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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksLanguage and Linguistics · 2 worksComputer Science · 1 workPsychology · 1 workArtificial Intelligence · 1 workComputer Vision and Pattern Recognition · 1 workExperimental and Cognitive Psychology · 1 workCognitive Neuroscience · 1 workNeuroscience · 1 work
🧭 Topics 1Research subjects and languages the work is about.Vision & language · 1 work
Works by year
2020s
Papers
- 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… - 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
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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