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Edge Sparse Basis Network: A Deep Learning Framework for EEG Source Localization


Feb 28, 2021
Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu


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Self-Supervised Learning of Graph Neural Networks: A Unified Review


Feb 23, 2021
Yaochen Xie, Zhao Xu, Zhengyang Wang, Shuiwang Ji

* 17 pages, 6 figures 

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Edge Sparse Basis Network: An Deep Learning Framework for EEG Source Localization


Feb 18, 2021
Chen Wei, Kexin Lou, Zhengyang Wang, Mingqi Zhao, Dante Mantini, Quanying Liu


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MoleculeKit: Machine Learning Methods for Molecular Property Prediction and Drug Discovery


Dec 02, 2020
Zhengyang Wang, Meng Liu, Youzhi Luo, Zhao Xu, Yaochen Xie, Limei Wang, Lei Cai, Shuiwang Ji

* Supplementary Material: https://documentcloud.adobe.com/link/track?uri=urn:aaid:scds:US:d0ca85d1-c6f9-428b-ae2b-c3bf3257196d 

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Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping


Nov 19, 2020
Xinyi Xu, Zhengyang Wang, Cheng Deng, Hao Yuan, Shuiwang Ji


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Noise2Same: Optimizing A Self-Supervised Bound for Image Denoising


Oct 22, 2020
Yaochen Xie, Zhengyang Wang, Shuiwang Ji

* 15 pages, NeurIPS 2020 

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Deep Low-Shot Learning for Biological Image Classification and Visualization from Limited Training Samples


Oct 20, 2020
Lei Cai, Zhengyang Wang, Rob Kulathinal, Sudhir Kumar, Shuiwang Ji


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CorDEL: A Contrastive Deep Learning Approach for Entity Linkage


Sep 15, 2020
Zhengyang Wang, Bunyamin Sisman, Hao Wei, Xin Luna Dong, Shuiwang Ji

* Accepted by the 20th IEEE International Conference on Data Mining (ICDM 2020) 

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Global Voxel Transformer Networks for Augmented Microscopy


Aug 05, 2020
Zhengyang Wang, Yaochen Xie, Shuiwang Ji

* Supplementary Material: https://documentcloud.adobe.com/link/track?uri=urn:aaid:scds:US:967e80e2-d90e-49ad-b4f9-f6ca12379e1f 

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Second-Order Pooling for Graph Neural Networks


Jul 20, 2020
Zhengyang Wang, Shuiwang Ji

* IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 
* 12 pages, 2 figures, https://www.computer.org/csdl/journal/tp/5555/01/09104936/1kj0O2A1yBa 

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Kronecker Attention Networks


Jul 16, 2020
Hongyang Gao, Zhengyang Wang, Shuiwang Ji

* 9 pages, KDD2020 

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Non-Local Graph Neural Networks


May 29, 2020
Meng Liu, Zhengyang Wang, Shuiwang Ji


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iCapsNets: Towards Interpretable Capsule Networks for Text Classification


May 16, 2020
Zhengyang Wang, Xia Hu, Shuiwang Ji


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Global Transformer U-Nets for Label-Free Prediction of Fluorescence Images


Jul 02, 2019
Yi Liu, Hao Yuan, Zhengyang Wang, Shuiwang Ji

* 8 pages, 3 figures, 4 tables 

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Global Deep Learning Methods for Multimodality Isointense Infant Brain Image Segmentation


Dec 10, 2018
Zhengyang Wang, Na Zou, Dinggang Shen, Shuiwang Ji

* 10 pages, 9 figures, 8 tables 

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ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions


Sep 05, 2018
Hongyang Gao, Zhengyang Wang, Shuiwang Ji

* 10 pages, NIPS18 

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Smoothed Dilated Convolutions for Improved Dense Prediction


Aug 27, 2018
Zhengyang Wang, Shuiwang Ji

* In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 2486-2495). 2018 
* Accepted by KDD2018. Code is publicly available at https://github.com/divelab/dilated 

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Large-Scale Learnable Graph Convolutional Networks


Aug 12, 2018
Hongyang Gao, Zhengyang Wang, Shuiwang Ji

* In Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (pp. 1416-1424). ACM (2018) 

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Learning Convolutional Text Representations for Visual Question Answering


Apr 18, 2018
Zhengyang Wang, Shuiwang Ji

* In proceedings of the 2018 SIAM International Conference on Data Mining (pp. 594-602). 2018 
* Conference paper at SDM 2018. https://github.com/divelab/svae 

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Pixel Deconvolutional Networks


Nov 27, 2017
Hongyang Gao, Hao Yuan, Zhengyang Wang, Shuiwang Ji

* 11 pages 

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Spatial Variational Auto-Encoding via Matrix-Variate Normal Distributions


May 18, 2017
Zhengyang Wang, Hao Yuan, Shuiwang Ji


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