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ZHONG Zhiqiang

University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)

Main Referenced Co-authors
PANG, Jun  (7)
CHEN, Ninghan  (5)
CHEN, Xihui  (4)
Zhang, Yang (2)
Main Referenced Keywords
Information diffusion (2); Social media (2); Bridging performance (1); Cascade prediction (1); Cascade representation (1);
Main Referenced Disciplines
Computer science (8)

Publications (total 8)

The most downloaded
471 downloads
ZHONG, Z. (2022). Leveraging Graph Machine Learning for Social Network Analysis [Postdoctoral thesis & other thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50811 https://hdl.handle.net/10993/50811

The most cited

9 citations (OpenAlex)

CHEN, N., ZHONG, Z., & PANG, J. (2021). An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. Big Data and Cognitive Computing, 5 (1), 5. doi:10.3390/bdcc5010005 https://hdl.handle.net/10993/46927

CHEN, N., CHEN, X., ZHONG, Z., & PANG, J. (05 January 2024). Bridging Performance of X (formerly known as Twitter) Users: A Predictor of Subjective Well-Being During the Pandemic. ACM Transactions on the Web, 18 (1), 1-23. doi:10.1145/3635033
Peer Reviewed verified by ORBi

CHEN, N., CHEN, X., ZHONG, Z., & PANG, J. (2024). A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction. Data Mining and Knowledge Discovery, 38 (1), 79 - 109. doi:10.1007/s10618-023-00953-5
Peer Reviewed verified by ORBi

CHEN, N., CHEN, X., ZHONG, Z., & PANG, J. (2023). The Burden of Being a Bridge: Analysing Subjective Well-Being of Twitter Users During the COVID-19 Pandemic [Paper presentation]. Joint European Conference on Machine Learning and Knowledge Discovery in Databases, France. doi:10.1007/978-3-031-26390-3_15
Peer reviewed

ZHONG, Z. (2022). Leveraging Graph Machine Learning for Social Network Analysis [Postdoctoral thesis & other thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/50811

CHEN, N., CHEN, X., ZHONG, Z., & PANG, J. (2022). Exploring Spillover Effects for COVID-19 Cascade Prediction. Entropy, 24 (2). doi:10.3390/e24020222
Peer Reviewed verified by ORBi

CHEN, N., ZHONG, Z., & PANG, J. (2021). An Exploratory Study of COVID-19 Information on Twitter in the Greater Region. Big Data and Cognitive Computing, 5 (1), 5. doi:10.3390/bdcc5010005
Peer reviewed

ZHONG, Z., Zhang, Y., & PANG, J. (2020). NeuLP: An End-to-End Deep-Learning Model for Link Prediction. In Proceedings of the 21st International Conference on Web Information System Engineering (WISE'20) (pp. 96-108). Springer.
Peer reviewed

ZHONG, Z., Zhang, Y., & PANG, J. (2019). A graph-based approach to explore relationship between hashtags and images. In Proceedings of the 20th International Conference on Web Information System Engineering (pp. 473-488). springer. doi:10.1007/978-3-030-34223-4_30
Peer reviewed

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