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    Author information
    First name: Mingxuan
    Last name: Wang
    DBLP: 43/11214
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    Below you find the publications which have been written by this author.

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    Conference paper
    Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu.
    Deep Neural Machine Translation with Linear Associative Unit.
    CoRR 2017, Volume 0 (0) 2017
    Conference paper
    Mingxuan Wang, Zhengdong Lu, Jie Zhou, Qun Liu.
    Deep Neural Machine Translation with Linear Associative Unit.
    Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers 2017 (0) 2017
    Conference paper
    Jinchao Zhang, Mingxuan Wang, Qun Liu, Jie Zhou.
    Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation.
    Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, ACL 2017, Vancouver, Canada, July 30 - August 4, Volume 1: Long Papers 2017 (0) 2017
    Conference paper
    Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu.
    Memory-enhanced Decoder for Neural Machine Translation.
    CoRR 2016, Volume 0 (0) 2016
    Conference paper
    Jinchao Zhang, Fandong Meng, Mingxuan Wang, Daqi Zheng, Wenbin Jiang, Qun Liu.
    Is Local Window Essential for Neural Network Based Chinese Word Segmentation?
    Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 15th China National Conference, CCL 2016, and 4th International Symposium, NLP-NABD 2016, Yantai, China, October 15-16, 2016, Proceedings 2016 (0) 2016
    Conference paper
    Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu.
    Memory-enhanced Decoder for Neural Machine Translation.
    Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, EMNLP 2016, Austin, Texas, USA, November 1-4, 2016 2016 (0) 2016
    Conference paper
    Qingsong Ma, Fandong Meng, Daqi Zheng, Mingxuan Wang, Yvette Graham, Wenbin Jiang, Qun Liu.
    MaxSD: A Neural Machine Translation Evaluation Metric Optimized by Maximizing Similarity Distance.
    Natural Language Understanding and Intelligent Applications - 5th CCF Conference on Natural Language Processing and Chinese Computing, NLPCC 2016, and 24th International Conference on Computer Processing of Oriental Languages, ICCPOL 2016, Kunming, China, 2016 (0) 2016
    Journal article
    Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu.
    Syntax-based Deep Matching of Short Texts.
    CoRR 2015, Volume 0 (0) 2015
    Journal article
    Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu.
    Encoding Source Language with Convolutional Neural Network for Machine Translation.
    CoRR 2015, Volume 0 (0) 2015
    Conference paper
    Mingxuan Wang, Zhengdong Lu, Hang Li, Qun Liu.
    Syntax-Based Deep Matching of Short Texts.
    Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, IJCAI 2015, Buenos Aires, Argentina, July 25-31, 2015 2015 (0) 2015
    Conference paper
    Mingxuan Wang, Zhengdong Lu, Hang Li, Wenbin Jiang, Qun Liu.
    genCNN: A Convolutional Architecture for Word Sequence Prediction.
    Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, 2015 (0) 2015
    Conference paper
    Fandong Meng, Zhengdong Lu, Mingxuan Wang, Hang Li, Wenbin Jiang, Qun Liu.
    Encoding Source Language with Convolutional Neural Network for Machine Translation.
    Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, ACL 2015, July 26-31, 2015, Beijing, 2015 (0) 2015
    Conference paper
    Mingxuan Wang, Clive Cheong Took, Danilo P. Mandic.
    A class of fast quaternion valued variable stepsize stochastic gradient learning algorithms for vector sensor processes.
    The 2011 International Joint Conference on Neural Networks, IJCNN 2011, San Jose, California, USA, July 31 - August 5, 2011 2011 (0) 2011
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