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Ruifeng Xu
Ruifeng Xu
Professor, Harbin Institute of Technology at Shenzhen
Verified email at hit.edu.cn
Title
Cited by
Cited by
Year
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
7762017
Aspect-based sentiment analysis via affective knowledge enhanced graph convolutional networks
B Liang, H Su, L Gui, E Cambria, R Xu
Knowledge-Based Systems 235, 107643, 2022
3262022
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
3152014
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
2982014
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
2882019
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
2282018
Stance classification with target-specific neural attention networks
J Du, R Xu, Y He, L Gui
26th International Joint Conference on Artificial Intelligence, IJCAI 2017 …, 2017
2182017
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
1732017
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
1692015
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
1312016
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, baw140, 2016
1182016
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
1052015
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, 1-12, 2015
1042015
Emotion cause detection with linguistic construction in chinese weibo text
L Gui, L Yuan, R Xu, B Liu, Q Lu, Y Zhou
Natural Language Processing and Chinese Computing: Third CCF Conference …, 2014
1042014
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, 1-10, 2014
1032014
Transition-based directed graph construction for emotion-cause pair extraction
C Fan, C Yuan, J Du, L Gui, M Yang, R Xu
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
1022020
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, 226-240, 2015
1002015
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
942017
Jointly learning aspect-focused and inter-aspect relations with graph convolutional networks for aspect sentiment analysis
B Liang, R Yin, L Gui, J Du, R Xu
Proceedings of the 28th international conference on computational …, 2020
882020
Introduction to Chinese natural language processing
KF Wong, W Li, R Xu, Z Zhang
Springer Nature, 2022
872022
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