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Wenjie Zhang

Wenjie Zhang has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning, Knowledge graphs & ontologies; often with Chunyu Kit, Imran Razzak, Kai Wang.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 59 · 636 works · 12,894 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 36 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7320

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 119 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Paths-over-Graph: Knowledge Graph Empowered Large Language Model Reasoning (2024 · 80 citations)
    LLMs often hallucinate or lack facts when questions need several reasoning steps. Existing KG-augmented methods such as ToG and MindMap struggle with three things: multi-hop chains, questions that mention several entities, and the structure of the graph itself. The authors propose Paths-over-Graph (PoG), a…
  2. DARWIN Series: Domain Specific Large Language Models for Natural Science (2023 · 55 citations)
    General-purpose instruction-tuned LLMs perform poorly on natural science. Fine-tuned GPT models are closed and must be adapted on OpenAI's paid servers. Open alternatives are usually tuned on instructions written by GPT-3.5/GPT-4, which can reduce factual accuracy. The authors address this with DARWIN, a family of…
  3. Agent-based Substructure Counting under Local Differential Privacy (2026 · 1 citation)
    The paper addresses how to count small graph patterns such as triangles and k-stars with LLMs without exposing private edge information, for example contacts between patients.

All works

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

  1. Finding Critical Users for Social Network Engagement: The Collapsed k-Core Problem ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetFan Zhang et al.2017 · 95 citations
  2. Paths-over-Graph: Knowledge Graph Empowered Large Language Model ReasoningarXiv:2410.14211Xingyu Tan, Xiaoyang Wang, Qing Liu, et al.2024 · 80 citations
  3. DARWIN Series: Domain Specific Large Language Models for Natural SciencearXiv:2308.13565Tong Xie, Yuwei Wan, Wei Huang, et al.2023 · 55 citations

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 36 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

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