English | 繁體

Search in the results

UM

Browse/Search Results:  1-9 of 9 Help

Selected(0)Clear Items/Page:    Sort:
Dynamic single-cell mapping unveils Epstein‒Barr virus-imprinted T-cell exhaustion and on-treatment response Journal article
Qiu, Miao Zhen, Wang, Chaoye, Wu, Zhiying, Zhao, Qi, Zhao, Zhibin, Huang, Chun Yu, Wu, Wenwei, Yang, Li Qiong, Zhou, Zhi Wei, Zheng, Yu, Pan, Hong Ming, Liu, Zexian, Zeng, Zhao Lei, Luo, Hui Yan, Wang, Feng, Wang, Feng Hua, Yang, Si Yu, Huang, Meng Xing, Lian, Zhexiong, Zhang, Haiyan, Xu, Rui Hua. Dynamic single-cell mapping unveils Epstein‒Barr virus-imprinted T-cell exhaustion and on-treatment response[J]. Signal Transduction and Targeted Therapy, 2023, 8(1), 370.
Authors:  Qiu, Miao Zhen;  Wang, Chaoye;  Wu, Zhiying;  Zhao, Qi;  Zhao, Zhibin; et al.
Favorite | TC[WOS]:11 TC[Scopus]:12  IF:40.8/40.5 | Submit date：2024/01/02
Facile and Stable CuInO2 Nanoparticles for Efficient Electrochemical CO2 Reduction Journal article
Yin, Lihong, Li, Zhiqiang, Feng, Jinxian, Zhou, Pengfei, Qiao, Lulu, Liu, Di, Yi, Zhibin, Ip, Weng Fai, Luo, Guangfu, Pan, Hui. Facile and Stable CuInO2 Nanoparticles for Efficient Electrochemical CO2 Reduction[J]. ACS Applied Materials and Interfaces, 2023, 15(40), 47135-47144.
Authors:  Yin, Lihong;  Li, Zhiqiang;  Feng, Jinxian;  Zhou, Pengfei;  Qiao, Lulu; et al.
Favorite | TC[WOS]:8 TC[Scopus]:8  IF:8.3/8.7 | Submit date：2024/01/10
Cuino2 Nanoparticles  Electrocatalysts  Electrochemical Co2 Reduction Reaction  First-principles Calculations  Hydrogen Evolution Reaction  
Phytic acid-induced nitrogen configuration adjustment of active nitrogen-rich carbon nanosheets for high-performance potassium-ion storage Journal article
Ma, Liang, Li, Zhibin, Li, Jinliang, Dai, Yao, Qian, Chen, Zhu, Yaofeng, Wang, Hao, Hui, Kwun Nam, Pan, Likun, Amin, Mohammed A., Yamauchi, Yusuke, Mai, Wenjie. Phytic acid-induced nitrogen configuration adjustment of active nitrogen-rich carbon nanosheets for high-performance potassium-ion storage[J]. Journal of Materials Chemistry A, 2021, 9(45), 25445-25452.
Authors:  Ma, Liang;  Li, Zhibin;  Li, Jinliang;  Dai, Yao;  Qian, Chen; et al.
Favorite | TC[WOS]:20 TC[Scopus]:21  IF:10.7/10.8 | Submit date：2021/12/08
Insights on the mechanism of Na-ion storage in expanded graphite anode Journal article
Li,Xiaodan, Liu,Zhibin, Li,Jinliang, Lei,Hang, Zhuo,Wenchen, Qin,Wei, Cai,Xiang, Hui,Kwun Nam, Pan,Likun, Mai,Wenjie. Insights on the mechanism of Na-ion storage in expanded graphite anode[J]. Journal of Energy Chemistry, 2021, 53, 56-62.
Authors:  Li,Xiaodan;  Liu,Zhibin;  Li,Jinliang;  Lei,Hang;  Zhuo,Wenchen; et al.
Favorite | TC[WOS]:43 TC[Scopus]:44  IF:14.0/12.3 | Submit date：2021/03/11
Expanded Graphite  Na-ion Batteries  Operando Raman Spectroscopies  Sodiation-desodiation Process  
Generalization Performance of Regularized Ranking with Multiscale Kernels Journal article
Zhou Yicong, Chen Hong, Lan Rushi, Pan Zhibin. Generalization Performance of Regularized Ranking with Multiscale Kernels[J]. IEEE Transactions on Neural Networks and Learning Systems, 2016, 27(5), 993-1002.
Authors:  Zhou Yicong;  Chen Hong;  Lan Rushi;  Pan Zhibin
Favorite | TC[WOS]:10 TC[Scopus]:9 | Submit date：2018/12/21
Drug Discovery  Generalization Performance  Multiscale Kernel  Ranking  Recommendation Tasks  Reproducing Kernel Hilbert Space (Rkhs)  
Extreme learning machine for ranking: generalization analysis and applications Journal article
Chen Hong, Peng Jiangtao, Zhou Yicong, Li Luoqing, Pan Zhibin. Extreme learning machine for ranking: generalization analysis and applications[J]. Neural Networks, 2014, 53, 119-126.
Authors:  Chen Hong;  Peng Jiangtao;  Zhou Yicong;  Li Luoqing;  Pan Zhibin
Favorite | TC[WOS]:48 TC[Scopus]:53 | Submit date：2018/10/30
Coefficient Regularization  Extreme Learning Machine  Generalization Bound  Learning Theory  Ranking  
Generalization performance of support vector classifiers for density level detection Journal article
Hong Chen, Yicong Zhou, Yi Tang, Yuan Yan Tang, Zhibin Pan. Generalization performance of support vector classifiers for density level detection[J]. Neurocomputing, 2013, 119, 434-438.
Authors:  Hong Chen;  Yicong Zhou;  Yi Tang;  Yuan Yan Tang;  Zhibin Pan
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:5.5/5.5 | Submit date：2018/12/21
Density Level Detection  Iterative Technique  Learning Rate  Rademacher Average  
Convergence rate of the semi-supervised greedy algorithm Journal article
Hong Chen, Yicong Zhou, Yuan Yan Tang, Luoqing Li, Zhibin Pan. Convergence rate of the semi-supervised greedy algorithm[J]. Neural Networks, 2013, 44, 44-50.
Authors:  Hong Chen;  Yicong Zhou;  Yuan Yan Tang;  Luoqing Li;  Zhibin Pan
Favorite | TC[WOS]:17 TC[Scopus]:19  IF:6.0/7.9 | Submit date：2018/12/21
Semi-supervised Learning  Sparse  Greedy Algorithm  Data-dependent Hypothesis Space  Generalization Error  
Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection Journal article
Hong Chen, Zhibin Pan, Luoqing Li, Yuanyan Tang. Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection[J]. Neural Computation, 2013, 25(4), 1107-1121.
Authors:  Hong Chen;  Zhibin Pan;  Luoqing Li;  Yuanyan Tang
Favorite | TC[WOS]:22 TC[Scopus]:21  IF:2.7/4.1 | Submit date：2019/04/30