🧑‍🔬 Ke Cheng

🏛️ Affiliations

🎓Xidian UniversityXi'an · China2017–2026 · 43 paperscurrent🎓Xi’an University of Posts and TelecommunicationsXi'an · China2024 · 2 papers🎓Anhui UniversityHefei · China2016–2017 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. DP³: Differentially Private Prompt Perturbation for Multi-turn LLM Inference (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 (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 ↗IEEE Transactions on Big Data · no summary yetKe Cheng et al.2017 · 65 citations
2. DP³: Differentially Private Prompt Perturbation for Multi-turn LLM InferenceFindings of the Association for Computational LinguisticsLele 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 ReasoningFindings of the Association for Computational LinguisticsGuo Tang, Ke Cheng, Huiming Fan, et al.2026

🤝 Co-authors here

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

• Bing Qin
• Chao Zhang
• Guo Tang
• Ming Liu
• Tao Zhang
• 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 ×2: Findings of the Association for Computational Linguistics 2026 ×2
• IEEE Transactions on Big Data

Updated 2 November 2026

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ke-cheng/