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Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning



Ling Yang , Shenda Hong

* Accepted by ICML 2022 

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Cross Reconstruction Transformer for Self-Supervised Time Series Representation Learning



Wenrui Zhang , Ling Yang , Shijia Geng , Shenda Hong


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Spatial Autoregressive Coding for Graph Neural Recommendation



Jiayi Zheng , Ling Yang , Heyuan Wang , Cheng Yang , Yinghong Li , Xiaowei Hu , Shenda Hong

* preprint 

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Iterative Bilinear Temporal-Spectral Fusion for Unsupervised Time-Series Representation Learning



Ling Yang , Shenda Hong , Luxia Zhang


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Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion



Ling Yang , Shenda Hong , Luxia Zhang


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Spectral Propagation Graph Network for Few-shot Time Series Classification



Ling Yang , Shenda Hong , Luxia Zhang


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DPGN: Distribution Propagation Graph Network for Few-shot Learning



Ling Yang , Liangliang Li , Zilun Zhang , Xinyu Zhou , Erjin Zhou , Yu Liu

* Accepted by CVPR 2020 

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DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction



Yeqi Liu , Chuanyang Gong , Ling Yang , Yingyi Chen

* 6 figures 

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