Weizhu Qian

23 papers A* 2A 2B 2Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2025 A conf
Traffic Safety Evaluation Based on Macroscopic Traffic Features in Road Tunnels.
CIKM
Yupu Zhang, Lei Jia, Hao Miao, Weizhu Qian, Yan Zhao, Kai Zheng
2024 J jnl
Conditional Lagrangian Wasserstein Flow for Time Series Imputation.
CoRR
Weizhu Qian, Dalin Zhang, Yan Zhao
2024 J jnl
E2USD: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series.
CoRR
Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen
2024 A* conf
E2Usd: Efficient-yet-effective Unsupervised State Detection for Multivariate Time Series.
WWW
Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen
2024 J jnl
Task Assignment With Efficient Federated Preference Learning in Spatial Crowdsourcing.
IEEE Trans. Knowl. Data Eng.
Hao Miao, Xiaolong Zhong, Jiaxin Liu, Yan Zhao, Xiangyu Zhao, Weizhu Qian, Kai Zheng, Christian S. Jensen
2024 J jnl
Towards a Unified Understanding of Uncertainty Quantification in Traffic Flow Forecasting.
IEEE Trans. Knowl. Data Eng.
Weizhu Qian, Yan Zhao, Dalin Zhang, Bowei Chen, Kai Zheng, Xiaofang Zhou
2024 J jnl
Uncertainty-Aware Temporal Graph Convolutional Network for Traffic Speed Forecasting.
IEEE Trans. Intell. Transp. Syst.
Weizhu Qian, Thomas Dyhre Nielsen, Yan Zhao, Kim Guldstrand Larsen, James Jianqiao Yu
2023 J jnl
Automated labeling and online evaluation for self-paced movement detection BCI.
Knowl. Based Syst.
Dalin Zhang, Christoffer Hansen, Fredrik De Frène, Simon Park Kærgaard, Weizhu Qian, Kaixuan Chen
2023 — conf
Guaranteed safe controller synthesis for switched systems using analytical solutions
CCTA
Martijn A. Goorden, Kim G. Larsen, Jesper E. Nielsen, Thomas D. Nielsen, Weizhu Qian, Michael R. Rasmussen, Guohan Zhao
2023 A* conf
Uncertainty Quantification for Traffic Forecasting: A Unified Approach.
ICDE
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
2022 A conf
Loyalty-based Task Assignment in Spatial Crowdsourcing.
CIKM
Tinghao Lai, Yan Zhao, Weizhu Qian, Kai Zheng
2022 B conf
Multi-Task Learning for Face Recognition via Mutual Information Minimization.
ICTAI
Weizhu Qian
2022 J jnl
Uncertainty Quantification for Traffic Forecasting: A Unified Approach.
CoRR
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
2021 J jnl
Learning Robust Variational Information Bottleneck with Reference.
CoRR
Weizhu Qian, Bowei Chen, Xiaowei Huang
2021 J jnl
Supervised and semi-supervised deep probabilistic models for indoor positioning problems.
Neurocomputing
Weizhu Qian, Fabrice Lauri, Franck Gechter
2021 J jnl
Variational Information Bottleneck Model for Accurate Indoor Position Recognition.
CoRR
Weizhu Qian, Franck Gechter
2020 — conf
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data.
IPMU (1)
Weizhu Qian, Fabrice Lauri, Franck Gechter
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
2020 J jnl
Multi-Task Variational Information Bottleneck.
CoRR
Weizhu Qian, Bowei Chen, Franck Gechter
2020 B conf
Variational Information Bottleneck Model for Accurate Indoor Position Recognition.
ICPR
Weizhu Qian, Franck Gechter
2019 J jnl
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data.
CoRR
Weizhu Qian, Fabrice Lauri, Franck Gechter
2019 J jnl
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints.
CoRR
Weizhu Qian, Fabrice Lauri, Franck Gechter
2019 J jnl
Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition.
CoRR
Weizhu Qian, Fabrice Lauri, Franck Gechter