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Xiaofei Zhu
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Publications
- 2024
- [j26]Xiaofei Zhu, Yidan Liu, Zhuo Chen, Xu Chen, Jiafeng Guo, Stefan Dietze:
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction. J. Intell. Inf. Syst. 62(2): 555-574 (2024) - [i7]Xiaofei Zhu, Liang Li, Stefan Dietze, Xin Luo:
Multi-Level Sequence Denoising with Cross-Signal Contrastive Learning for Sequential Recommendation. CoRR abs/2404.13878 (2024) - 2023
- [j23]Xiaofei Zhu, Zhanwang Peng, Jiafeng Guo, Stefan Dietze:
Generating effective label description for label-aware sentiment classification. Expert Syst. Appl. 213(Part): 119194 (2023) - [j22]Xiaofei Zhu, Chenghong Li, Jiafeng Guo, Stefan Dietze:
CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks. Expert Syst. Appl. 226: 120178 (2023) - [j21]Zhuomin Chen, Li Wang, Xiaofei Zhu, Stefan Dietze:
TSNN: A Topic and Structure Aware Neural Network for Rumor Detection. Neurocomputing 531: 114-124 (2023) - [j20]Xiaofei Zhu, Gu Tang, Pengfei Wang, Chenliang Li, Jiafeng Guo, Stefan Dietze:
Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. Inf. Sci. 624: 324-343 (2023) - [j19]Ling Zhu, Xiaofei Zhu, Jiafeng Guo, Stefan Dietze:
Exploring rich structure information for aspect-based sentiment classification. J. Intell. Inf. Syst. 60(1): 97-117 (2023) - 2022
- [j18]Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze:
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. J. Intell. Inf. Syst. 58(1): 1-19 (2022) - [j16]Gu Tang, Xiaofei Zhu, Jiafeng Guo, Stefan Dietze:
Time enhanced graph neural networks for session-based recommendation. Knowl. Based Syst. 251: 109204 (2022) - 2021
- [j13]Xiaofei Zhu, Ling Zhu, Jiafeng Guo, Shangsong Liang, Stefan Dietze:
GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification. Expert Syst. Appl. 186: 115712 (2021) - [j12]Xiaofei Zhu, Jie Wu, Ling Zhu, Jiafeng Guo, Ran Yu, Katarina Boland, Stefan Dietze:
Exploring user historical semantic and sentiment preference for microblog sentiment classification. Neurocomputing 464: 141-150 (2021) - [j11]Xiaofei Zhu, Khoi Duy Do, Jiafeng Guo, Jun Xu, Stefan Dietze:
Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering. Neural Process. Lett. 53(1): 1-16 (2021) - 2020
- [j10]Xiaofei Zhu, Jiafeng Guo, Wolfgang Nejdl, Xiangwen Liao, Stefan Dietze:
Multi-view image clustering based on sparse coding and manifold consensus. Neurocomputing 403: 53-62 (2020) - [c20]Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, Stefan Dietze:
TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic. CIKM 2020: 2991-2998 - [i3]Dimitar Dimitrov, Erdal Baran, Pavlos Fafalios, Ran Yu, Xiaofei Zhu, Matthäus Zloch, Stefan Dietze:
TweetsCOV19 - A Knowledge Base of Semantically Annotated Tweets about the COVID-19 Pandemic. CoRR abs/2006.14492 (2020) - [i2]Arjun Roy, Pavlos Fafalios, Asif Ekbal, Xiaofei Zhu, Stefan Dietze:
Exploiting stance hierarchies for cost-sensitive stance detection of Web documents. CoRR abs/2007.15121 (2020) - 2016
- [c16]Ran Yu, Ujwal Gadiraju, Xiaofei Zhu, Besnik Fetahu, Stefan Dietze:
Towards Entity Summarisation on Structured Web Markup. ESWC (Satellite Events) 2016: 69-73
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last updated on 2024-09-09 01:15 CEST by the dblp team
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