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Yanjun Ma

Yanjun Ma has 2 papers in our library, in 2018–2026, most of them on Question answering, Vision & language; often with Jing Liu, Dianhai Yu, Haifeng Wang.

2 papers in our library · 2018–2026

OpenAlex · ORCID · h-index 29 · 140 works · 3,100 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 83 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #5224

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

🏢BaiduBeijing · China2011–2026 · 13 paperscurrent🎓University of WashingtonSeattle · United States1985–1997 · 18 papers🎓Dublin City UniversityDublin · Ireland2007–2010 · 14 papers🎓Qingdao UniversityQingdao · China2010–2019 · 11 papers🎓University of AlbertaEdmonton · Canada2014–2021 · 10 papersEducation since 2014 · Chemical Engineering🎓West Virginia UniversityMorgantown · United States2020–2023 · 3 papers🏢Global Energy Interconnection Research InstituteBeijing · China2019–2021 · 3 papers🏢Intellectual VenturesBellevue · United States2015 · 3 papers🎓Tsinghua UniversityBeijing · China2006 · 3 papers🎓Xi'an University of Science and TechnologyXi'an · China2013–2014 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 12 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 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.Question answering · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper

2010s

20181 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Answer-focused and Position-aware Neural Question Generation (2018 · 255 citations)
    The paper tackles neural question generation: given a passage and a target answer span, the system must produce a fitting question.
  2. ERNIE 5.0 Technical Report (2026 · 7 citations)
    Most large multimodal systems can read images, video or audio but still answer mainly in text. When generation is added, it usually comes from separate decoders attached to a language model, which can weaken core language skills. Baidu's ERNIE 5.0 addresses this with a single autoregressive model trained from scratch…

All works

4 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. Answer-focused and Position-aware Neural Question GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Xingwu Sun, Jing Liu, Yajuan Lyu, et al.2018 · 255 citations
  2. Emerging trends: A gentle introduction to fine-tuning ↗Natural Language Engineering · no summary yetKenneth Church, Zeyu Chen, Yanjun Ma2021 · 109 citations
  3. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
  4. Tuning Syntactically Enhanced Word Alignment for Statistical Machine Translation ↗Proceedings of the 13th Annual Conference of the European Association for Machine Translation · no summary yetYanjun Ma, Patrik Lambert, Andy Way2009 · 3 citations

 Co-authors here

11 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 83 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

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