---
title: "Xiaocui Yang — author profile and papers · Vision & language"
description: "Xiaocui Yang, Northeastern University: 10 papers on Elamur Research (2026), h-index 3 — affiliations, topics, co-authors and who cites them…"
canonical: "https://research.elamur.ai/free/en/authors/xiaocui-yang/"
---
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# Xiaocui Yang

Xiaocui Yang has 10 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/), [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/); often with [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/), [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/), [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/).

10 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139815800) · [ORCID](https://orcid.org/0000-0001-5352-8579) · [Wikidata](https://www.wikidata.org/wiki/Q130842694) · [**h-index 3**](https://openalex.org/authors/A5139815800) · [25 works](https://openalex.org/works?filter=author.id:A5139815800) · [92 citations](https://openalex.org/works?filter=author.id:A5139815800&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 10 works in our library](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/#papers) · [🔗 Cited 15 times in our library](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/cited-by/) · [2 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #9168](https://md.research.elamur.ai/free/en/paper-stars/page/92/#star-9168)

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

## Affiliations

[🎓**Northeastern University** Shenyang · China 2023–2026 · 18 papers*current*](https://md.research.elamur.ai/free/en/universities/northeastern-university-cn/)

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 14 The field of science this work belongs to (OpenAlex fields).[Computer Science · 10 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 9 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 7 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Information Systems · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Psychology · 3 works](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 2 works](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Applied Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/applied-psychology/) · [Social Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/social-psychology/)

🧭 Topics 7 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 3 works](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Sentiment & emotion · 2 works](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

## Works by year

### 2020s

[**2026** 10 papers](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Nature-Inspired Population-Based Evolution of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-nature-inspired-population-based-evolution/)** *(2026 · 8 citations)* The paper frames a new problem: how to improve a whole group of large language models by treating it as an evolving population rather than tuning one model.
2. **[SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-safe-qaq-end-end-slow/)** *(2026 · 3 citations)* Most phone-scam detectors work on ASR transcripts. This means recognition errors carry through to the decision, and acoustic signals such as tone, stress or staged background noise are lost. SAFE-QAQ addresses this by running a large audio-language model (LALM) directly on raw call audio, so no transcription step is…
3. **[Why Do More Experts Fail? A Theoretical Analysis of Model Merging](https://md.research.elamur.ai/free/en/papers/wang-2026-why-do-more-experts-fail/)** *(2026 · 2 citations)* Merging several fine-tuned expert models into one multi-task model saves storage and compute. However, adding more experts stops helping quickly: state-of-the-art methods such as GENOME level off at around six merged models on most datasets. This paper asks why that ceiling exists. Using high-dimensional geometry…
4. **[DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & Inference](https://md.research.elamur.ai/free/en/papers/wang-2026-deepmed-building-medical-deepresearch-agent/)** *(2026 · 1 citation)* General-purpose DeepResearch (DR) agents, which interleave web search with reasoning, improve only modestly when moved to medicine.
5. **[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.
6. **[NEAT: Neuron-Based Early Exit for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-neat-neuron-based-early-exit/)** *(2026 · 1 citation)* Large Reasoning Models frequently keep producing reasoning after they have already reached a correct solution.
7. **[PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-plam-training-free-plateau-guided/)** *(2026 · 1 citation)* Multimodal instruction fine-tuning tends to weaken the text reasoning that MLLMs inherit from their base language models.
8. **[Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation](https://md.research.elamur.ai/free/en/papers/shangguan-2026-resource-limited-joint-multimodal-sentiment/)** *(2026 · 1 citation)* The paper tackles multimodal sentiment analysis of text-image posts when only a small model can be deployed.
9. **[CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/wei-2026-cirag-construction-integration-retrieval-adaptive/)** *(2026)* Triple-based iterative RAG for multi-hop QA has two weaknesses. It keeps only one best triple per step, so early mistakes compound and parallel evidence is lost. It also uses a single evidence granularity, which can be too noisy or too sparse depending on the question. CIRAG draws on Kintsch's…
10. **[GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing](https://md.research.elamur.ai/free/en/papers/wang-2026-genpt-beyond-self-report-reliable/)** *(2026)* Psychological profiling of persona-conditioned LLM agents (PC-Agents) usually relies on self-report questionnaires such as BFI, BDI or MBTI.

