Tien Do Huu

According to our database, Tien Do Huu authored at least 20 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Explaining Graph Neural Networks With Topology-Aware Node Selection: Application in Air Quality Inference.

Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis

IEEE Trans. Signal Inf. Process. over Networks, 2022

Fine-Grained Urban Air Quality Mapping from Sparse Mobile Air Pollution Measurements and Dense Traffic Density.

Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips

Remote. Sens., 2022

Spatiotemporal air quality inference of low-cost sensor data: Evidence from multiple sensor testbeds.

Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna

Environ. Model. Softw., 2022

Conditional Variational Graph Autoencoder for Air Quality Forecasting.

Esther Rodrigo Bonet, Tien Huu Do, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis

Proceedings of the 30th European Signal Processing Conference, 2022

2021

Graph convolutional neural networks with node transition probability-based message passing and DropNode regularization.

Tien Huu Do, Duc Minh Nguyen, Giannis Bekoulis, Adrian Munteanu, Nikos Deligiannis

Expert Syst. Appl., 2021

Context-Aware Deep Markov Random Fields for Fake News Detection.

Tien Huu Do, Marc Berneman, Jasabanta Patro, Giannis Bekoulis, Nikos Deligiannis

IEEE Access, 2021

Street-level Air Quality Inference Based on Geographically Context-aware Random Forest Using Opportunistic Mobile Sensor Network.

Xuening Qin, Tien Huu Do, Jelle Hofman, Esther Rodrigo Bonet, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips

Proceedings of the ICIAI 2021: 2021 the 5th International Conference on Innovation in Artificial Intelligence, 2021

2020

Graph-Deep-Learning-Based Inference of Fine-Grained Air Quality From Mobile IoT Sensors.

Tien Huu Do, Evaggelia Tsiligianni, Xuening Qin, Jelle Hofman, Valerio Panzica La Manna, Wilfried Philips, Nikos Deligiannis

IEEE Internet Things J., 2020

Mapping Air Quality in IoT Cities: Cloud Calibration and Air Quality Inference of Sensor Data.

Jelle Hofman, Martha E. Nikolaou, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna

Proceedings of the 2020 IEEE Sensors, Rotterdam, The Netherlands, October 25-28, 2020, 2020

Spatiotemporal Air Quality Inference of Low-Cost Sensor Data; Application on a Cycling Monitoring Network.

Jelle Hofman, Tien Huu Do, Xuening Qin, Esther Rodrigo Bonet, Martha E. Nikolaou, Wilfried Philips, Nikos Deligiannis, Valerio Panzica La Manna

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Graph Auto-Encoder for Graph Signal Denoising.

Tien Huu Do, Duc Minh Nguyen, Nikos Deligiannis

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Context-Based Analysis of Urban Air Quality Using an Opportunistic Mobile Sensor Network.

Xuening Qin, Ljiljana Platisa, Tien Huu Do, Evaggelia Tsiligianni, Jelle Hofman, Valerio Panzica La Manna, Nikos Deligiannis, Wilfried Philips

Proceedings of the Science and Technologies for Smart Cities, 2019

Fake News Detection using Deep Markov Random Fields.

Duc Minh Nguyen, Tien Huu Do, A. Robert Calderbank, Nikos Deligiannis

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

BRUBIKE: A Dataset of Bicycle Traffic and Weather Conditions for Predicting Cycling Flow.

Steven Vanden Broucke, Luis Manuel Vidal Piña, Tien Huu Do, Nikos Deligiannis

Proceedings of the 2019 IEEE International Smart Cities Conference, 2019

Matrix Completion with Variational Graph Autoencoders: Application in Hyperlocal Air Quality Inference.

Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Angel Lopez Aguirre, Valerio Panzica La Manna, Frank J. Pasveer, Wilfried Philips, Nikos Deligiannis

Proceedings of the IEEE International Conference on Acoustics, 2019

Rumour Detection Via News Propagation Dynamics and User Representation Learning.

Tien Huu Do, Xiao Luo, Duc Minh Nguyen, Nikos Deligiannis

Proceedings of the IEEE Data Science Workshop, 2019

2018

Twitter data analysis for studying communities of practice in the media industry.

Marlen Komorowski, Tien Do Huu, Nikos Deligiannis

Telematics Informatics, 2018

Twitter User Geolocation Using Deep Multiview Learning.

Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Multiview Deep Learning for Predicting Twitter Users' Location.

Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni, Bruno Cornelis, Nikos Deligiannis

CoRR, 2017

2016

Twitter data clustering and visualization.

Andrei Sechelea, Tien Do Huu, Evangelos Zimos, Nikos Deligiannis

Proceedings of the 23rd International Conference on Telecommunications, 2016