---
title: "Lyu Mengsi — author profile and papers — Elamur Research"
description: "Lyu Mengsi: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/lyu-mengsi/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/lyu-mengsi/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Lyu Mengsi

# Lyu Mengsi

Lyu Mengsi has 2 papers in our library, in 2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/), [Yonghua Lin](https://md.research.elamur.ai/free/en/authors/yonghua-lin/), [Yulong Ao](https://md.research.elamur.ai/free/en/authors/yulong-ao/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5068656312) · [**h-index 1**](https://openalex.org/authors/A5068656312) · [3 works](https://openalex.org/works?filter=author.id:A5068656312) · [2 citations](https://openalex.org/works?filter=author.id:A5068656312&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/lyu-mengsi/#papers) · [🔗 Cited 11 times in our library](https://md.research.elamur.ai/free/en/authors/lyu-mengsi/cited-by/) · [⭐ Paper Stars ranking: #10928](https://md.research.elamur.ai/free/en/paper-stars/page/110/#star-10928)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Lyu+Mengsi) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Lyu+Mengsi) · [dblp](https://dblp.org/search?q=Lyu+Mengsi) · [ACL Anthology](https://aclanthology.org/search/?q=Lyu+Mengsi)

## Fields, topics and concepts

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

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 2 works](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/lyu-mengsi/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in Inference](https://md.research.elamur.ai/free/en/papers/zhang-2026-pdtrim-targeted-pruning-prefill-decode/)** *(2026 · 6 citations)* Production LLM serving often splits inference into two parts: a prefill stage that processes the prompt and builds the KV cache, and a decode stage that generates tokens.
2. **[TrimTokenator: Towards Adaptive Visual Token Pruning for Large Multimodal Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-trimtokenator-adaptive-visual-token-pruning/)** *(2026 · 6 citations)* Large multimodal models turn an image into thousands of visual tokens. Because self-attention cost grows quadratically with sequence length, these tokens make inference slow and memory-hungry. The authors first compare the two modalities through attention patterns, semantic distribution and repeated information. They…

## Co-authors here

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

- [Hao Zhang](https://md.research.elamur.ai/free/en/authors/hao-zhang/) ×2
- [Yonghua Lin](https://md.research.elamur.ai/free/en/authors/yonghua-lin/) ×2
- [Yulong Ao](https://md.research.elamur.ai/free/en/authors/yulong-ao/) ×2
- [Zhuo Chen](https://md.research.elamur.ai/free/en/authors/zhuo-chen/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

## Cited by

Papers of our library cite their works 11 times (of the 149,439 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/lyu-mengsi/cited-by/).

Updated 30 October 2026
