Junn Yong Loo

Postdoc, Nanyang Technological University

Lecturer, Monash University, Malaysia Campus

Joined

January 2023

Names

Junn Yong Loo (Preferred)

Emails

****@monash.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Career & Education History

Postdoc

Nanyang Technological University (ntu.edu.sg)

2026 – Present

Lecturer

Monash University, Malaysia Campus (monash.edu.my)

2023 – 2026

Advisors, Relations & Conflicts

PhD Advisor

Chee Pin Tan

Present

Expertise

generative models

particle filtering

robotics

2023 – Present

Publications

Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification
Hwa Hui Tew, Junn Yong Loo, Leong Fang Yu, Julia K. Lau, Ding Fan, Hernando Ombao, Raphael CW Phan, Chee Pin Tan, Chee-Ming Ting
- ICLR 2026 Poster
- Readers: Everyone
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo, Leong Fang Yu, Michelle Adeline, Julia K. Lau, Hwa Hui Tew, Arghya Pal, VISHNU MONN BASKARAN, Chee-Ming Ting, Raphael CW Phan
- Accepted by TMLR
- Readers: Everyone
SenseRAG: Constructing Environmental Knowledge Bases with Proactive Querying for LLM-Based Autonomous Driving
Xuewen Luo, Fan Ding, Fengze Yang, Yang Zhou, Junn Yong Loo, Hwa Hui Tew, Chenxi Liu
- CoRR 2025
- Readers: Everyone
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
- CoRR 2025
- Readers: Everyone
"What's Happening"- A Human-centered Multimodal Interpreter Explaining the Actions of Autonomous Vehicles
Xuewen Luo, Fan Ding, Ruiqi Chen, Rishikesh Panda, Junn Yong Loo, Shuyun Zhang
- CoRR 2025
- Readers: Everyone
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
- CoRR 2025
- Readers: Everyone
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
- Readers: Everyone
Variational Potential Flow: A Novel Probabilistic Framework for Energy-Based Generative Modelling
Junn Yong Loo, Julia K. Lau, Chee-Ming Ting, VISHNU MONN BASKARAN, Raphael CW Phan, Chee Pin Tan
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
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
- Readers: Everyone
Service and End of Rally Detection in Badminton Videos
See Shin Yue, Mohd Fikree Hassan, Ganesh Krishnasamy, Junn Yong Loo, Raveendran Paramesran
- ISACE 2024
- Readers: Everyone

View all 35 publications

Co-Authors

View all 50 co-authors