Ze Yang Ding

According to our database, Ze Yang Ding authored at least 6 papers between 2020 and 2023.

Collaborative distances:

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

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

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

CoRR, 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