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Author

Liyan Fang

Papers that credit Liyan Fang in their source bylines. Matching names may refer to different researchers.

1 results

PaperSearch & Data
TransX separates recommendation scaling from serving
TransX separates reusable history processing from candidate scoring; tested larger models did not systematically need finer memory.
Added to Chiosa Oct 16, 2026
#data-engineering #inference-memory #feature-reuse

Liyan Fang

TransX separates recommendation scaling from serving