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Jinghua Zhao

Jinghua Zhao has 2 papers in our library, in 2026, most of them on Sentiment & emotion, Vision & language; often with Haoqin Sun, Hui Wang, Jiaming Zhou.

2 papers in our library · 2026

OpenAlex · ORCID · h-index 8 · 34 works · 197 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 6 times in our library · ⭐ Paper Stars ranking: #10043

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

🎓Nankai UniversityTianjin · China2026 · 1 papercurrent🎓Jilin Normal UniversitySiping · China2010–2025 · 23 papers🎓Jilin UniversityChangchun · China2014–2022 · 11 papers🔬State Key Laboratory of Automotive Simulation and ControlChangchun2014–2022 · 10 papers🎓University of Shanghai for Science and TechnologyShanghai · China2016–2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 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 worksSignal Processing · 2 worksPsychology · 1 workExperimental and Cognitive Psychology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Sentiment & emotion · 1 workVision & language · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations (2026 · 6 citations)
    Chinese multimodal emotion recognition (MER) has far fewer resources than English. Existing Chinese corpora are mostly clipped from films and TV, so their quality is often low. They also tend to lack conversational structure or rich labels. Emotion captioning additionally relies on unreleased data, which makes…
  2. SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation (2026 · 3 citations)
    Judging how good synthetic speech sounds is still difficult. Common tools such as MOS ratings, A/B tests, or MCD produce a single number or a binary choice, which explains nothing about the judgment. Learned predictors such as UTMOS are usually limited to one task and one language. The authors propose…

 Co-authors here

12 of 13 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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