442 citations · 579 across the 20 of their papers we have counts for
4 papers · 1 filter
Network-wide Multi-step Traffic Volume Prediction using Graph Convolutional Gated Recurrent Neural Network
Lei Lin, Weizi Li, Lei Zhu
Accurate prediction of network-wide traffic conditions is essential for intelligent transportation systems. In the last decade, machine learning techniques have been widely used fo…
Neural Process for Black-Box Model Optimization Under Bayesian Framework
Zhongkai Shangguan, Lei Lin, Wencheng Wu +1
There are a large number of optimization problems in physical models where the relationships between model parameters and outputs are unknown or hard to track. These models are nam…
MCFlow: Monte Carlo Flow Models for Data Imputation
Trevor W. Richardson, Wencheng Wu, Lei Lin +2
We consider the topic of data imputation, a foundational task in machine learning that addresses issues with missing data. To that end, we propose MCFlow, a deep framework for impu…
Medical Time Series Classification with Hierarchical Attention-based Temporal Convolutional Networks: A Case Study of Myotonic Dystrophy Diagnosis
Lei Lin, Beilei Xu, Wencheng Wu +2
Myotonia, which refers to delayed muscle relaxation after contraction, is the main symptom of myotonic dystrophy patients. We propose a hierarchical attention-based temporal convol…