--- title: "Jiawei Cao — author profile and papers — Elamur Research" description: "Jiawei Cao, Liaoning Shihua University: 2 papers on Elamur Research (2025–2026), h-index 7 — affiliations, topics, co-authors and who cites…" canonical: "https://research.elamur.ai/free/en/authors/jiawei-cao/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jiawei-cao/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jiawei Cao # Jiawei Cao Jiawei Cao has 2 papers in our library, in 2025–2026; often with [Xiaofeng Zhang](https://md.research.elamur.ai/free/en/authors/xiaofeng-zhang/), [Xiaosong Yuan](https://md.research.elamur.ai/free/en/authors/xiaosong-yuan/), [Chaochen Gu](https://md.research.elamur.ai/free/en/authors/chaochen-gu/). 2 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5101841674) · [ORCID](https://orcid.org/0000-0001-6396-4382) · [**h-index 7**](https://openalex.org/authors/A5101841674) · [26 works](https://openalex.org/works?filter=author.id:A5101841674) · [225 citations](https://openalex.org/works?filter=author.id:A5101841674&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jiawei-cao/#papers) · [🔗 Cited 9 times in our library](https://md.research.elamur.ai/free/en/authors/jiawei-cao/cited-by/) · [⭐ Paper Stars ranking: #10770](https://md.research.elamur.ai/free/en/paper-stars/page/108/#star-10770) 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=Jiawei+Cao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jiawei+Cao) · [dblp](https://dblp.org/search?q=Jiawei+Cao) · [ACL Anthology](https://aclanthology.org/search/?q=Jiawei+Cao) ## Affiliations [🎓**Nanjing University of Posts and Telecommunications** Nanjing · China 2025–2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university-of-posts-and-telecommunications/) · [🎓**Liaoning Shihua University** Fushun · China 2026 · 2 papers*current*](https://ror.org/00k6c4h29) · [🎓**Yancheng Institute of Technology** Yancheng · China 2026 · 1 paper*current*](https://ror.org/04y8njc86) · [🎓**Tsinghua University** Beijing · China 2006–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/tsinghua-university/) · [🎓**Harbin Institute of Technology** Harbin · China 2024–2025 · 2 papers](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-technology/) · [🎓**Xi'an Jiaotong University** Xi'an · China 2007–2021 · 2 papers](https://md.research.elamur.ai/free/en/universities/xi-an-jiaotong-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 8 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 2 The field of science this work belongs to (OpenAlex fields).[Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) ## Works by year ### 2020s [**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/jiawei-cao/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/jiawei-cao/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs](https://md.research.elamur.ai/free/en/papers/zhang-2025-shallow-focus-deep-fixes-enhancing/)** *(2025 · 14 citations)* The paper investigates why large vision-language models (LVLMs) hallucinate, focusing on attention over image tokens, which make up most of the input. 2. **[TokenPenalty: Alleviating Attention Sinks and Positional Decay in LVLMs](https://md.research.elamur.ai/free/en/papers/zhang-2026-tokenpenalty-alleviating-attention-sinks-positional/)** *(2026)* Large vision-language models (LVLMs) often mention objects that are not in the image. This undermines trust in uses such as captioning and product descriptions. The authors link part of this to two effects. First, attention collapses onto a few visual "sink" tokens with extreme query/key activations. Second, RoPE… ## Co-authors here 9 co-authors with a page, the most papers together first. - [Xiaofeng Zhang](https://md.research.elamur.ai/free/en/authors/xiaofeng-zhang/) ×2 - [Xiaosong Yuan](https://md.research.elamur.ai/free/en/authors/xiaosong-yuan/) ×2 - [Chaochen Gu](https://md.research.elamur.ai/free/en/authors/chaochen-gu/) - [Chen Shen](https://md.research.elamur.ai/free/en/authors/chen-shen/) - [Hao Cheng](https://md.research.elamur.ai/free/en/authors/hao-cheng/) - [Jieping Ye](https://md.research.elamur.ai/free/en/authors/jieping-ye/) - [Qiyan Zhao](https://md.research.elamur.ai/free/en/authors/qiyan-zhao/) - [Shaotian Yan](https://md.research.elamur.ai/free/en/authors/shaotian-yan/) - [Yihao Quan](https://md.research.elamur.ai/free/en/authors/yihao-quan/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [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/) ## Cited by Papers of our library cite their works 9 times (of the 149,439 papers whose bibliographies we read); [9 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jiawei-cao/cited-by/). Updated 2 November 2026