Mia Xu Chen

According to our database, Mia Xu Chen authored at least 18 papers between 2013 and 2022.

Collaborative distances:

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

2022

Building Machine Translation Systems for the Next Thousand Languages.

Ankur Bapna, Isaac Caswell, Julia Kreutzer, Orhan Firat, Daan van Esch, Aditya Siddhant, Mengmeng Niu, Pallavi Baljekar, Xavier Garcia, Wolfgang Macherey, Theresa Breiner, Vera Axelrod, Jason Riesa, Yuan Cao, Mia Xu Chen, Klaus Macherey, Maxim Krikun, Pidong Wang, Alexander Gutkin, Apurva Shah, Yanping Huang, Zhifeng Chen, Yonghui Wu, Macduff Hughes

CoRR, 2022

Towards the Next 1000 Languages in Multilingual Machine Translation: Exploring the Synergy Between Supervised and Self-Supervised Learning.

Aditya Siddhant, Ankur Bapna, Orhan Firat, Yuan Cao, Mia Xu Chen, Isaac Caswell, Xavier Garcia

CoRR, 2022

2020

Rapid Domain Adaptation for Machine Translation with Monolingual Data.

Mahdis Mahdieh, Mia Xu Chen, Yuan Cao, Orhan Firat

CoRR, 2020

Towards End-to-End In-Image Neural Machine Translation.

Elman Mansimov, Mitchell Stern, Mia Xu Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain

CoRR, 2020

Faster Transformer Decoding: N-gram Masked Self-Attention.

Ciprian Chelba, Mia Xu Chen, Ankur Bapna, Noam Shazeer

CoRR, 2020

Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation.

Aditya Siddhant, Ankur Bapna, Yuan Cao, Orhan Firat, Mia Xu Chen, Sneha Reddy Kudugunta, Naveen Arivazhagan, Yonghui Wu

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Massively Multilingual Neural Machine Translation in the Wild: Findings and Challenges.

Naveen Arivazhagan, Ankur Bapna, Orhan Firat, Dmitry Lepikhin, Melvin Johnson, Maxim Krikun, Mia Xu Chen, Yuan Cao, George F. Foster, Colin Cherry, Wolfgang Macherey, Zhifeng Chen, Yonghui Wu

CoRR, 2019

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling.

Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon

CoRR, 2019

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.

Yanping Huang, Youlong Cheng, Ankur Bapna, Orhan Firat, Dehao Chen, Mia Xu Chen, HyoukJoong Lee, Jiquan Ngiam, Quoc V. Le, Yonghui Wu, Zhifeng Chen

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Gmail Smart Compose: Real-Time Assisted Writing.

Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, Yonghui Wu

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.

Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Niki Parmar, Mike Schuster, Zhifeng Chen, Yonghui Wu, Macduff Hughes

CoRR, 2018

Training Deeper Neural Machine Translation Models with Transparent Attention.

Ankur Bapna, Mia Xu Chen, Orhan Firat, Yuan Cao, Yonghui Wu

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

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation.

Mia Xu Chen, Orhan Firat, Ankur Bapna, Melvin Johnson, Wolfgang Macherey, George F. Foster, Llion Jones, Mike Schuster, Noam Shazeer, Niki Parmar, Ashish Vaswani, Jakob Uszkoreit, Lukasz Kaiser, Zhifeng Chen, Yonghui Wu, Macduff Hughes

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

Feedback-Controlled Sequential Lasso Screening.

Yun Wang, Xu Chen, Peter J. Ramadge

CoRR, 2016

2015

Learning with Sparsity and Scattering Networks

Mia Xu Chen

PhD thesis, 2015

2014

Collaborative representation, sparsity or nonlinearity: What is key to dictionary based classification?

Xu Chen, Peter J. Ramadge

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Sparse representation classification via sequential Lasso screening.

Yun Wang, Xu Chen, Peter J. Ramadge

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Music genre classification using multiscale scattering and sparse representations.

Xu Chen, Peter J. Ramadge

Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013