Junn Yong Loo

48 papers A* 2A 2B 7C 1Misc 2Journal 30Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
KnowDiffuser: A Knowledge-Guided Diffusion Planner with LLM Reasoning.
CoRR
Fan Ding, Xuewen Luo, Fengze Yang, Bo Yu, Hwa Hui Tew, Ganesh Krishnasamy, Junn Yong Loo
2026 J jnl
RAPiD: Real-time Deterministic Trajectory Planning via Diffusion Behavior Priors for Safe and Efficient Autonomous Driving.
CoRR
Ruturaj Reddy, Hrishav Bakul Barua, Junn Yong Loo, Thanh Thi Nguyen, Ganesh Krishnasamy
2026 J jnl
Seeing Roads Through Words: A Language-Guided Framework for RGB-T Driving Scene Segmentation.
CoRR
Ruturaj Reddy, Hrishav Bakul Barua, Junn Yong Loo, Thanh Thi Nguyen, Ganesh Krishnasamy
2025 J jnl
"What's Happening"- A Human-centered Multimodal Interpreter Explaining the Actions of Autonomous Vehicles.
CoRR
Xuewen Luo, Fan Ding, Ruiqi Chen, Rishikesh Panda, Junn Yong Loo, Shuyun Zhang
2025 J jnl
Brain-MGF: Multimodal Graph Fusion Network for EEG-fMRI Brain Connectivity Analysis Under Psilocybin.
CoRR
Sin-Yee Yap, Fuad Noman, Junn Yong Loo, Devon Stoliker, Moein Khajehnejad, Raphaël C.-W. Phan, David L. Dowe, Adeel Razi, Chee-Ming Ting
2025 B conf
Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection.
IJCNN
Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo, KokSheik Wong, Simon See
2025 J jnl
Conceptualizing Multi-scale Wavelet Attention and Ray-based Encoding for Human-Object Interaction Detection.
CoRR
Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo, KokSheik Wong, Simon See
2025 A conf
Contrastive Autoencoder for Robust State Modelling of Soft Robots in Incomplete and Noisy Environments.
IROS
Shageenderan Sapai, Vishnu Monn Baskaran, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan
2025 B conf
Contrastive Denoising Variational Recurrent Neural Network for Noise-Agnostic State Modeling of Soft Robotic Systems.
IJCNN
Shageenderan Sapai, Vishnu Monn Baskaran, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan
2025 J jnl
Drive As You Like: Strategy-Level Motion Planning Based on A Multi-Head Diffusion Model.
CoRR
Fan Ding, Xuewen Luo, Hwa Hui Tew, Ruturaj Reddy, Xikun Wang, Junn Yong Loo
2025 J jnl
GSMT: Graph Fusion and Spatiotemporal TaskCorrection for Multi-Bus Trajectory Prediction.
CoRR
Fan Ding, Hwa Hui Tew, Junn Yong Loo, Susilawati, LiTong Liu, Fang Yu Leong, Xuewen Luo, Kar Keong Chin, Jia Jun Gan
2025 J jnl
KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes.
CoRR
Hwa Hui Tew, Gaoxuan Li, Fan Ding, Xuewen Luo, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan
2025 J jnl
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching.
CoRR
Junn Yong Loo, Michelle Adeline, Julia Kaiwen Lau, Fang Yu Leong, Hwa Hui Tew, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphaël C.-W. Phan
2025 J jnl
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching.
Trans. Mach. Learn. Res.
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
2025 Misc conf
ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing.
ICASSP
Hwa Hui Tew, Fan Ding, Gaoxuan Li, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan
2025 J jnl
ST-HCSS: Deep Spatio-Temporal Hypergraph Convolutional Neural Network for Soft Sensing.
CoRR
Hwa Hui Tew, Fan Ding, Gaoxuan Li, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan
2025 J jnl
SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving.
