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Donghang Wu

Donghang Wu has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Dialogue systems, Speech & spoken language; often with Fei Tian, Haoyang Zhang, Hexin Liu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 2 · 6 works · 29 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #10386

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

🎓Nanyang Technological UniversitySingapore · Singapore2026 · 1 papercurrent

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).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workSignal Processing · 1 work

🧭 Topics 4Research subjects and languages the work is about.Dialogue systems · 1 workLanguage models & pretraining · 1 workReasoning · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Chronological Thinking in Full-Duplex Spoken Dialogue Language Models (2026 · 3 citations)
    Full-duplex spoken dialogue language models (SDLMs) listen and speak at the same time. While the user talks, though, current systems just emit a stream of silence tokens. This wastes the listening period and may push an autoregressive model toward degenerate repetition. The authors propose CT-SDLM (implemented as…
  2. Step-Audio-R1 Technical Report (2025 · 3 citations)
    Audio language models usually perform worse when they reason at length, which runs against the test-time compute scaling seen in text and vision models.

 Co-authors here

11 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 5 times (of the 149,439 papers whose bibliographies we read); 3 citing papers with a page here →.

Updated

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