| 2025 | ICASSP | 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 |
| 2025 | ICIP | Guided Diffusion For Class-Conditioned Synthesis & Classification Of Microscopic Blood Cell Images. | Kar-Ee Hoh, Junn Yong Loo, Yee-Fan Tan, Raphal C.-W. Phan, Chee-Ming Ting |
| 2025 | ICIP | Enhancing Autonomous Driving Perception Under Complex Weather Conditions Through Cyclegan-Based Driving Scene Generation. | Litong Liu, Gaoxuan Li, Yaya Huang, Yixuan Dong, Chee-Ming Ting, Junn Yong Loo |
| 2025 | IJCNN | 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 |
| 2025 | IJCNN | SpaRTAN: Spatial Reinforcement Token-based Aggregation Network for Visual Recognition. | Quan Bi Pay, Vishnu Monn Baskaran, Junn Yong Loo, KokSheik Wong, Simon See |
| 2025 | IJCNN | Contrastive Denoising Variational Recurrent Neural Network for Noise-Agnostic State Modeling of Soft Robotic Systems. | Shageenderan Sapai, Vishnu Monn Baskaran, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan |
| 2025 | IROS | Contrastive Autoencoder for Robust State Modelling of Soft Robots in Incomplete and Noisy Environments. | Shageenderan Sapai, Vishnu Monn Baskaran, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan |
| 2025 | MICCAI | 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, Raphal C.-W. Phan, Chee-Ming Ting |
| 2024 | ICASSP | 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, Raphal C.-W. Phan, Hernando Ombao |
| 2024 | ICIP | 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, Raphal C.-W. Phan |
| 2024 | IJCAI | 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, Raphal C.-W. Phan, Adeel Razi, David L. Dowe |
| 2024 | IROS | MDHA: Multi-Scale Deformable Transformer with Hybrid Anchors for Multi-View 3D Object Detection. | Michelle Adeline, Junn Yong Loo, Vishnu Monn Baskaran |
| 2024 | SMC | 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 |
| 2024 | SMC | 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 |
| 2024 | SMC | 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 |
| 2023 | ICRA | 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, Raphal C.-W. Phan, Vishnu Monn Baskaran, Surya Girinatha Nurzaman |