Di Wang

According to our database, Di Wang authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

An Adaptation-Aware Interactive Learning Approach for Multiple Operational Condition-Based Degradation Modeling.

Di Wang, Ying Wang, Xiaochen Xian, Bin Cheng

IEEE Trans. Neural Networks Learn. Syst., December, 2024

TCP-ARMA: A Tensor-Variate Time Series Forecasting Method.

Yu An, Di Wang, Lili Chen, Xi Zhang

IEEE Trans Autom. Sci. Eng., July, 2024

Joint Learning of Failure Mode Recognition and Prognostics for Degradation Processes.

Di Wang, Xiaochen Xian, Changyue Song

IEEE Trans Autom. Sci. Eng., April, 2024

An Integrated Deep Learning-Based Data Fusion and Degradation Modeling Method for Improving Prognostics.

Di Wang, Kaibo Liu

IEEE Trans Autom. Sci. Eng., April, 2024

Real-time Cyber-Physical Security Solution Leveraging an Integrated Learning-Based Approach.

Di Wang, Fangyu Li, Kaibo Liu, Xi Zhang

ACM Trans. Sens. Networks, March, 2024

A Latent Variable-Based Multitask Learning Approach for Degradation Modeling of Machines With Dependency and Heterogeneity.

Di Wang, Yuhui Wang, Xiaochen Xian

IEEE Trans. Instrum. Meas., 2024

Flexible Degradation Modeling via the Integration of Local Models and Importance Sampling.

Di Wang, Andi Wang, Changyue Song

IEEE Trans. Instrum. Meas., 2024

2023

Distribution-Agnostic Few-Shot Industrial Fault Diagnosis via Adaptation-Aware Optimal Feature Transport.

Ge Yu, Di Wang, Jinhai Liu, Xi Zhang

IEEE Trans. Ind. Informatics, April, 2023

Spatial Rank-Based Augmentation for Nonparametric Online Monitoring and Adaptive Sampling of Big Data Streams.

Xin Zan, Di Wang, Xiaochen Xian

Technometrics, April, 2023

A Control Chart for Monitoring Multivariate Spatiotemporal Correlated Data During Grain Storage.

Xingyu Wang, Di Wang

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

An Entropy- and Attention-Based Feature Extraction and Selection Network for Multi-Target Coupling Scenarios.

Yuhui Wang, Di Wang

Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022

A Generic Indirect Deep Learning Approach for Multisensor Degradation Modeling.

Di Wang, Kaibo Liu, Xi Zhang

IEEE Trans Autom. Sci. Eng., 2022

A Data Fusion-Based LSTM Network for Degradation Modeling Under Multiple Operational Conditions.

Ying Wang, Di Wang

Proceedings of the 18th IEEE International Conference on Automation Science and Engineering, 2022

2020

Spatiotemporal Multitask Learning for 3-D Dynamic Field Modeling.

Di Wang, Kaibo Liu, Xi Zhang, Hui Wang

IEEE Trans Autom. Sci. Eng., 2020

Spatiotemporal Thermal Field Modeling Using Partial Differential Equations With Time-Varying Parameters.

Di Wang, Kaibo Liu, Xi Zhang

IEEE Trans Autom. Sci. Eng., 2020

2019

Dynamic Field Monitoring Based on Multitask Learning in Sensor Networks.

Di Wang, Xi Zhang

Sensors, 2019

Modeling of a three-dimensional dynamic thermal field under grid-based sensor networks in grain storage.

Di Wang, Kaibo Liu, Xi Zhang

IISE Trans., 2019

2017

Modeling grain quality characteristics via dynamic models using sensing data.

Di Wang, Xi Zhang

Proceedings of the IEEE/SICE International Symposium on System Integration, 2017

2015

A prediction method for interior temperature of grain storage via dynamics models: A simulation study.

Di Wang, Xi Zhang

Proceedings of the IEEE International Conference on Automation Science and Engineering, 2015