Junn Yong Loo

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 15

Top Topics

Transfer Learning

State Estimation

Variational Bayes

Top Venues

IEEE Robotics Autom. Lett.

IEEE Instrum. Meas. Mag.

Publications

Junn Yong Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael C.-W. Phan
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling. CoRR (2024)
Wai Tong Chor, Chee Pin Tan, A. S. M. Bakibillah, Ziyuan Pu, Junn Yong Loo
Robust Vehicle Mass Estimation Using Recursive Least M-Squares Algorithm for Intelligent Vehicles. IEEE Trans. Intell. Veh. 9 (1) (2024)
Michelle Adeline, Junn Yong Loo, Vishnu Monn Baskaran
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection. CoRR (2024)
Yee-Fan Tan, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
BrainFC-CGAN: A Conditional Generative Adversarial Network for Brain Functional Connectivity Augmentation and Aging Synthesis. ICASSP (2024)
Junn Yong Loo, Ze Yang Ding, Surya Girinatha Nurzaman, Chee-Ming Ting, Vishnu Monn Baskaran, Chee Pin Tan
Unsupervised Cross-Domain Soft Sensor Modelling via A Deep Bayesian Particle Flow Framework. CoRR (2023)
Ze Yang Ding, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan, Vishnu Monn Baskaran
A Zero-Shot Soft Sensor Modeling Approach Using Adversarial Learning for Robustness Against Sensor Fault. IEEE Trans. Ind. Informatics 19 (4) (2023)
Junn Yong Loo, Ze Yang Ding, Vishnu Monn Baskaran, Surya Girinatha Nurzaman, Chee Pin Tan
Sigma-point Kalman Filter with Nonlinear Unknown Input Estimation via Optimization and Data-driven Approach for Dynamic Systems. CoRR (2023)
Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphaël C.-W. Phan, Vishnu Monn Baskaran, Surya Girinatha Nurzaman
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework. ICRA (2023)
Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphael CW Phan, Vishnu Monn Baskaran, Surya Girinatha Nurzaman
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework. CoRR (2023)
Junn Yong Loo, Sin-Yee Yap, Fuad Noman, Raphael CW Phan, Chee-Ming Ting
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification. CoRR (2023)
A. S. M. Bakibillah, Yong Hwa Tan, Junn Yong Loo, Chee Pin Tan, Md. Abdus Samad Kamal, Ziyuan Pu
Robust estimation of traffic density with missing data using an adaptive-R extended Kalman filter. Appl. Math. Comput. 421 (2022)
Ze Yang Ding, Junn Yong Loo, Vishnu Monn Baskaran, Surya Girinatha Nurzaman, Chee Pin Tan
Predictive Uncertainty Estimation Using Deep Learning for Soft Robot Multimodal Sensing. IEEE Robotics Autom. Lett. 6 (2) (2021)
Chee Pin Tan, Surya Girinatha Nurzaman, Junn Yong Loo, Ze Yang Ding
Future trends in I&M: Indirect sensing in soft robots using observers/filters. IEEE Instrum. Meas. Mag. 23 (1) (2020)
Junn Yong Loo, Kah Chun Kong, Chee Pin Tan, Surya Girinatha Nurzaman
Non-linear System Identification and State Estimation in a Pneumatic Based Soft Continuum Robot. CCTA (2019)
Junn Yong Loo, Chee Pin Tan, Surya Girinatha Nurzaman
H-infinity based Extended Kalman Filter for State Estimation in Highly Non-linear Soft Robotic System. ACC (2019)