Zi-Yi Dou

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Graham NeubigAssociate Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zhaopeng TuPrincipal Researcher, Tencent AI LabVerified email at tencent.com
Antonis AnastasopoulosAssistant Professor, George Mason UniversityVerified email at gmu.edu
Pengfei LiuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Xin WangMicrosoft Research, UC BerkeleyVerified email at berkeley.edu
Fisher YuETH ZurichVerified email at ethz.ch
Joseph E. GonzalezProfessor of Computer Science, UC BerkeleyVerified email at berkeley.edu
Junjie HuAssistant Professor, University of Wisconsin-MadisonVerified email at wisc.edu
Xinyi WangPhD student, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Zhengbao JiangCarnegie Mellon UniversityVerified email at cs.cmu.edu
Hiroaki HayashiSalesforce ResearchVerified email at salesforce.com
Yixin LiuYale UniversityVerified email at yale.edu
Nanyun (Violet) PengAssistant Professor, UCLAVerified email at cs.ucla.edu
Shujian HuangDepartment of Computer Science and Technology, Nanjing UniversityVerified email at nju.edu.cn
Yiran ChenFudan UniversityVerified email at fudan.edu.cn
Zhe GanPrincipal Researcher, MicrosoftVerified email at microsoft.com
Yichong XuSenior Researcher, Microsoft AI Cognitive ServicesVerified email at microsoft.com
Sachin KumarCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Yulia TsvetkovUniversity of WashingtonVerified email at cs.washington.edu
Hao ZhouInsititute for AI Industry Research, Tsinghua UniversityVerified email at air.tsinghua.edu.cn

Zi-Yi Dou

University of California, Los Angeles

Verified email at ucla.edu - Homepage

Natural Language Processing Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
SkipNet: Learning Dynamic Routing in Convolutional Networks X Wang, F Yu, ZY Dou, D Trevor, J Gonzalez ECCV 2018, 2017	364	2017
Capturing user and product Information for document level sentiment analysis with deep memory network ZY Dou EMNLP 2017, 2017	89	2017
compare-mt: A Tool for Holistic Comparison of Language Generation Systems G Neubig, ZY Dou, J Hu, P Michel, D Pruthi, X Wang NAACL 2019 Demo, 2019	80	2019
GSum: A general framework for guided neural abstractive summarization ZY Dou, P Liu, H Hayashi, Z Jiang, G Neubig NAACL 2021, 2021	67	2021
Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks ZY Dou, K Yu, A Anastasopoulos EMNLP 2019, 2019	67	2019
Exploiting Deep Representations for Neural Machine Translation ZY Dou, Z Tu, X Wang, S Shi, T Zhang EMNLP 2018, 2018	64	2018
Word Alignment by Fine-tuning Embeddings on Parallel Corpora ZY Dou, G Neubig EACL 2021, 2021	45	2021
Information Aggregation for Multi-Head Attention with Routing-by-Agreement J Li, B Yang, ZY Dou, X Wang, MR Lyu, Z Tu NAACL 2019, 2019	35	2019
Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement ZY Dou, Z Tu, X Wang, L Wang, S Shi, T Zhang AAAI 2019, 2019	35	2019
TICO-19: the Translation Initiative for COvid-19 A Anastasopoulos, A Cattelan, ZY Dou, M Federico, C Federman, ... EMNLP 2020 NLP-COVID, 2020	26	2020
Dynamic Data Selection and Weighting for Iterative Back-Translation ZY Dou, A Anastasopoulos, G Neubig EMNLP 2020, 2020	25	2020
Explainaboard: An explainable leaderboard for nlp P Liu, J Fu, Y Xiao, W Yuan, S Chang, J Dai, Y Liu, Z Ye, ZY Dou, ... ACL 2021 Demo, 2021	18	2021
Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings ZY Dou, J Hu, A Anastasopoulos, G Neubig EMNLP 2019, 2019	17	2019
Unsupervised Bilingual Lexicon Induction via Latent Variable Models ZY Dou, ZH Zhou, S Huang EMNLP 2018, 2018	16	2018
Exploiting deep representations for natural language processing ZY Dou, X Wang, S Shi, Z Tu Neurocomputing 386, 1-7, 2020	14	2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems Y Chen, P Liu, M Zhong, ZY Dou, D Wang, X Qiu, X Huang EMNLP 2020 Findings, 2020	13	2020
An Empirical Study of Training End-to-End Vision-and-Language Transformers ZY Dou, Y Xu, Z Gan, J Wang, S Wang, L Wang, C Zhu, N Peng, Z Liu, ... CVPR 2022, 2022	10	2022
RefSum: Refactoring Neural Summarization Y Liu, ZY Dou, P Liu NAACL 2021, 2021	10	2021
Domain Differential Adaptation for Neural Machine Translation ZY Dou, X Wang, J Hu, G Neubig EMNLP 2019 WNGT, 2019	6	2019
Metric learning-based generative adversarial network ZY Dou arXiv preprint arXiv:1711.02792, 2017	5	2017

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