TGCN-P: A TCN-GCN Network With Weighted Graph Constructed by Pearson Correlation Coefficient for Human Motion Tracking. - Xiaoyu Li; Jingnan Wang; Binhua Huang; Chengliang Liu 004; Yiwen Liu; Yupo Zhang; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

Evaluation of Continual Learning Methods for Object Hardness Recognition. - Yiwen Liu; Senlin Fang; Chengliang Liu 004; Jingnan Wang; Ke Mai; Yupo Zhang; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction. - Chengliang Liu 004; Binhua Huang; Yiwen Liu; Yuanzhe Su; Ke Mai; Yupo Zhang; Zhengkun Yi; Xinyu Wu 001 (RCAR, 2023)

A Deep Learning Method Based on Triplet Network Using Self-Attention for Tactile Grasp Outcomes Prediction. - Chengliang Liu 004; Zhengkun Yi; Binhua Huang; Zhenning Zhou; Senlin Fang; Xiaoyu Li; Yupo Zhang; Xinyu Wu 001 (IEEE Trans. Instrum. Meas., 2023)

Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning. - Senlin Fang; Yiwen Liu; Chengliang Liu 004; Jingnan Wang; Yuanzhe Su; Yupo Zhang; Hoiio Kong; Zhengkun Yi; Xinyu Wu 001 (ICRA, 2024)

TactCLNet: Tactile Continual Learning Network Based on Generative Replay for Object Hardness Recognition. - Yiwen Liu; Zhengkun Yi; Senlin Fang; Yupo Zhang; Feng Wan; Zhi-Xin Yang 001; Xu Lu 002; Xinyu Wu 001 (IEEE Trans Autom. Sci. Eng., 2025)

Multi-Branch Multi-Scale Channel Fusion Graph Convolutional Networks With Transfer Cost for Robotic Tactile Recognition Tasks. - Yupo Zhang; Xiaoyu Li; Senlin Fang; Yiwen Liu; Jingnan Wang; Bo Yuan 006; Zhengkun Yi (IEEE Trans Autom. Sci. Eng., 2025)

Evetac Meets Sparse Probabilistic Spiking Neural Network: Enhancing Snap-Fit Recognition Efficiency and Performance. - Senlin Fang; Haoran Ding; Yangjun Liu; Jiashu Liu; Yupo Zhang; Yilin Li; Hoiio Kong; Zhengkun Yi (IEEE Robotics Autom. Lett., 2025)