Biography
I am Yicheng Feng. I am currently a Ph.D. candidate at The Chinese University of Hong Kong (CUHK).
My current research focus is on machine learning systems, especially on scalable simulation of LLM's (next-generation) inference and training (including pretraining and RLHF). I am also interested in cloud-native technologies.
News
- [Aug. 2025] Frontier accepted to PACMI'25 (workshop, co-located with SOSP'25). This is the early stage version of our next-generation inference simulator. Looking forward to it!
- [Dec. 2024] Released Echo preprint on arXiv for scalable and efficient training simulator.
Code available at Github (keep updating).
- [Dec. 2024] BREAK accepted to INFOCOM'24 (extended from APNet'23).