Weizhu Qian

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 20

Top Topics

Multivariate Time Series

Preference Learning

Information Bottleneck

Top Venues

IEEE Trans. Knowl. Data Eng.

Publications

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) (2024)
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 (2024)
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) (2024)
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)
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) (2024)
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 (2023)
Martijn A. Goorden, Kim G. Larsen, Jesper E. Nielsen, Thomas D. Nielsen, Weizhu Qian, Michael R. Rasmussen, Guohan Zhao
. CCTA (2023)
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. ICDE (2023)
Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
Uncertainty Quantification for Traffic Forecasting: A Unified Approach. CoRR (2022)
Tinghao Lai, Yan Zhao, Weizhu Qian, Kai Zheng
Loyalty-based Task Assignment in Spatial Crowdsourcing. CIKM (2022)
Weizhu Qian
Multi-Task Learning for Face Recognition via Mutual Information Minimization. ICTAI (2022)
Weizhu Qian, Fabrice Lauri, Franck Gechter
Supervised and semi-supervised deep probabilistic models for indoor positioning problems. Neurocomputing 435 (2021)
Weizhu Qian, Bowei Chen, Xiaowei Huang
Learning Robust Variational Information Bottleneck with Reference. CoRR (2021)
Weizhu Qian, Franck Gechter
Variational Information Bottleneck Model for Accurate Indoor Position Recognition. CoRR (2021)
Weizhu Qian, Franck Gechter
Variational Information Bottleneck Model for Accurate Indoor Position Recognition. ICPR (2020)
Weizhu Qian, Bowei Chen, Franck Gechter
Multi-Task Variational Information Bottleneck. CoRR (2020)
Weizhu Qian, Fabrice Lauri, Franck Gechter
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data. IPMU (1) (2020)
Weizhu Qian, Fabrice Lauri, Franck Gechter
Convolutional Mixture Density Recurrent Neural Network for Predicting User Location with WiFi Fingerprints. CoRR (2019)
Weizhu Qian, Fabrice Lauri, Franck Gechter
A Probabilistic Approach for Discovering Daily Human Mobility Patterns with Mobile Data. CoRR (2019)
Weizhu Qian, Fabrice Lauri, Franck Gechter
Supervised and Semi-supervised Deep Learning-based Models for Indoor Location Prediction and Recognition. CoRR (2019)