Le Yang

Senior Lecturer

University of Canterbury

New Zealand

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About

Le Yang is a Senior Lecturer at the University of Canterbury, New Zealand. His research focuses on various areas including physiological risk factors in healthcare, localization technologies, noise measurement in positioning systems, and advanced data processing techniques. He has contributed to recent articles addressing topics such as sleep staging, point cloud quality assessment, and visuomotor tracking using fMRI methodologies.

Articles (20)

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2025

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2022

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2020

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2020

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2020

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2020

Collaborators (4)

Carrie Innes

University of Otago

NEW ZEALAND

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Jenq-Neng Hwang

University of Washington

UNITED STATES

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Govinda Poudel

Senior Lecturer

Australian Catholic University

AUSTRALIA

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yilei zhang

Associate Professor

University of Canterbury

NEW ZEALAND

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Le Yang

Research Interests

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Articles (20)

A Portable Device for Recording Physiological Risk Factors Associated With Aspiration Pneumonia

Indoor 3-D Localization Based on Heterogeneous Sensing Data Fusion

Bayesian FDOA Positioning with Correlated Measurement Noise

Automatic Sleep Staging of Single-Channel Ear-EEG Signals with a Probabilistic Ensemble Learning Approach

Once-Training-All-Fine: No-Reference Point Cloud Quality Assessment via Domain-Relevance Degradation Description

Conscious but not thinking—Mind‐blanks during visuomotor tracking: An fMRI study of endogenous attention lapses

Interval Hyperbolic Localization Based on Iterative Contraction for Cellular Networks

MonoAux: Fully Exploiting Auxiliary Information and Uncertainty for Monocular 3D Object Detection

Annealed SOR-Based Gibbs Sampler for MIMO Detection in Frequency-Selective Channels

TCDM: Transformational Complexity Based Distortion Metric for Perceptual Point Cloud Quality Assessment

Increased cerebral activity during microsleeps reflects an unconscious drive to re-establish consciousness

Point Cloud Quality Assessment: Dataset Construction and Learning-based No-reference Metric

A Closed-Form Solution for Source Localization Using FDOA Measurements Only

Media Production Using Cloud and Edge Computing: Recent Progress and NBMP-Based Implementation

EPES: Point Cloud Quality Modeling Using Elastic Potential Energy Similarity

A Spiking Neural Network With Spike-Timing-Dependent Plasticity for Surface Roughness Analysis

Direct Position Determination of Moving Sources Based on Delay and Doppler

Received Signal Strength-Based Indoor Localization Using Hierarchical Classification

Low-complexity TDOA and FDOA localization: A compromise between two-step and DPD methods

A Biologically Constrained Cerebellar Model With Reinforcement Learning for Robotic Limb Control

Collaborators (4)

Carrie Innes

Jenq-Neng Hwang

Govinda Poudel

yilei zhang

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