Music genre classification using multiscale scattering and sparse representations. - Xu Chen 027; Peter J. Ramadge (CISS, 2013)

Sparse representation classification via sequential Lasso screening. - Yun Wang; Xu Chen 027; Peter J. Ramadge (GlobalSIP, 2013)

Collaborative representation, sparsity or nonlinearity: What is key to dictionary based classification? - Xu Chen 027; Peter J. Ramadge (ICASSP, 2014)

Learning with Sparsity and Scattering Networks - Mia Xu Chen (2015)

Feedback-Controlled Sequential Lasso Screening. - Yun Wang; Xu Chen 027; Peter J. Ramadge (CoRR, 2016)

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; et al. (ACL (1), 2018)

Training Deeper Neural Machine Translation Models with Transparent Attention. - Ankur Bapna; Mia Xu Chen; Orhan Firat; Yuan Cao 007; Yonghui Wu (EMNLP, 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)

Gmail Smart Compose: Real-Time Assisted Writing. - Mia Xu Chen; Benjamin N. Lee; Gagan Bansal; Yuan Cao 007; Shuyuan Zhang 002; Justin Lu; Jackie Tsay; Yinan Wang; Andrew M. Dai; Zhifeng Chen; Timothy Sohn; Yonghui Wu (KDD, 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 (NeurIPS, 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 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 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 007; George F. Foster; Colin Cherry; Wolfgang Macherey; Zhifeng Chen; et al. (CoRR, 2019)

Leveraging Monolingual Data with Self-Supervision for Multilingual Neural Machine Translation. - Aditya Siddhant; Ankur Bapna; Yuan Cao 007; Orhan Firat; Mia Xu Chen; Sneha Reddy Kudugunta; Naveen Arivazhagan; Yonghui Wu (ACL, 2020)

Faster Transformer Decoding: N-gram Masked Self-Attention. - Ciprian Chelba; Mia Xu Chen; Ankur Bapna; Noam Shazeer (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)

Rapid Domain Adaptation for Machine Translation with Monolingual Data. - Mahdis Mahdieh; Mia Xu Chen; Yuan Cao 007; Orhan Firat (CoRR, 2020)

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 007; Mia Xu Chen; Isaac Caswell; Xavier Garcia (CoRR, 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; et al. (CoRR, 2022)