b'Yingce Xia'

research

∙ 05/18/2023

MolXPT: Wrapping Molecules with Text for Generative Pre-training

Generative pre-trained Transformer (GPT) has demonstrates its great succ...

0 Zequn Liu, et al. ∙

research

∙ 05/12/2023

What are the Desired Characteristics of Calibration Sets? Identifying Correlates on Long Form Scientific Summarization

Summarization models often generate text that is poorly calibrated to qu...

0 Griffin Adams, et al. ∙

research

∙ 01/31/2023

Retrosynthetic Planning with Dual Value Networks

Retrosynthesis, which aims to find a route to synthesize a target molecu...

0 Guoqing Liu, et al. ∙

research

∙ 10/19/2022

BioGPT: Generative Pre-trained Transformer for Biomedical Text Generation and Mining

Pre-trained language models have attracted increasing attention in the b...

0 Renqian Luo, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 02/03/2022

Direct Molecular Conformation Generation

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

9 Jinhua Zhu, et al. ∙

research

∙ 10/29/2021

Pre-training Co-evolutionary Protein Representation via A Pairwise Masked Language Model

Understanding protein sequences is vital and urgent for biology, healthc...

0 Liang He, et al. ∙

research

∙ 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. ∙

research

∙ 06/17/2021

Dual-view Molecule Pre-training

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

0 Jinhua Zhu, et al. ∙

research

∙ 04/11/2021

UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost

Transformer architecture achieves great success in abundant natural lang...

0 Zhen Wu, et al. ∙

research

∙ 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. ∙

research

∙ 10/19/2020

COSEA: Convolutional Code Search with Layer-wise Attention

Semantic code search, which aims to retrieve code snippets relevant to a...

16 Hao Wang, et al. ∙

research

∙ 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. ∙

research

∙ 09/12/2020

DualLip: A System for Joint Lip Reading and Generation

Lip reading aims to recognize text from talking lip, while lip generatio...

0 Weicong Chen, et al. ∙

research

∙ 07/10/2020

Learn to Use Future Information in Simultaneous Translation

Simultaneous neural machine translation (briefly, NMT) has attracted muc...

0 Xueqing Wu, et al. ∙

research

∙ 07/09/2020

Learning to Teach with Deep Interactions

Machine teaching uses a meta/teacher model to guide the training of a st...

0 Yang Fan, et al. ∙

research

∙ 06/18/2020

Multi-branch Attentive Transformer

While the multi-branch architecture is one of the key ingredients to the...

0 Yang Fan, et al. ∙

research

∙ 05/17/2020

Dual Learning: Theoretical Study and an Algorithmic Extension

Dual learning has been successfully applied in many machine learning app...

0 Zhibing Zhao, et al. ∙

research

∙ 04/09/2020

TuiGAN: Learning Versatile Image-to-Image Translation with Two Unpaired Images

An unsupervised image-to-image translation (UI2I) task deals with learni...

7 Jianxin Lin, et al. ∙

research

∙ 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. ∙

research

∙ 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. ∙

research

∙ 08/25/2019

Efficient Bidirectional Neural Machine Translation

The encoder-decoder based neural machine translation usually generates a...

0 Xu Tan, et al. ∙

research

∙ 08/25/2019

Multilingual Neural Machine Translation with Language Clustering

Multilingual neural machine translation (NMT), which translates multiple...

0 Xu Tan, et al. ∙

research

∙ 07/03/2019

Depth Growing for Neural Machine Translation

While very deep neural networks have shown effectiveness for computer vi...

0 Lijun Wu, et al. ∙

research

∙ 06/01/2019

ZstGAN: An Adversarial Approach for Unsupervised Zero-Shot Image-to-Image Translation

Image-to-image translation models have shown remarkable ability on trans...

0 Jianxin Lin, et al. ∙

research

∙ 06/01/2019

Learning to Transfer: Unsupervised Meta Domain Translation

Unsupervised domain translation has recently achieved impressive perform...

0 Jianxin Lin, et al. ∙

research

∙ 05/29/2019

Image-to-Image Translation with Multi-Path Consistency Regularization

Image translation across different domains has attracted much attention ...

0 Jianxin Lin, et al. ∙

research

∙ 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. ∙

research

∙ 02/11/2019

Unpaired Image-to-Image Translation with Domain Supervision

Image-to-image translation has been widely investigated in recent years....

16 Jianxin Lin, et al. ∙

research

∙ 10/29/2018

Learning to Teach with Dynamic Loss Functions

Teaching is critical to human society: it is with teaching that prospect...

0 Lijun Wu, et al. ∙

research

∙ 05/25/2018

Finite Sample Analysis of LSTD with Random Projections and Eligibility Traces

Policy evaluation with linear function approximation is an important pro...

0 Haifang Li, et al. ∙

research

∙ 05/01/2018

Conditional Image-to-Image Translation

Image-to-image translation tasks have been widely investigated with Gene...

0 Jianxin Lin, et al. ∙

research

∙ 03/15/2018

Achieving Human Parity on Automatic Chinese to English News Translation

Machine translation has made rapid advances in recent years. Millions of...

0 Hany Hassan, et al. ∙

research

∙ 07/03/2017

Dual Supervised Learning

Many supervised learning tasks are emerged in dual forms, e.g., English-...

0 Yingce Xia, et al. ∙

research

∙ 04/20/2017

Adversarial Neural Machine Translation

In this paper, we study a new learning paradigm for Neural Machine Trans...

0 Lijun Wu, et al. ∙

research

∙ 11/01/2016

Dual Learning for Machine Translation

While neural machine translation (NMT) is making good progress in the pa...

0 Yingce Xia, et al. ∙

Yingce Xia

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