---
title: "Huawei Shen — author profile and papers — Elamur Research"
description: "Huawei Shen, Chinese Academy of Sciences: 5 papers on Elamur Research (2025–2026), h-index 39 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/huawei-shen/"
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# Huawei Shen

Huawei Shen has 5 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Multilingual & cross-lingual NLP](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/); often with [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/), [Fei Sun](https://md.research.elamur.ai/free/en/authors/fei-sun/), [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/).

5 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5047897879) · [ORCID](https://orcid.org/0000-0002-1081-8119) · [Wikidata](https://www.wikidata.org/wiki/Q130800688) · [**h-index 39**](https://openalex.org/authors/A5047897879) · [207 works](https://openalex.org/works?filter=author.id:A5047897879) · [7,196 citations](https://openalex.org/works?filter=author.id:A5047897879&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/huawei-shen/#papers) · [🔗 Cited 122 times in our library](https://md.research.elamur.ai/free/en/authors/huawei-shen/cited-by/) · [7 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #7876](https://md.research.elamur.ai/free/en/paper-stars/page/79/#star-7876)

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

## Affiliations

[🔬**Institute of Computing Technology** Beijing · China 2008–2026 · 172 papers*current*](https://md.research.elamur.ai/free/en/labs/institute-of-computing-technology/) · [🏛️**Chinese Academy of Sciences** Beijing · China 2008–2026 · 168 papers*current*](https://md.research.elamur.ai/free/en/government/chinese-academy-of-sciences/) · [🎓**University of Chinese Academy of Sciences** Beijing · China 2008–2025 · 70 papers](https://md.research.elamur.ai/free/en/universities/university-of-chinese-academy-of-sciences/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

## 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).[Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 4 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Multilingual & cross-lingual NLP · 1 work](https://md.research.elamur.ai/free/en/topics/multilingual-nlp/) · [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/huawei-shen/year/2026/) · [**2025** 3 papers](https://md.research.elamur.ai/free/en/authors/huawei-shen/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2025-mlake-multilingual-knowledge-editing-benchmark/)** *(2025 · 20 citations)* Most knowledge editing research updates and evaluates a model in a single language. This paper asks whether such edits hold up across languages and in multi-hop reasoning. The authors built MLaKE, a benchmark covering English, Chinese, Japanese, French and German. They extracted fact chains from Wikidata using a…
2. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/)** *(2025 · 12 citations)* LLM error detectors often treat agreement across sampled answers as a sign of correctness. This paper identifies a blind spot in that assumption: self-consistent errors , where a model gives the same wrong answer, up to semantic equivalence, in its greedy output and in all stochastic samples. The authors define these…
3. **[The Mirage of Model Editing: Revisiting Evaluation in the Wild](https://md.research.elamur.ai/free/en/papers/yang-2025-mirage-model-editing-revisiting-evaluation/)** *(2025 · 9 citations)* Published model-editing results often look nearly perfect. This paper asks whether those results hold once the evaluation reflects how an edited LLM would actually be used. The authors build QAEdit, a benchmark drawn from Natural Questions, TriviaQA and SimpleQA. GPT-4 adds the subjects and paraphrased prompts that…
4. **[The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis](https://md.research.elamur.ai/free/en/papers/wei-2026-evolution-thought-tracking-llm-overthinking/)** *(2026 · 6 citations)* Reasoning LLMs often keep generating "thinking" tokens after they already have enough information to answer, which wastes compute and is known as overthinking.
5. **[Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/wang-2026-do-we-always-need-query/)** *(2026)* LLM-based multi-agent systems coordinate their agents through workflows. These workflows are built either once per task or separately for each query. The authors ask whether per-query generation is really needed. They also ask whether task-level search must pay for a full validation run on every candidate. On DROP…

