Search Results for author: Ziheng Duan

Found 8 papers, 1 papers with code

Classifying herbal medicine origins by temporal and spectral data mining of electronic nose

1 code implementation14 Apr 2021 Li Liu, Xianghao Zhan, Ziheng Duan, Yi Wu, Rumeng Wu, Xiaoqing Guan, Zhan Wang, You Wang, Guang Li

In this study, we classified different origins of three categories of herbal medicines with different feature extraction methods: manual feature extraction, mathematical transformation, deep learning algorithms.

Dimensionality Reduction

Multivariate Time Series Classification with Hierarchical Variational Graph Pooling

no code implementations12 Oct 2020 Ziheng Duan, Haoyan Xu, Yueyang Wang, Yida Huang, Anni Ren, Zhongbin Xu, Yizhou Sun, Wei Wang

Then we combine GNNs and our proposed variational graph pooling layers for joint graph representation learning and graph coarsening, after which the graph is progressively coarsened to one node.

Classification General Classification +5

MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting

no code implementations19 Aug 2020 Yueyang Wang, Ziheng Duan, Yida Huang, Haoyan Xu, Jie Feng, Anni Ren

To characterize complex relations among variables, a relation embedding module is designed in MTHetGNN, where each variable is regarded as a graph node, and each type of edge represents a specific static or dynamic relationship.

Decision Making Graph Embedding +2

Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting

no code implementations18 Aug 2020 Yifu Zhou, Ziheng Duan, Haoyan Xu, Jie Feng, Anni Ren, Yueyang Wang, Xiaoqian Wang

In this paper, a MTS forecasting framework that can capture the long-term trends and short-term fluctuations of time series in parallel is proposed.

Decision Making Multi-Task Learning +2

CoSimGNN: Towards Large-scale Graph Similarity Computation

no code implementations14 May 2020 Haoyan Xu, Runjian Chen, Yunsheng Bai, Ziheng Duan, Jie Feng, Yizhou Sun, Wei Wang

The ability to compute similarity scores between graphs based on metrics such as Graph Edit Distance (GED) is important in many real-world applications, such as 3D action recognition and biological molecular identification.

3D Action Recognition Graph Similarity

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