---
title: "Dexian Cai — author profile and papers · Vision & language"
description: "Dexian Cai, Shanghai Artificial Intelligence Laboratory: 2 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/dexian-cai/"
---
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# Dexian Cai

Dexian Cai has 2 papers in our library, in 2026, most of them on [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/), [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/), [Xiaocui Yang](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139833847) · [**h-index 0**](https://openalex.org/authors/A5139833847) · [6 works](https://openalex.org/works?filter=author.id:A5139833847) · [0 citations](https://openalex.org/works?filter=author.id:A5139833847&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/dexian-cai/#papers) · 🔗 Cited 1 time in our library · [⭐ Paper Stars ranking: #13752](https://md.research.elamur.ai/free/en/paper-stars/page/138/#star-13752)

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

## Affiliations

[🎓**Northeastern University** Shenyang · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/) · [🔬**Shanghai Artificial Intelligence Laboratory** Shanghai · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/labs/shanghai-artificial-intelligence-laboratory/)

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).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Artificial Intelligence · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/)

🧭 Topics 3 Research subjects and languages the work is about.[Vision & language · 2 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

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

## Papers

The most cited first (OpenAlex and our library).

1. **[MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis](https://md.research.elamur.ai/free/en/papers/xu-2026-molan-unified-modality-aware-noise/)** *(2026 · 1 citation)* Multimodal sentiment analysis (MSA) models often get misled by irrelevant visual or acoustic signals, such as background laughter that contradicts a speaker's mood.
2. **[RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning](https://md.research.elamur.ai/free/en/papers/xu-2026-ration-entropy-driven-task-adaptive/)** *(2026)* Multimodal LLMs often fail on visually demanding questions because they spread visual attention badly. In counting, attention can lock onto a few spots and miss objects. In OCR, it can drift over irrelevant regions instead of the text. The authors argue that earlier fixes, such as better alignment, chain-of-thought…

## Co-authors here

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

- [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/) ×2
- [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) ×2
- [Xiaocui Yang](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/) ×2
- [Xingle Xu](https://md.research.elamur.ai/free/en/authors/xingle-xu/) ×2
- [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/) ×2
- [Fanheng Kong](https://md.research.elamur.ai/free/en/authors/fanheng-kong/)
- [YongKang Liu](https://md.research.elamur.ai/free/en/authors/yongkang-liu/)

## 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/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2

## Cited by

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

Updated 2 November 2026
