Peijie Yin
Orcid: 0009-0004-2917-3922
According to our database1,
Peijie Yin authored at least 13 papers
between 2015 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2026
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
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
IEEE Robotics Autom. Mag., 2015