Weizhu Qian

According to our database, Weizhu Qian authored at least 16 papers between 2019 and 2024.

Collaborative distances:

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

2024

Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting.

Weizhu Qian, Yan Zhao, Dalin Zhang, Bowei Chen, Kai Zheng, Xiaofang Zhou

IEEE Trans. Knowl. Data Eng., May, 2024

Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing.

Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen

IEEE Trans. Knowl. Data Eng., April, 2024

E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series.

Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen

Proceedings of the ACM on Web Conference 2024, 2024

2023

Automated labeling and online evaluation for self-paced movement detection BCI.

Dalin Zhang, Christoffer Hansen, Fredrik De Frène, Simon Park Kærgaard, Weizhu Qian, Kaixuan Chen

Knowl. Based Syst., April, 2023

Uncertainty Quantification for Traffic Forecasting: A Unified Approach.

Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Guaranteed safe controller synthesis for switched systems using analytical solutions^*.

Martijn A. Goorden, Kim G. Larsen, Jesper E. Nielsen, Thomas D. Nielsen, Weizhu Qian, Michael R. Rasmussen, Guohan Zhao

Proceedings of the IEEE Conference on Control Technology and Applications, 2023

2022

Multi-Task Learning for Face Recognition via Mutual Information Minimization.

Weizhu Qian

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

Loyalty-based Task Assignment in Spatial Crowdsourcing.

Tinghao Lai, Yan Zhao, Weizhu Qian, Kai Zheng

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Supervised and semi-supervised deep probabilistic models for indoor positioning problems.

Weizhu Qian, Fabrice Lauri, Franck Gechter

Neurocomputing, 2021

Learning Robust Variational Information Bottleneck with Reference.

Weizhu Qian, Bowei Chen, Xiaowei Huang

CoRR, 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).

Weizhu Qian

PhD thesis, 2020

Multi-Task Variational Information Bottleneck.

Weizhu Qian, Bowei Chen, Franck Gechter

CoRR, 2020

A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data.

Weizhu Qian, Fabrice Lauri, Franck Gechter

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Variational Information Bottleneck Model for Accurate Indoor Position Recognition.

Weizhu Qian, Franck Gechter

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.

Weizhu Qian, Fabrice Lauri, Franck Gechter

CoRR, 2019

Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints.

Weizhu Qian, Fabrice Lauri, Franck Gechter

CoRR, 2019