Di Han

Orcid: 0000-0003-3890-1528

Affiliations:
  • Macau University of Science and Technology, Faculty of Information Technology, Macau


According to our database1, Di Han authored at least 12 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
LSAB: User Behavioral Pattern Modeling in Sequential Recommendation by Learning Self-Attention Bias.
ACM Trans. Knowl. Discov. Data, April, 2024

Constrained Nonnegative Matrix Factorization Based on Label Propagation for Data Representation.
IEEE Trans. Artif. Intell., February, 2024

2023
Dynamic Lane Reversal Strategy in Intelligent Transportation Systems in Smart Cities.
Sensors, September, 2023

A Maximal Information Coefficient-based Feature Selection Method for Intrusion Detection.
Proceedings of the 8th International Conference on Cyber Security and Information Engineering, 2023

2022
Implicit social recommendation algorithm based on multilayer fuzzy perception similarity.
Int. J. Mach. Learn. Cybern., 2022

2021
AND: Effective Coupling of Accuracy, Novelty and Diversity in the Recommender System.
Proceedings of the 17th International Conference on Mobility, Sensing and Networking, 2021

2019
An app usage recommender system: improving prediction accuracy for both warm and cold start users.
Multim. Syst., 2019

A recommender system to address the Cold Start problem for App usage prediction.
Int. J. Mach. Learn. Cybern., 2019

2018
RegFrame: fast recognition of simple human actions on a stand-alone mobile device.
Neural Comput. Appl., 2018

Predictor: an app cold start recommender system based on user similarity and app periodicity.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

2016
Run Time Application Repartitioning in Dynamic Mobile Cloud Environments.
IEEE Trans. Cloud Comput., 2016

2014
Subscriber dynamic characteristics-based wireless network accessing bandwidth prediction.
Int. J. Mach. Learn. Cybern., 2014


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