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2020 – today
- 2024
[j5]Weizhu Qian
, Thomas Dyhre Nielsen, Yan Zhao, Kim Guldstrand Larsen, James Jianqiao Yu:
Uncertainty-Aware Temporal Graph Convolutional Network for Traffic Speed Forecasting. IEEE Trans. Intell. Transp. Syst. 25(8): 8578-8590 (2024)- [j4]Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen:
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing. IEEE Trans. Knowl. Data Eng. 36(4): 1800-1814 (2024) - [j3]Weizhu Qian, Yan Zhao, Dalin Zhang, Bowei Chen, Kai Zheng, Xiaofang Zhou:
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting. IEEE Trans. Knowl. Data Eng. 36(5): 2239-2256 (2024) - [c7]Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen:
E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series. WWW 2024: 3010-3021 - [i8]Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen:
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series. CoRR abs/2402.14041 (2024) - 2023
- [j2]Dalin Zhang, Christoffer Hansen, Fredrik De Frène, Simon Park Kærgaard, Weizhu Qian, Kaixuan Chen:
Automated labeling and online evaluation for self-paced movement detection BCI. Knowl. Based Syst. 265: 110383 (2023) - [c6]Martijn A. Goorden, Kim G. Larsen, Jesper E. Nielsen, Thomas D. Nielsen, Weizhu Qian, Michael R. Rasmussen, Guohan Zhao:
Guaranteed safe controller synthesis for switched systems using analytical solutions*. CCTA 2023: 784-790 - [c5]Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu:
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. ICDE 2023: 992-1004 - 2022
- [c4]Tinghao Lai, Yan Zhao, Weizhu Qian, Kai Zheng:
Loyalty-based Task Assignment in Spatial Crowdsourcing. CIKM 2022: 1014-1023 - [c3]Weizhu Qian:
Multi-Task Learning for Face Recognition via Mutual Information Minimization. ICTAI 2022: 1015-1021 - [i7]Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu:
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. CoRR abs/2208.05875 (2022) - 2021
- [j1]Weizhu Qian, Fabrice Lauri, Franck Gechter:
Supervised and semi-supervised deep probabilistic models for indoor positioning problems. Neurocomputing 435: 228-238 (2021) - [i6]Weizhu Qian, Franck Gechter:
Variational Information Bottleneck Model for Accurate Indoor Position Recognition. CoRR abs/2101.10655 (2021) - [i5]Weizhu Qian, Bowei Chen, Xiaowei Huang:
Learning Robust Variational Information Bottleneck with Reference. CoRR abs/2104.14379 (2021) - 2020
- [b1]Weizhu Qian:
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). University of Burgundy - Franche-Comté, France, 2020 - [c2]Weizhu Qian, Franck Gechter:
Variational Information Bottleneck Model for Accurate Indoor Position Recognition. ICPR 2020: 2529-2535 - [c1]Weizhu Qian, Fabrice Lauri, Franck Gechter:
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data. IPMU (1) 2020: 457-470 - [i4]Weizhu Qian, Bowei Chen, Franck Gechter:
Multi-Task Variational Information Bottleneck. CoRR abs/2007.00339 (2020)
2010 – 2019
- 2019
- [i3]Weizhu Qian, Fabrice Lauri, Franck Gechter:
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints. CoRR abs/1911.09344 (2019) - [i2]Weizhu Qian, Fabrice Lauri, Franck Gechter:
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data. CoRR abs/1911.09355 (2019) - [i1]Weizhu Qian, Fabrice Lauri, Franck Gechter:
Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition. CoRR abs/1911.09906 (2019)
Coauthor Index
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