Hao Xiong

Orcid: 0000-0002-6842-1667

Affiliations:
  • Macquarie University, Australian Institute of Health Innovation, Sydney, Australia
  • University of Sydney, Australia (PhD 2018)


According to our database1, Hao Xiong authored at least 19 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Online Visual SLAM Adaptation against Catastrophic Forgetting with Cycle-Consistent Contrastive Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Denoising Cough Sound Recordings Using Neural Networks.
Proceedings of the 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2023

2022
Identifying daily activities of patient work for type 2 diabetes and co-morbidities: a deep learning and wearable camera approach.
J. Am. Medical Informatics Assoc., 2022

Family informatics.
J. Am. Medical Informatics Assoc., 2022

Weak label based Bayesian U-Net for optic disc segmentation in fundus images.
Artif. Intell. Medicine, 2022

Detecting Cough Recordings in Crowdsourced Data Using CNN-RNN.
Proceedings of the IEEE-EMBS International Conference on Biomedical and Health Informatics, 2022

2021
Benchmarking Audio Signal Representation Techniques for Classification with Convolutional Neural Networks.
Sensors, 2021

Prediction of anxiety disorders using a feature ensemble based bayesian neural network.
J. Biomed. Informatics, 2021

A diversified shared latent variable model for efficient image characteristics extraction and modelling.
Neurocomputing, 2021

Detecting pertussis in the pediatric population using respiratory sound events and CNN.
Biomed. Signal Process. Control., 2021

Attention-based Long-term Modeling for Deep Visual Odometry.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
Deep Representation Calibrated Bayesian Neural Network for Semantically Explainable Face Inpainting and Editing.
IEEE Access, 2020

Robust Vision-Based Workout Analysis Using Diversified Deep Latent Variable Model.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

ECG-Derived Heart Rate Variability Interpolation and 1-D Convolutional Neural Networks for Detecting Sleep Apnea.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2018
Diversified Latent Variable Models.
PhD thesis, 2018

2017
A Diversified Generative Latent Variable Model for WiFi-SLAM.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Dual Diversified Dynamical Gaussian Process Latent Variable Model for Video Repairing.
IEEE Trans. Image Process., 2016

Deep Neural Networks with Relativity Learning for facial expression recognition.
Proceedings of the 2016 IEEE International Conference on Multimedia & Expo Workshops, 2016

Diversified Dynamical Gaussian Process Latent Variable Model for Video Repair.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016


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