Zaixiang Zheng
Zaixiang Zheng
ByteDance Research
Подтвержден адрес электронной почты в домене bytedance.com - Главная страница
Towards Making the Most of Context in Neural Machine Translation
Z Zheng, X Yue, S Huang, J Chen, A Birch
IJCAI-PRICAI 2020, 2020
Vocabulary learning via optimal transport for neural machine translation
J Xu, H Zhou, C Gan, Z Zheng, L Li
ACL 2021 (best paper award), 2020
Modeling past and future for neural machine translation
Z Zheng, H Zhou, S Huang, L Mou, X Dai, J Chen, Z Tu
Transactions of the Association for Computational Linguistics (TACL) 6, 145-157, 2018
Structure-informed language models are protein designers
Z Zheng, Y Deng, D Xue, Y Zhou, F Ye, Q Gu
ICML 2023 (oral), 2023
Neural machine translation with word predictions
R Weng, S Huang, Z Zheng, X Dai, J Chen
EMNLP 2017, 2017
Mirror-Generative Neural Machine Translation
Z Zheng, H Zhou, S Huang, L Li, XY Dai, J Chen
ICLR 2020 (oral), 2019
Dynamic past and future for neural machine translation
Z Zheng, S Huang, Z Tu, XY Dai, J Chen
EMNLP-IJCNLP 2019, 2019
Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
P Wu, S Huang, R Weng, Z Zheng, J Zhang, X Yan, J Chen
ACL 2019, 2019
Directqe: Direct pretraining for machine translation quality estimation
Q Cui, S Huang, J Li, X Geng, Z Zheng, G Huang, J Chen
AAAI 2021, 2021
DINOISER: Diffused Conditional Sequence Learning by Manipulating Noises
J Ye, Z Zheng, Y Bao, L Qian, M Wang
arXiv preprint arXiv:2302.10025, 2023
The volctrans glat system: Non-autoregressive translation meets wmt21
L Qian, Y Zhou, Z Zheng, Y Zhu, Z Lin, J Feng, S Cheng, L Li, M Wang, ...
WMT 2021, 2021
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation
Z Zheng, H Zhou, S Huang, J Chen, J Xu, L Li
NeurIPS 2021, 2021
Improving self-attention networks with sequential relations
Z Zheng, S Huang, R Weng, XY Dai, J Chen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1707-1716, 2020
Learning to discriminate noises for incorporating external information in neural machine translation
Z Zheng, S Huang, Z Sun, R Weng, XY Dai, J Chen
arXiv preprint arXiv:1810.10317, 2018
Antigen-Specific Antibody Design via Direct Energy-based Preference Optimization
X Zhou, D Xue, R Chen, Z Zheng, L Wang, Q Gu
arXiv preprint arXiv:2403.16576, 2024
Diffusion language models can perform many tasks with scaling and instruction-finetuning
J Ye, Z Zheng, Y Bao, L Qian, Q Gu
arXiv preprint arXiv:2308.12219, 2023
Helping the Weak Makes You Strong: Simple Multi-Task Learning Improves Non-Autoregressive Translators
X Wang, Z Zheng, S Huang
EMNLP 2022, 2022
RPD: A Distance Function Between Word Embeddings
X Zhou, Z Zheng, S Huang
ACL Student Research Workshop, 2020
Diffusion Language Models Are Versatile Protein Learners
X Wang, Z Zheng, F Ye, D Xue, S Huang, Q Gu
arXiv preprint arXiv:2402.18567, 2024
Deep Equilibrium Non-Autoregressive Sequence Learning
Z Zheng, Y Zhou, H Zhou
Findings of the Association for Computational Linguistics: ACL 2023, 11763-11781, 2023
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