Zhengkun Yi

50 papers A* 1A 2C 1Journal 34Unranked 12
YearRankTypeTitle / Venue / Authors
2025 J jnl
Comprehensive Performance Optimization of a Novel Anthropomorphic Dexterous Hand.
IEEE Robotics Autom. Lett.
Yifan Ma, Weiwei Shang, Fei Zhang, Shunxiang Pang, Shuqing Dai, Zhengkun Yi, Guotao Li, Shuang Cong
2025 J jnl
Estimating Lyapunov Region of Attraction for Robust Model-Based Reinforcement Learning USV.
IEEE Trans Autom. Sci. Eng.
Lei Xia, Yunduan Cui, Zhengkun Yi, Huiyun Li, Xinyu Wu
2025 — conf
Event-Based Optical Tactile Sensor and Sparse Transformer for Robust Snap-Fit Recognition.
ROBIO
Bozhan Cao, Senlin Fang, Zeqin Lin, Manqin Zeng, Zhengkun Yi
2025 J jnl
Evetac Meets Sparse Probabilistic Spiking Neural Network: Enhancing Snap-Fit Recognition Efficiency and Performance.
IEEE Robotics Autom. Lett.
Senlin Fang, Haoran Ding, Yangjun Liu, Jiashu Liu, Yupo Zhang, Yilin Li, Hoiio Kong, Zhengkun Yi
2025 J jnl
Hierarchical Loss Constraint Filter for Low-Visibility Tiny Crack Detection.
IEEE Trans Autom. Sci. Eng.
Lijing Zheng, Zhengkun Yi, Tiantian Xu, Can Wang, Wanfeng Shang
2025 J jnl
Multi-Branch Multi-Scale Channel Fusion Graph Convolutional Networks With Transfer Cost for Robotic Tactile Recognition Tasks.
IEEE Trans Autom. Sci. Eng.
Yupo Zhang, Xiaoyu Li, Senlin Fang, Yiwen Liu, Jingnan Wang, Bo Yuan, Zhengkun Yi
2025 J jnl
Reducing the value function over-estimation by Kullback-Leibler divergence regularized distributional actor-critic.
Appl. Intell.
Mingrong Gong, Zhengkun Yi, Yidong Chen, Huiyun Li, Yunduan Cui
2025 — conf
SF-Net: A Force-Based, Formula-Enhanced Residual Bi-LSTM for Snap-Fit State Classification.
ROBIO
Manqin Zeng, Chengliang Liu, Bozhan Cao, Shu Zhang, Zhengkun Yi
2025 J jnl
Semisupervised Domain Adaptation for Wafer Map Defect Recognition via Cross-Alignment Network.
IEEE Trans. Instrum. Meas.
Yiru Wang, Peng Wu, Senlin Fang, Bozhan Cao, Xinyu Wu, Xu Lu, Zhengkun Yi
2025 J jnl
Spatial-Temporal Transformer for Single RGB-D Camera Synchronous Tracking and Reconstruction of Non-rigid Dynamic Objects.
Int. J. Comput. Vis.
Xiaofei Liu, Zhengkun Yi, Xin-Yu Wu, Wanfeng Shang
2025 J jnl
TactCLNet: Tactile Continual Learning Network Based on Generative Replay for Object Hardness Recognition.
IEEE Trans Autom. Sci. Eng.
Yiwen Liu, Zhengkun Yi, Senlin Fang, Yupo Zhang, Feng Wan, Zhi-Xin Yang, Xu Lu, Xinyu Wu
2024 J jnl
A Shortcut Enhanced LSTM-GCN Network for Multi-Sensor Based Human Motion Tracking.
IEEE Trans Autom. Sci. Eng.
Xiaoyu Li, Chaoxiang Ye, Binhua Huang, Zhenning Zhou, Yuanzhe Su, Yue Ma, Zhengkun Yi, Xinyu Wu
2024 J jnl
Deformation Estimator Network-Based Feedback Control for Wearable Exoskeleton With Body Disturbances: Toward Stable and Dynamic Walking.
IEEE Trans. Syst. Man Cybern. Syst.
Dingkui Tian, Feng Li, Ming Yang, Ziqiang Chen, Jinke Li, Zhengkun Yi, Li Zhang, Xinyu Wu
2024 J jnl
Dynamic liquid volume estimation using optical tactile sensors and spiking neural network.
Intell. Serv. Robotics
Binhua Huang, Senlin Fang, Meng Yin, Zhengkun Yi, Chaoxiang Ye, Xiaoyu Li, Zhenning Zhou, Xinyu Wu
2024 J jnl
Entropy-guided robust feature domain adaptation for electroencephalogram-based cross-dataset drowsiness recognition.
Eng. Appl. Artif. Intell.
