1 code implementation • 21 Feb 2024 • Zhichen Lai, Huan Li, Dalin Zhang, Yan Zhao, Weizhu Qian, Christian S. Jensen
We propose E2USD that enables efficient-yet-accurate unsupervised MTS state detection.
no code implementations • 11 Aug 2022 • Weizhu Qian, Dalin Zhang, Yan Zhao, Kai Zheng, James J. Q. Yu
To achieve this, we develop Deep Spatio-Temporal Uncertainty Quantification (DeepSTUQ), which can estimate both aleatoric and epistemic uncertainty.
no code implementations • 29 Apr 2021 • Weizhu Qian, Bowei Chen, Xiaowei Huang
We propose a new approach to train a variational information bottleneck (VIB) that improves its robustness to adversarial perturbations.
no code implementations • 26 Jan 2021 • Weizhu Qian, Franck Gechter
The encoder is to find a good representation in the input data for the learning task.
no code implementations • 1 Jul 2020 • Weizhu Qian, Bo-Wei Chen, Yichao Zhang, Guanghui Wen, Franck Gechter
Multi-task learning (MTL) is an important subject in machine learning and artificial intelligence.
no code implementations • 22 Nov 2019 • Weizhu Qian, Fabrice Lauri, Franck Gechter
Predicting smartphone users location with WiFi fingerprints has been a popular research topic recently.
no code implementations • 21 Nov 2019 • Weizhu Qian, Fabrice Lauri, Franck Gechter
Predicting smartphone users activity using WiFi fingerprints has been a popular approach for indoor positioning in recent years.
no code implementations • 21 Nov 2019 • Weizhu Qian, Fabrice Lauri, Franck Gechter
In the experiments, the effectiveness of our method is validated on the real user data collected from different users.