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Ching-Yao Chuang

Ching-Yao Chuang is a research scientist at NVIDIA working on computer vision, machine learning, and generative AI.

Researcher1 organizations4 reports

Profile status: updated

Ching-Yao Chuang portrait
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Contributions are treated as untrusted leads. Public changes happen only after review against public sources.

Trust signals

Profile completeness64%
Public sources2
Official sources2
CountryUnknown
Last reviewedMar 13, 2026
Review outcomeUpdated
Official homepage Scholar profile
updated Unknown location 2 public sources

Latest review note

Added verified homepage and Google Scholar links, plus avatar and a concise English research bio.

Public links

website Personal homepage google_scholar Google Scholar profile

Organizations

extended NVIDIA

Reports

Large Language Models Nemotron-H: A Family of Accurate and Efficient Hybrid Mamba-Transformer Models Reasoning Models NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model Reasoning Models Nemotron 3 nano: Open, efficient mixture-of-experts hybrid mamba-transformer model for agentic reasoning Reasoning Models Nemotron 3 Super: Open, efficient mixture-of-experts hybrid mamba-transformer model for agentic reasoning

Official and primary sources

https://chingyaochuang.github.io/ Official source · homepage https://scholar.google.com/citations?user=VUf9M9kAAAAJ&hl=en Official source · scholar

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