activity
20192022
most citedSimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Triangular Transfer: Freezing the Pivot for Triangular Machine Translation

Meng Zhang, Liangyou Li, Qun Liu

Triangular machine translation is a special case of low-resource machine translation where the language pair of interest has limited parallel data, but both languages have abundant…

cs.CL2021

Uncertainty-Aware Balancing for Multilingual and Multi-Domain Neural Machine Translation Training

Minghao Wu, Yitong Li, Meng Zhang +3

Learning multilingual and multi-domain translation model is challenging as the heterogeneous and imbalanced data make the model converge inconsistently over different corpora in re…

cs.CV20212 cited

SimulLR: Simultaneous Lip Reading Transducer with Attention-Guided Adaptive Memory

Zhijie Lin, Zhou Zhao, Haoyuan Li +4

Lip reading, aiming to recognize spoken sentences according to the given video of lip movements without relying on the audio stream, has attracted great interest due to its applica…

cs.CL2020

Learning to Detect Unacceptable Machine Translations for Downstream Tasks

Meng Zhang, Xin Jiang, Yang Liu +1

The field of machine translation has progressed tremendously in recent years. Even though the translation quality has improved significantly, current systems are still unable to pr…

cs.CL2019

Word-level Textual Adversarial Attacking as Combinatorial Optimization

Yuan Zang, Fanchao Qi, Chenghao Yang +4

Adversarial attacks are carried out to reveal the vulnerability of deep neural networks. Textual adversarial attacking is challenging because text is discrete and a small perturbat…