Peijie Yin

Orcid: 0009-0004-2917-3922

According to our database1, Peijie Yin authored at least 13 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
FlexClave: An Extensible and Secure Trusted Execution Environment Framework.
IEEE Trans. Computers, April, 2026

LDST-UAVS: A Lightweight Data Secure Transmission Protocol for Unmanned Aerial Vehicle Swarms in Emergency Rescue Scenarios.
IEEE Trans. Netw. Serv. Manag., 2026

2025
Efficient Vehicle Secure Scheduling and Access Authentication Scheme for 5G-Integrated Emergency Rescue Scenario.
IEEE Trans. Intell. Transp. Syst., November, 2025

Game-Theoretic Defense Against Encrypted Data Poisoning in Federated Learning for Social Networks.
Proceedings of the Security and Privacy in Social Networks and Big Data, 2025

2023
Brain-inspired Intelligent Robotics: Theoretical Analysis and Systematic Application.
Int. J. Autom. Comput., 2023

2020
Achieving Fine-Grained QoS for Privacy-Aware Users in LBSs.
IEEE Wirel. Commun., 2020

2018
A Novel Biologically Inspired Visual Cognition Model: Automatic Extraction of Semantics, Formation of Integrated Concepts, and Reselection Features for Ambiguity.
IEEE Trans. Cogn. Dev. Syst., 2018

2017
Improving learning efficiency of recurrent neural network through adjusting weights of all layers in a biologically-inspired framework.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2016
A biologically inspired model mimicking the memory and two distinct pathways of face perception.
Neurocomputing, 2016

A Novel Biologically Mechanism-Based Visual Cognition Model-Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity.
CoRR, 2016

Biologically inspired model simulating visual pathways and cerebellum function in human - Achieving visuomotor coordination and high precision movement with learning ability.
CoRR, 2016

NFLB dropout: Improve generalization ability by dropping out the best -A biologically inspired adaptive dropout method for unsupervised learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Robotics and Automation Activities in China [Industrial Activities].
IEEE Robotics Autom. Mag., 2015


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