Jin Wang

Orcid: 0000-0002-5113-6296

Affiliations:
  • Nantong University, School of Computer Science and Technology, China


According to our database1, Jin Wang authored at least 14 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
GAFUSE-Net: A Low Resolution Gaze Estimation Method Based on the Enhancement of Gaze-Relevant Features.
IEEE Access, 2024

Sparse Transformer Network With Spatial-Temporal Graph for Pedestrian Trajectory Prediction.
IEEE Access, 2024

Pedestrian Detection Method Based on FCOS-DEFPN Model.
IEEE Access, 2024

Lightweight Person Re-Identification for Edge Computing.
IEEE Access, 2024

2023
Vehicle Trajectory Prediction With Interaction Regions and Spatial-Temporal Attention.
IEEE Access, 2023

2021
A Kind of Event Trust Model for VANET Based on Statistical Method.
Wirel. Pers. Commun., 2021

Research of vehicular cloud storage resource management based on trust mechanism.
Int. J. Distributed Sens. Networks, 2021

Visible Infrared Person Re-Identification via Global-Level and Local-Level Constraints.
IEEE Access, 2021

2019
A Trust Scheme Based on Vehicles Reports of Events in VANETs.
Wirel. Pers. Commun., 2019

2018
ClusterRep: A cluster-based reputation framework for balancing privacy and trust in vehicular participatory sensing.
Int. J. Distributed Sens. Networks, 2018

Wearable IoT enabled real-time health monitoring system.
EURASIP J. Wirel. Commun. Netw., 2018

2017
Self-Recommendation Mechanism in Trust Calculation Among Nodes in WSN.
Wirel. Pers. Commun., 2017

Internet of Things for Ambient Assisted Living: Challenges and Future Opportunities.
Proceedings of the 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2017

2016
RPRep: A Robust and Privacy-Preserving Reputation Management Scheme for Pseudonym-Enabled VANETs.
Int. J. Distributed Sens. Networks, 2016


  Loading...