Wendong Zheng

According to our database, Wendong Zheng authored at least 15 papers between 2019 and 2023.

Collaborative distances:

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

2023

Multivariate Time Series Prediction Based on Temporal Change Information Learning Method.

Wendong Zheng, Jun Hu

IEEE Trans. Neural Networks Learn. Syst., October, 2023

A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning Under Concept-Drift Environment.

Wendong Zheng, Putian Zhao, Gang Chen, Huihui Zhou, Yonghong Tian

IEEE Trans. Knowl. Data Eng., July, 2023

Adaptive Optimal Electrical Resistance Tomography for Large-Area Tactile Sensing.

Wendong Zheng, Huaping Liu, Di Guo, Wuqiang Yang

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

Towards Effective Training of Robust Spiking Recurrent Neural Networks Under General Input Noise via Provable Analysis.

Wendong Zheng, Yu Zhou, Gang Chen, Zonghua Gu, Kai Huang

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022

An Accurate GRU-Based Power Time-Series Prediction Approach With Selective State Updating and Stochastic Optimization.

Wendong Zheng, Gang Chen

IEEE Trans. Cybern., 2022

2021

Lifelong Visual-Tactile Cross-Modal Learning for Robotic Material Perception.

Wendong Zheng, Huaping Liu, Fuchun Sun

IEEE Trans. Neural Networks Learn. Syst., 2021

Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism.

Wendong Zheng, Putian Zhao, Kai Huang, Gang Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Cross-Modal Material Perception for Novel Objects: A Deep Adversarial Learning Method.

Wendong Zheng, Huaping Liu, Bowen Wang, Fuchun Sun

IEEE Trans Autom. Sci. Eng., 2020

Cross-modal learning for material perception using deep extreme learning machine.

Wendong Zheng, Huaping Liu, Bowen Wang, Fuchun Sun

Int. J. Mach. Learn. Cybern., 2020

A deep learning model to effectively capture mutation information in multivariate time series prediction.

Jun Hu, Wendong Zheng

Knowl. Based Syst., 2020

Multistage attention network for multivariate time series prediction.

Jun Hu, Wendong Zheng

Neurocomputing, 2020

2019

Cross-Modal Surface Material Retrieval Using Discriminant Adversarial Learning.

Wendong Zheng, Huaping Liu, Bowen Wang, Fuchun Sun

IEEE Trans. Ind. Informatics, 2019

Online weakly paired similarity learning for surface material retrieval.

Wendong Zheng, Huaping Liu, Bowen Wang, Fuchun Sun

Ind. Robot, 2019

An Adaptive Optimization Algorithm Based on Hybrid Power and Multidimensional Update Strategy.

Jun Hu, Wendong Zheng

IEEE Access, 2019

Transformation-gated LSTM: efficient capture of short-term mutation dependencies for multivariate time series prediction tasks.

Jun Hu, Wendong Zheng

Proceedings of the International Joint Conference on Neural Networks, 2019