Yong Cheng | DeepAI

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Featured Co-authors

Wei Wang
492 publications
Yu Zhang
406 publications
Yang Liu
344 publications
Wei Xu
242 publications
Ming Li
199 publications
Maosong Sun
159 publications
Di Wang
126 publications
Fandong Meng
114 publications
Hua Wu
104 publications
Qiang Yang
103 publications
Hao Cheng
85 publications

∙ 12/19/2022

Mu^2SLAM: Multitask, Multilingual Speech and Language Models

We present Mu^2SLAM, a multilingual sequence-to-sequence model pre-train...

0 Yong Cheng, et al. ∙

∙ 08/24/2022

Mastering Autonomous Assembly in Fusion Application with Learning-by-doing: a Peg-in-hole Study

Robotic peg-in-hole assembly is an essential task in robotic automation ...

0 Ruochen Yin, et al. ∙

∙ 06/16/2022

BlindFL: Vertical Federated Machine Learning without Peeking into Your Data

Due to the rising concerns on privacy protection, how to build machine l...

0 Fangcheng Fu, et al. ∙

∙ 05/31/2022

Semi-Supervised Cross-Silo Advertising with Partial Knowledge Transfer

As an emerging secure learning paradigm in leveraging cross-agency priva...

0 Wenjie Li, et al. ∙

∙ 03/15/2022

Multilingual Mix: Example Interpolation Improves Multilingual Neural Machine Translation

Multilingual neural machine translation models are trained to maximize t...

2 Yong Cheng, et al. ∙

∙ 02/03/2022

mSLAM: Massively multilingual joint pre-training for speech and text

We present mSLAM, a multilingual Speech and LAnguage Model that learns c...

0 Ankur Bapna, et al. ∙

∙ 02/01/2022

Examining Scaling and Transfer of Language Model Architectures for Machine Translation

Natural language understanding and generation models follow one of the t...

7 Biao Zhang, et al. ∙

∙ 06/08/2021

Self-supervised and Supervised Joint Training for Resource-rich Machine Translation

Self-supervised pre-training of text representations has been successful...

0 Yong Cheng, et al. ∙

∙ 06/21/2020

AdvAug: Robust Adversarial Augmentation for Neural Machine Translation

In this paper, we propose a new adversarial augmentation method for Neur...

0 Yong Cheng, et al. ∙

∙ 02/01/2020

Learning to Detect Malicious Clients for Robust Federated Learning

Federated learning systems are vulnerable to attacks from malicious clie...

1 Suyi Li, et al. ∙

∙ 12/24/2019

A Communication Efficient Vertical Federated Learning Framework

One critical challenge for applying today's Artificial Intelligence (AI)...

23 Yang Liu, et al. ∙

∙ 10/22/2019

Abnormal Client Behavior Detection in Federated Learning

In federated learning systems, clients are autonomous in that their beha...

1 Suyi Li, et al. ∙

∙ 06/06/2019

Robust Neural Machine Translation with Doubly Adversarial Inputs

Neural machine translation (NMT) often suffers from the vulnerability to...

0 Yong Cheng, et al. ∙

∙ 06/29/2018

Neural Machine Translation with Key-Value Memory-Augmented Attention

Although attention-based Neural Machine Translation (NMT) has achieved r...

0 Fandong Meng, et al. ∙

∙ 05/16/2018

Towards Robust Neural Machine Translation

Small perturbations in the input can severely distort intermediate repre...

0 Yong Cheng, et al. ∙

∙ 06/20/2017

THUMT: An Open Source Toolkit for Neural Machine Translation

This paper introduces THUMT, an open-source toolkit for neural machine t...

0 Jiacheng Zhang, et al. ∙

∙ 05/02/2017

A Teacher-Student Framework for Zero-Resource Neural Machine Translation

While end-to-end neural machine translation (NMT) has made remarkable pr...

0 Yun Chen, et al. ∙

∙ 11/15/2016

Neural Machine Translation with Pivot Languages

While recent neural machine translation approaches have delivered state-...

0 Yong Cheng, et al. ∙

∙ 06/15/2016

Semi-Supervised Learning for Neural Machine Translation

While end-to-end neural machine translation (NMT) has made remarkable pr...

0 Yong Cheng, et al. ∙

∙ 12/15/2015

Agreement-based Joint Training for Bidirectional Attention-based Neural Machine Translation

The attentional mechanism has proven to be effective in improving end-to...

0 Yong Cheng, et al. ∙

∙ 12/08/2015

Minimum Risk Training for Neural Machine Translation

We propose minimum risk training for end-to-end neural machine translati...

0 Shiqi Shen, et al. ∙

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