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Minwei Feng
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A structured self-attentive sentence embedding
Z Lin, M Feng, CN Santos, M Yu, B Xiang, B Zhou, Y Bengio
arXiv preprint arXiv:1703.03130, 2017
26442017
Applying deep learning to answer selection: A study and an open task
M Feng, B Xiang, MR Glass, L Wang, B Zhou
2015 IEEE workshop on automatic speech recognition and understanding (ASRU …, 2015
4412015
A structured self-attentive sentence embedding. arXiv 2017
Z Lin, M Feng, CN Santos, M Yu, B Xiang, B Zhou, Y Bengio
arXiv preprint arXiv:1703.03130, 2017
602017
Forecast of solar energy production-A deep learning approach
R Zhang, M Feng, W Zhang, S Lu, F Wang
2018 IEEE International Conference on Big Knowledge (ICBK), 73-82, 2018
522018
Efficient Hyper-parameter Optimization for NLP Applications
L Wang, M Feng, B Zhou, B Xiang, S Mahadevan
EMNLP2015, 2015
482015
Advancements in Reordering Models for Statistical Machine Translation
M Feng, JT Peter, H Ney
ACL 2013, 2013
212013
A source-side decoding sequence model for statistical machine translation
M Feng, A Mauser, H Ney
Proceedings of the 9th Conference of the Association for Machine Translation …, 2010
202010
Local multicast in single-host multi-GPU machine for distributed deep learning systems
M Feng, Y Ren, Y Wang, L Zhang, W Zhang
US Patent 10,614,356, 2020
192020
A structured self-attentive sentence embedding (2017)
Z Lin, M Feng, CN Dos Santos, M Yu, B Xiang, B Zhou, Y Bengio
arXiv preprint arXiv:1703.03130, 2017
192017
The RWTH Aachen Machine Translation Systems for IWSLT 2013
J Wuebker, S Peitz, T Alkhouli, JT Peter, M Feng, M Freitag, H Ney
IWSLT 2013, 2013
192013
The RWTH Aachen Machine Translation System for IWSLT 2011
J Wuebker, M Huck, S Mansour, M Freitag, M Feng, S Peitz, C Schmidt, ...
International Workshop on Spoken Language Translation, 106-113, 2011
192011
An efficient, distributed stochastic gradient descent algorithm for deep-learning applications
G Cong, O Bhardwaj, M Feng
2017 46th International Conference on Parallel Processing (ICPP), 11-20, 2017
172017
Gadei: On scale-up training as a service for deep learning
W Zhang, M Feng, Y Zheng, Y Ren, Y Wang, J Liu, P Liu, B Xiang, ...
2017 IEEE International Conference on Data Mining (ICDM), 1195-1200, 2017
142017
Semantic cohesion model for phrase-based SMT
M Feng, W Sun, H Ney
Proceedings of COLING 2012, 867-878, 2012
142012
Storage controller acceleration for neural network training and inference
M Feng, Y Ren, Y Wang, L Zhang, W Zhang
US Patent 11,138,494, 2021
122021
Hybrid aggregation for deep learning neural networks
M Feng, Y Ren, Y Wang, L Zhang, W Zhang
US Patent 10,783,437, 2020
122020
Local system voting feature for machine translation system combination
M Freitag, JT Peter, S Peitz, M Feng, H Ney
arXiv preprint arXiv:1702.03033, 2017
122017
The RWTH Aachen System for NTCIR-9 PatentMT
M Feng, C Schmidt, J Wuebker, S Peitz, M Freitag, H Ney
Proceedings of the NTCIR-9 Workshop, Tokyo, Japan, 2011
122011
Distributed deep learning for question answering
M Feng, B Xiang, B Zhou
Proceedings of the 25th ACM International on Conference on Information and …, 2016
112016
The RWTH Aachen Speech Recognition and Machine Translation System for IWSLT 2012
S Peitz, S Mansour, M Freitag, M Feng, M Huck, J Wuebker, M Nuhn, ...
Proceedings IWSLT 2012, 2012
112012
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