Junn Yong Loo

According to our database, Junn Yong Loo authored at least 31 papers between 2019 and 2025.

Collaborative distances:

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

2025

Drive As You Like: Strategy-Level Motion Planning Based on A Multi-Head Diffusion Model.

Fan Ding, Xuewen Luo, Hwa Hui Tew, Ruturaj Reddy, Xikun Wang, Junn Yong Loo

CoRR, August, 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, August, 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, July, 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, July, 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

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models.

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

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

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

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

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

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

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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 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

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

Michelle Adeline, Junn Yong Loo, Vishnu Monn Baskaran

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.

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

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

Proceedings of the IEEE International Conference on Image Processing, 2024

An Ethical Decision Making Algorithm for Autonomous Vehicles During an Inevitable Collision.

Jingyao Tang, Xuewen Luo, Jinye Chen, Yuanyi Yuan, Junn Yong Loo

Proceedings of the 2024 4th International Conference on Big Data, 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