David Yue

Hello! 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 interested in pursuing a Ph.D in Compiler Optimizations.

See my blog.

I run a small business called Vancouver Web Studio

I also offer tutoring services to K-12 and undergraduate students in Mathematics and Computer Science. The rate for K-12 is $30/hr and $45/hr for undergraduate students. If you or someone you know is interested, please reach out to me directly. I also have a SuperProf profile, however I strongly recommend email as I will be able to get back to you sooner.

If you wish to contact me, going through email is usually best. I do not check other social platforms as often as I check my email. My email is listed at the bottom of the page.

During my studies at the University of Toronto, I used the email david.yue@mail.utoronto.ca.

• 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/XXXXXXX (Accepted)
• 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., Chu, L., & Zhang, Y., (n.d.). AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking. Submitted to 2025 IEEE International Conference on Acoustics, Speech and Signal Processing., https://doi.org/XXXXXXX (under review)
• 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

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