Mr Yiping Ji
Higher Degree by Research Candidate
School of Computer Science and Information Technology
College of Engineering and Information Technology
I am a 3rd year PhD Student majoring in Computer Science and Mathematics.
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
LinkedIn: https://www.linkedin.com/in/yiping-ji-111b97142/
Email: yiping.ji@adelaide.edu.au
| 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 |
| 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. Scopus2 |
| 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
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