Hwa Hui Tew

According to our database, Hwa Hui Tew authored at least 15 papers between 2024 and 2026.

Collaborative distances:

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

2026

A Deep Probabilistic Flow-Based Framework for Unsupervised Cross-Domain Soft Sensing.

Junn Yong Loo, Hwa Hui Tew, Fang Yu Leong, Ze Yang Ding, Vishnu Monn Baskaran, Chee-Ming Ting, Chee Pin Tan

IEEE Trans. Ind. Informatics, May, 2026

Functional MRI Time Series Generation via Wavelet-Based Image Transform and Spectral Flow Matching for Brain Disorder Identification.

Hwa Hui Tew, Junn Yong Loo, Fang Yu Leong, Julia Kaiwen Lau, Fan Ding, Hernando Ombao, Raphaël C.-W. Phan, Chee Pin Tan, Chee-Ming Ting

CoRR, May, 2026

KnowDiffuser: A Knowledge-Guided Diffusion Planner with LLM Reasoning.

Fan Ding, Xuewen Luo, Fengze Yang, Bo Yu, Hwa Hui Tew, Ganesh Krishnasamy, Junn Yong Loo

CoRR, March, 2026

A Multi-Modal Variational Hypergraph Autoencoder for Structural-Functional Brain Connectivity Analysis.

Chyong Yi Poh, Fuad Noman, Yee-Fan Tan, Hwa Hui Tew, Junn Yong Loo, Raphaël C.-W. Phan, Chee-Ming Ting

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

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

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

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

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

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

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

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