---
title: "Shiwan Zhao · Nankai University — author profile and papers"
description: "Shiwan Zhao, Nankai University: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/shiwan-zhao/"
---
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# Shiwan Zhao

Shiwan Zhao has 3 papers in our library, in 2026, most of them on [Sentiment & emotion](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/), [Speech & spoken language](https://md.research.elamur.ai/free/en/topics/speech/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Haoqin Sun](https://md.research.elamur.ai/free/en/authors/haoqin-sun/), [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/), [Jiaming Zhou](https://md.research.elamur.ai/free/en/authors/jiaming-zhou/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139759611) · [**h-index 0**](https://openalex.org/authors/A5139759611) · [3 works](https://openalex.org/works?filter=author.id:A5139759611) · [0 citations](https://openalex.org/works?filter=author.id:A5139759611&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/shiwan-zhao/#papers) · [🔗 Cited 6 times in our library](https://md.research.elamur.ai/free/en/authors/shiwan-zhao/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #10011](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10011)

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Shiwan+Zhao) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Shiwan+Zhao) · [dblp](https://dblp.org/search?q=Shiwan+Zhao) · [ACL Anthology](https://aclanthology.org/search/?q=Shiwan+Zhao)

## Affiliations

[🎓**Nankai University** Tianjin · China 2026 · 3 papers*current*](https://md.research.elamur.ai/free/en/universities/nankai-university/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Signal Processing · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/signal-processing/) · [Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/) · [Experimental and Cognitive Psychology · 1 work](https://md.research.elamur.ai/free/en/shelves/psychology/experimental-and-cognitive-psychology/)

🧭 Topics 3 Research subjects and languages the work is about.[Sentiment & emotion · 1 work](https://md.research.elamur.ai/free/en/topics/sentiment-emotion/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) · [Speech & spoken language · 1 work](https://md.research.elamur.ai/free/en/topics/speech/)

💡 Concepts 1 Key ideas and methods explained on our concept pages.[Child-directed speech · 1 work](https://md.research.elamur.ai/free/en/concepts/child-directed-speech/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/shiwan-zhao/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations](https://md.research.elamur.ai/free/en/papers/sun-2026-emotiontalk-interactive-chinese-multimodal-emotion/)** *(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](https://md.research.elamur.ai/free/en/papers/wang-2026-speechllm-as-judges-general-interpretable/)** *(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…
3. **[ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition](https://md.research.elamur.ai/free/en/papers/zhou-2026-childtalk-multi-dialect-chinese-child/)** *(2026)* Recognizing children's speech is hard for ASR systems. Child voices differ acoustically from the adult data most models are trained on, and Mandarin child corpora are scarce. Existing ones are often closed, built from read speech, cut into isolated utterances, or limited to standard Mandarin. The authors address this…

## All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. **[EmotionTalk: An Interactive Chinese Multimodal Emotion Dataset With Rich Annotations](https://md.research.elamur.ai/free/en/papers/sun-2026-emotiontalk-interactive-chinese-multimodal-emotion/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haoqin Sun, Jinghua Zhao, Xuechen Wang, et al.*2026 · 6 citations*
2. **[SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-speechllm-as-judges-general-interpretable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Wang, Jinghua Zhao, Yifan Yang, et al.*2026 · 3 citations*
3. **[ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition](https://md.research.elamur.ai/free/en/papers/zhou-2026-childtalk-multi-dialect-chinese-child/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Zhou, Yujie Guo, Shiwan Zhao, et al.*2026*
4. **[DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding ↗](https://aclanthology.org/2026.findings-acl.235/) Findings of the Association for Computational Linguistics: ACL 2026 · no summary yet**Jiaming Zhou et al.*2026*

## Co-authors here

12 of 14 co-authors with a page, the most papers together first.

- [Haoqin Sun](https://md.research.elamur.ai/free/en/authors/haoqin-sun/) ×3
- [Hui Wang](https://md.research.elamur.ai/free/en/authors/hui-wang/) ×3
- [Jiaming Zhou](https://md.research.elamur.ai/free/en/authors/jiaming-zhou/) ×3
- [Jinghua Zhao](https://md.research.elamur.ai/free/en/authors/jinghua-zhao/) ×2
- [Yong Qin](https://md.research.elamur.ai/free/en/authors/yong-qin/) ×2
- [Jinyu Li](https://md.research.elamur.ai/free/en/authors/jinyu-li/)
- [Shujie Liu](https://md.research.elamur.ai/free/en/authors/shujie-liu/)
- [Xi Yang](https://md.research.elamur.ai/free/en/authors/xi-yang/)
- [Yan Lu](https://md.research.elamur.ai/free/en/authors/yan-lu/)
- [Yanzhe Zhang](https://md.research.elamur.ai/free/en/authors/yanzhe-zhang/)
- [Yao Lu](https://md.research.elamur.ai/free/en/authors/yao-lu/)
- [Yequan Wang](https://md.research.elamur.ai/free/en/authors/yequan-wang/)

## Venues

Where their works here were published, the most works first, with the editions of those that have a page.

- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×2: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×2
- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/)
- Findings of the Association for Computational Linguistics: ACL 2026

## 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 →](https://md.research.elamur.ai/free/en/authors/shiwan-zhao/cited-by/).

Updated 1 November 2026
