Minwei Feng

According to our database, Minwei Feng authored at least 26 papers between 2008 and 2023.

Collaborative distances:

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

2023

CTC Blank Triggered Dynamic Layer-Skipping for Efficient Ctc-Based Speech Recognition.

Junfeng Hou, Peiyao Wang, Jincheng Zhang, Meng Yang, Minwei Feng, Jingcheng Yin

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator.

Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Context Enhanced and Data Augmented $\mathrm W^{2}NER$ System for Named Entity Recognition.

Chunping Ma, Zijun Xu, Minwei Feng, Jingcheng Yin, Liang Ruan, Hejian Su

Proceedings of the Natural Language Processing and Chinese Computing, 2022

2018

Forecast of Solar Energy Production - A Deep Learning Approach.

Rui Zhang, Minwei Feng, Wei Zhang, Siyuan Lu, Fei Wang

Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

2017

An Efficient, Distributed Stochastic Gradient Descent Algorithm for Deep-Learning Applications.

Guojing Cong, Onkar Bhardwaj, Minwei Feng

Proceedings of the 46th International Conference on Parallel Processing, 2017

A Structured Self-Attentive Sentence Embedding.

Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio

Proceedings of the 5th International Conference on Learning Representations, 2017

GaDei: On Scale-Up Training as a Service for Deep Learning.

Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

GaDei: On Scale-up Training As A Service For Deep Learning.

Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou

CoRR, 2016

Distributed Deep Learning for Question Answering.

Minwei Feng, Bing Xiang, Bowen Zhou

Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015

Distributed Deep Learning for Answer Selection.

Minwei Feng, Bing Xiang, Bowen Zhou

CoRR, 2015

Local System Voting Feature for Machine Translation System Combination.

Markus Freitag, Jan-Thorsten Peter, Stephan Peitz, Minwei Feng, Hermann Ney

Proceedings of the Tenth Workshop on Statistical Machine Translation, 2015

Efficient Hyper-parameter Optimization for NLP Applications.

Lidan Wang, Minwei Feng, Bowen Zhou, Bing Xiang, Sridhar Mahadevan

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Applying deep learning to answer selection: A study and an open task.

Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou

Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2013

The RWTH Aachen System for NTCIR-10 PatentMT.

Minwei Feng, Christoph Schmidt, Joern Wuebker, Markus Freitag, Hermann Ney

Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

The System Combination RWTH Aachen: SYSTRAN for the NTCIR-10 PatentMT Evaluation.

Minwei Feng, Markus Freitag, Hermann Ney, Bianka Buschbeck, Jean Senellart, Jin Yang

Proceedings of the 10th NTCIR Conference on Evaluation of Information Access Technologies, 2013

Reverse Word Order Model.

Markus Freitag, Minwei Feng, Matthias Huck, Stephan Peitz, Hermann Ney

Proceedings of Machine Translation Summit XIV: Papers, 2013

The RWTH Aachen machine translation systems for IWSLT 2013.

Joern Wuebker, Stephan Peitz, Tamer Alkhouli, Jan-Thorsten Peter, Minwei Feng, Markus Freitag, Hermann Ney

Proceedings of the 10th International Workshop on Spoken Language Translation: Evaluation Campaign@IWSLT 2013, 2013

Advancements in Reordering Models for Statistical Machine Translation.

Minwei Feng, Jan-Thorsten Peter, Hermann Ney

Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012

The RWTH Aachen speech recognition and machine translation system for IWSLT 2012.

Stephan Peitz, Saab Mansour, Markus Freitag, Minwei Feng, Matthias Huck, Joern Wuebker, Malte Nuhn, Markus Nußbaum-Thom, Hermann Ney

Proceedings of the 2012 International Workshop on Spoken Language Translation, 2012

Sequence labeling-based reordering model for phrase-based SMT.

Minwei Feng, Jan-Thorsten Peter, Hermann Ney

Proceedings of the 2012 International Workshop on Spoken Language Translation, 2012

Semantic Cohesion Model for Phrase-Based SMT.

Minwei Feng, Weiwei Sun, Hermann Ney

Proceedings of the COLING 2012, 2012

A Tagging-style Reordering Model for Phrase-based SMT.

Minwei Feng, Hermann Ney

Proceedings of the Workshop on Reordering for Statistical Machine Translation@COLING 2012, 2012

2011

The RWTH Aachen System for NTCIR-9 PatentMT.

Minwei Feng, Christoph Schmidt, Joern Wuebker, Stephan Peitz, Markus Freitag, Hermann Ney

Proceedings of the 9th NTCIR Workshop Meeting on Evaluation of Information Access Technologies: Information Retrieval, 2011

The RWTH Aachen machine translation system for IWSLT 2011.

Joern Wuebker, Matthias Huck, Saab Mansour, Markus Freitag, Minwei Feng, Stephan Peitz, Christoph Schmidt, Hermann Ney

Proceedings of the 2011 International Workshop on Spoken Language Translation, 2011

2010

A Source-side Decoding Sequence Model for Statistical Machine Translation.

Minwei Feng, Arne Mauser, Hermann Ney

Proceedings of the 9th Conference of the Association for Machine Translation in the Americas: Research Papers, 2010

2008

A real-time video surveillance system with human occlusion handling using nonlinear regression.

Jungong Han, Minwei Feng, Peter H. N. de With

Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008