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 (ACC, 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 (CCTA, 2019)

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)

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)

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)

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 (ICRA, 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)

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 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, 2023)

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 (ICASSP, 2024)

An Ethical Decision Making Algorithm for Autonomous Vehicles During an Inevitable Collision. - Jingyao Tang; Xuewen Luo; Jinye Chen; Yuanyi Yuan; Junn Yong Loo (ICBAR, 2024)

Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals. - Kai-Jun See; Chee-Ming Ting; Fuad Noman; Junn Yong Loo; Yee-Fan Tan; Hernando Ombao; Raphaël C.-W. Phan (ICIP, 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 (IJCAI, 2024)

MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection. - Michelle Adeline; Junn Yong Loo; Vishnu Monn Baskaran (IROS, 2024)

Service and End of Rally Detection in Badminton Videos. - See Shin Yue; Mohd Fikree Hassan; Ganesh Krishnasamy; Junn Yong Loo; Raveendran Paramesran (ISACE, 2024)

Energy-Efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles. - Fan Ding; Xuewen Luo; Gaoxuan Li; Hwa Hui Tew; Junn Yong Loo; Wai Tong Chor; A. S. M. Bakibillah; Ziyuan Zhao; Zhiyu Tao (SMC, 2024)

Cross-Domain Transfer Learning Using Attention Latent Features for Multi-Agent Trajectory Prediction. - Jia Quan Loh; Xuewen Luo; Fan Ding; Hwa Hui Tew; Junn Yong Loo; Ze Yang Ding; Susilawati; Chee Pin Tan (SMC, 2024)

KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes. - Hwa Hui Tew; Gaoxuan Li; Fan Ding; Xuewen Luo; Junn Yong Loo; Chee-Ming Ting; Ze Yang Ding; Chee Pin Tan (SMC, 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)

PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving. - Xuewen Luo; Fan Ding; Yinsheng Song; Xiaofeng Zhang; Junn Yong Loo (CoRR, 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., 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., 2024)

ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing. - Hwa Hui Tew; Fan Ding; Gaoxuan Li; Junn Yong Loo; Chee-Ming Ting; Ze Yang Ding; Chee Pin Tan (ICASSP, 2025)

"What's Happening"- A Human-centered Multimodal Interpreter Explaining the Actions of Autonomous Vehicles. - Xuewen Luo; Fan Ding; Ruiqi Chen; Rishikesh Panda; Junnyong Loo; Shuyun Zhang (WACV (Workshops), 2025)

SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving. - Xuewen Luo; Fan Ding; Fengze Yang; Yang Zhou; Junnyong Loo; Hwa Hui Tew; Chenxi Liu (WACV (Workshops), 2025)

Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching. - Junn Yong Loo; Fang Yu Leong; Michelle Adeline; Julia Kaiwen Lau; Hwa Hui Tew; Arghya Pal; Vishnu Monn Baskaran; Chee-Ming Ting; Raphaël C.-W. Phan (Trans. Mach. Learn. Res., 2025)

Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection. - Quan Bi Pay; Vishnu Monn Baskaran; Junn Yong Loo; KokSheik Wong; Simon See (CoRR, 2025)

SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition. - Quan Bi Pay; Vishnu Monn Baskaran; Junn Yong Loo; KokSheik Wong; Simon See (CoRR, 2025)

GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction. - Fan Ding; Hwa Hui Tew; Junn Yong Loo; Susilawati; LiTong Liu; Fang Yu Leong; Xuewen Luo; Kar Keong Chin; Jia Jun Gan (CoRR, 2025)