2 citations · 9 across the 7 of their papers we have counts for
8 papers
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction
Youru Li, Zhenfeng Zhu, Xiaobo Guo +3
Risk prediction, as a typical time series modeling problem, is usually achieved by learning trends in markers or historical behavior from sequence data, and has been widely applied…
Addressing Heterogeneity in Federated Learning via Distributional Transformation
Haolin Yuan, Bo Hui, Yuchen Yang +3
Federated learning (FL) allows multiple clients to collaboratively train a deep learning model. One major challenge of FL is when data distribution is heterogeneous, i.e., differs…
A Real-Time Fusion Framework for Long-term Visual Localization
Yuchen Yang, Xudong Zhang, Shuang Gao +5
Visual localization is a fundamental task that regresses the 6 Degree Of Freedom (6DoF) poses with image features in order to serve the high precision localization requests in many…
Retrieval and Localization with Observation Constraints
Yuhao Zhou, Huanhuan Fan, Shuang Gao +4
Accurate visual re-localization is very critical to many artificial intelligence applications, such as augmented reality, virtual reality, robotics and autonomous driving. To accom…
Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory Tracing
Jingyuan Chen, Guanchen Ding, Yuchen Yang +7
Traffic anomaly detection has played a crucial role in Intelligent Transportation System (ITS). The main challenges of this task lie in the highly diversified anomaly scenes and va…
Adaptive regularisation for ensemble Kalman inversion
Marco Iglesias, Yuchen Yang
We propose a new regularisation strategy for the classical ensemble Kalman inversion (EKI) framework. The strategy consists of: (i) an adaptive choice for the regularisation parame…