CoRR
Xuewen Luo, Fan Ding, Fengze Yang, Yang Zhou, Junn Yong Loo, Hwa Hui Tew, Chenxi Liu
2025 B conf
SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition.
IJCNN
Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo, KokSheik Wong, Simon See
2025 J jnl
SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition.
CoRR
Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo, KokSheik Wong, Simon See
2025 — conf
T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models.
MICCAI (3)
Hwa Hui Tew, Junn Yong Loo, Yee-Fan Tan, Xinyu Tang, Hernando Ombao, Fuad Noman, Raphaël C.-W. Phan, Chee-Ming Ting
2025 J jnl
T2I-Diff: fMRI Signal Generation via Time-Frequency Image Transform and Classifier-Free Denoising Diffusion Models.
CoRR
Hwa Hui Tew, Junn Yong Loo, Yee-Fan Tan, Xinyu Tang, Hernando Ombao, Fuad Noman, Raphael C.-W. Phan, Chee-Ming Ting
2024 A* conf
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification.
IJCAI
Sin-Yee Yap, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Adeel Razi, David L. Dowe
2024 — conf
An Ethical Decision Making Algorithm for Autonomous Vehicles During an Inevitable Collision.
ICBAR
Jingyao Tang, Xuewen Luo, Jinye Chen, Yuanyi Yuan, Junn Yong Loo
2024 Misc conf
BrainFC-CGAN: A Conditional Generative Adversarial Network for Brain Functional Connectivity Augmentation and Aging Synthesis.
ICASSP
Yee-Fan Tan, Junn Yong Loo, Chee-Ming Ting, Fuad Noman, Raphaël C.-W. Phan, Hernando Ombao
2024 B conf
Cross-Domain Transfer Learning Using Attention Latent Features for Multi-Agent Trajectory Prediction.
SMC
Jia Quan Loh, Xuewen Luo, Fan Ding, Hwa Hui Tew, Junn Yong Loo, Ze Yang Ding, Susilawati, Chee Pin Tan
2024 J jnl
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Prediction.
CoRR
Jia Quan Loh, Xuewen Luo, Fan Ding, Hwa Hui Tew, Junn Yong Loo, Ze Yang Ding, Susilawati, Chee Pin Tan
2024 B conf
Deep Multi-Graph Embedded Clustering for Community Detection in FMRI Functional Brain Networks Across Individuals.
ICIP
Kai-Jun See, Chee-Ming Ting, Fuad Noman, Junn Yong Loo, Yee-Fan Tan, Hernando Ombao, Raphaël C.-W. Phan
2024 B conf
Energy-Efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles.
SMC
Fan Ding, Xuewen Luo, Gaoxuan Li, Hwa Hui Tew, Junn Yong Loo, Wai Tong Chor, A. S. M. Bakibillah, Ziyuan Zhao, Zhiyu Tao
2024 J jnl
Energy-efficient Hybrid Model Predictive Trajectory Planning for Autonomous Electric Vehicles.
CoRR
Fan Ding, Xuewen Luo, Gaoxuan Li, Hwa Hui Tew, Junn Yong Loo, Wai Tong Chor, A. S. M. Bakibillah, Ziyuan Zhao, Zhiyu Tao
2024 B conf
KANS: Knowledge Discovery Graph Attention Network for Soft Sensing in Multivariate Industrial Processes.
SMC
Hwa Hui Tew, Gaoxuan Li, Fan Ding, Xuewen Luo, Junn Yong Loo, Chee-Ming Ting, Ze Yang Ding, Chee Pin Tan
2024 A conf
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection.
IROS
Michelle Adeline, Junn Yong Loo, Vishnu Monn Baskaran
2024 J jnl
MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection.
CoRR
Michelle Adeline, Junn Yong Loo, Vishnu Monn Baskaran
2024 J jnl
PKRD-CoT: A Unified Chain-of-thought Prompting for Multi-Modal Large Language Models in Autonomous Driving.
