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Ailin Huang

Ailin Huang has 2 papers in our library, in 2025–2026, most of them on Speech & spoken language, Reasoning, Vision & language; often with Boyong Wu, Chao Yan, Chen Hu.

2 papers in our library · 2025–2026

OpenAlex · h-index 10 · 23 works · 268 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 26 times in our library · ⭐ Paper Stars ranking: #8624

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

🎓Sichuan Agricultural UniversityYa'an · China2023–2025 · 3 paperscurrent🏢MegviiBeijing2022–2024 · 4 papers🎓Guangdong Pharmaceutical UniversityGuangzhou · China2014–2016 · 4 papers🎓National Cheng Kung UniversityTainan · Taiwan2021–2023 · 3 papers🏛️Guangdong Academy of SciencesGuangzhou · China2023–2024 · 2 papers🔬Guangzhou Institute of GeographyGuangzhou · China2023–2024 · 2 papers🎓Wuhan UniversityWuhan · China2023 · 2 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 6The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArts and Humanities · 1 workArtificial Intelligence · 2 worksLanguage and Linguistics · 1 workSignal Processing · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 3Research subjects and languages the work is about.Speech & spoken language · 1 workReasoning · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction (2025 · 25 citations)
    Open-source spoken dialogue systems often keep speech understanding and speech generation in separate components.
  2. STEP3-VL-10B Technical Report (2026 · 2 citations)
    Compact multimodal models (around 10B parameters or fewer) are usually efficient but weaker at difficult perception and reasoning.

 Co-authors here

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

 Cited by

Papers of our library cite their works 26 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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