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Hengshu Zhu

Hengshu Zhu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Reasoning, Knowledge graphs & ontologies; often with Chuan Qin, Xi Chen, Chen Zhu.

3 papers in our library · 2025–2026

OpenAlex · ORCID · Wikidata · h-index 45 · 246 works · 14,012 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 75 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7096

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. 5 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. KG-Agent: An Efficient Autonomous Agent Framework for Complex Reasoning over Knowledge Graph (2025 · 78 citations)
    Large language models struggle with multi-hop, knowledge-heavy questions when they rely only on their parameters.
  2. TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery (2026 · 4 citations)
    Generalized Category Discovery (GCD) trains a classifier on a small labeled set of known classes plus a large unlabeled pool that also contains unseen classes. The model must recognize the known classes and also form the new ones. The authors identify three weaknesses in current methods:
  3. BOLT: Benchmarking Open-World Learning for Text Classification (2026 · 1 citation)
    Open-world text classification requires models to handle classes absent from training. Evaluation in this area has been fragmented. Most studies test on a few English intent datasets such as Banking and CLINC, and papers differ in how many classes are treated as known, how much data is labeled, and which metrics they…

All works

5 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. Relational Graph Neural Network with Hierarchical Attention for Knowledge Graph Completion ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetZhao Zhang et al.2020 · 198 citations
  2. Interactive Attention Transfer Network for Cross-Domain Sentiment Classification ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetKai Zhang et al.2019 · 138 citations

 Co-authors here

10 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 75 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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