--- title: "Wei Cheng — author profile and papers · Summarization" description: "Wei Cheng, Zhejiang Normal University: 5 papers on Elamur Research (2023–2026), h-index 24 — affiliations, topics, co-authors and who…" canonical: "https://research.elamur.ai/free/en/authors/wei-cheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/wei-cheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Wei Cheng # Wei Cheng Wei Cheng has 5 papers in our library, in 2023–2026, most of them on [Summarization](https://md.research.elamur.ai/free/en/topics/summarization/), [Evaluation & benchmarks](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Haifeng Chen](https://md.research.elamur.ai/free/en/authors/haifeng-chen/), [Bingning Wang](https://md.research.elamur.ai/free/en/authors/bingning-wang/), [Chunrui Han](https://md.research.elamur.ai/free/en/authors/chunrui-han/). 5 papers in our library · 2023–2026 [OpenAlex](https://openalex.org/A5037724644) · [ORCID](https://orcid.org/0000-0001-5456-626X) · [Wikidata](https://www.wikidata.org/wiki/Q89557960) · [**h-index 24**](https://openalex.org/authors/A5037724644) · [137 works](https://openalex.org/works?filter=author.id:A5037724644) · [3,443 citations](https://openalex.org/works?filter=author.id:A5037724644&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 5 works in our library](https://md.research.elamur.ai/free/en/authors/wei-cheng/#papers) · [🔗 Cited 109 times in our library](https://md.research.elamur.ai/free/en/authors/wei-cheng/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5728](https://md.research.elamur.ai/free/en/paper-stars/page/58/#star-5728) 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+Cheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Wei+Cheng) · [dblp](https://dblp.org/search?q=Wei+Cheng) · [ACL Anthology](https://aclanthology.org/search/?q=Wei+Cheng) ## Affiliations [🏢**NEC** Irving · United States 2016–2025 · 41 papers*current*](https://md.research.elamur.ai/free/en/companies/nec/) · [🔬**Frontiers Center for Brain Science of the Ministry of Education** Shanghai · China 2025 · 1 paper*current*](https://ror.org/05n8v1c41) · [🎓**Fudan University** Shanghai · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/fudan-university/) · [🏥**Huashan Hospital** Shanghai · China 2025 · 1 paper*current*](https://ror.org/05201qm87) · [🎓**Jiangsu Shipping College** Nantong · China 2025 · 1 paper*current*](https://ror.org/04zss1842) · [🎓**Zhejiang Normal University** Jinhua · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-normal-university/) · [🎓**Zhejiang University of Technology** Hangzhou · China 2025 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/zhejiang-university-of-technology/) · [🎓**University of North Carolina at Chapel Hill** Chapel Hill · United States 2010–2024 · 13 papersEducation 2010–2015](https://md.research.elamur.ai/free/en/universities/university-of-north-carolina-at-chapel-hill/) · [🎓**University of Science and Technology of China** Hefei · China 2001–2024 · 7 papers](https://md.research.elamur.ai/free/en/universities/university-of-science-and-technology-of-china/) · [🎓**Yangzhou University** Yangzhou · China 2023–2024 · 3 papers](https://md.research.elamur.ai/free/en/universities/yangzhou-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 27 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 10 The field of science this work belongs to (OpenAlex fields).[Computer Science · 5 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Medicine · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/) · [Health Informatics · 1 work](https://md.research.elamur.ai/free/en/shelves/medicine/health-informatics/) · [Developmental and Educational Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/developmental-and-educational-psychology/) · [Human-Computer Interaction · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/human-computer-interaction/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) 🧭 Topics 3 Research subjects and languages the work is about.