Get our free extension to see links to code for papers anywhere online!

Add to Chrome

Add to Firefox

Picture for Yuyang Gao

Yuyang Gao

Saliency-Augmented Memory Completion for Continual Learning

Dec 26, 2022
Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao

Figure 1 for Saliency-Augmented Memory Completion for Continual Learning

Figure 2 for Saliency-Augmented Memory Completion for Continual Learning

Figure 3 for Saliency-Augmented Memory Completion for Continual Learning

Figure 4 for Saliency-Augmented Memory Completion for Continual Learning

* Published at SIAM SDM 2023. 15 pages, 6 figures. Code: https://github.com/BaiTheBest/SAMC

Access Paper or Ask Questions

RES: A Robust Framework for Guiding Visual Explanation

Jun 27, 2022
Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao

Figure 1 for RES: A Robust Framework for Guiding Visual Explanation

Figure 2 for RES: A Robust Framework for Guiding Visual Explanation

Figure 3 for RES: A Robust Framework for Guiding Visual Explanation

Figure 4 for RES: A Robust Framework for Guiding Visual Explanation

* In Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '22), August 14-18, 2022, Washington, DC, USA
* Published in KDD 2022

Access Paper or Ask Questions

Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning

May 05, 2021
Yuyang Gao, Giorgio A. Ascoli, Liang Zhao

Figure 1 for Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning

Figure 2 for Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning

Figure 3 for Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning

Figure 4 for Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning

* Under review at Neural Networks - Special Issue on AI and Brain Science

Access Paper or Ask Questions

BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization

Sep 27, 2019
Yuyang Gao, Giorgio Ascoli, Liang Zhao

Figure 1 for BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization

Figure 2 for BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization

Figure 3 for BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization

Figure 4 for BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization

* Under review as a conference paper at ICLR 2020

Access Paper or Ask Questions

DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums

Aug 22, 2019
Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao

Figure 1 for DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums

Figure 2 for DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums

Figure 3 for DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums

Figure 4 for DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums

* 6 pages. Accepted as ICDM 2019 Short Paper. Final Version

Access Paper or Ask Questions