Junn Yong Loo

According to our database, Junn Yong Loo authored at least 16 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Sigma-Point Kalman Filter With Nonlinear Unknown Input Estimation via Optimization and Data-Driven Approach for Dynamic Systems.

Junn Yong Loo, Ze Yang Ding, Vishnu Monn Baskaran, Surya Girinatha Nurzaman, Chee Pin Tan

IEEE Trans. Syst. Man Cybern. Syst., October, 2024

Robust Vehicle Mass Estimation Using Recursive Least M-Squares Algorithm for Intelligent Vehicles.

Wai Tong Chor, Chee Pin Tan, A. S. M. Bakibillah, Ziyuan Pu, Junn Yong Loo

IEEE Trans. Intell. Veh., January, 2024

Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling.

Junn Yong Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael C.-W. Phan

CoRR, 2024

MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection.

Michelle Adeline, Junn Yong Loo, Vishnu Monn Baskaran

CoRR, 2024

Service and End of Rally Detection in Badminton Videos.

See Shin Yue, Mohd Fikree Hassan, Ganesh Krishnasamy, Junn Yong Loo, Raveendran Paramesran

Proceedings of the Sports Analytics - First International Conference, 2024

A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification.

Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Adeel Razi, David L. Dowe

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.

Yee-Fan Tan, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao

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.

Ze Yang Ding, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan, Vishnu Monn Baskaran

IEEE Trans. Ind. Informatics, April, 2023

Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes.

Junn Yong Loo, Ze Yang Ding, Surya Girinatha Nurzaman, Chee-Ming Ting, Vishnu Monn Baskaran, Chee Pin Tan

CoRR, 2023

A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification.

Junn Yong Loo, Sin-Yee Yap, Fuad Noman, Raphael C.-W. Phan, Chee-Ming Ting

CoRR, 2023

Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework.

Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphaël C.-W. Phan, Vishnu Monn Baskaran, Surya Girinatha Nurzaman

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.

A. S. M. Bakibillah, Yong Hwa Tan, Junn Yong Loo, Chee Pin Tan, Md. Abdus Samad Kamal, Ziyuan Pu

Appl. Math. Comput., 2022

2021

Predictive Uncertainty Estimation Using Deep Learning for Soft Robot Multimodal Sensing.

Ze Yang Ding, Junn Yong Loo, Vishnu Monn Baskaran, Surya Girinatha Nurzaman, Chee Pin Tan

IEEE Robotics Autom. Lett., 2021

2020

Future trends in I&M: Indirect sensing in soft robots using observers/filters.

Chee Pin Tan, Surya Girinatha Nurzaman, Junn Yong Loo, Ze Yang Ding

IEEE Instrum. Meas. Mag., 2020

2019

Non-linear System Identification and State Estimation in a Pneumatic Based Soft Continuum Robot.

Junn Yong Loo, Kah Chun Kong, Chee Pin Tan, Surya Girinatha Nurzaman

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.

Junn Yong Loo, Chee Pin Tan, Surya Girinatha Nurzaman

Proceedings of the 2019 American Control Conference, 2019