Liqiang Yuan, Jian Cui, Ruilin Li, Zhong Zheng, Mohammed Yakoob Siyal, Zhengkun Yi
2024 J jnl
Large-Margin Extreme Learning Machines With Hybrid Features for Wafer Map Defect Recognition.
IEEE Trans. Instrum. Meas.
Zhengkun Yi, Wanfeng Shang, Dong Wang, Meng Yin, Chunjie Chen, Wei Feng, Xinyu Wu
2024 A* conf
Probabilistic Spiking Neural Network for Robotic Tactile Continual Learning.
ICRA
Senlin Fang, Yiwen Liu, Chengliang Liu, Jingnan Wang, Yuanzhe Su, Yupo Zhang, Hoiio Kong, Zhengkun Yi, Xinyu Wu
2024 J jnl
Surface Recognition With a Tactile Finger Based on Automatic Features Transferred From Deep Learning.
IEEE Trans. Instrum. Meas.
Longhui Qin, Xiaowei Shi, Wenhui Yang, Zhengxu Qin, Zhengkun Yi, Hui-Min Shen
2024 J jnl
The Human-Machine Interface Design Based on sEMG and Motor Imagery EEG for Lower Limb Exoskeleton Assistance System.
IEEE Trans. Instrum. Meas.
Wenju Li, Yue Ma, Keyong Shao, Zhengkun Yi, Wujing Cao, Meng Yin, Tiantian Xu, Xinyu Wu
2023 J jnl
A Deep Learning Method Based on Triplet Network Using Self-Attention for Tactile Grasp Outcomes Prediction.
IEEE Trans. Instrum. Meas.
Chengliang Liu, Zhengkun Yi, Binhua Huang, Zhenning Zhou, Senlin Fang, Xiaoyu Li, Yupo Zhang, Xinyu Wu
2023 — conf
A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction.
RCAR
Chengliang Liu, Binhua Huang, Yiwen Liu, Yuanzhe Su, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu
2023 J jnl
A Self-supervised Contrastive Learning Method for Grasp Outcomes Prediction.
CoRR
Chengliang Liu, Binhua Huang, Yiwen Liu, Yuanzhe Su, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu
2023 — conf
Attention-enhanced BLSTM Network for Liquid Volume Estimation based on Tactile Sensing.
RCAR
Yuanzhe Su, Jingnan Wang, Binhua Huang, Xiaoyu Li, Yiwen Liu, Chengliang Liu, Zhenning Zhou, Zhengkun Yi, Xinyu Wu
2023 — conf
Evaluation of Continual Learning Methods for Object Hardness Recognition.
RCAR
Yiwen Liu, Senlin Fang, Chengliang Liu, Jingnan Wang, Ke Mai, Yupo Zhang, Zhengkun Yi, Xinyu Wu
2023 — conf
GelPixel: A Single-Pixel-Based Tactile Sensor.
RCAR
Binhua Huang, Xiaoyu Li, Putra Sumari, Chaoxiang Ye, Zhenning Zhou, Meng Yin, Zhengkun Yi, Xinyu Wu
2023 J jnl
Genetic Algorithm-Based Ensemble Hybrid Sparse ELM for Grasp Stability Recognition With Multimodal Tactile Signals.
IEEE Trans. Ind. Electron.
Zhengkun Yi, Tiantian Xu, Wanfeng Shang, Weimin Li, Xinyu Wu
2023 J jnl
Prediction of Contralateral Lower-Limb Joint Angles Using Vibroarthrography and Surface Electromyography Signals in Time-Series Network.
IEEE Trans Autom. Sci. Eng.
Can Wang, Bailin He, Wenhao Wei, Zhengkun Yi, Pengbo Li, Shengcai Duan, Xinyu Wu
2023 — conf
TGCN-P: A TCN-GCN Network With Weighted Graph Constructed by Pearson Correlation Coefficient for Human Motion Tracking.
RCAR
Xiaoyu Li, Jingnan Wang, Binhua Huang, Chengliang Liu, Yiwen Liu, Yupo Zhang, Zhengkun Yi, Xinyu Wu
2023 J jnl
TactONet: Tactile Ordinal Network Based on Unimodal Probability for Object Hardness Classification.
IEEE Trans Autom. Sci. Eng.
Senlin Fang, Zhengkun Yi, Tingting Mi, Zhenning Zhou, Chaoxiang Ye, Wanfeng Shang, Tiantian Xu, Xinyu Wu
2023 — conf
Underwater Object Detection Based on DN-DETR.
RCAR
Ke Mai, Wen Cheng, Jingnan Wang, Shilan Liu, Yiru Wang, Zhengkun Yi, Xinyu Wu
2022 — conf
Depth Recognition of Hard Inclusions in Tissue Phantoms for Robotic Palpation.
RCAR
Zhenning Zhou, Senlin Fang, Chaoxiang Ye, Tingting Mi, Binhua Huang, Xiaoyu Li, Zhengkun Yi, Xinyu Wu
2022 J jnl
Ensemble learning method based on temporal, spatial features with multi-scale filter banks for motor imagery EEG classification.
