Ke Li

Orcid: 0009-0006-8580-5044

Affiliations:
  • University of Nottingham, Nottingham, UK


According to our database1, Ke Li authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
A Fast and Accurate GaN Power Transistor Model and Its Application for Electric Vehicle.
IEEE Trans. Veh. Technol., April, 2024

Predictive Model of Cultural Product Search Interest Based on Collective Memory Hawkes Process.
Proceedings of the 11th International Conference on Behavioural and Social Computing, 2024

2023
CoupledGT: Coupled Geospatial-temporal Data Modeling for Air Quality Prediction.
ACM Trans. Knowl. Discov. Data, November, 2023

Impact of COVID-19 Pandemic on Cultural Products Interests.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Multi-Source Selective Transfer Learning for Fake News Detection in New Event.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Guest Editorial Introduction to the Special Section on Innovative Electrified Vehicles.
IEEE Trans. Veh. Technol., 2022

DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction.
ACM Trans. Intell. Syst. Technol., 2022

Dynamic Probabilistic Graphical Model for Progressive Fake News Detection on Social Media Platform.
ACM Trans. Intell. Syst. Technol., 2022

CoupledMUTS: Coupled Multivariate Utility Time-Series Representation and Prediction.
IEEE Internet Things J., 2022

AdaDebunk: An Efficient and Reliable Deep State Space Model for Adaptive Fake News Early Detection.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
The mass, fake news, and cognition security.
Frontiers Comput. Sci., 2021

2019
The Mass, Fake News, and Cognition Security.
CoRR, 2019

CrowdGuard: Characterization and Early Detection of Collective Content Polluters in Online Social Networks.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019


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