24 citations · 83 across the 20 of their papers we have counts for
4 papers · 1 filter
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…
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…
AutoRC: Improving BERT Based Relation Classification Models via Architecture Search
Wei Zhu, Xipeng Qiu, Yuan Ni +1
Although BERT based relation classification (RC) models have achieved significant improvements over the traditional deep learning models, it seems that no consensus can be reached…
AutoTrans: Automating Transformer Design via Reinforced Architecture Search
Wei Zhu, Xiaoling Wang, Xipeng Qiu +2
Though the transformer architectures have shown dominance in many natural language understanding tasks, there are still unsolved issues for the training of transformer models, espe…