59 citations · 59 across the 1 of their papers we have counts for
5 papers
Multivariate Time Series Classification with Hierarchical Variational Graph Pooling
Ziheng Duan, Haoyan Xu, Yueyang Wang +5
With the advancement of sensing technology, multivariate time series classification (MTSC) has recently received considerable attention. Existing deep learning-based MTSC technique…
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting
Yifu Zhou, Ziheng Duan, Haoyan Xu +4
Multivariate time series forecasting is widely used in various fields. Reasonable prediction results can assist people in planning and decision-making, generate benefits and avoid…
TIMME: Twitter Ideology-detection via Multi-task Multi-relational Embedding
Zhiping Xiao, Weiping Song, Haoyan Xu +2
We aim at solving the problem of predicting people's ideology, or political tendency. We estimate it by using Twitter data, and formalize it as a classification problem. Ideology-d…
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation
Haoyan Xu, Ziheng Duan, Jie Feng +4
Graph similarity computation aims to predict a similarity score between one pair of graphs to facilitate downstream applications, such as finding the most similar chemical compound…
Improved object recognition using neural networks trained to mimic the brain's statistical properties
Callie Federer, Haoyan Xu, Alona Fyshe +1
The current state-of-the-art object recognition algorithms, deep convolutional neural networks (DCNNs), are inspired by the architecture of the mammalian visual system, and are cap…