--- title: "Tao Zheng — author profile and papers — Elamur Research" description: "Tao Zheng, Ant Group: 2 papers on Elamur Research (2026), h-index 1 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/tao-zheng/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/tao-zheng/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Tao Zheng # Tao Zheng Tao Zheng has 2 papers in our library, in 2026, most of them on [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Qianzi Hou](https://md.research.elamur.ai/free/en/authors/qianzi-hou/), [Qizhuo Xie](https://md.research.elamur.ai/free/en/authors/qizhuo-xie/), [Tieke He](https://md.research.elamur.ai/free/en/authors/tieke-he/). 2 papers in our library · 2026 [OpenAlex](https://openalex.org/A5125550272) · [ORCID](https://orcid.org/0009-0001-3736-4604) · [**h-index 1**](https://openalex.org/authors/A5125550272) · [5 works](https://openalex.org/works?filter=author.id:A5125550272) · [2 citations](https://openalex.org/works?filter=author.id:A5125550272&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/tao-zheng/#papers) · [⭐ Paper Stars ranking: #13938](https://md.research.elamur.ai/free/en/paper-stars/page/140/#star-13938) 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=Tao+Zheng) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Tao+Zheng) · [dblp](https://dblp.org/search?q=Tao+Zheng) · [ACL Anthology](https://aclanthology.org/search/?q=Tao+Zheng) ## Affiliations [🎓**Nanjing University** Nanjing · China 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/nanjing-university/) · [🏢**Ant Group** Hangzhou · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/companies/ant-group/) 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 5 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 2 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/tao-zheng/year/2026/) ## Papers The most cited first (OpenAlex and our library). 1. **[CoDA: Restoring Contextual Dominance via Copy-Encouraged Attention Intervention for Mitigating RAG Hallucinations](https://md.research.elamur.ai/free/en/papers/shi-2026-coda-restoring-contextual-dominance-copy/)** *(2026)* The paper examines a specific RAG failure: the retrieved passage contains correct and sufficient evidence, yet the model still answers from its parametric memory. The authors treat this as a routing problem in the residual stream. Building on the ReDeEP decomposition, they measure two quantities per layer: 2. **[GS-Quant: Granular Semantic and Generative Structural Quantization for Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/xie-2026-gs-quant-granular-semantic-generative/)** *(2026)* Knowledge graph completion (KGC) with LLMs faces a mismatch: graph embeddings are dense continuous vectors, while LLMs reason over discrete token sequences. ## Co-authors here 5 co-authors with a page, the most papers together first. - [Qianzi Hou](https://md.research.elamur.ai/free/en/authors/qianzi-hou/) ×2 - [Qizhuo Xie](https://md.research.elamur.ai/free/en/authors/qizhuo-xie/) ×2 - [Tieke He](https://md.research.elamur.ai/free/en/authors/tieke-he/) ×2 - [Yunhui Liu](https://md.research.elamur.ai/free/en/authors/yunhui-liu/) - [Zhipeng Wang](https://md.research.elamur.ai/free/en/authors/zhipeng-wang/) ## 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/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) - [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/) Updated 2 November 2026