---
title: "Shangguang Wang — author profile and papers in our library"
description: "Shangguang Wang, Beijing University of Posts and Telecommunications: 2 papers on Elamur Research (2026), h-index 0 — affiliations…"
canonical: "https://research.elamur.ai/free/en/authors/shangguang-wang/"
---
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# Shangguang Wang

Shangguang Wang has 2 papers in our library, in 2026, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Tao Qi](https://md.research.elamur.ai/free/en/authors/tao-qi/), [Jiajun Liu](https://md.research.elamur.ai/free/en/authors/jiajun-liu/), [Yongfeng Huang](https://md.research.elamur.ai/free/en/authors/yongfeng-huang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139746754) · [**h-index 0**](https://openalex.org/authors/A5139746754) · [3 works](https://openalex.org/works?filter=author.id:A5139746754) · [0 citations](https://openalex.org/works?filter=author.id:A5139746754&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/shangguang-wang/#papers) · [⭐ Paper Stars ranking: #13900](https://md.research.elamur.ai/free/en/paper-stars/page/139/#star-13900)

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

## Affiliations

[🎓**Beijing University of Posts and Telecommunications** Beijing · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/beijing-university-of-posts-and-telecommunications/)

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

## 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).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [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/)

🧭 Topics 3 Research subjects and languages the work is about.[Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[Black-Box Membership Inference Attacks for Video Training Data in Multimodal Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-black-box-membership-inference-attacks/)** *(2026)* The paper tackles a practical question: can one tell whether a particular video was used to train a multimodal large language model (MLLM) when only the model's text output is visible? Earlier video membership inference attacks (MIAs) have two weaknesses.
2. **[Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation](https://md.research.elamur.ai/free/en/papers/yang-2026-knowledge-poisoning-attacks-medical-multi/)** *(2026)* Medical multimodal RAG systems pair images such as X-rays with clinical text in a retrieval database, and injected adversarial entries can compromise them.

## Co-authors here

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

- [Tao Qi](https://md.research.elamur.ai/free/en/authors/tao-qi/) ×2
- [Jiajun Liu](https://md.research.elamur.ai/free/en/authors/jiajun-liu/)
- [Yongfeng Huang](https://md.research.elamur.ai/free/en/authors/yongfeng-huang/)

## 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/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2

Updated 2 November 2026