## All works

12 works of theirs in our library, the most cited first; 10 with a page here, the others link their original until we summarise them.

1. **[Nature-Inspired Population-Based Evolution of Large Language Models](https://md.research.elamur.ai/free/en/papers/zhang-2026-nature-inspired-population-based-evolution/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiqun Zhang, Peng Ye, Xiaocui Yang, et al.*2026 · 8 citations*
2. **[SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/wang-2026-safe-qaq-end-end-slow/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Peidong Wang, Zhiming Ma, Xin Dai, et al.*2026 · 3 citations*
3. **[Why Do More Experts Fail? A Theoretical Analysis of Model Merging](https://md.research.elamur.ai/free/en/papers/wang-2026-why-do-more-experts-fail/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zijing Wang, Xingle Xu, YongKang Liu, et al.*2026 · 2 citations*
4. **[DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & Inference](https://md.research.elamur.ai/free/en/papers/wang-2026-deepmed-building-medical-deepresearch-agent/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zihan Wang, Hao Wang, Shi Feng, et al.*2026 · 1 citation*
5. **[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/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xingle Xu, YongKang Liu, Dexian Cai, et al.*2026 · 1 citation*
6. **[NEAT: Neuron-Based Early Exit for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/liu-2026-neat-neuron-based-early-exit/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kang Liu, YongKang Liu, Xiaocui Yang, et al.*2026 · 1 citation*
7. **[PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-plam-training-free-plateau-guided/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zijing Wang, YongKang Liu, Mingyang Wang, et al.*2026 · 1 citation*
8. **[Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation](https://md.research.elamur.ai/free/en/papers/shangguan-2026-resource-limited-joint-multimodal-sentiment/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haonan Shangguan, Xiaocui Yang, Shi Feng, et al.*2026 · 1 citation*
9. **[CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question Answering](https://md.research.elamur.ai/free/en/papers/wei-2026-cirag-construction-integration-retrieval-adaptive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zili Wei, Yilin Wang, Xiaocui Yang, et al.*2026*
10. **[GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing](https://md.research.elamur.ai/free/en/papers/wang-2026-genpt-beyond-self-report-reliable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ming Wang, Shuang Wu, Bixuan Wang, et al.*2026*
11. **[RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning ↗](https://aclanthology.org/2026.findings-acl.1238/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Xingle Xu et al.*2026*
12. **[MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings ↗](https://aclanthology.org/2026.acl-long.2045/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yiqun Zhang et al.*2026*

## Co-authors here

12 of 29 co-authors with a page, the most papers together first.

- [Shi Feng](https://md.research.elamur.ai/free/en/authors/shi-feng/) ×10
- [Daling Wang](https://md.research.elamur.ai/free/en/authors/daling-wang/) ×9
- [Yifei Zhang](https://md.research.elamur.ai/free/en/authors/yifei-zhang/) ×6
- [YongKang Liu](https://md.research.elamur.ai/free/en/authors/yongkang-liu/) ×5
- [Yiqun Zhang](https://md.research.elamur.ai/free/en/authors/yiqun-zhang/) ×3
- [Hinrich Schuetze](https://md.research.elamur.ai/free/en/authors/hinrich-schuetze/) ×2
- [Peidong Wang](https://md.research.elamur.ai/free/en/authors/peidong-wang/) ×2
- [Xingle Xu](https://md.research.elamur.ai/free/en/authors/xingle-xu/) ×2
- [Zihan Wang](https://md.research.elamur.ai/free/en/authors/zihan-wang/) ×2
- [Zijing Wang](https://md.research.elamur.ai/free/en/authors/zijing-wang/) ×2
- [Ercong Nie](https://md.research.elamur.ai/free/en/authors/ercong-nie/)
- [Ge Yu](https://md.research.elamur.ai/free/en/authors/ge-yu/)

## 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/) ×6: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×5
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×5: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×5
- Findings of the Association for Computational Linguistics: ACL 2026

## Cited by

Papers of our library cite their works 15 times (of the 149,439 papers whose bibliographies we read); [4 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/xiaocui-yang/cited-by/).

Updated 1 November 2026