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About Me
Hi, I'm Yang. I received my B.Eng. degree in 2025, and am now working towards a doctoral degree at Wuhan University, China. My interests include image processing, optimization, and a wide range of topics in machine learning.
Currently, I'm exploring the design of efficient neural structures with minimal parameter usage and computational overhead. A representative work of mine is KGN, a family of network architectures generated by a set of recursive algebraic rules. These structures were found to be parameter-efficient on image/sequence classification tasks. This work is published as a conference paper at ICML 2026.
I also enjoy building practical tools and systems, from embedded devices to automatic workflows. This website serves as a platform where I can share my thoughts and latest updates with others.
Links. Feel free to reach out if you'd like to discuss!
| Personal |  | Work |  | GMail | |
| Professional |  | GitHub |  | ORCID |  | Scholar |