Wei Sun
Orcid: 0000-0002-4870-2971Affiliations:
- Nanjing University of Information Science and Technology, School of Information and Control, China
- Purdue University, NEXTRANS Center, West Lafayette, IN, USA (2014 - 2015)
- Southeast University, Department of Instrument Science and Engineering, Nanjing, China (PhD 2010)
According to our database1,
Wei Sun
authored at least 35 papers
between 2008 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Heterogeneous soft tissue deformation model based on cellular neural networks: Application in pulmonary hamartomas surgery.
Biomed. Signal Process. Control., 2024
2023
A Dual-Branch Network for Few-Shot Vehicle Re-Identification With Enhanced Global and Local Features.
IEEE Trans. Instrum. Meas., 2023
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
Comput. Syst. Sci. Eng., 2023
2022
TBE-Net: A Three-Branch Embedding Network With Part-Aware Ability and Feature Complementary Learning for Vehicle Re-Identification.
IEEE Trans. Intell. Transp. Syst., 2022
Comput. Syst. Sci. Eng., 2022
Comput. Syst. Sci. Eng., 2022
Comput. Biol. Medicine, 2022
Appl. Intell., 2022
2021
Fine-grained vehicle type classification using lightweight convolutional neural network with feature optimization and joint learning strategy.
Multim. Tools Appl., 2021
J. Ambient Intell. Humaniz. Comput., 2021
Int. J. Sens. Networks, 2021
2020
J. Cloud Comput., 2020
KSII Trans. Internet Inf. Syst., 2020
An Optimized Mass-spring Model with Shape Restoration Ability Based on Volume Conservation.
KSII Trans. Internet Inf. Syst., 2020
Int. J. Sens. Networks, 2020
Int. J. Embed. Syst., 2020
Int. J. Embed. Syst., 2020
Int. J. Embed. Syst., 2020
Int. J. Embed. Syst., 2020
Moving Vehicle Detection and Tracking Based on Optical Flow Method and Immune Particle Filter under Complex Transportation Environments.
Complex., 2020
2019
Int. J. Sens. Networks, 2019
Int. J. Sens. Networks, 2019
2017
A Real-Time Fatigue Driving Recognition Method Incorporating Contextual Features and Two Fusion Levels.
IEEE Trans. Intell. Transp. Syst., 2017
2016
Prediction of Military Vehicle's Drawbar Pull Based on an Improved Relevance Vector Machine and Real Vehicle Tests.
Sensors, 2016
2015
A Self-Adaptive Dynamic Recognition Model for Fatigue Driving Based on Multi-Source Information and Two Levels of Fusion.
Sensors, 2015
2014
Artif. Intell. Rev., 2014
2009
Multi-feature Fusion Method of Driver Face Location Based on Area Coincidence Degree and Prior Knowledge.
Proceedings of the 2009 Pacific-Asia Conference on Circuits, Communications and Systems, 2009
2008
A novel parallel rhombus-chain-connected model for real-time softness haptic rendering.
Proceedings of the IEEE International Conference on Robotics and Biomimetics, 2008
A Novel Parallel Rhombus-Chain-Connected Model for the Haptic Simulation of Soft Objects.
Proceedings of the PACIIA 2008, 2008
Proceedings of the PACIIA 2008, 2008