Zi-Yi Dou

According to our database, Zi-Yi Dou authored at least 35 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning.

Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng

CoRR, 2023

DesCo: Learning Object Recognition with Rich Language Descriptions.

Liunian Harold Li, Zi-Yi Dou, Nanyun Peng, Kai-Wei Chang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ACQUIRED: A Dataset for Answering Counterfactual Questions In Real-Life Videos.

Te-Lin Wu, Zi-Yi Dou, Qingyuan Hu, Yu Hou, Nischal Reddy Chandra, Marjorie Freedman, Ralph M. Weischedel, Nanyun Peng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Gender Biases in Automatic Evaluation Metrics for Image Captioning.

Haoyi Qiu, Zi-Yi Dou, Tianlu Wang, Asli Celikyilmaz, Nanyun Peng

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Masked Path Modeling for Vision-and-Language Navigation.

Zi-Yi Dou, Feng Gao, Nanyun Peng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generalized Decoding for Pixel, Image, and Language.

Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone.

Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

FOAM: A Follower-aware Speaker Model For Vision-and-Language Navigation.

Zi-Yi Dou, Nanyun Peng

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

An Empirical Study of Training End-to-End Vision-and-Language Transformers.

Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Zero-Shot Commonsense Question Answering with Cloze Translation and Consistency Optimization.

Zi-Yi Dou, Nanyun Peng

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

RefSum: Refactoring Neural Summarization.

Yixin Liu, Zi-Yi Dou, Pengfei Liu

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

GSum: A General Framework for Guided Neural Abstractive Summarization.

Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang, Graham Neubig

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding.

Zi-Yi Dou, Nanyun Peng

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Word Alignment by Fine-tuning Embeddings on Parallel Corpora.

Zi-Yi Dou, Graham Neubig

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use.

Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang, Amulya Yadav

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Exploiting deep representations for natural language processing.

Zi-Yi Dou, Xing Wang, Shuming Shi, Zhaopeng Tu

Neurocomputing, 2020

CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.

Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang

CoRR, 2020

Dynamic Data Selection and Weighting for Iterative Back-Translation.

Zi-Yi Dou, Antonios Anastasopoulos, Graham Neubig

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems.

Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu, Xuanjing Huang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

TICO-19: the Translation Initiative for COvid-19.

Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federmann, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, William Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang, Sylwia Tur

Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards.

Zi-Yi Dou, Sachin Kumar, Yulia Tsvetkov

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

2019

compare-mt: A Tool for Holistic Comparison of Language Generation Systems.

Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Information Aggregation for Multi-Head Attention with Routing-by-Agreement.

Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu, Zhaopeng Tu

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks.

Zi-Yi Dou, Keyi Yu, Antonios Anastasopoulos

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Domain Differential Adaptation for Neural Machine Translation.

Zi-Yi Dou, Xinyi Wang, Junjie Hu, Graham Neubig

Proceedings of the 3rd Workshop on Neural Generation and Translation@EMNLP-IJCNLP 2019, 2019

Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings.

Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos, Graham Neubig

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement.

Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi, Tong Zhang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Dynamic Oracle for Neural Machine Translation in Decoding Phase.

Zi-Yi Dou, Hao Zhou, Shujian Huang, Xin-Yu Dai, Jiajun Chen

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

Unsupervised Bilingual Lexicon Induction via Latent Variable Models.

Zi-Yi Dou, Zhi-Hao Zhou, Shujian Huang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Exploiting Deep Representations for Neural Machine Translation.

Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi, Tong Zhang

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

SkipNet: Learning Dynamic Routing in Convolutional Networks.

Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrell, Joseph E. Gonzalez

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

SkipNet: Learning Dynamic Routing in Convolutional Networks.

Xin Wang, Fisher Yu, Zi-Yi Dou, Joseph E. Gonzalez

CoRR, 2017

Metric Learning-based Generative Adversarial Network.

Zi-Yi Dou

CoRR, 2017

Compressing Neural Networks by Applying Frequent Item-Set Mining.

Zi-Yi Dou, Shujian Huang, Yi-Fan Su

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network.

Zi-Yi Dou

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017