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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
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Blog Post number 4
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Blog Post number 1
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portfolio
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publications
End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks
Published in UK Mobile, Wearable and Ubiquitous Systems Research Symposium 2018 (MobiUK), 2018
Recommended citation: Xijia Wei and Valentin Radu. "End-to-End Machine Learning for Smartphone-based Indoor Localisation and Tracking using Recurrent Neural Networks." https://mobiuk.org/abstract/S7-P4-Wei-End-to-End.pdf
Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking
Published in IEEE International Conference on Indoor Positioning and Indoor Navigation 2019 (IPIN), 2019
Recommended citation: Xijia Wei and Valentin Radu. "Calibrating Recurrent Neural Networks on Smartphone Inertial Sensors for Location Tracking." 2019 International Conference on Indoor Positioning and Indoor Navigation (IPIN). IEEE, 2019. https://ieeexplore.ieee.org/abstract/document/8911768
Sensor-fusion for Smartphone Location Tracking using Hybrid Multimodal Deep Neural Networks
Published in Sensors Special Issue "Multisensors Indoor Localization", 2021
Recommended citation: Xijia Wei, Zhiqiang Wei and Valentin Radu. Sensor-fusion for Smartphone Location Tracking using Hybrid Multimodal Deep Neural Networks. Sensors https://www.mdpi.com/1424-8220/21/22/7488/htm
MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks
Published in IEEE International Conference on Indoor Positioning and Indoor Navigation 2021 (IPIN), 2021
Recommended citation: Xijia Wei, Zhiqiang Wei and Valentin Radu, MM-Loc: Cross-sensor Indoor Smartphone Location Tracking using Multimodal Deep Neural Networks in Proc. Int. Conf. Indoor Positioning Indoor Navigat. (IPIN), Nov. 2021, pp. 1–8. https://ieeexplore.ieee.org/document/9662519
MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks
Published in UK Mobile, Wearable and Ubiquitous Systems Research Symposium 2022 (MobiUK), 2022
Recommended citation: Xijia Wei and Valentin Radu. "MMLoc+: A Transfer Learning based Multimodal Machine Learning Localization System for Dynamic Sensor Networks." https://weixijia.github.io/files/mobiuk2022.pdf
Leveraging Transfer Learning for Robust Multimodal Positioning Systems based on Smartphone Multisensory Data
Published in IEEE International Conference on Indoor Positioning and Indoor Navigation 2022 (IPIN), 2022
Recommended citation: Xijia Wei and Valentin Radu, Leveraging Transfer Learning for Robust Multimodal Positioning Systems based on Smartphone Multisensory Data in Proc. Int. Conf. Indoor Positioning Indoor Navigat. (IPIN), Sep. 2022, pp. 1–8. https://weixijia.github.io/files/ipin2022.pdf
talks
How recurrent neural network performs like pedestrian dead reckoning for indoor positioning
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An end-to-end multimodal deep neural network based smartphone cross-sensor tracking system
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
This is a description of a teaching experience. You can use markdown like any other post.
Teaching experience 2
Workshop, University 1, Department, 2015
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