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2020 – today
- 2025
[j4]Senlin Fang
, Haoran Ding, Yangjun Liu, Jiashu Liu, Yupo Zhang, Yilin Li, Hoiio Kong, Zhengkun Yi:
Evetac Meets Sparse Probabilistic Spiking Neural Network: Enhancing Snap-Fit Recognition Efficiency and Performance. IEEE Robotics Autom. Lett. 10(6): 5353-5360 (2025)- [j3]Yiwen Liu, Zhengkun Yi, Senlin Fang, Yupo Zhang, Feng Wan, Zhi-Xin Yang, Xu Lu, Xinyu Wu:
TactCLNet: Tactile Continual Learning Network Based on Generative Replay for Object Hardness Recognition. IEEE Trans Autom. Sci. Eng. 22: 10045-10055 (2025) - [j2]Yupo Zhang, Xiaoyu Li, Senlin Fang, Yiwen Liu, Jingnan Wang, Bo Yuan, Zhengkun Yi:
Multi-Branch Multi-Scale Channel Fusion Graph Convolutional Networks With Transfer Cost for Robotic Tactile Recognition Tasks. IEEE Trans Autom. Sci. Eng. 22: 11856-11868 (2025) - 2024
- [c4]Senlin Fang, Yiwen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu:
Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning. ICRA 2024: 530-536 - 2023
- [j1]Chengliang Liu, Zhengkun Yi, Binhua Huang, Zhenning Zhou, Senlin Fang, Xiaoyu Li, Yupo Zhang, Xinyu Wu:
A Deep Learning Method Based on Triplet Network Using Self-Attention for Tactile Grasp Outcomes Prediction. IEEE Trans. Instrum. Meas. 72: 1-14 (2023) - [c3]Xiaoyu Li, Jingnan Wang, Binhua Huang, Chengliang Liu, Yiwen Liu, Yupo Zhang, Zhengkun Yi, Xinyu Wu:
TGCN-P: A TCN-GCN Network With Weighted Graph Constructed by Pearson Correlation Coefficient for Human Motion Tracking. RCAR 2023: 310-315 - [c2]Chengliang Liu, Binhua Huang, Yiwen Liu, Yuanzhe Su, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu:
A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction. RCAR 2023: 737-742 - [c1]Yiwen Liu, Senlin Fang, Chengliang Liu, Jingnan Wang, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu:
Evaluation of Continual Learning Methods for Object Hardness Recognition. RCAR 2023: 823-828 - [i1]Chengliang Liu, Binhua Huang, Yiwen Liu, Yuanzhe Su, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu:
A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction. CoRR abs/2306.14437 (2023)
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