Zi-Yi Dou

Publications

2023

Liunian Harold Li*, Zi-Yi Dou*, Nanyun Peng and Kai-Wei Chang, DesCo: Learning Object Recognition with Rich Language Descriptions, Conference on Neural Information Processing Systems (NeurIPS), 2023.
CVPR 2023 OmniLabel Challenge Winner (1st place)

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 and Jianfeng Gao, Generalized Decoding for Pixel, Image, and Language, Conference on Computer Vision and Pattern Recognition (CVPR), 2023.

2022

Zi-Yi Dou*, Aishwarya Kamath*, Zhe Gan*, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao and Lijuan Wang, Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone, Conference on Neural Information Processing Systems (NeurIPS), 2022.
Zi-Yi Dou and Nanyun Peng, FOAM: A Follower-aware Speaker Model for Vision-and-Language Navigation, Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2022.
Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Nanyun Peng, Zicheng Liu and Michael Zeng, An Empirical Study of Training End-to-End Vision-and-Language Transformers, Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Zi-Yi Dou and Nanyun Peng, Zero-shot Commonsense Question Answering with Cloze Translation and Consistency Optimization, AAAI Conference on Artificial Intelligence (AAAI), 2022.

2021

Zi-Yi Dou and Nanyun Peng, Improving Pre-trained Vision-and-Language Embeddings for Phrase Grounding, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021.
Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaicheng Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Zi-Yi Dou and Graham Neubig, Explainaboard: An Explainable Leaderboard for NLP, Conference of the Association for Computational Linguistics (ACL) Demonstrations, 2021.
Zi-Yi Dou and Graham Neubig, Word Alignment by Fine-tuning Embeddings on Parallel Corpora, Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021.
Zi-Yi Dou, Pengfei Liu, Hiroaki Hayashi, Zhengbao Jiang and Graham Neubig, GSum: A General Framework for Guided Neural Abstractive Summarization, Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
Yixin Liu, Zi-Yi Dou, and Pengfei Liu, RefSum: Refactoring Neural Summarization, Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2021.
Zi-Yi Dou, Anamika Barman-Adhikari, Fei Fang and Amulya Yadav, Harnessing Social Media to Identify Homeless Youth At-Risk of Substance Use, AAAI Conference on Artificial Intelligence (AAAI), 2021.

2020

Zi-Yi Dou, Antonios Anastasopoulos and Graham Neubig, Dynamic Data Selection and Weighting for Iterative Back-Translation, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020.
Yiran Chen, Pengfei Liu, Ming Zhong, Zi-Yi Dou, Danqing Wang, Xipeng Qiu and Xuanjing Huang, CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems, Conference on Empirical Methods in Natural Language Processing (EMNLP) Findings, 2020.
Antonios Anastasopoulos, Alessandro Cattelan, Zi-Yi Dou, Marcello Federico, Christian Federman, Dmitriy Genzel, Francisco Guzmán, Junjie Hu, Macduff Hughes, Philipp Koehn, Rosie Lazar, Will Lewis, Graham Neubig, Mengmeng Niu, Alp Öktem, Eric Paquin, Grace Tang and Sylwia Tur, TICO-19: the Translation Initiative for COvid-19, EMNLP Workshop on NLP-COVID, 2020.
Zi-Yi Dou, Sachin Kumar and Yulia Tsvetkov, A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards, ACL Workshop on Neural Generation and Translation, 2020.

2019

Zi-Yi Dou, Junjie Hu, Antonios Anastasopoulos and Graham Neubig, Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
Zi-Yi Dou, Keyi Yu and Antonios Anastasopoulos, Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019.
Zi-Yi Dou, Xinyi Wang, Junjie Hu and Graham Neubig, Domain Differential Adaptation for Neural Machine Translation, EMNLP Workshop on Neural Generation and Translation, 2019.
Graham Neubig, Zi-Yi Dou, Junjie Hu, Paul Michel, Danish Pruthi, Xinyi Wang and John Wieting, compare-mt: A Tool for Holistic Comparison of Language Generation Systems, Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
Best Demo Runner-up
Jian Li, Baosong Yang, Zi-Yi Dou, Xing Wang, Michael R. Lyu and Zhaopeng Tu, Information Aggregation for Multi-Head Attention, Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), 2019.
Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Longyue Wang, Shuming Shi and Tong Zhang, Dynamic Layer Aggregation for Neural Machine Translation with Routing-by-Agreement, AAAI Conference on Artificial Intelligence (AAAI), 2019.

2018

Zi-Yi Dou, Zhaopeng Tu, Xing Wang, Shuming Shi and Tong Zhang, Exploiting Deep Representations for Neural Machine Translation, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018
Zi-Yi Dou, Zhi-Hao Zhou and Shujian Huang, Unsupervised Bilingual Lexicon Induction via Latent Variable Models, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018.
Xin Wang, Fisher Yu, Zi-Yi Dou, Trevor Darrel and Joseph E. Gonzalez, SkipNet: Learning Dynamic Routing in Convolutional Networks, European Conference on Computer Vision (ECCV), 2018.

2017

Zi-Yi Dou, Capturing User and Product Information for Document-Level Sentiment Analysis with Deep Memory Networks, Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017.

Ph.D. Student in Computer Science. University of California, Los Angeles. Aug. 2021 - Present
Ph.D. Student in Computer Science (Transferred). University of Southern California. Aug. 2020 - Aug. 2021
M.S. in Language Technologies. Carnegie Mellon University. Aug. 2018 - Aug. 2020
B.S. in Computer Science, Minor in Statistics. Nanjing University. Sep. 2014 - Jul. 2018

Reviewer for ACL, EMNLP, NAACL, ACL Rolling Review, ICML, NeurIPS, ICLR, CVPR, ICCV, AAAI