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Minwei Feng
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2020 – today
- 2024
- [i7]Junfeng Hou, Peiyao Wang, Jincheng Zhang, Meng Yang, Minwei Feng, Jingcheng Yin:
CTC Blank Triggered Dynamic Layer-Skipping for Efficient CTC-based Speech Recognition. CoRR abs/2401.02046 (2024) - 2023
- [c24]Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin:
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. ACL (Findings) 2023: 8954-8966 - [c23]Junfeng Hou, Peiyao Wang, Jincheng Zhang, Meng Yang, Minwei Feng, Jingcheng Yin:
CTC Blank Triggered Dynamic Layer-Skipping for Efficient Ctc-Based Speech Recognition. ASRU 2023: 1-5 - [i6]Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin:
Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. CoRR abs/2305.15099 (2023) - 2022
- [c22]Chunping Ma, Zijun Xu, Minwei Feng, Jingcheng Yin, Liang Ruan, Hejian Su:
Context Enhanced and Data Augmented $\mathrm W^{2}NER$ System for Named Entity Recognition. NLPCC (2) 2022: 145-155
2010 – 2019
- 2018
- [c21]Rui Zhang, Minwei Feng, Wei Zhang, Siyuan Lu, Fei Wang:
Forecast of Solar Energy Production - A Deep Learning Approach. ICBK 2018: 73-82 - 2017
- [c20]Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou, Fei Wang:
GaDei: On Scale-Up Training as a Service for Deep Learning. ICDM 2017: 1195-1200 - [c19]Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio:
A Structured Self-Attentive Sentence Embedding. ICLR (Poster) 2017 - [c18]Guojing Cong, Onkar Bhardwaj
, Minwei Feng:
An Efficient, Distributed Stochastic Gradient Descent Algorithm for Deep-Learning Applications. ICPP 2017: 11-20 - [i5]Markus Freitag, Jan-Thorsten Peter, Stephan Peitz, Minwei Feng, Hermann Ney:
Local System Voting Feature for Machine Translation System Combination. CoRR abs/1702.03033 (2017) - [i4]Zhouhan Lin, Minwei Feng, Cícero Nogueira dos Santos, Mo Yu, Bing Xiang, Bowen Zhou, Yoshua Bengio:
A Structured Self-attentive Sentence Embedding. CoRR abs/1703.03130 (2017) - 2016
- [c17]Minwei Feng, Bing Xiang, Bowen Zhou:
Distributed Deep Learning for Question Answering. CIKM 2016: 2413-2416 - [i3]Wei Zhang, Minwei Feng, Yunhui Zheng, Yufei Ren, Yandong Wang, Ji Liu, Peng Liu, Bing Xiang, Li Zhang, Bowen Zhou:
GaDei: On Scale-up Training As A Service For Deep Learning. CoRR abs/1611.06213 (2016) - 2015
- [c16]Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou:
Applying deep learning to answer selection: A study and an open task. ASRU 2015: 813-820 - [c15]Lidan Wang, Minwei Feng, Bowen Zhou, Bing Xiang, Sridhar Mahadevan:
Efficient Hyper-parameter Optimization for NLP Applications. EMNLP 2015: 2112-2117 - [c14]Markus Freitag, Jan-Thorsten Peter, Stephan Peitz, Minwei Feng, Hermann Ney:
Local System Voting Feature for Machine Translation System Combination. WMT@EMNLP 2015: 467-476 - [i2]Minwei Feng, Bing Xiang, Michael R. Glass, Lidan Wang, Bowen Zhou:
Applying Deep Learning to Answer Selection: A Study and An Open Task. CoRR abs/1508.01585 (2015) - [i1]Minwei Feng, Bing Xiang, Bowen Zhou:
Distributed Deep Learning for Answer Selection. CoRR abs/1511.01158 (2015) - 2013
- [c13]Minwei Feng, Jan-Thorsten Peter, Hermann Ney:
Advancements in Reordering Models for Statistical Machine Translation. ACL (1) 2013: 322-332 - [c12]Joern Wuebker, Stephan Peitz, Tamer Alkhouli, Jan-Thorsten Peter, Minwei Feng, Markus Freitag, Hermann Ney:
The RWTH Aachen machine translation systems for IWSLT 2013. IWSLT (Evaluation Campaign) 2013 - [c11]Markus Freitag, Minwei Feng, Matthias Huck, Stephan Peitz, Hermann Ney:
Reverse Word Order Model. MTSummit 2013 - [c10]Minwei Feng, Markus Freitag, Hermann Ney, Bianka Buschbeck, Jean Senellart, Jin Yang:
The System Combination RWTH Aachen: SYSTRAN for the NTCIR-10 PatentMT Evaluation. NTCIR 2013 - [c9]Minwei Feng, Christoph Schmidt, Joern Wuebker, Markus Freitag, Hermann Ney:
The RWTH Aachen System for NTCIR-10 PatentMT. NTCIR 2013 - 2012
- [c8]Minwei Feng, Hermann Ney:
A Tagging-style Reordering Model for Phrase-based SMT. SMT@COLING 2012: 17-26 - [c7]Minwei Feng, Weiwei Sun, Hermann Ney:
Semantic Cohesion Model for Phrase-Based SMT. COLING 2012: 867-878 - [c6]Stephan Peitz, Saab Mansour, Markus Freitag, Minwei Feng, Matthias Huck, Joern Wuebker, Malte Nuhn, Markus Nußbaum-Thom, Hermann Ney:
The RWTH Aachen speech recognition and machine translation system for IWSLT 2012. IWSLT 2012: 69-76 - [c5]Minwei Feng, Jan-Thorsten Peter, Hermann Ney:
Sequence labeling-based reordering model for phrase-based SMT. IWSLT 2012: 260-267 - 2011
- [c4]Joern Wuebker, Matthias Huck, Saab Mansour, Markus Freitag, Minwei Feng, Stephan Peitz, Christoph Schmidt, Hermann Ney:
The RWTH Aachen machine translation system for IWSLT 2011. IWSLT 2011: 106-113 - [c3]Minwei Feng, Christoph Schmidt, Joern Wuebker, Stephan Peitz, Markus Freitag, Hermann Ney:
The RWTH Aachen System for NTCIR-9 PatentMT. NTCIR 2011 - 2010
- [c2]Minwei Feng, Arne Mauser, Hermann Ney:
A Source-side Decoding Sequence Model for Statistical Machine Translation. AMTA 2010
2000 – 2009
- 2008
- [c1]Jungong Han, Minwei Feng, Peter H. N. de With:
A real-time video surveillance system with human occlusion handling using nonlinear regression. ICME 2008: 305-308
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