CoRR
Xuewen Luo, Fan Ding, Yinsheng Song, Xiaofeng Zhang, Junn Yong Loo
2024 J jnl
Robust Vehicle Mass Estimation Using Recursive Least M-Squares Algorithm for Intelligent Vehicles.
IEEE Trans. Intell. Veh.
Wai Tong Chor, Chee Pin Tan, A. S. M. Bakibillah, Ziyuan Pu, Junn Yong Loo
2024 — conf
Service and End of Rally Detection in Badminton Videos.
ISACE
See Shin Yue, Mohd Fikree Hassan, Ganesh Krishnasamy, Junn Yong Loo, Raveendran Paramesran
2024 J jnl
Sigma-Point Kalman Filter With Nonlinear Unknown Input Estimation via Optimization and Data-Driven Approach for Dynamic Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Junn Yong Loo, Ze Yang Ding, Vishnu Monn Baskaran, Surya Girinatha Nurzaman, Chee Pin Tan
2024 J jnl
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling.
CoRR
Junn Yong Loo, Michelle Adeline, Arghya Pal, Vishnu Monn Baskaran, Chee-Ming Ting, Raphael C.-W. Phan
2023 J jnl
A Deep Probabilistic Spatiotemporal Framework for Dynamic Graph Representation Learning with Application to Brain Disorder Identification.
CoRR
Junn Yong Loo, Sin-Yee Yap, Fuad Noman, Raphael C.-W. Phan, Chee-Ming Ting
2023 J jnl
A Zero-Shot Soft Sensor Modeling Approach Using Adversarial Learning for Robustness Against Sensor Fault.
IEEE Trans. Ind. Informatics
Ze Yang Ding, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan, Vishnu Monn Baskaran
2023 A* conf
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework.
ICRA
Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphaël C.-W. Phan, Vishnu Monn Baskaran, Surya Girinatha Nurzaman
2023 J jnl
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework.
CoRR
Shageenderan Sapai, Junn Yong Loo, Ze Yang Ding, Chee Pin Tan, Raphael C.-W. Phan, Vishnu Monn Baskaran, Surya Girinatha Nurzaman
2023 J jnl
Sigma-point Kalman Filter with Nonlinear Unknown Input Estimation via Optimization and Data-driven Approach for Dynamic Systems.
CoRR
Junn Yong Loo, Ze Yang Ding, Vishnu Monn Baskaran, Surya Girinatha Nurzaman, Chee Pin Tan
2023 J jnl
Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes.
CoRR
Junn Yong Loo, Ze Yang Ding, Surya Girinatha Nurzaman, Chee-Ming Ting, Vishnu Monn Baskaran, Chee Pin Tan
2022 J jnl
Robust estimation of traffic density with missing data using an adaptive-R extended Kalman filter.
Appl. Math. Comput.
A. S. M. Bakibillah, Yong Hwa Tan, Junn Yong Loo, Chee Pin Tan, Md. Abdus Samad Kamal, Ziyuan Pu
2021 J jnl
Predictive Uncertainty Estimation Using Deep Learning for Soft Robot Multimodal Sensing.
IEEE Robotics Autom. Lett.
Ze Yang Ding, Junn Yong Loo, Vishnu Monn Baskaran, Surya Girinatha Nurzaman, Chee Pin Tan
2020 J jnl
Future trends in I&M: Indirect sensing in soft robots using observers/filters.
IEEE Instrum. Meas. Mag.
Chee Pin Tan, Surya Girinatha Nurzaman, Junn Yong Loo, Ze Yang Ding
2019 C conf
H-infinity based Extended Kalman Filter for State Estimation in Highly Non-linear Soft Robotic System.
ACC
Junn Yong Loo, Chee Pin Tan, Surya Girinatha Nurzaman
2019 — conf
Non-linear System Identification and State Estimation in a Pneumatic Based Soft Continuum Robot.
CCTA
Junn Yong Loo, Kah Chun Kong, Chee Pin Tan, Surya Girinatha Nurzaman