Chuan Xiao

2 papers in our library · 2026

The profile is the library's match of the name; two people with one name are not always told apart.

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

Adaptive Layer Selection for Layer-Wise Token Pruning in LLM Inference (2026 · 1 citation)
Layer-wise token pruning reduces the KV cache during LLM inference. It keeps only a subset of important tokens beyond a certain Transformer layer. Existing methods such as FastKV and GemFilter fix this "selection layer" in advance, regardless of the task. A layer that suits easy QA can therefore fail badly on harder…
GRASPrune: Global Gating for Budgeted Structured Pruning of Large Language Models (2026)
Serving large language models is costly because weights, attention computation and the KV cache all consume memory and add latency.

4 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 1 time (of the 149,439 papers whose bibliographies we read).

Updated 1 November 2026