---
title: "Ke Cheng · Xidian University — author profile and papers"
description: "Ke Cheng, Xidian University: 2 papers on Elamur Research (2026), h-index 13 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/ke-cheng/"
---
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# Ke Cheng

Ke Cheng has 2 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/), [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/), [Guo Tang](https://md.research.elamur.ai/free/en/authors/guo-tang/).

2 papers in our library · 2026

[OpenAlex](https://openalex.org/A5054135894) · [ORCID](https://orcid.org/0000-0001-7948-819X) · [**h-index 13**](https://openalex.org/authors/A5054135894) · [49 works](https://openalex.org/works?filter=author.id:A5054135894) · [768 citations](https://openalex.org/works?filter=author.id:A5054135894&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/ke-cheng/#papers) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #13707](https://md.research.elamur.ai/free/en/paper-stars/page/138/#star-13707)

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

## Affiliations

[🎓**Xidian University** Xi'an · China 2017–2026 · 43 papers*current*](https://md.research.elamur.ai/free/en/universities/xidian-university/) · [🎓**Xi’an University of Posts and Telecommunications** Xi'an · China 2024 · 2 papers](https://ror.org/04jn0td46) · [🎓**Anhui University** Hefei · China 2016–2017 · 2 papers](https://md.research.elamur.ai/free/en/universities/anhui-university/)

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 7 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/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Sociology and Political Science · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/sociology-and-political-science/)

🧭 Topics 3 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [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/ke-cheng/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[DP³: Differentially Private Prompt Perturbation for Multi-turn LLM Inference](https://md.research.elamur.ai/free/en/papers/zheng-2026-dp-3-differentially-private-prompt/)** *(2026)* Prompts sent to black-box LLM APIs can expose sensitive data. A common defence is client-side perturbation under local differential privacy (ε-LDP). Existing token-substitution schemes such as SANTEXT, CUSTEXT, InferDPT and CAPE handle each query in isolation, and this fails in conversations. Tokens that reappear…
2. **[From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2026-implicit-graph-encoding-explicit-evidence/)** *(2026)* Forecasting future facts in Temporal Knowledge Graphs (TKGs) is difficult for parametric models. They degrade under distribution shift and cannot handle unseen entities or relations without retraining. Existing LLM-based alternatives have their own problems: some flatten graphs into long text and lose information…

## All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. **[Secure k-NN Query on Encrypted Cloud Data with Multiple Keys ↗](https://doi.org/10.1109/tbdata.2017.2707552) IEEE Transactions on Big Data · no summary yet**Ke Cheng et al.*2017 · 65 citations*
2. **[DP³: Differentially Private Prompt Perturbation for Multi-turn LLM Inference](https://md.research.elamur.ai/free/en/papers/zheng-2026-dp-3-differentially-private-prompt/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Lele Zheng, Chao Zhang, Feiyang Yuan, et al.*2026*
3. **[From Implicit Graph Encoding to Explicit Evidence: A Training-Free LLM Framework for Temporal Knowledge Graph Reasoning](https://md.research.elamur.ai/free/en/papers/tang-2026-implicit-graph-encoding-explicit-evidence/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Guo Tang, Ke Cheng, Huiming Fan, et al.*2026*

## Co-authors here

6 co-authors with a page, the most papers together first.

- [Bing Qin](https://md.research.elamur.ai/free/en/authors/bing-qin/)
- [Chao Zhang](https://md.research.elamur.ai/free/en/authors/chao-zhang/)
- [Guo Tang](https://md.research.elamur.ai/free/en/authors/guo-tang/)
- [Ming Liu](https://md.research.elamur.ai/free/en/authors/ming-liu/)
- [Tao Zhang](https://md.research.elamur.ai/free/en/authors/tao-zhang/)
- [Wenxiang Zheng](https://md.research.elamur.ai/free/en/authors/wenxiang-zheng/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- IEEE Transactions on Big Data

Updated 2 November 2026
