Ze Yang Ding

According to our database, Ze Yang Ding authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

Joint Optimisation of Electric Vehicle Routing and Scheduling: A Deep Learning-Driven Approach for Dynamic Fleet Sizes.

Jun Kang Yap, Vishnu Monn Baskaran, Wen-Shan Tan, Ze Yang Ding, Hao Wang, David L. Dowe

CoRR, July, 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

Transformer-based Deep Learning Model for Joint Routing and Scheduling with Varying Electric Vehicle Numbers.

Jun Kang Yap, Vishnu Monn Baskaran, Wen-Shan Tan, Ze Yang Ding, Hao Wang, David L. Dowe

Proceedings of the IEEE Industry Applications Society Annual Meeting, 2025

2024

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., October, 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

2023

A Zero-Shot Soft Sensor Modeling Approach Using Adversarial Learning for Robustness Against Sensor Fault.

Ze Yang Ding, Junn Yong Loo, Surya Girinatha Nurzaman, Chee Pin Tan, Vishnu Monn Baskaran

IEEE Trans. Ind. Informatics, April, 2023

Unsupervised Cross-Domain Soft Sensor Modelling via Deep Physics-Inspired Particle Flow Bayes.

Junn Yong Loo, Ze Yang Ding, Surya Girinatha Nurzaman, Chee-Ming Ting, Vishnu Monn Baskaran, Chee Pin Tan

CoRR, 2023

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, Raphaël C.-W. Phan, Vishnu Monn Baskaran, Surya Girinatha Nurzaman

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2021

Predictive Uncertainty Estimation Using Deep Learning for Soft Robot Multimodal Sensing.

Ze Yang Ding, Junn Yong Loo, Vishnu Monn Baskaran, Surya Girinatha Nurzaman, Chee Pin Tan

IEEE Robotics Autom. Lett., 2021

2020

Future trends in I&M: Indirect sensing in soft robots using observers/filters.

Chee Pin Tan, Surya Girinatha Nurzaman, Junn Yong Loo, Ze Yang Ding

IEEE Instrum. Meas. Mag., 2020