P
Peng Su
Researcher at The Chinese University of Hong Kong
Publications - 18
Citations - 397
Peng Su is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Recurrent neural network & Domain (software engineering). The author has an hindex of 7, co-authored 15 publications receiving 205 citations. Previous affiliations of Peng Su include SenseTime & University of Sydney.
Papers
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Proceedings ArticleDOI
Long-term blood pressure prediction with deep recurrent neural networks
TL;DR: In this article, a deep recurrent neural network (RNN) consisting of multilayered Long Short-Term Memory (LSTM) networks was proposed for arterial blood pressure (BP) estimation.
Journal ArticleDOI
Multi-Wavelength Photoplethysmography Enabling Continuous Blood Pressure Measurement With Compact Wearable Electronics
TL;DR: The proposed depth-resolved MWPPG method can provide accurate measurements of SVR and BP, which are traditionally difficult to measure in a noninvasive or continuous fashion.
Posted Content
Adapting Object Detectors with Conditional Domain Normalization
TL;DR: The Conditional Domain Normalization (CDN) is designed to encode different domain inputs into a shared latent space, where the features from different domains carry the same domain attribute.
Posted Content
Gradient Regularized Contrastive Learning for Continual Domain Adaptation
TL;DR: The method can jointly learn both semantically discriminative and domain-invariant features with labeled source domain and unlabeled target domains and demonstrates the strong performance of the approach when compared to the state-of-the-art.
Book ChapterDOI
Adapting Object Detectors with Conditional Domain Normalization
TL;DR: Wang et al. as mentioned in this paper proposed a conditional domain normalization (CDN) to align domain distributions by modulating the semantic features of one domain conditioned on the learned domain-vector of another domain.