Ruifeng Xu
Ruifeng Xu
Professor, Harbin Institute of Technology at Shenzhen
Verified email at
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Improving sentiment analysis via sentence type classification using BiLSTM-CRF and CNN
T Chen, R Xu, Y He, X Wang
Expert Systems with Applications 72, 221-230, 2017
Combining evolutionary information extracted from frequency profiles with sequence-based kernels for protein remote homology detection
B Liu, D Zhang, R Xu, J Xu, X Wang, Q Chen, Q Dong, KC Chou
Bioinformatics 30 (4), 472-479, 2014
iDNA-Prot| dis: identifying DNA-binding proteins by incorporating amino acid distance-pairs and reduced alphabet profile into the general pseudo amino acid composition
B Liu, J Xu, X Lan, R Xu, J Zhou, X Wang, KC Chou
PloS one 9 (9), e106691, 2014
PseDNA‐Pro: DNA‐binding protein identification by combining Chou’s PseAAC and physicochemical distance transformation
B Liu, J Xu, S Fan, R Xu, J Zhou, X Wang
Molecular Informatics 34 (1), 8-17, 2015
Stance classification with target-specific neural attention networks
J Du, R Xu, Y He, L Gui
International Joint Conferences on Artificial Intelligence, 2017
Identification of DNA-binding proteins by incorporating evolutionary information into pseudo amino acid composition via the top-n-gram approach
R Xu, J Zhou, B Liu, Y He, Q Zou, X Wang, KC Chou
Journal of Biomolecular Structure and Dynamics 33 (8), 1720-1730, 2015
Event-driven emotion cause extraction with corpus construction
L Gui, R Xu, D Wu, Q Lu, Y Zhou
Social Media Content Analysis: Natural Language Processing and Beyond, 145-160, 2018
Using distances between Top-n-gram and residue pairs for protein remote homology detection
B Liu, J Xu, Q Zou, R Xu, X Wang, Q Chen
BMC bioinformatics 15 (2), 1-10, 2014
A question answering approach to emotion cause extraction
L Gui, J Hu, Y He, R Xu, Q Lu, J Du
arXiv preprint arXiv:1708.05482, 2017
Learning user and product distributed representations using a sequence model for sentiment analysis
T Chen, R Xu, Y He, Y Xia, X Wang
IEEE Computational Intelligence Magazine 11 (3), 34-44, 2016
Disease named entity recognition by combining conditional random fields and bidirectional recurrent neural networks
Q Wei, T Chen, R Xu, Y He, L Gui
Database 2016, 2016
Learning representations from heterogeneous network for sentiment classification of product reviews
L Gui, Y Zhou, R Xu, Y He, Q Lu
Knowledge-Based Systems 124, 34-45, 2017
Word embedding composition for data imbalances in sentiment and emotion classification
R Xu, T Chen, Y Xia, Q Lu, B Liu, X Wang
Cognitive Computation 7 (2), 226-240, 2015
Introduction to Chinese natural language processing
KF Wong, W Li, R Xu, Z Zhang
Synthesis Lectures on Human Language Technologies 2 (1), 1-148, 2009
Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation
R Xu, J Zhou, H Wang, Y He, X Wang, B Liu
BMC systems biology 9 (1), 1-12, 2015
Emotion cause detection with linguistic construction in chinese weibo text
L Gui, L Yuan, R Xu, B Liu, Q Lu, Y Zhou
CCF International Conference on Natural Language Processing and Chinese …, 2014
A challenge dataset and effective models for aspect-based sentiment analysis
Q Jiang, L Chen, R Xu, X Ao, M Yang
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
The unified collocation framework for opinion mining
YQ Xia, RF Xu, KF Wong, F Zheng
2007 International Conference on Machine Learning and Cybernetics 2, 844-850, 2007
Automatic labelling of topic models learned from twitter by summarisation
AEC Basave, Y He, R Xu
Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014
Improving distributed representation of word sense via wordnet gloss composition and context clustering
T Chen, R Xu, Y He, X Wang
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
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