I am a PhD student in Computer Science (Systems group) at University of Rochester, advised by Prof. Chen Ding. My research focuses in-memory cache management, stochastic workload modeling, and locality in natual languages and large language models (LLMs).

Before I came to UR, I was a music composer working on algorithmic composition and interactive sound arts. Some of my works can be found via links on this page. Prior to joining the Systems group, I also did research in MIR (Music Information Retrieval) at AIR Lab.

CV: View PDF

Publications

Yiyang Wang, Chen Ding, Leo Sciortino, and Linlin Chen. Continuous-Time Modeling of Zipfian Workload Locality. ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), December 2025.

Yiyang Wang, Chen Ding, and Hangfeng He. 2026. Ranking Human and LLM Texts Using Locality Statistics. In Findings of the Association for Computational Linguistics: EACL 2026, pages 5337–5348, Rabat, Morocco. Association for Computational Linguistics.

Sound-Playing Stuff

AI Jazz Co-improviser Jamming with AI with your instrument of choice. Needs mic access on the web browser.

Mind Your Step Group improvisation / sound installation with handphones (most interesting on smartphone and with a group of people playing together).

And please appreciate a picture of Eugene (named after a Belgian virtuoso violinist, perhaps)