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Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System Journal article
Jie Du, Peng Liu, Chi Man Vong, Chuangquan Chen, Tianfu Wang, C. L.P. Chen. Class-Incremental Learning Method With Fast Update and High Retainability Based on Broad Learning System[J]. IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(8), 11332-11345.
Authors:  Jie Du;  Peng Liu;  Chi Man Vong;  Chuangquan Chen;  Tianfu Wang; et al.
Favorite | TC[WOS]:7 TC[Scopus]:6  IF:10.2/10.4 | Submit date：2023/08/03
Broad Learning System (Bls)  Catastrophic Forgetting  Class Correlations  Class-incremental Learning (Cil)  Recursive Update Rule  
A non-iterative partitioned computational method with the energy conservation property for time-variant dynamic systems Journal article
Yuan, Peng, Yuen, Ka Veng, Beer, Michael, Cai, C. S., Yan, Wangji. A non-iterative partitioned computational method with the energy conservation property for time-variant dynamic systems[J]. Mechanical Systems and Signal Processing, 2024, 209, 111105.
Authors:  Yuan, Peng;  Yuen, Ka Veng;  Beer, Michael;  Cai, C. S.;  Yan, Wangji
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:7.9/8.0 | Submit date：2024/04/02
Energy Conservation  Partitioned Computation  Stability And Accuracy  Time-variant Systems  Vehicle-bridge Interaction  
The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking Journal article
Ye,Shuo, Wang,Yu, Peng,Qinmu, You,Xinge, Philip Chen,C. L.. The Image Data and Backbone in Weakly Supervised Fine-Grained Visual Categorization: A Revisit and Further Thinking[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(1), 2-16.
Authors:  Ye,Shuo;  Wang,Yu;  Peng,Qinmu;  You,Xinge;  Philip Chen,C. L.
Favorite | TC[WOS]:4 TC[Scopus]:1  IF:8.3/7.1 | Submit date：2023/08/03
Fine-grained Visual Categorization  Deep Learning  Weakly Supervised Learning  
Double-Sided Sapphire Optrodes with Conductive Shielding Layers to Reduce Optogenetic Stimulation Artifacts Journal article
Shen, Junyu, Xu, Yanyan, Xiao, Zhengwen, Liu, Yuebo, Liu, Honghui, Wang, Fengge, Yan, Chaokun, Wang, Liyang, Chen, Changhao, Wu, Zhisheng, Liu, Yang, Mak, Peng Un, Vai, Mang I., Pun, Sio Hang, Lei, Tim C., Zhang, Baijun. Double-Sided Sapphire Optrodes with Conductive Shielding Layers to Reduce Optogenetic Stimulation Artifacts[J]. Micromachines, 2022, 13(11), 1836.
Authors:  Shen, Junyu;  Xu, Yanyan;  Xiao, Zhengwen;  Liu, Yuebo;  Liu, Honghui; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.0/3.0 | Submit date：2022/12/01
Double-sided Optrode  Electromagnetic Shielding Layers  Microelectrodes  Sapphire Substrate  Stimulation Artifacts  
Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning Journal article
Peng, Guangzhu, Chen, C. L.P., Yang, Chenguang. Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2022, 33(9), 4551-4561.
Authors:  Peng, Guangzhu;  Chen, C. L.P.;  Yang, Chenguang
Favorite | TC[WOS]:47 TC[Scopus]:54  IF:10.2/10.4 | Submit date：2022/05/13
Adaptive Control  Admittance Control  Neural Networks (Nns)  Reinforcement Learning (Rl)  Robot-environment Interaction  
A real-time correlational combination algorithm to improve SNR for multi-channel neural recordings Conference paper
Wang, Liyang, Pun, Sio Hang, Mak, Peng Un, Klug, Achim, Zhang, Bai Jun, Vai, Mang I., Lei, Tim C.. A real-time correlational combination algorithm to improve SNR for multi-channel neural recordings[C], IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2021, 213-216.
Authors:  Wang, Liyang;  Pun, Sio Hang;  Mak, Peng Un;  Klug, Achim;  Zhang, Bai Jun; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1 | Submit date：2022/05/13
Environmental rule enforcement and cash holdings: Evidence from a natural experiment Journal article
Jianhua Tan, Tao Chen, Peng Zhang, Kam C. Chan. Environmental rule enforcement and cash holdings: Evidence from a natural experiment[J]. Economic Modelling, 2021, 103, 105618.
Authors:  Jianhua Tan;  Tao Chen;  Peng Zhang;  Kam C. Chan
Favorite | TC[WOS]:11 TC[Scopus]:12  IF:4.2/4.2 | Submit date：2021/12/08
Agency Motives  Cash Holdings  Environmental Rule Enforcement  Precautionary Motives  
Influence of the surface material and illumination upon the performance of a microelectrode/electrolyte interface in optogenetics Journal article
Shen, Junyu, Xu, Yanyan, Xiao, Zhengwen, Liu, Yuebo, Liu, Honghui, Wang, Fengge, Yao, Wanqing, Yan, Zhaokun, Zhang, Minjie, Wu, Zhisheng, Liu, Yang, Pun, Sio Hang, Lei, Tim C., Vai, Mang I., Mak, Peng Un, Chen, Changhao, Zhang, Baijun. Influence of the surface material and illumination upon the performance of a microelectrode/electrolyte interface in optogenetics[J]. Micromachines, 2021, 12(9), 1061.
Authors:  Shen, Junyu;  Xu, Yanyan;  Xiao, Zhengwen;  Liu, Yuebo;  Liu, Honghui; et al.
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:3.0/3.0 | Submit date：2021/12/08
Microelectrode/electrolyte Interface  Optical Artifact  Optogenetics  Optrode  Photostability  Surface Material  
Neural-Learning-Based Force Sensorless Admittance Control for Robots with Input Deadzone Journal article
Peng, Guangzhu, Chen, C. L.Philip, He, Wei, Yang, Chenguang. Neural-Learning-Based Force Sensorless Admittance Control for Robots with Input Deadzone[J]. IEEE Transactions on Industrial Electronics, 2021, 68(6), 5184-5196.
Authors:  Peng, Guangzhu;  Chen, C. L.Philip;  He, Wei;  Yang, Chenguang
Favorite | TC[WOS]:45 TC[Scopus]:47  IF:7.5/8.0 | Submit date：2021/12/08
Adaptive Control  Admittance Control  Broad Learning  Force/torque Observer  Neural Networks (Nns)  
Modal-Regression-Based Structured Low-Rank Matrix Recovery for Multiview Learning Journal article
Xu, Jiamiao, Wang, Fangzhao, Peng, Qinmu, You, Xinge, Wang, Shuo, Jing, Xiao Yuan, Chen, C. L.Philip. Modal-Regression-Based Structured Low-Rank Matrix Recovery for Multiview Learning[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 32(3), 1204-1216.
Authors:  Xu, Jiamiao;  Wang, Fangzhao;  Peng, Qinmu;  You, Xinge;  Wang, Shuo; et al.
Favorite | TC[WOS]:8 TC[Scopus]:7  IF:10.2/10.4 | Submit date：2021/12/07
Block-diagonal Representation Learning  Cross-view Classification  Low-rank Representation  Multiview Learning