| 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 | 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 |
| 2025 | WACV | 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 |
| 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 | FedBChain: A Blockchain-Enabled Federated Learning Framework for Improving DeepConvLSTM with Comparative Strategy Insights. | Gaoxuan Li, Chern Hong Lim, Qiyao Ma, Xinyu Tang, Hwa Hui Tew, Fan Ding, Xuewen Luo |
| 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 |