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Weichong Yin

Weichong Yin has 4 papers in our library, in 2020–2026, most of them on Language models & pretraining, Vision & language, Text generation; often with Yu Sun, Hua Ren Wu, Haifeng Wang.

4 papers in our library · 2020–2026

OpenAlex · h-index 8 · 26 works · 562 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 143 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #5333

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. 2 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. ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene Graph (2020 · 152 citations)
    Most vision-language pre-training models mask sub-words at random. As a result, they give generic words and content-bearing words equal weight and learn fine-grained correspondences between image and text poorly. ERNIE-ViL, from Baidu, addresses this by injecting structured knowledge from scene graphs.
  2. ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document Understanding (2022 · 40 citations)
    Most document pre-training models treat layout as a 2D extension of 1D positions and serialize OCR output in raster-scan order (top-to-bottom, left-to-right).
  3. ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language Generation (2021 · 33 citations)
    Image captioning and text-to-image synthesis are two directions of the same mapping between vision and language, yet they have usually been handled by separate, task-specific architectures.
  4. AttnPO: Attention-Guided Process Supervision for Efficient Reasoning (2026 · 18 citations)
    Reasoning models trained with RLVR tend to overthink, producing long chains of thought with little benefit.

All works

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

  1. ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetFei Richard Yu et al.2021 · 252 citations
  2. ERNIE-ViL: Knowledge Enhanced Vision-Language Representations Through Scene GrapharXiv:2006.16934Fei Yu, Jiji Tang, Weichong Yin, et al.2020 · 152 citations
  3. ERNIE-Layout: Layout Knowledge Enhanced Pre-training for Visually-rich Document UnderstandingarXiv:2210.06155Qiming Peng, Yinxu Pan, Wenjin Wang, et al.2022 · 40 citations
  4. ERNIE-ViLG: Unified Generative Pre-training for Bidirectional Vision-Language GenerationarXiv:2112.15283Han Zhang, Weichong Yin, Yewei Fang, et al.2021 · 33 citations

 Co-authors here

12 of 18 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 143 times (of the 149,439 papers whose bibliographies we read); 27 citing papers with a page here →.

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