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Junxin Liu

Junxin Liu has 2 papers in our library, in 2018, most of them on Sentiment & emotion, English; often with Chuhan Wu, Fangzhao Wu, Sixing Wu.

2 papers in our library · 2018

OpenAlex · ORCID · h-index 13 · 34 works · 649 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 6 times in our library · ⭐ Paper Stars ranking: #9017

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

🎓Guilin Medical UniversityGuilin · China2026 · 1 papercurrent🎓Oregon State UniversityCorvallis · United States2026 · 1 papercurrent🏥Second Xiangya Hospital of Central South UniversityChangsha · China2026 · 1 papercurrent🎓Tsinghua UniversityBeijing · China2018–2019 · 19 papers🎓Jilin UniversityChangchun · China2013–2025 · 2 papers🎓Yanshan UniversityQinhuangdao · China2023–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksHuman-Computer Interaction · 1 workExperimental and Cognitive Psychology · 1 workPsychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.English · 1 workSentiment & emotion · 1 work

 Works by year

2010s

20182 papers

 Papers

The most cited first (OpenAlex and our library).

  1. THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction (2018 · 11 citations)
    This paper describes the THU_NGN entry to SemEval-2018 Task 2, subtask 1. The task is to guess which of 20 emojis originally accompanied an English tweet after the emoji has been removed. The team built RCLA, a residual CNN-LSTM with attention, which processes the tweet in stages:
  2. THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM (2018 · 10 citations)
    This paper presents the THU_NGN system for SemEval-2018 Task 3, which targets irony in English tweets after explicit irony hashtags have been removed. Subtask A is a binary ironic vs. non-ironic decision. Subtask B separates three irony types (V-irony, O-irony, S-irony) from non-ironic tweets.

 Co-authors here

5 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 6 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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