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Chao-Han Huck Yang

Chao-Han Huck Yang has 2 papers in our library, in 2023–2026, most of them on Speech & spoken language, Reasoning, Semitic languages; often with Ankita Pasad, Jinchuan Tian, Shizhe Diao.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 21 · 141 works · 2,051 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 10 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #9282

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

🏢NvidiaSanta Clara · United States2023–2026 · 22 papersEmploymentcurrent🏢NvidiaReading · United Kingdom2024–2026 · 7 paperscurrent🎓National Taiwan UniversityTaipei · Taiwan2024–2026 · 2 papersEducation until 2016current🎓Georgia Institute of TechnologyAtlanta · United States2017–2024 · 59 papersEducation 2017–2022🏢AmazonSeattle · United States2021–2024 · 9 papers🎓King Abdullah University of Science and TechnologyJeddah · Saudi Arabia2018–2023 · 4 papers🏢GoogleMountain View · United States2023 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSignal Processing · 1 work

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

 Works by year

2020s

20261 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech Model (2023 · 17 citations)
    The paper addresses spoken Arabic dialect identification (ADI). This task is harder than ordinary language identification because dialects of one language differ only in fine details of pronunciation and accent. It also lacks large pre-trained models built specifically for it. The authors take Whisper Base, a…
  2. Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception (2026)
    Omni-modal models that process audio and text should, in principle, improve speech recognition when also given transcripts from an external ASR system.

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. A Parameter-Efficient Learning Approach to Arabic Dialect Identification with Pre-Trained General-Purpose Speech ModelInterspeechSrijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, et al.2023 · 17 citations
  2. ESPnet-SpeechLM: An Open Speech Language Model Toolkit ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (System Demonstrations) · no summary yetJinchuan Tian et al.2025 · 6 citations
  3. Extending Automatic Machine Translation Evaluation to Book-Length Documents ↗Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing · no summary yetKuang-Da Wang et al.2025 · 4 citations
  4. Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni PerceptionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, et al.2026

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

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