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Xiangtai Chen
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2020 – today
- 2022
- [i2]Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia:
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. CoRR abs/2202.07832 (2022) - 2021
- [j3]Jiaying Liu, Hansong Nie, Shihao Li, Xiangtai Chen, Huazhu Cao, Jing Ren, Ivan Lee, Feng Xia:
Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution. Big Data Res. 25: 100236 (2021) - [j2]Nakema Y. Deonauth, Mingchu Li, Shuo Yu, Xiangtai Chen:
An Upstream-Reciprocity-Based Strategy for Academic Social Networks Using Public Goods Game. IEEE Trans. Comput. Soc. Syst. 8(6): 1417-1426 (2021) - [j1]Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong:
Matching Algorithms: Fundamentals, Applications and Challenges. IEEE Trans. Emerg. Top. Comput. Intell. 5(3): 332-350 (2021) - [c4]Nakema Deonauth, Xiangtai Chen, Mingchu Li:
Scientific Collaboration Analytics based on Multi-Player Game Theory. IMCOM 2021: 1-4 - [c3]Xiangtai Chen, Tao Tang, Jing Ren, Ivan Lee, Honglong Chen, Feng Xia:
Heterogeneous Graph Learning for Explainable Recommendation over Academic Networks. WI/IAT (Workshop/Special Session) 2021: 29-36 - [i1]Jing Ren, Feng Xia, Xiangtai Chen, Jiaying Liu, Mingliang Hou, Ahsan Shehzad, Nargiz Sultanova, Xiangjie Kong:
Matching Algorithms: Fundamentals, Applications and Challenges. CoRR abs/2103.03770 (2021) - 2020
- [c2]Hansong Nie, Xiangtai Chen, Xinbei Chu, Wei Wang, Zhenzhen Xu, Feng Xia:
Collaborator Recommendation Based on Dynamic Attribute Network Representation Learning. BESC 2020: 1-6 - [c1]Jing Ren, Ivan Lee, Lei Wang, Xiangtai Chen, Feng Xia:
On the Correlation Between Research Complexity and Academic Competitiveness. ICADL 2020: 416-422
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