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Yichong Leng

Yichong Leng has 3 papers in our library, in 2024–2025, most of them on Speech & spoken language, Language models & pretraining; often with Chang Zhou, Jin Xu, Jingren Zhou.

3 papers in our library · 2024–2025

OpenAlex · ORCID · h-index 12 · 36 works · 717 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 348 times in our library · ⭐ Paper Stars ranking: #3754

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

🎓University of Science and Technology of ChinaHefei · China2019–2025 · 19 papers🏢Microsoft Research AsiaBeijing · China2019–2024 · 5 papers🏢Alibaba GroupHangzhou · China2024 · 3 papers🏢MicrosoftRedmond · United States2019–2024 · 3 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 worksSignal Processing · 1 work

🧭 Topics 2Research subjects and languages the work is about.Speech & spoken language · 3 worksLanguage models & pretraining · 2 works

 Works by year

2020s

20251 paperKimi-Audio Technical Report20242 papersYichong Leng's papers of 2024

 Papers

The most cited first (OpenAlex and our library).

  1. Qwen2-Audio Technical Report (2024 · 232 citations)
    Qwen2-Audio is an open large audio-language model (LALM) from Alibaba's Qwen Team. It takes audio and text as input and replies in text, and its main goal is stronger instruction following. The model pairs an audio encoder initialized from Whisper-large-v3 with the Qwen-7B language model.
  2. AIR-Bench: Benchmarking Large Audio-Language Models via Generative Comprehension (2024 · 108 citations)
    Large audio-language models (LALMs) such as SALMONN, BLSP and Qwen-Audio can respond to spoken and other audio input in free text.
  3. Kimi-Audio Technical Report (2025 · 57 citations)
    Earlier audio language models tend to target one task family, skip serious audio pre-training, or ship without code and weights.

 Co-authors here

12 of 13 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 348 times (of the 141,840 papers whose bibliographies we read); 13 citing papers with a page here →.

Updated

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