## All works

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

1. **[Beyond Low-frequency Information in Graph Convolutional Networks ↗](https://doi.org/10.1609/aaai.v35i5.16514) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Deyu Bo et al.*2021 · 557 citations*
2. **[Cross-Domain Recommendation: An Embedding and Mapping Approach ↗](https://doi.org/10.24963/ijcai.2017/343) International Joint Conference on Artificial Intelligence · no summary yet**Tong Man et al.*2017 · 447 citations*
3. **[Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning ↗](https://doi.org/10.1145/3404835.3462963) International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yet**Zixuan Li et al.*2021 · 409 citations*
4. **[Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field ↗](https://doi.org/10.1609/aaai.v35i5.16582) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Bingbing Xu et al.*2021 · 79 citations*
5. **[MLaKE: Multilingual Knowledge Editing Benchmark for Large Language Models](https://md.research.elamur.ai/free/en/papers/wei-2025-mlake-multilingual-knowledge-editing-benchmark/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Zihao Wei, Jingcheng Deng, Liang Pang, et al.*2025 · 20 citations*
6. **[Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs](https://md.research.elamur.ai/free/en/papers/tan-2025-too-consistent-detect-study-self/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hexiang Tan, Fei Sun, Sha Liu, et al.*2025 · 12 citations*
7. **[The Mirage of Model Editing: Revisiting Evaluation in the Wild](https://md.research.elamur.ai/free/en/papers/yang-2025-mirage-model-editing-revisiting-evaluation/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wanli Yang, Fei Sun, Jiajun Tan, et al.*2025 · 9 citations*
8. **[The Evolution of Thought: Tracking LLM Overthinking via Reasoning Dynamics Analysis](https://md.research.elamur.ai/free/en/papers/wei-2026-evolution-thought-tracking-llm-overthinking/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zihao Wei, Liang Pang, Jiahao Liu, et al.*2026 · 6 citations*
9. **[Do We Always Need Query-Level Workflows? Rethinking Agentic Workflow Generation for Multi-Agent Systems](https://md.research.elamur.ai/free/en/papers/wang-2026-do-we-always-need-query/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zixu Wang, Bingbing Xu, Yige Yuan, et al.*2026*
10. **[Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents ↗](https://aclanthology.org/2026.acl-long.534/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Xiucheng Xu et al.*2026*
11. **[Learning from Mistakes: Negative Reasoning Samples Enhance Out-of-Domain Generalization ↗](https://aclanthology.org/2026.acl-long.1370/) Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Tian Xueyun et al.*2026*
12. **[ROMA: Real-time Omni-Multimodal Assistant with Interactive Streaming Understanding ↗](https://aclanthology.org/2026.findings-acl.1153/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Tian Xueyun et al.*2026*

## Co-authors here

12 of 19 co-authors with a page, the most papers together first.

- [Xueqi Cheng](https://md.research.elamur.ai/free/en/authors/xueqi-cheng/) ×5
- [Fei Sun](https://md.research.elamur.ai/free/en/authors/fei-sun/) ×3
- [Jingang Wang](https://md.research.elamur.ai/free/en/authors/jingang-wang/) ×2
- [Jingcheng Deng](https://md.research.elamur.ai/free/en/authors/jingcheng-deng/) ×2
- [Liang Pang](https://md.research.elamur.ai/free/en/authors/liang-pang/) ×2
- [Qi Cao](https://md.research.elamur.ai/free/en/authors/qi-cao/) ×2
- [Zihao Wei](https://md.research.elamur.ai/free/en/authors/zihao-wei/) ×2
- [Bingbing Xu](https://md.research.elamur.ai/free/en/authors/bingbing-xu/)
- [Dawei Yin](https://md.research.elamur.ai/free/en/authors/dawei-yin/)
- [Du Su](https://md.research.elamur.ai/free/en/authors/du-su/)
- [Hexiang Tan](https://md.research.elamur.ai/free/en/authors/hexiang-tan/)
- [Jiahao Liu](https://md.research.elamur.ai/free/en/authors/jiahao-liu/)

## 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/) ×4: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)
- Proceedings of the AAAI Conference on Artificial Intelligence ×2
- [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/): [COLING 2025](https://md.research.elamur.ai/free/en/venues/coling/2025/)
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)
- [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/)
- Findings of the Association for Computational Linguistics: ACL 2026
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- International Joint Conference on Artificial Intelligence

## Cited by

Papers of our library cite their works 122 times (of the 149,439 papers whose bibliographies we read); [16 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/huawei-shen/cited-by/).

Updated 1 November 2026