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Cheng-Ying Hsieh on Muck Rack

Cheng-Ying Hsieh

As seen in: Nature, Journal of Biomedical Science
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Articles

Mixture-of-prompt experts for federated sentiment classification under non-IID data

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By Cheng-Ying Hsieh, Chun-Ming Yang, Xin Wang, Joen-Rong Sheu, Ching-Sheng Lin
| Nature Verified
Abstract Federated learning (FL) enables collaborative text classification while preserving data privacy, yet its performance can be degraded under non-IID data. This challenge is particularly severe in natural language processing, where client data may differ in linguistic style, topic distribution, and label semantics. Recent federated prompt-based methods address this issue by adapting large pre-trained language models (PLMs) through learnable prompts.
Open in Who Shared Issue with article?

HDAC6 dysfunction contributes to impaired maturation of adult neurogenesis in vivo: vital role on functional recovery after ischemic stroke

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By Joen-Rong Sheu, Cheng-Ying Hsieh, Thanasekaran Jayakumar, Guan-Yi Lin
| Journal of Biomedical Science Verified
Journal of Biomedical Science201926:27 https://doi.org/10.1186/s12929-019-0521-1 ©  The Author(s). 2019 Received: 29 March 2019 Accepted: 15 April 2019 Published: 18 April 2019 Abstract Background Promoting post-stroke neurogenesis has long been proposed to be a therapeutic strategy for the enhancement of functional recovery after cerebral ischemic stroke.
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