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Hongkun Hao

Hongkun Hao has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Speech & spoken language; often with Pei Zhang, Xinyu Zhang, Xiong Wang.

3 papers in our library · 2023–2026

OpenAlex · ORCID · Wikidata · h-index 5 · 17 works · 120 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 93 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7611

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

🎓Shanghai Jiao Tong UniversityShanghai · China2022–2025 · 9 papersEmployment since 2022 · Master Student🏢MicrosoftRedmond · United States2024 · 2 papers

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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 2 worksMedicine · 1 workPhysiology · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksSpeech & spoken language · 1 work

 Works by year

2020s

20262 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Qwen3-ASR Technical Report (2026 · 23 citations)
    The Qwen Team presents Qwen3-ASR, an open family of speech models built on the large audio-language model approach.
  2. CLEAN-EVAL: Clean Evaluation on Contaminated Large Language Models (2023 · 20 citations)
    Benchmark scores of large language models may be inflated when test items leak into pretraining data, and many developers do not disclose their training corpora.
  3. Qwen3-TTS Technical Report (2026 · 14 citations)
    Qwen3-TTS is the Qwen team's first text-to-speech family. It aims for synthesis that is multilingual, controllable through natural-language voice descriptions, able to clone a voice from roughly three seconds of audio, and fast enough for streaming. The models use a Qwen3 LM backbone in a dual-track setup: text and…

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. WavLLM: Towards Robust and Adaptive Speech Large Language Model ↗Findings of the Association for Computational Linguistics: EMNLP 2024 · no summary yetShujie Hu et al.2024 · 98 citations
  2. Qwen3-ASR Technical ReportarXiv:2601.21337Xian Shi, Xiong Wang, Zhifang Guo, et al.2026 · 23 citations
  3. CLEAN-EVAL: Clean Evaluation on Contaminated Large Language ModelsFindings of the Association for Computational LinguisticsWenhong Zhu, Hongkun Hao, Zhiwei He, et al.2023 · 20 citations
  4. Qwen3-TTS Technical ReportarXiv:2601.15621Hangrui Hu, Xinfa Zhu, Ting He, et al.2026 · 14 citations

 Co-authors here

12 of 18 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 93 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated

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