Bo Yu
5 Papers
Bo Yu is an academic researcher. The author has contributed to research in topics: Matrix (chemical analysis) & Computation. The author has co-authored 4 publications.
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Papers
SeamlessM4T-Massively Multilingual & Multimodal Machine Translation
Seamless Communication,Loïc Barrault,Yu-An Chung,Mariano Cora Meglioli,David Dale,Ning Dong,Paul-Ambroise Duquenne,Hady Elsahar,Hongyu Gong,Kevin Heffernan,John Hoffman,Christopher Klaiber,Peng Li,Daniel Licht,Jean Maillard,Alice Rakotoarison,Kaushik Ram Sadagopan,Guillaume Wenzek,Ethan Ye,Bapi Akula,Peng Chen,Naji El Hachem,Brian Ellis,Gabriel Mejia Gonzalez,Justin Haaheim,Prangthip Hansanti,Russell Howes,Bernie Huang,Min-Jae Hwang,Hirofumi Inaguma,Somya Jain,Elahe Kalbassi,A. Kallet,Ilia R. Kulikov,Janice Si-Man Lam,Shang-Wen Li,Xutai Ma,R. Mavlyutov,Benjamin N. Peloquin,M.L. Ramadan,Abinesh Ramakrishnan,Anna Sun,Ke M. Tran,Tuan Q Tran,I. Tufanov,Vish Vogeti,Carleigh Wood,Yilin Yang,Bo Yu,Pierre Andrews,Can Balioglu,Marta R. Costa-jussà,Onur Celebi,Maha Elbayad,Cynthia Gao,Francisco Guzm'an,Justine T. Kao,Ann Lee,Alexandre Mourachko,Juan Pino,Sravya Popuri,Christophe Ropers,Safiyyah Saleem,Holger Schwenk,Paden Tomasello,Chang Wang,Jeff Wang,Skyler Wang +67 more
TL;DR: The first multilingual system capable of translating from and into English for both speech and text, SeamlessM4T is developed, which sets a new standard for translations into multiple target languages and is evaluated on gender bias and added toxicity to assess translation safety.
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Factorized squared Smith method for large-scale Stein equations with high-rank terms
Bo Yu,Ning Dong,Qiong Tang +2 more
TL;DR: In this paper , a factorized squared Smith method (FSS) is proposed to solve large-scale Stein equations with high-ranked coefficient and constant terms, where the solution is no longer numerically low-ranked and its storage and outputting are nontrivial.
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Structured Doubling Algorithm for a Class of Large-Scale Discrete-Time Algebraic Riccati Equations with High-Ranked Constant Term
Bo Yu,Chengxu Jiang,Ning Dong +2 more
TL;DR: In this article , a structured doubling algorithm for large-scale algebraic Riccati equations with low-rank coefficient matrix G and high-rank constant matrix H has been proposed.
Factorized Doubling Algorithm for Large-Scale High-Ranked Riccati Equations in Fractional System
TL;DR: In this paper , a factorized structure-preserving doubling algorithm (FSDA) is developed under the assumptions that the non-linear and constant terms are positive semidefinite and banded-plus-low-rank.
Doubling Smith Method for a Class of Large-Scale Generalized Fractional Diffusion Equations
TL;DR: In this article , the implicit difference approach is used to discretize a class of generalized fractional diffusion equations into a series of linear equations, and a low-ranked doubling Smith method with determined optimally iterative parameters is presented for solving the corresponding matrix equation.