Jinhua Zhu | DeepAI

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∙ 07/14/2022

Unified 2D and 3D Pre-Training of Molecular Representations

Molecular representation learning has attracted much attention recently....

0 Jinhua Zhu, et al. ∙

∙ 06/20/2022

SMT-DTA: Improving Drug-Target Affinity Prediction with Semi-supervised Multi-task Training

Drug-Target Affinity (DTA) prediction is an essential task for drug disc...

0 Qizhi Pei, et al. ∙

∙ 02/03/2022

Direct Molecular Conformation Generation

Molecular conformation generation aims to generate three-dimensional coo...

9 Jinhua Zhu, et al. ∙

∙ 09/27/2021

Discovering Drug-Target Interaction Knowledge from Biomedical Literature

The Interaction between Drugs and Targets (DTI) in human body plays a cr...

0 Yutai Hou, et al. ∙

∙ 06/17/2021

Dual-view Molecule Pre-training

Inspired by its success in natural language processing and computer visi...

0 Jinhua Zhu, et al. ∙

∙ 03/05/2021

IOT: Instance-wise Layer Reordering for Transformer Structures

With sequentially stacked self-attention, (optional) encoder-decoder att...

0 Jinhua Zhu, et al. ∙

∙ 02/22/2021

Return-Based Contrastive Representation Learning for Reinforcement Learning

Recently, various auxiliary tasks have been proposed to accelerate repre...

0 Guoqing Liu, et al. ∙

∙ 10/15/2020

Masked Contrastive Representation Learning for Reinforcement Learning

Improving sample efficiency is a key research problem in reinforcement l...

0 Jinhua Zhu, et al. ∙

∙ 02/17/2020

Incorporating BERT into Neural Machine Translation

The recently proposed BERT has shown great power on a variety of natural...

0 Jinhua Zhu, et al. ∙

∙ 11/07/2019

Microsoft Research Asia's Systems for WMT19

We Microsoft Research Asia made submissions to 11 language directions in...

0 Yingce Xia, et al. ∙

∙ 05/25/2019

Soft Contextual Data Augmentation for Neural Machine Translation

While data augmentation is an important trick to boost the accuracy of d...

0 Jinhua Zhu, et al. ∙

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