A real-time video surveillance system with human occlusion handling using nonlinear regression. - Jungong Han; Minwei Feng; Peter H. N. de With (ICME, 2008)

A Source-side Decoding Sequence Model for Statistical Machine Translation. - Minwei Feng; Arne Mauser; Hermann Ney (AMTA, 2010)

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 (IWSLT, 2011)

The RWTH Aachen System for NTCIR-9 PatentMT. - Minwei Feng; Christoph Schmidt; Joern Wuebker; Stephan Peitz; Markus Freitag; Hermann Ney (NTCIR, 2011)

A Tagging-style Reordering Model for Phrase-based SMT. - Minwei Feng; Hermann Ney (SMT@COLING, 2012)

Semantic Cohesion Model for Phrase-Based SMT. - Minwei Feng; Weiwei Sun 007; Hermann Ney (COLING, 2012)

Sequence labeling-based reordering model for phrase-based SMT. - Minwei Feng; Jan-Thorsten Peter; Hermann Ney (IWSLT, 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 (IWSLT, 2012)

Advancements in Reordering Models for Statistical Machine Translation. - Minwei Feng; Jan-Thorsten Peter; Hermann Ney (ACL (1), 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 (IWSLT (Evaluation Campaign), 2013)

Reverse Word Order Model. - Markus Freitag; Minwei Feng; Matthias Huck; Stephan Peitz; Hermann Ney (MTSummit, 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 (NTCIR, 2013)

The RWTH Aachen System for NTCIR-10 PatentMT. - Minwei Feng; Christoph Schmidt; Joern Wuebker; Markus Freitag; Hermann Ney (NTCIR, 2013)

Applying deep learning to answer selection: A study and an open task. - Minwei Feng; Bing Xiang; Michael R. Glass; Lidan Wang; Bowen Zhou 006 (ASRU, 2015)

Efficient Hyper-parameter Optimization for NLP Applications. - Lidan Wang; Minwei Feng; Bowen Zhou 006; Bing Xiang; Sridhar Mahadevan (EMNLP, 2015)

Local System Voting Feature for Machine Translation System Combination. - Markus Freitag; Jan-Thorsten Peter; Stephan Peitz; Minwei Feng; Hermann Ney (WMT@EMNLP, 2015)

Distributed Deep Learning for Answer Selection. - Minwei Feng; Bing Xiang; Bowen Zhou 006 (CoRR, 2015)

Distributed Deep Learning for Question Answering. - Minwei Feng; Bing Xiang; Bowen Zhou 006 (CIKM, 2016)

GaDei: On Scale-up Training As A Service For Deep Learning. - Wei Zhang 057; Minwei Feng; Yunhui Zheng; Yufei Ren; Yandong Wang; Ji Liu; Peng Liu 010; Bing Xiang; Li Zhang 002; Bowen Zhou 002 (CoRR, 2016)

GaDei: On Scale-Up Training as a Service for Deep Learning. - Wei Zhang 057; Minwei Feng; Yunhui Zheng; Yufei Ren; Yandong Wang; Ji Liu; Peng Liu 010; Bing Xiang; Li Zhang 002; Bowen Zhou 002; Fei Wang 001 (ICDM, 2017)

A Structured Self-Attentive Sentence Embedding. - Zhouhan Lin; Minwei Feng; Cícero Nogueira dos Santos; Mo Yu; Bing Xiang; Bowen Zhou 002; Yoshua Bengio (ICLR (Poster), 2017)

An Efficient, Distributed Stochastic Gradient Descent Algorithm for Deep-Learning Applications. - Guojing Cong; Onkar Bhardwaj; Minwei Feng (ICPP, 2017)

Forecast of Solar Energy Production - A Deep Learning Approach. - Rui Zhang; Minwei Feng; Wei Zhang 022; Siyuan Lu 003; Fei Wang 001 (ICBK, 2018)

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 (NLPCC (2), 2022)

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 (ACL (Findings), 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 (ASRU, 2023)