 1. (2023).[doi][]
- 28.Paul Zhang, Brandon Jaipersaud, Jimmy Ba, Andrew Petersen, Lisa Zhang, Michael Ruogu Zhang."Classifying Course Discussion Board Questions using LLMs" Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2. (2023).[doi][]
- 27.Ouldooz Baghban Karimi, Giulia Toti, Mirela Gutica, Rebecca Robinson, Lisa Zhang, James H. Paterson, Peggy Lindner, M. O'Dea."Exploring Computing Science Programs' Admission Procedures with a Diversity and Inclusion Lens" Proceedings of the 2023 Conference on Innovation and Technology in Computer Science Education V. 2. (2023).[doi][]
- 26.T. Neller, Stephen L. Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista K. Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, J. Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, M. Evett."Model AI Assignments 2023" AAAI Conference on Artificial Intelligence. (2023).[doi][]
- 25.Lisa Zhang, S. Allin."Just-In-Time Prerequisite Review for a Machine Learning Course" Proceedings of the 25th Western Canadian Conference on Computing Education. (2023).[doi][]
- 24.Lisa Zhang, Bogdan Simion, M. Kaler, Amna Liaqat, Daniel Dick, Andi Bergen, Michael A. Miljanovic, Andrew Petersen."Embedding and Scaling Writing Instruction Across First- and Second-Year Computer Science Courses" Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1. (2023).[doi][]
2022
- 23.Yu-Chieh Wu, Andrew Petersen, Lisa Zhang."Student Reactions to Bots on Course Q&A Platform" Proceedings of the 27th ACM Conference on on Innovation and Technology in Computer Science Education Vol. 2. (2022).[doi][]
- 22.Shion Fujimori, Mohamed Harmanani, Owais Siddiqui, Lisa Zhang."Using Deep Learning to Localize Errors in Student Code Submissions" Proceedings of the 53rd ACM Technical Symposium on Computer Science Education V. 2. (2022).[doi][]
- 21.Oluwakemi Ola, Victoria C. Chávez, Soohyun Nam Liao, Joslenne Peña, Lisa Zhang."Creating Safe Spaces for Instructor Identity in Computing" Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2. (2022).[doi][]
- 20.Angela Zavaleta Bernuy, Anna Ly, Brian Harrington, Michael Liut, Andrew Petersen, Sadia Sharmin, Lisa Zhang."Additional Evidence for the Prevalence of the Impostor Phenomenon in Computing" Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 1. (2022).[doi][]
- 19.Rehmat Munir, Francesco Strafforello, Niveditha Kani, M. Kaler, Bogdan Simion, Lisa Zhang."Exploring Common Writing Issues in Upper-Year Computer Science" Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 1. (2022).[doi][]
2021
- 18.Lisa Zhang, Pouria Fewzee, Charbel Feghali."AI education matters" AI Matters. (2021).[doi][]
- 17.T. Neller, N. Sprague, John Maraist, Lisa Zhang, Pouria Fewzee, D. Long, Jonathan Moon, Brian Magerko, Alexandria Leto, Toni Lefton, T. Williams."Model AI Assignments 2021" AAAI Conference on Artificial Intelligence. (2021).[doi][]
- 16.Lisa Zhang, Zhe Kang, Xiaoxin Sun, Hong Sun, Bangzuo Zhang, Dongbing Pu."KCRec: Knowledge-aware representation Graph Convolutional Network for Recommendation" Knowl. Based Syst.. (2021).[doi][]
2020
- 15.Xiaoxin Sun, Lisa Zhang, Yuling Wang, Mengying Yu, Minghao Yin, Bangzuo Zhang."Attribute-aware deep attentive recommendation" The Journal of Supercomputing. (2020).[doi][]
- 14.Suhua Wang, Lisa Zhang, Mengying Yu, Yuling Wang, Zhi-qiang Ma, Yu Zhao."Attribute-aware multi-task recommendation" The Journal of Supercomputing. (2020).[doi][]
- 13.T. Neller, Stephen Keeley, Michael Guerzhoy, Wolfgang Hönig, Jiaoyang Li, Sven Koenig, Ameet Soni, Krista K. Thomason, Lisa Zhang, Bibin Sebastian, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, Kumar Krishna Agrawal, J. Allingham, Sejong Yoon, Jonathan Chen, Tom Larsen, Marion Neumann, Narges Norouzi, Ryan Hausen, Matthew Evett."Model AI Assignments 2020" AAAI Conference on Artificial Intelligence. (2020).[doi][]
- 12.R. Bazzocchi, Micah Flemming, Lisa Zhang."Analyzing CS1 Student Code Using Code Embeddings" Proceedings of the 51st ACM Technical Symposium on Computer Science Education. (2020).[doi][]
- 11.Zain Kazmi, Wafiqah Raisa, Harsh Jhunjhunwala, Lisa Zhang."Recommending Personalized Review Questions using Collaborative Filtering" (2020).[]
2019
- 10.Michael Guerzhoy, Lisa Zhang, Georgy Noarov."AI education matters: building a fake news detector" AI Matters. (2019).[doi][]
- 9.Todd W. Neller, R. Sooriamurthi, Michael Guerzhoy, Lisa Zhang, Paul G. Talaga, Christopher Archibald, A. Summerville, J. Osborn, Cinjon Resnick, Avital Oliver, Surya Bhupatiraju, K. Agrawal, Nate Derbinsky, E. Strange, Marion Neumann, Jonathan Chen, Zach Christensen, M. Wollowski, Oscar Youngquist."Model AI Assignments 2019" AAAI Conference on Artificial Intelligence. (2019).[doi][]
- 8.Lisa Zhang, Michelle Craig, Mark Kazakevich, J. Williams."Experience Report: Mini Guest Lectures in a CS1 Course via Video Conferencing" Proceedings of the ACM Conference on Global Computing Education. (2019).[doi][]
- 7.Sadia Sharmin, Daniel Zingaro, Lisa Zhang, Clare Brett."Impact of Open-Ended Assignments on Student Self-Efficacy in CS1" Proceedings of the ACM Conference on Global Computing Education. (2019).[doi][]
2018
- 6.Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, M. Might, R. Urtasun, R. Zemel."Neural Guided Constraint Logic Programming for Program Synthesis" Neural Information Processing Systems. (2018).[]
- 5.Lisa Zhang, G. Gronvall."Red Teaming the Biological Sciences for Deliberate Threats" Terrorism and Political Violence. (2018).[doi][]
- 4.Kijung Yoon, Renjie Liao, Yuwen Xiong, Lisa Zhang, Ethan Fetaya, R. Urtasun, R. Zemel, Xaq Pitkow."Inference in Probabilistic Graphical Models by Graph Neural Networks" 2019 53rd Asilomar Conference on Signals, Systems, and Computers. (2018).[doi][]
- 3.Diego Marcos, D. Tuia, B. Kellenberger, Lisa Zhang, Min Bai, Renjie Liao, R. Urtasun."Learning Deep Structured Active Contours End-to-End" 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. (2018).[doi][]
- 2.Renjie Liao, Yuwen Xiong, Ethan Fetaya, Lisa Zhang, Kijung Yoon, Xaq Pitkow, R. Urtasun, R. Zemel."Reviving and Improving Recurrent Back-Propagation" ArXiv. (2018).[]
- 1.Lisa Zhang, Gregory Rosenblatt, Ethan Fetaya, Renjie Liao, William E. Byrd, R. Urtasun, R. Zemel."Leveraging Constraint Logic Programming for Neural Guided Program Synthesis" International Conference on Learning Representations. (2018).[]
Posters
Posters will appear here as the archive grows.