Multivariate Time Series Forecasting with Transfer Entropy Graph Z Duan, H Xu, Y Huang, J Feng, Y Wang Tsinghua Science and Technology 28 (1), 141 - 149, 2022 | 54* | 2022 |
Multivariate time series classification with hierarchical variational graph pooling Z Duan, H Xu, Y Wang, Y Huang, A Ren, Z Xu, Y Sun, W Wang Neural Networks 154, 481-490, 2022 | 33 | 2022 |
Heterogeneous attributed network embedding with graph convolutional networks Y Wang, Z Duan, B Liao, F Wu, Y Zhuang Proceedings of the AAAI conference on artificial intelligence 33 (01), 10061 …, 2019 | 33 | 2019 |
MTHetGNN: A Heterogeneous Graph Embedding Framework for Multivariate Time Series Forecasting Y Wang*, Z Duan*, Y Huang, H Xu, J Feng, A Ren Pattern Recognition Letter 153, 151-158, 2021 | 26* | 2021 |
Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation H Xu*, Z Duan*, Y Wang, J Feng, R Chen, Q Zhang, Z Xu Neurocomputing 439, 348-362, 2021 | 23 | 2021 |
Image-based prediction of granular flow behaviors in a wedge-shaped hopper by combing DEM and deep learning methods Z Liao, Y Yang, C Sun, R Wu, Z Duan, Y Wang, X Li, J Xu Powder Technology 383, 159-166, 2021 | 18 | 2021 |
CoSimGNN: Towards Large-scale Graph Similarity Computation H Xu, R Chen, Y Bai, Z Duan, J Feng, Y Sun, W Wang arXiv e-prints, arXiv: 2005.07115, 2020 | 15* | 2020 |
Connecting latent relationships over heterogeneous attributed network for recommendation Z Duan, Y Wang, W Ye, Q Fan, X Li Applied Intelligence, 2022 | 10 | 2022 |
Classifying herbal medicine origins by temporal and spectral data mining of electronic nose L Liu, X Zhan, Z Duan, Y Wu, R Wu, X Guan, Z Wang, Y Wang, G Li arXiv preprint arXiv:2104.06640, 2021 | 6 | 2021 |
Parallel extraction of long-term trends and short-term fluctuation framework for multivariate time series forecasting Y Zhou, Z Duan, H Xu, J Feng, A Ren, Y Wang, X Wang arXiv preprint arXiv:2008.07730, 2020 | 6 | 2020 |
Untethered quadrupedal hopping and bounding on a trampoline B Wang, C Zhou, Z Duan, Q Zhu, J Wu, R Xiong Frontiers of Mechanical Engineering 15, 181-192, 2020 | 6 | 2020 |
Venus: An efficient virus infection detection and fusion site discovery method using single-cell and bulk RNA-seq data CY Lee, Y Chen, Z Duan, M Xu, M Girgenti, K Xu, M Gerstein, J Zhang PLOS Computational Biology, 2022 | 5 | 2022 |
Deep Learning Based Detection and Localization of Intracranial Aneurysms in Computed Tomography Angiography D Wu, D Montes, Z Duan, Y Huang, JM Romero, RG Gonzalez, Q Li arXiv preprint arXiv:2005.11098, 2020 | 2 | 2020 |
ExAD-GNN: Explainable Graph Neural Network for Alzheimer's Disease State Prediction from Single-cell Data Z Duan, CY Lee, J Zhang APSIPA Transactions on Signal and Information Processing 12 (5), e201, 2023 | 1 | 2023 |
iHerd: an integrative hierarchical graph representation learning framework to quantify network changes and prioritize risk genes in disease Z Duan, Y Dai, A Hwang, C Lee, K Xie, C Xiao, M Xu, MJ Girgenti, ... PLOS Computational Biology, 2023 | 1 | 2023 |
Characterizing dysregulations via cell-cell communications in Alzheimer's brains using single-cell transcriptomes CY Lee, D Riffle, Y Xiong, N Momtaz, A Hwang, Z Duan, J Zhang bioRxiv, 2023.07. 16.548274, 2023 | 1 | 2023 |
Single-cell genomics and regulatory networks for 388 human brains PS Emani, JJ Liu, D Clarke, M Jensen, J Warrell, C Gupta, R Meng, ... bioRxiv, 2024.03. 18.585576, 2024 | | 2024 |
scENCORE: leveraging single-cell epigenetic data to predict chromatin conformation using graph embedding Z Duan, S Xu, S Sai Srinivasan, A Hwang, CY Lee, F Yue, M Gerstein, ... Briefings in Bioinformatics 25 (2), bbae096, 2024 | | 2024 |
Turtling: A Time-aware Neural Topic Model on NIH Grant Data R Zhang, Z Duan, CY Lee, D Riffle, MR Min, J Zhang Bioinformatics Advances, vbad096, 2023 | | 2023 |