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Chong Li

Chong Li has 2 papers in our library, in 2025–2026, most of them on Vision & language; often with Da Pan, Guosheng Dong, Jun Liu.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 18 · 58 works · 900 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 28 times in our library · ⭐ Paper Stars ranking: #8515

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. Baichuan-Omni-1.5 Technical Report (2025 · 28 citations)
    Open-source multimodal LLMs mostly pair vision with text. Voice support usually relies on separate ASR and TTS modules, which add latency. End-to-end omni models such as VITA-1.5 and Mini-Omni2 often lose quality when modalities compete, especially on text-only tasks. Baichuan-Omni-1.5 is a single 7B-scale model that…
  2. Decoding the Multimodal Mind: Generalizable Brain-to-Text Translation via Multimodal Alignment and Adaptive Routing (2026 · 1 citation)
    Most brain-to-text decoders map neural recordings onto a single representation type, such as image or text embeddings. This ignores the fact that perception is cross-modal: reading about a barking dog can also evoke sights and sounds. Ye et al. build a unified decoder on Qwen2.5-Omni that addresses this gap.

 Co-authors here

10 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 28 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

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