[Summarization · 1 work](https://md.research.elamur.ai/free/en/topics/summarization/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/wei-cheng/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/wei-cheng/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/wei-cheng/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization](https://md.research.elamur.ai/free/en/papers/yang-2023-exploring-limits-chatgpt-query-aspect/)** *(2023 · 141 citations)* Earlier work on large language models for summarization mostly examined generic news summaries. This paper asks how ChatGPT performs in the harder, user-driven setting where a summary must answer a specific query or cover a given aspect. The authors tested it on four public benchmarks from different domains: QMSum… 2. **[Baichuan-M1: Pushing the Medical Capability of Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-baichuan-m1-pushing-medical/)** *(2025 · 24 citations)* General-purpose LLMs often lack depth in medicine, where knowledge is specialized and good training data is scarce. 3. **[Step1X-Edit: A Practical Framework for General Image Editing](https://md.research.elamur.ai/free/en/papers/liu-2025-step1x-edit-practical-framework/)** *(2025 · 23 citations)* Proprietary systems such as GPT-4o, Gemini2 Flash and Doubao now handle natural-language image editing very well. 4. **[Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/sun-2026-stop-when-enough-adaptive-early/)** *(2026 · 7 citations)* Reasoning LLMs often keep producing chain-of-thought steps long after the answer is effectively settled. This "overthinking" wastes compute and can even push the model toward a wrong answer. The authors present REFRAIN, a framework that needs no training and decides at inference time when to cut reasoning short. It… 5. **[Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards](https://md.research.elamur.ai/free/en/papers/ni-2026-sign-language-datasets-scale-comprehensive/)** *(2026)* Automatic sign-language recognition (SLR), translation (SLT) and production (SLP) are limited less by modelling and more by data. ## All works 6 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. **[A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data ↗](https://doi.org/10.1609/aaai.v33i01.33011409) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Chuxu Zhang et al.*2019 · 858 citations* 2. [**Exploring the Limits of ChatGPT for Query or Aspect-based Text Summarization arXiv:2302.08081**Xianjun Yang, Yan Li, Xinlu Zhang, et al.*2023 · 141 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-exploring-limits-chatgpt-query-aspect/) 3. [**Baichuan-M1: Pushing the Medical Capability of Large Language Models arXiv:2502.12671**Bingning Wang, Haizhou Zhao, Huozhi Zhou, et al.*2025 · 24 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-baichuan-m1-pushing-medical/) 4. [**Step1X-Edit: A Practical Framework for General Image Editing arXiv:2504.17761**Shiyu Liu, Yucheng Han, Peng Xing, et al.*2025 · 23 citations*](https://md.research.elamur.ai/free/en/papers/liu-2025-step1x-edit-practical-framework/) 5. **[Stop When Enough: Adaptive Early-Stopping for Chain-of-Thought Reasoning](https://md.research.elamur.ai/free/en/papers/sun-2026-stop-when-enough-adaptive-early/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Renliang Sun, Wei Cheng, Dawei Li, et al.*2026 · 7 citations* 6. **[Sign-Language Datasets at Scale: A Comprehensive Survey on Resources, Benchmarks, and Annotation Standards](https://md.research.elamur.ai/free/en/papers/ni-2026-sign-language-datasets-scale-comprehensive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yiming Ni, Zhi-Qi Cheng, Jiayu Li, et al.*2026* ## Co-authors here 12 of 16 co-authors with a page, the most papers together first. - [Haifeng Chen](https://md.research.elamur.ai/free/en/authors/haifeng-chen/) ×2 - [Bingning Wang](https://md.research.elamur.ai/free/en/authors/bingning-wang/) - [Chunrui Han](https://md.research.elamur.ai/free/en/authors/chunrui-han/) - [Da Pan](https://md.research.elamur.ai/free/en/authors/da-pan/) - [Dawei Li](https://md.research.elamur.ai/free/en/authors/dawei-li/) - [Jiayu Li](https://md.research.elamur.ai/free/en/authors/jiayu-li/) - [Mingyu Xu](https://md.research.elamur.ai/free/en/authors/mingyu-xu/) - [Peng Xing](https://md.research.elamur.ai/free/en/authors/peng-xing/) - [Renliang Sun](https://md.research.elamur.ai/free/en/authors/renliang-sun/) - [Rui Wang](https://md.research.elamur.ai/free/en/authors/rui-wang/) - [Wei Wang](https://md.research.elamur.ai/free/en/authors/wei-wang/) - [Xiangrong Zeng](https://md.research.elamur.ai/free/en/authors/xiangrong-zeng/) ## 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 - Proceedings of the AAAI Conference on Artificial Intelligence ## Cited by Papers of our library cite their works 109 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-cheng/cited-by/). Updated 1 November 2026