Junn Yong Loo
Orcid: 0000-0001-9370-600X
According to our database1,
Junn Yong Loo
authored at least 19 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
2019
2020
2021
2022
2023
2024
0
5
10
6
3
1
1
1
4
1
2
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Sigma-Point Kalman Filter With Nonlinear Unknown Input Estimation via Optimization and Data-Driven Approach for Dynamic Systems.
IEEE Trans. Syst. Man Cybern. Syst., October, 2024
Robust Vehicle Mass Estimation Using Recursive Least M-Squares Algorithm for Intelligent Vehicles.
IEEE Trans. Intell. Veh., January, 2024
PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving.
CoRR, 2024
Energy-efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles.
CoRR, 2024
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction.
CoRR, 2024
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling.
CoRR, 2024
Proceedings of the Sports Analytics - First International Conference, 2024
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
BrainFC-CGAN: A Conditional Generative Adversarial Network for Brain Functional Connectivity Augmentation and Aging Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
A Zero-Shot Soft Sensor Modeling Approach Using Adversarial Learning for Robustness Against Sensor Fault.
IEEE Trans. Ind. Informatics, April, 2023
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes.
CoRR, 2023
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification.
CoRR, 2023
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
2022
Robust estimation of traffic density with missing data using an adaptive-R extended Kalman filter.
Appl. Math. Comput., 2022
2021
Predictive Uncertainty Estimation Using Deep Learning for Soft Robot Multimodal Sensing.
IEEE Robotics Autom. Lett., 2021
2020
IEEE Instrum. Meas. Mag., 2020
2019
Non-linear System Identification and State Estimation in a Pneumatic Based Soft Continuum Robot.
Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019
H-infinity based Extended Kalman Filter for State Estimation in Highly Non-linear Soft Robotic System.
Proceedings of the 2019 American Control Conference, 2019