---
title: "Wei Wei — author profile and papers · Sentiment & emotion"
description: "Wei Wei, Nanjing Institute of Astronomical Optics & Technology: 4 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/wei-wei/"
---
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# Wei Wei

Wei Wei has 4 papers in our library, in 2025–2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Bairu Hou](https://md.research.elamur.ai/free/en/authors/bairu-hou/), [Daizong Liu](https://md.research.elamur.ai/free/en/authors/daizong-liu/), [Dongrui Liu](https://md.research.elamur.ai/free/en/authors/dongrui-liu/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5139733852) · [**h-index 1**](https://openalex.org/authors/A5139733852) · [4 works](https://openalex.org/works?filter=author.id:A5139733852) · [1 citations](https://openalex.org/works?filter=author.id:A5139733852&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/wei-wei/#papers) · [🔗 Cited 55 times in our library](https://md.research.elamur.ai/free/en/authors/wei-wei/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7588](https://md.research.elamur.ai/free/en/paper-stars/page/76/#star-7588)

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

## Affiliations

[🎓**Huazhong University of Science and Technology** Wuhan · China 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/huazhong-university-of-science-and-technology/) · [🔬**Nanjing Institute of Astronomical Optics & Technology** Nanjing · China *current*](https://ror.org/04sxr1261)

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 8 The field of science this work belongs to (OpenAlex fields).[Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [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.[Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/wei-wei/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/wei-wei/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond](https://md.research.elamur.ai/free/en/papers/qu-2025-survey-efficient-reasoning-large-reasoning/)** *(2025 · 55 citations)* Large Reasoning Models (LRMs) such as DeepSeek-R1, OpenAI o1/o3 and QwQ gain accuracy by writing long chain-of-thought (CoT) traces before answering.
2. **[WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks](https://md.research.elamur.ai/free/en/papers/yang-2026-webdart-dynamic-decomposition-re-planning/)** *(2026 · 2 citations)* LLM-based web agents handle short tasks like opening a page or filling a form. They break down on "chores" that combine long multi-page browsing, collecting many data points and reasoning over constraints. For example, a GPT-4o agent scores 8.0% on WebChoreArena but 46.6% on WebArena. The authors attribute this to…
3. **[DEAR: Distributional Error-Aware Reliability for Robust Multimodal Sentiment Analysis with Missing Modalities](https://md.research.elamur.ai/free/en/papers/zou-2026-dear-distributional-error-aware-reliability/)** *(2026 · 1 citation)* Multimodal sentiment analysis (MSA) systems are usually trained on complete text, audio and video, but in deployment some modalities are often partly or fully absent, and accuracy drops sharply.
4. **[FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-fusionflow-enabling-deep-structural-exploration/)** *(2026)* Automated generators of agentic workflows, such as ADAS and AFlow, usually improve one evolving workflow through small local edits or tree search.

## All works

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

1. [**A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond arXiv:2503.21614**Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.*2025 · 55 citations*](https://md.research.elamur.ai/free/en/papers/qu-2025-survey-efficient-reasoning-large-reasoning/)
2. **[WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks](https://md.research.elamur.ai/free/en/papers/yang-2026-webdart-dynamic-decomposition-re-planning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jingbo Yang, Bairu Hou, Wei Wei, et al.*2026 · 2 citations*
3. **[DEAR: Distributional Error-Aware Reliability for Robust Multimodal Sentiment Analysis with Missing Modalities](https://md.research.elamur.ai/free/en/papers/zou-2026-dear-distributional-error-aware-reliability/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Shihao Zou, Wei Wei, Yongshuo Zhang*2026 · 1 citation*
4. **[FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation](https://md.research.elamur.ai/free/en/papers/wang-2026-fusionflow-enabling-deep-structural-exploration/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.*2026*
5. **[SMART: Semantic Header Flattening and Pseudo-Code-Style Reasoning for LLM-based Complex Table Question Answering ↗](https://aclanthology.org/2026.findings-acl.1474/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Yongshuo Zhang et al.*2026*

## Co-authors here

12 of 13 co-authors with a page, the most papers together first.

- [Bairu Hou](https://md.research.elamur.ai/free/en/authors/bairu-hou/)
- [Daizong Liu](https://md.research.elamur.ai/free/en/authors/daizong-liu/)
- [Dongrui Liu](https://md.research.elamur.ai/free/en/authors/dongrui-liu/)
- [Ganqu Cui](https://md.research.elamur.ai/free/en/authors/ganqu-cui/)
- [Junxian He](https://md.research.elamur.ai/free/en/authors/junxian-he/)
- [Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/)
- [Shiyu Chang](https://md.research.elamur.ai/free/en/authors/shiyu-chang/)
- [Shuhao Zhang](https://md.research.elamur.ai/free/en/authors/shuhao-zhang/)
- [Weigao Sun](https://md.research.elamur.ai/free/en/authors/weigao-sun/)
- [Xiang Wang](https://md.research.elamur.ai/free/en/authors/xiang-wang/)
- [Xiaoye Qu](https://md.research.elamur.ai/free/en/authors/xiaoye-qu/)
- [Yafu Li](https://md.research.elamur.ai/free/en/authors/yafu-li/)

## 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
- [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: ACL 2026

## Cited by

Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); [20 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/wei-wei/cited-by/).

Updated 1 November 2026
