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Han Zhang

Han Zhang has 2 papers in our library, in 2019–2020, most of them on Language models & pretraining, Text generation; often with Hao Tian, Hua Wu, Yu Sun.

2 papers in our library · 2019–2020

OpenAlex · ORCID · h-index 25 · 100 works · 5,039 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 366 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #2025

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

🎓Georgia Institute of TechnologyAtlanta · United States2002–2026 · 43 paperscurrent🎓Hong Kong Baptist UniversityHong Kong · Hong Kong2025 · 4 papers🎓Carnegie Mellon UniversityPittsburgh · United States2024–2025 · 3 papers🎓Zhengzhou UniversityZhengzhou · China2024–2025 · 3 papers🏢BaiduBeijing · China2019–2020 · 3 papers🎓Harbin Engineering UniversityHarbin · China2024–2025 · 2 papers🎓Fudan UniversityShanghai · China2023 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 28 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksText generation · 1 work

 Works by year

2020s

20201 paperERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

2010s

20191 paperERNIE: Enhanced Representation through Knowledge Integration

 Papers

The most cited first (OpenAlex and our library).

  1. ERNIE: Enhanced Representation through Knowledge Integration (2019 · 958 citations)
    Masked language models like BERT hide individual tokens, which for Chinese means single characters. A model can then often fill a gap from neighbouring characters inside the same word or name, without learning how entities relate to each other. ERNIE, developed at Baidu, changes what gets masked instead of adding…
  2. ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation (2020 · 163 citations)
    ERNIE-GEN, from Baidu, is a sequence-to-sequence framework that covers both pre-training and fine-tuning for text generation tasks.

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. ERNIE: Enhanced Representation through Knowledge IntegrationarXiv:1904.09223Yu Sun, Shuohuan Wang, Yukun Li, et al.2019 · 958 citations
  2. ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language GenerationInternational Joint Conference on Artificial IntelligenceDongling Xiao, Han Zhang, Yukun Li, et al.2020 · 163 citations
  3. ERNIE-Gram: Pre-Training with Explicitly N-Gram Masked Language Modeling for Natural Language UnderstandingarXiv:2010.12148 · original ↗ · no summary yetDongling Xiao et al.2020 · 22 citations

 Co-authors here

8 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 366 times (of the 141,840 papers whose bibliographies we read); 50 citing papers with a page here →.

Updated

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