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Jiaming Zhou

Jiaming Zhou has 4 papers in our library, in 2026, most of them on Sentiment & emotion, Dialogue systems, Speech & spoken language; often with Haoqin Sun, Hui Wang, Shiwan Zhao.

4 papers in our library · 2026

OpenAlex · ORCID · h-index 0 · 6 works · 0 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 6 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9995

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.

 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. 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…
  3. ChildTalk: A Multi-Dialect Chinese Child Speech Corpus with Full-Length Child–Caregiver Conversations for Speech Recognition (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…
  4. RealTalk-CN: A Realistic Chinese Speech Task-Oriented Dialogue Benchmark with Cross-Modal Analysis (2026)
    Speech LLMs such as GPT-4o can now handle spoken interaction end to end. However, it is unclear how well they help users finish concrete tasks when speech is spontaneous, spans many turns, varies across speakers, or alternates with typed input. Existing task-oriented dialogue (TOD) benchmarks are mostly text-only…

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. DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetJiaming Zhou et al.2026

 Co-authors here

12 of 14 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 →.

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