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Gabriel Pui Cheong Fung
Publications
- 2021
- [j18]Jia Zhu, Zetao Zheng, Min Yang, Gabriel Pui Cheong Fung, Changqin Huang:
Protein Complexes Detection Based on Semi-Supervised Network Embedding Model. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 797-803 (2021) - 2020
- [c33]Jia Zhu, Weihao Yu, Zetao Zheng, Changqin Huang, Yong Tang, Gabriel Pui Cheong Fung:
Learning from Interpretable Analysis: Attention-Based Knowledge Tracing. AIED (2) 2020: 364-368 - 2019
- [j15]Jia Zhu, Changqin Huang, Min Yang, Gabriel Pui Cheong Fung:
Context-based prediction for road traffic state using trajectory pattern mining and recurrent convolutional neural networks. Inf. Sci. 473: 190-201 (2019) - [j14]Changqin Huang, Jia Zhu, Yuzhi Liang, Min Yang, Gabriel Pui Cheong Fung, Junyu Luo:
An efficient automatic multiple objectives optimization feature selection strategy for internet text classification. Int. J. Mach. Learn. Cybern. 10(5): 1151-1163 (2019) - 2018
- [j13]Changqin Huang, Jia Zhu, Xiaodi Huang, Min Yang, Gabriel Pui Cheong Fung, Qintai Hu:
A novel approach for entity resolution in scientific documents using context graphs. Inf. Sci. 432: 431-441 (2018) - [j12]Jia Zhu, Xingcheng Wu, Xueqin Lin, Changqin Huang, Gabriel Pui Cheong Fung, Yong Tang:
A novel multiple layers name disambiguation framework for digital libraries using dynamic clustering. Scientometrics 114(3): 781-794 (2018) - 2017
- [c28]Xueqin Lin, Jia Zhu, Yong Tang, Gabriel Pui Cheong Fung, Jin Huang, Changqin Huang, Feiyi Tang:
A study on the landscape of cancer disease researches using bibliometric methods and social network analysis. CSCWD 2017: 239-244 - 2016
- [j10]Jia Zhu, Chuanhua Xu, Zhixu Li, Gabriel Pui Cheong Fung, Xueqin Lin, Jin Huang, Changqin Huang:
An examination of on-line machine learning approaches for pseudo-random generated data. Clust. Comput. 19(3): 1309-1321 (2016)
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