Kexin Shi

Orcid: 0000-0003-1276-1053

According to our database1, Kexin Shi authored at least 15 papers between 2015 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Diversified Recommendation Scheme for Wireless Content Caching Networks.
IEEE Internet Things J., May, 2024

PractiCPP: a deep learning approach tailored for extremely imbalanced datasets in cell-penetrating peptide prediction.
Bioinform., February, 2024

Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender Systems.
CoRR, 2024

2023
A biologically inspired auto-associative network with sparse temporal population coding.
Neural Networks, September, 2023

Extreme Parkour with Legged Robots.
CoRR, 2023

Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Perception-Aware Agile Flight in Cluttered Environments.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Soft BPR Loss for Dynamic Hard Negative Sampling in Recommender Systems.
CoRR, 2022

2021
Fault Detection and Identification Based on Explicit Polynomial Mapping and Combined Statistic in Nonlinear Dynamic Processes.
IEEE Access, 2021

2020
The Influence of Social Support on College Students' Mobile Phone Dependence: The Mediating Role of Security.
Netw. Commun. Technol., 2020

Blockchain-based multimedia sharing in vehicular social networks with privacy protection.
Multim. Tools Appl., 2020

Data Security and Privacy in Bitcoin System: A Survey.
J. Comput. Sci. Technol., 2020

2018
Research on the Security of Blockchain Data: A Survey.
CoRR, 2018

2016
Optimal power control for energy efficiency of device-to-device communication underlaying cellular networks.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016

2015
Principal Component Analysis and Clustering Based Indoor Localizaion.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015


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