Weizhu Qian
Orcid: 0000-0002-2291-4028
According to our database1,
Weizhu Qian
authored at least 18 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2019
2020
2021
2022
2023
2024
0
1
2
3
4
5
6
4
1
2
1
2
1
2
2
2
1
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Uncertainty-Aware Temporal Graph Convolutional Network for Traffic Speed Forecasting.
IEEE Trans. Intell. Transp. Syst., August, 2024
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting.
IEEE Trans. Knowl. Data Eng., May, 2024
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng., April, 2024
E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series.
Proceedings of the ACM on Web Conference 2024, 2024
2023
Knowl. Based Syst., April, 2023
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Guaranteed safe controller synthesis for switched systems using analytical solutions<sup>*</sup>.
Proceedings of the IEEE Conference on Control Technology and Applications, 2023
2022
Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
2021
Supervised and semi-supervised deep probabilistic models for indoor positioning problems.
Neurocomputing, 2021
2020
Discovering human mobility from mobile data: probabilistic models and learning algorithms. (Détermination des déplacements humains à partir des données collectées par des smartphones: modèles probabilistes et algorithmes d'apprentissage).
PhD thesis, 2020
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020
Proceedings of the 25th International Conference on Pattern Recognition, 2020
2019
Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition.
CoRR, 2019
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints.
CoRR, 2019