---
title: "Sai Qian Zhang — author profile and papers — Elamur Research"
description: "Sai Qian Zhang: 2 papers on Elamur Research (2024–2026), h-index 3 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/sai-qian-zhang/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/sai-qian-zhang/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Sai Qian Zhang

# Sai Qian Zhang

Sai Qian Zhang has 2 papers in our library, in 2024–2026, most of them on [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Chao Gao](https://md.research.elamur.ai/free/en/authors/chao-gao/), [Heqing Huang](https://md.research.elamur.ai/free/en/authors/heqing-huang/).

2 papers in our library · 2024–2026

[OpenAlex](https://openalex.org/A5087914692) · [**h-index 3**](https://openalex.org/authors/A5087914692) · [5 works](https://openalex.org/works?filter=author.id:A5087914692) · [26 citations](https://openalex.org/works?filter=author.id:A5087914692&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/sai-qian-zhang/#papers) · [🔗 Cited 145 times in our library](https://md.research.elamur.ai/free/en/authors/sai-qian-zhang/cited-by/) · [⭐ Paper Stars ranking: #5362](https://md.research.elamur.ai/free/en/paper-stars/page/54/#star-5362)

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=Sai+Qian+Zhang) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Sai+Qian+Zhang) · [dblp](https://dblp.org/search?q=Sai+Qian+Zhang) · [ACL Anthology](https://aclanthology.org/search/?q=Sai+Qian+Zhang)

## Affiliations

[🎓**Brunel University of London** London · United Kingdom 1993–2009 · 3 papers](https://ror.org/00dn4t376)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

## Fields, topics and concepts

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

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Electrical and Electronic Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/electrical-and-electronic-engineering/) · [Engineering · 1 work](https://md.research.elamur.ai/free/en/shelves/engineering/)

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

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/sai-qian-zhang/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/sai-qian-zhang/year/2024/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey](https://md.research.elamur.ai/free/en/papers/han-2024-parameter-efficient-fine-tuning-large/)** *(2024 · 240 citations)* Updating every weight of a model with billions of parameters costs more than most hardware can handle. This survey covers parameter-efficient fine-tuning (PEFT), where the pre-trained backbone stays mostly frozen and only a small set of parameters is trained for a new task. The authors first walk through how a…
2. **[LARA: LLM-based Agile Power Distribution Network Restoration from Disastrous Events](https://md.research.elamur.ai/free/en/papers/warrier-2026-lara-llm-based-agile-power/)** *(2026)* LARA tackles power distribution network restoration after disasters. Repair crews (RCs), mobile power sources (MPSs) and switch actions must be coordinated over many time steps under strict safety limits. Exact MILP produces strong plans but slows down sharply on bigger feeders. CTDE multi-agent RL needs separate…

## Co-authors here

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

- [Chao Gao](https://md.research.elamur.ai/free/en/authors/chao-gao/)
- [Heqing Huang](https://md.research.elamur.ai/free/en/authors/heqing-huang/)

## Venues

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

- [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 145 times (of the 149,439 papers whose bibliographies we read); [23 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/sai-qian-zhang/cited-by/).

Updated 1 November 2026
