Hwa Hui Tew

According to our database, Hwa Hui Tew authored at least 9 papers between 2024 and 2025.

Collaborative distances:

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

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

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