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Han Zheng

Han Zheng has 2 papers in our library, in 2026, most of them on Language models & pretraining, Bias, fairness & safety; often with Fenglu Hong, Hui Xue, Jialing Tao.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 11 · 39 works · 686 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 11 times in our library · ⭐ Paper Stars ranking: #11887

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

🎓Hechi UniversityYishan · China2025–2026 · 2 paperscurrent🎓Xi'an Jiaotong UniversityXi'an · China2025–2026 · 2 paperscurrent🎓Xiamen UniversityXiamen · China2017–2018 · 5 papers🎓University of Science and Technology BeijingBeijing · China2021–2023 · 3 papers🎓North China University of TechnologyBeijing · China2025 · 2 papers🎓Massachusetts Institute of TechnologyCambridge · United States2024 · 2 papers🎓Nanjing University of Science and TechnologyNanjing · China2024 · 2 papers🏢TencentShenzhen · China2020 · 2 papers🎓Case Western Reserve UniversityCleveland · United States2017–2018 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 11 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.

📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksComputer Science · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. CORAL: Towards Autonomous Multi-Agent Evolution for Open-Ended Discovery (2026 · 9 citations)
    LLM-driven evolutionary systems such as FunSearch and AlphaEvolve search for better programs on problems where the optimum is unknown.
  2. Safe-SAIL: Towards a Fine-grained Safety Landscape of Large Language Models via Sparse Autoencoder Interpretation Framework (2026 · 2 citations)
    Sparse autoencoders (SAEs) can split a model's tangled activations into interpretable features. However, safety concepts are rare in typical data, and it is unclear which SAE setups produce fine-grained safety features. Explaining every feature is also expensive. Safe-SAIL is a three-stage pipeline (SAE training…

 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 11 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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