Transformation-gated LSTM: efficient capture of short-term mutation dependencies for multivariate time series prediction tasks. - Jun Hu 009; Wendong Zheng (IJCNN, 2019)

An Adaptive Optimization Algorithm Based on Hybrid Power and Multidimensional Update Strategy. - Jun Hu 009; Wendong Zheng (IEEE Access, 2019)

Online weakly paired similarity learning for surface material retrieval. - Wendong Zheng; Huaping Liu 001; Bowen Wang 006; Fuchun Sun 001 (Ind. Robot, 2019)

Cross-Modal Surface Material Retrieval Using Discriminant Adversarial Learning. - Wendong Zheng; Huaping Liu 001; Bowen Wang 006; Fuchun Sun 001 (IEEE Trans. Ind. Informatics, 2019)

Multistage attention network for multivariate time series prediction. - Jun Hu 009; Wendong Zheng (Neurocomputing, 2020)

A deep learning model to effectively capture mutation information in multivariate time series prediction. - Jun Hu 009; Wendong Zheng (Knowl. Based Syst., 2020)

Cross-modal learning for material perception using deep extreme learning machine. - Wendong Zheng; Huaping Liu 001; Bowen Wang 006; Fuchun Sun 001 (Int. J. Mach. Learn. Cybern., 2020)

Cross-Modal Material Perception for Novel Objects: A Deep Adversarial Learning Method. - Wendong Zheng; Huaping Liu 001; Bowen Wang 006; Fuchun Sun 001 (IEEE Trans Autom. Sci. Eng., 2020)

Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism. - Wendong Zheng; Putian Zhao; Kai Huang 001; Gang Chen 023 (CIKM, 2021)

Lifelong Visual-Tactile Cross-Modal Learning for Robotic Material Perception. - Wendong Zheng; Huaping Liu 001; Fuchun Sun 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

An Accurate GRU-Based Power Time-Series Prediction Approach With Selective State Updating and Stochastic Optimization. - Wendong Zheng; Gang Chen 023 (IEEE Trans. Cybern., 2022)

Towards Effective Training of Robust Spiking Recurrent Neural Networks Under General Input Noise via Provable Analysis. - Wendong Zheng; Yu Zhou 029; Gang Chen 023; Zonghua Gu 001; Kai Huang (ICCAD, 2023)

Adaptive Optimal Electrical Resistance Tomography for Large-Area Tactile Sensing. - Wendong Zheng; Huaping Liu 001; Di Guo; Wuqiang Yang (ICRA, 2023)

A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning Under Concept-Drift Environment. - Wendong Zheng; Putian Zhao; Gang Chen 023; Huihui Zhou; Yonghong Tian 001 (IEEE Trans. Knowl. Data Eng., 2023)

Multivariate Time Series Prediction Based on Temporal Change Information Learning Method. - Wendong Zheng; Jun Hu 009 (IEEE Trans. Neural Networks Learn. Syst., 2023)

A Large-area Tactile Sensor for Distributed Force Sensing Using Highly Sensitive Piezoresistive Sponge. - Wendong Zheng; Kun Liu; Di Guo; Wuqiang Yang; Jun Zhu; Huaping Liu 001 (ICRA, 2024)

Data-driven electrical resistance tomography for robotic large-area tactile sensing. - Wendong Zheng; Huaping Liu 001; Xiaofeng Liu; Fuchun Sun 001 (Sci. China Inf. Sci., 2024)

LGFormer: A Local-Global Dynamic Attention Window Transformer for Speech Emotion Recognition. - Jiahao Li; Yinfeng Yu; Liejun Wang; Wendong Zheng (CSCWD, 2025)

Conditional Diffusion Model for Electrical Impedance Tomography. - Duanpeng Shi; Wendong Zheng; Di Guo; Huaping Liu 001 (IEEE Trans. Instrum. Meas., 2025)

A Flexible Electrical Capacitance Tomography Sensor for Proximity Object Recognition. - Xiaoli Xu; Xudong Guo; Wendong Zheng; Huaping Liu 001 (IEEE Trans. Instrum. Meas., 2025)