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Yang Yang

Yang Yang has 2 papers in our library, in 2017–2022, most of them on Sentiment & emotion, Multilingual & cross-lingual NLP, Semitic languages; often with Greg Diamos, Heewoo Jun, Joel Hestness.

2 papers in our library · 2017–2022

OpenAlex · ORCID · h-index 16 · 157 works · 1,471 citations OpenAlex, 2026-10-14

2 works in our library · 184 citations in our library · 1 more in our library without a page yet · ⭐ Paper Star rank #2926

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

🎓Peking UniversityBeijing · China2014–2025 · 13 papers🏢MeituanBeijing · China2021–2023 · 6 papers🎓Zhejiang UniversityHangzhou · China2017–2023 · 4 papers🎓Jilin Engineering Normal UniversityChangchun · China2019 · 4 papers🎓Beijing University of Posts and TelecommunicationsBeijing · China2017–2025 · 3 papers🎓University of Science and Technology of ChinaHefei · China2013–2025 · 3 papers🎓University of Electronic Science and Technology of ChinaChengdu · China2016–2023 · 3 papers🎓Communication University of ChinaBeijing · China2019–2022 · 3 papers🏢Microsoft Research AsiaBeijing · China2021–2022 · 3 papers🎓Beijing Jiaotong UniversityBeijing · China2010–2025 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 67 more institutions on single bylines are not listed.

 Topics

 Sentiment & emotion (1) Multilingual & cross-lingual NLP (1) Semitic languages (1)

 Works by year

2020s

20221 paper

2010s

20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Deep Learning Scaling is Predictable, Empirically (2017 · 497 citations)
    Practitioners widely assume that more data and bigger models improve accuracy, but there was no reliable way to forecast how much gain a given increase in training data would bring.
  2. X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection (2022 · 15 citations)
    The paper presents X-PuDu, a system for SemEval-2022 Task 6 (iSarcasmEval), which detects intended sarcasm in English and Arabic tweets. The task data were labelled by the tweet authors, who also wrote non-sarcastic rephrasings of their sarcastic posts. There are three subtasks:

Also in our library

1 more work of theirs is in our library without a page here yet; it will appear as we publish them.

 Co-authors here

7 co-authors with a page, the most papers together first.

 Cited by

Papers of our library cite their works 184 times (of the 140,884 papers whose bibliographies we read); 35 citing papers with a page here →.

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