David Yue

I am currently a Ph.D. student in Computer Science at the University of Utah working in the Compiler Technology to Optimize Performance (CTOP) lab. My research interests lie in HPC/MLSys/Compilers. I am supervised by Dr. Mary Hall . Before that, I was a Machine Learning Research Engineer at Huawei and before that I was an undergraduate at the University of Toronto.

I graduated from the University of Toronto with a Honours Bachelor of Science - with Distinction doing a double major in Computer Science and Mathematics in June 2022.

• I'm doing an internship at Lawrence Livermore National Lab for Summer 2026. I'm working with Dr. Tal Ben-Nun.

• 📘 Blog
• 🧱 Projects
• 📕 Cook Book
• 👨🏻‍🏫 Tutoring
• 🌐 Vancouver Web Studio

My time at the University of Toronto was spent in their co-op program - having worked at companies like Shopify and Blackberry. I have also been a repeat Teaching Assistant for courses like

• Software Tools and Systems Programming
• Operating Systems
• Introduction to Numerical Algorithms for Computational Mathematics
• Computer and Network Security

and, of course, I also spent a great deal of time taking courses. Before joining the University of Toronto as an undergraduate, I attended Robert Alexander McMath Secondary School and even before that I attended Diefenbaker Elementary School .

• Masrani, V., Yue, D., Rezaei, A. Akbari, M., & Zhang, Y. (2025). Task-Agnostic Language Model Watermarking via High Entropy Passthrough Layers. AAAI'25: Association for the Advancement of Artificial Intelligence, https://doi.org/10.48550/arXiv.2412.12563
• Ranjbar Alvar, S., Akbari, M., Yue, D., Chu, L., & Zhang, Y., (2025). AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking. ICME' 25: IEEE International Conference on Multimedia & Expo 2025, https://doi.org/10.48550/arXiv.2403.05628
• Che, X., Akbari, M., Li, S., Yue, D., Zhang, Y., & Chu, L., (2024). Primary Key Free Watermarking for Numerical Dataset. ICPR '24: International Conference on Pattern Recognition https://doi.org/10.1007/978-3-031-78119-3_18
• Ranjbar Alvar, S., Akbari, M., Yue, D., & Zhang, Y. (2023). KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. https://doi.org/10.1145/3580305.3599876
• Harrington, B., Kulkarni, A., Ren, Z., Trinh, C., Gharadaghi, R., Amarouche, T., Aneel, A., Karki, A., Syed, S., & Yue, D. (2023). In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 2 (SIGCSE 2023). Association for Computing Machinery, New York, NY, USA, 1342. https://doi.org/10.1145/3545947.3576288
• I try to keep this list up to date. But my Google Scholar probably will always be more accurate.

• Yue, D., Akbari, M., Che, X., Zhang, Y. (2023). Methods and Systems for Frequency Domain-based Tabular Data Watermarking (US20250131069A1)
• Ranjbar Alvar, S., Akbari, M., Yue, D., Zhang, Y. (2023) Methods and Systems for Watermarking Digital Data (US20250062911A1)
• Ranjbar Alvar, S. Akbari, M., Yue, D., Zhang, Y. (2023). Methods and Systems for Dataset Watermarking with Adaptive Multi-Segment Message Encoding