24 citations · 41 across the 10 of their papers we have counts for
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cs.LG2020★ 24 cited
Learn molecular representations from large-scale unlabeled molecules for drug discovery
Pengyong Li, Jun Wang, Yixuan Qiao +6
How to produce expressive molecular representations is a fundamental challenge in AI-driven drug discovery. Graph neural network (GNN) has emerged as a powerful technique for model…
cs.CV2020★ 12 cited
Semi-supervised Active Learning for Instance Segmentation via Scoring Predictions
Jun Wang, Shaoguo Wen, Kaixing Chen +5
Active learning generally involves querying the most representative samples for human labeling, which has been widely studied in many fields such as image classification and object…
cs.CV2020
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification
Changsheng Li, Chong Liu, Lixin Duan +2
In this paper, we present a novel deep metric learning method to tackle the multi-label image classification problem. In order to better learn the correlations among images feature…