Zobrazeno 1 - 10
of 1 040
pro vyhledávání: '"Chen Mingqing"'
Publikováno v:
e-Polymers, Vol 20, Iss 1, Pp 361-368 (2020)
A facile method to prepare low-density polyethylene (LDPE)/polystyrene (PS) interpolymer resin particles by swelling suspension polymerization without addition of extra swelling agent was developed. The polymerization temperature, polymerization time
Externí odkaz:
https://doaj.org/article/6c336c01c03544a79f3ae1431e326712
Autor:
Zhou, Lillian, Ding, Yuxin, Chen, Mingqing, Zhang, Harry, Prabhavalkar, Rohit, Guliani, Dhruv, Motta, Giovanni, Mathews, Rajiv
Automatic speech recognition (ASR) models are typically trained on large datasets of transcribed speech. As language evolves and new terms come into use, these models can become outdated and stale. In the context of models trained on the server but d
Externí odkaz:
http://arxiv.org/abs/2310.00141
A robust nonconforming mixed finite element method is developed for a strain gradient elasticity (SGE) model. In two and three dimensional cases, a lower order $C^0$-continuous $H^2$-nonconforming finite element is constructed for the displacement fi
Externí odkaz:
http://arxiv.org/abs/2210.09552
Autor:
Ritchie, Sandy, Cheng, You-Chi, Chen, Mingqing, Mathews, Rajiv, van Esch, Daan, Li, Bo, Sim, Khe Chai
Almost none of the 2,000+ languages spoken in Africa have widely available automatic speech recognition systems, and the required data is also only available for a few languages. We have experimented with two techniques which may provide pathways to
Externí odkaz:
http://arxiv.org/abs/2208.03067
Autor:
Breiner, Theresa, Ramaswamy, Swaroop, Variani, Ehsan, Garg, Shefali, Mathews, Rajiv, Sim, Khe Chai, Gupta, Kilol, Chen, Mingqing, McConnaughey, Lara
Personalization of speech models on mobile devices (on-device personalization) is an active area of research, but more often than not, mobile devices have more text-only data than paired audio-text data. We explore training a personalized language mo
Externí odkaz:
http://arxiv.org/abs/2207.00706
Autor:
Yang, Tien-Ju, Xiao, Yonghui, Motta, Giovanni, Beaufays, Françoise, Mathews, Rajiv, Chen, Mingqing
This paper addresses the challenges of training large neural network models under federated learning settings: high on-device memory usage and communication cost. The proposed Online Model Compression (OMC) provides a framework that stores model para
Externí odkaz:
http://arxiv.org/abs/2205.03494
Autor:
Ro, Jae Hun, Breiner, Theresa, McConnaughey, Lara, Chen, Mingqing, Suresh, Ananda Theertha, Kumar, Shankar, Mathews, Rajiv
Most studies in cross-device federated learning focus on small models, due to the server-client communication and on-device computation bottlenecks. In this work, we leverage various techniques for mitigating these bottlenecks to train larger languag
Externí odkaz:
http://arxiv.org/abs/2204.09715
Capitalization normalization (truecasing) is the task of restoring the correct case (uppercase or lowercase) of noisy text. We propose a fast, accurate and compact two-level hierarchical word-and-character-based recurrent neural network model. We use
Externí odkaz:
http://arxiv.org/abs/2202.08171
Publikováno v:
Nanoscale Research Letters, Vol 4, Iss 4, Pp 341-343 (2009)
Abstract pH-sensitive micelles with hydrophilic core and hydrophilic corona were fabricated by self-assembling of triblock copolymer of poly(methylacrylic acid)-poly(ethylene glycol)-poly(methylacrylic acid) at lower solution pH. Transmission electro
Externí odkaz:
https://doaj.org/article/b92bb87aaabb4714814bdca49d243ca3
Autor:
Wang, Yi, Wang, Yangyang, Liu, Chang, Shi, Dongjian, Dong, Weifu, Peng, Baoliang, Dong, Liangliang, Chen, Mingqing
Publikováno v:
In Green Energy & Environment June 2024 9(6):1058-1067