Biomed. Signal Process. Control.
Liangsheng Zheng, Wei Feng, Yue Ma, Pengchen Lian, Yang Xiao, Zhengkun Yi, Xinyu Wu
2022 J jnl
Iterative Outlier Removal Clustering Based Time-Frequency-Spatial Feature Selection for Binary EEG Motor Imagery Decoding.
IEEE Trans. Instrum. Meas.
Yue Ma, Xinyu Wu, Liangsheng Zheng, Pengchen Lian, Yang Xiao, Zhengkun Yi
2022 J jnl
Local Discriminant Subspace Learning for Gas Sensor Drift Problem.
IEEE Trans. Syst. Man Cybern. Syst.
Zhengkun Yi, Wanfeng Shang, Tiantian Xu, Shifeng Guo, Xinyu Wu
2022 A conf
Magnetic Field Modeling of Linear Halbach Array for Wallclimbing Robot Based on Radial Basis Function Neural Network.
IROS
Xiaofei Liu, Zhengkun Yi, Xinyu Wu, Wanfeng Shang
2022 J jnl
Methods to Recognize Depth of Hard Inclusions in Soft Tissue Using Ordinal Classification for Robotic Palpation.
IEEE Trans. Instrum. Meas.
Zhenning Zhou, Binhua Huang, Runzhi Zhang, Meng Yin, Chengliang Liu, Yiwen Liu, Zhengkun Yi, Xinyu Wu
2022 J jnl
Neighborhood Preserving and Weighted Subspace Learning Method for Drift Compensation in Gas Sensor.
IEEE Trans. Syst. Man Cybern. Syst.
Zhengkun Yi, Wanfeng Shang, Tiantian Xu, Xinyu Wu
2022 J jnl
Touch Modality Identification With Tensorial Tactile Signals: A Kernel-Based Approach.
IEEE Trans Autom. Sci. Eng.
Zhengkun Yi, Tiantian Xu, Wanfeng Shang, Xinyu Wu
2021 — conf
Short-Time Fourier Transform Covariance and Selection, A Feature Extraction Method for Binary Motor Imagery Classification.
RCAR
Yue Ma, Liangsheng Zheng, Zhengkun Yi, Yang Xiao, Can Wang, Xinyu Wu
2021 — conf
TactCapsNet: Tactile Capsule Network for Object Hardness Recognition.
RCAR
Senlin Fang, Tingting Mi, Zhenning Zhou, Chaoxiang Ye, Chengliang Liu, Hancheng Wu, Zhengkun Yi, Xinyu Wu
2021 — conf
Tactile Grasp Stability Classification Based on Graph Convolutional Networks.
RCAR
Tingting Mi, Dashun Que, Senlin Fang, Zhenning Zhou, Chaoxiang Ye, Chengliang Liu, Zhengkun Yi, Xinyu Wu
2021 J jnl
Tactile Surface Roughness Categorization With Multineuron Spike Train Distance.
IEEE Trans Autom. Sci. Eng.
Zhengkun Yi, Tiantian Xu, Shifeng Guo, Wanfeng Shang, Xinyu Wu
2020 J jnl
Discriminative dimensionality reduction for sensor drift compensation in electronic nose: A robust, low-rank, and sparse representation method.
Expert Syst. Appl.
Zhengkun Yi
2020 C conf
Multimodal Surface Material Classification Based on Ensemble Learning with Optimized Features.
HealthCom
Xiang Liu, Hancheng Wu, Senlin Fang, Zhengkun Yi, Xinyu Wu
2019 J jnl
A spike train distance-based method to evaluate the response of mechanoreceptive afferents.
Neural Comput. Appl.
Zhengkun Yi, Yilei Zhang
2019 J jnl
Anti-Drift in Electronic Nose via Dimensionality Reduction: A Discriminative Subspace Projection Approach.
IEEE Access
Zhengkun Yi, Cheng Li
2019 J jnl
Anti-drift in electronic nose via dimensionality reduction: a discriminative subspace projection approach.
CoRR
Zhengkun Yi, Cheng Li
2019 J jnl
Gait Phase Classification and Assist Torque Prediction for a Lower Limb Exoskeleton System Using Kernel Recursive Least-Squares Method.
Sensors
Yue Ma, Xinyu Wu, Can Wang, Zhengkun Yi, Guoyuan Liang
2017 J jnl
Recognizing tactile surface roughness with a biomimetic fingertip: A soft neuromorphic approach.
Neurocomputing
Zhengkun Yi, Yilei Zhang
2016 A conf
Active tactile object exploration with Gaussian processes.
IROS
Zhengkun Yi, Roberto Calandra, Filipe Veiga, Herke van Hoof, Tucker Hermans, Yilei Zhang, Jan Peters