
Yiping Ji
Higher Degree by Research Candidate
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
My research interest lies in representation learning and how to train modern neural networks more efficiently and effectively.
Personal Page: https://yipingji.github.io/
Google Scholar: https://scholar.google.com.au/citations?user=FWbjVosAAAAJ&hl=en
-
Education
Date Institution name Country Title 2019 - 2023 Tel Aviv University Israel M.Sc (Research Degree) in Applied Mathematics 2015 - 2019 Tel Aviv University Israel B.Sc in Electrical and Electronic Engineering
-
Conference Papers
Year Citation 2025 Ji, Y., Saratchandran, H., Moghaddam, P., & Lucey, S. (2025). Always Skip Attention. 2025 Ji, Y., Saratchandran, H., Gordon, C., Zhang, Z., & Lucey, S. (2025). EFFICIENT LEARNING WITH SINE-ACTIVATED LOW-RANK MATRICES. In 13th International Conference on Learning Representations Iclr 2025 (pp. 27194-27215). OpenReview.net.
Scopus1 -
Preprint
Year Citation 2025 Gordon, C., Ji, Y., Saratchandran, H., Albert, P., & Lucey, S. (2025). Compressing Sine-Activated Low-Rank Adapters through Post-Training Quantization.. 2024 Saratchandran, H., Zheng, J., Ji, Y., Zhang, W., & Lucey, S. (2024). Rethinking Attention: Polynomial Alternatives to Softmax in Transformers.
I am TA/Tutor in several courses
COMP SCI 7327 Concepts in Artificial Intelligence and Machine Learning
COMP SCI 7317 Using Machine Learning Tools
COMP SCI 3314/7314 Statistical Machine Learning
COMP SCI 3020 Advanced Topics in Computer Science
Connect With Me