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Time-Varying ADN Load Modeling Considering the Suppression of the Plateau Phenomenon and Continuous Low-Quality Data Journal article
Wang, Peng, Zhang, Zhenyuan, Chen, Chenxu, Huang, Qi, Dai, Ningyi, Lee, Wei Jen. Time-Varying ADN Load Modeling Considering the Suppression of the Plateau Phenomenon and Continuous Low-Quality Data[J]. IEEE Transactions on Industry Applications, 2024, 60(5), 7451-7460.
Authors:  Wang, Peng;  Zhang, Zhenyuan;  Chen, Chenxu;  Huang, Qi;  Dai, Ningyi; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:4.2/4.5 | Submit date：2024/11/05
Active Distribution Network  Continuous Low-quality Data  Improved Synthesis Load Model  Target Parameter Selection  Time-varying Parameter Identification  
Vendor selection in the wake of data breaches: A longitudinal study Journal article
Wang, Qian, Jiang, Shenyang, Ngai, Eric W.T., Huo, Baofeng. Vendor selection in the wake of data breaches: A longitudinal study[J]. Journal of Operations Management, 2024, 70(4), 568-599.
Authors:  Wang, Qian;  Jiang, Shenyang;  Ngai, Eric W.T.;  Huo, Baofeng
Favorite | TC[WOS]:3 TC[Scopus]:4  IF:6.5/9.2 | Submit date：2024/05/16
Attention-based View  Data Breach  Electronic Medical Record Systems  Information Security  Information Technology Outsourcing  Vendor Selection  
Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling Journal article
Kuok, Sin Chi, Yuen, Ka Veng. Bayesian synergistic metamodeling (BSM) for physical information infused data-driven metamodeling[J]. Computer Methods in Applied Mechanics and Engineering, 2023, 419, 116680.
Authors:  Kuok, Sin Chi;  Yuen, Ka Veng
Favorite | TC[WOS]:4 TC[Scopus]:4  IF:6.9/6.7 | Submit date：2024/02/22
Bayesian Inference  Data-driven Modeling  Model Class Selection  Physical-inspired Modeling  Synergistic Metamodeling  Uncertainty Quantification  
A Hybrid Medium and Long-Term Relative Humidity Point and Interval Prediction Method for Intensive Poultry Farming Journal article
Yin, Hang, Wu, Zeyu, Wu, Junchao, Jiang, Junjie, Chen, Yalin, Chen, Mingxuan, Luo, Shixuan, Gao, Lijun. A Hybrid Medium and Long-Term Relative Humidity Point and Interval Prediction Method for Intensive Poultry Farming[J]. Mathematics, 2023, 11(14), 3247.
Authors:  Yin, Hang;  Wu, Zeyu;  Wu, Junchao;  Jiang, Junjie;  Chen, Yalin; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.3/2.2 | Submit date：2023/09/25
Attention Mechanism  Bigru  Data Denoising  Feature Selection  Interval Prediction  Kde-gaussian  Medium And Long-term Point Prediction  
Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process Journal article
Jintao Huang, Wenbin Qian, Chi Man Vong, Weiping Ding, Wenhao Shu, Qin Huang. Multi-Label Feature Selection via Label Enhancement and Analytic Hierarchy Process[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(5), 1377 - 1393.
Authors:  Jintao Huang;  Wenbin Qian;  Chi Man Vong;  Weiping Ding;  Wenhao Shu; et al.
Favorite | TC[WOS]:7 TC[Scopus]:8  IF:5.3/5.7 | Submit date：2023/08/03
Feature Selection  Label Enhancement  Multi-label Data  Analytic Hierarchy Process  Label Correlation  
Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation Journal article
Ka-Veng Yuen, Wen-Jing Zhang, Wang-Ji Yan. Bayesian nonparametric general regression with adaptive kernel bandwidth and its application to seismic attenuation[J]. Advanced Engineering Informatics, 2022, 55, 101859.
Authors:  Ka-Veng Yuen;  Wen-Jing Zhang;  Wang-Ji Yan
Favorite | TC[WOS]:6 TC[Scopus]:7  IF:8.0/8.2 | Submit date：2023/02/08
Adaptive Bandwidth  General Regression  Model Class Selection  Seismic Attenuation  Sparse Data  Variable Selection  
A robust Glasso approach to portfolio selection in high dimensions Journal article
Wenliang Ding, Lianjie Shu, Xinhua Gu. A robust Glasso approach to portfolio selection in high dimensions[J]. Journal of Empirical Finance, 2022, 70, 22-37.
Authors:  Wenliang Ding;  Lianjie Shu;  Xinhua Gu
Favorite | TC[WOS]:2 TC[Scopus]:2  IF:2.1/3.0 | Submit date：2023/02/10
Data Contamination  Glasso  Hedge Relation  High Dimension  Portfolio Selection  Robust Estimation  
Real-time and Cost-effective Smart Mat System based on Frequency Channel Selection for Sleep Posture Recognition in IoMT Journal article
Diao, Haikang, Chen, Chen, Liu, Xiangyu, Yuan, Wei, Amara, Amara, Tamura, Toshiyo, Lo, Benny, Fan, Jiahao, Meng, Long, Pun, Sio Hang, Zhang, Yuan Ting, Chen, Wei. Real-time and Cost-effective Smart Mat System based on Frequency Channel Selection for Sleep Posture Recognition in IoMT[J]. IEEE Internet of Things Journal, 2022, 9(21), 21421-21431.
Authors:  Diao, Haikang;  Chen, Chen;  Liu, Xiangyu;  Yuan, Wei;  Amara, Amara; et al.
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:8.2/9.0 | Submit date：2022/08/05
Classification Algorithms  Complexity Theory  Data Acquisition  Embedded Systems  Frequency Channel Selection  Iomt  Low-cost  Medical Services  Real-time  Real-time Systems  Sleep Apnea  Sleep Posture Recognition  Smart Mat System  
Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index Journal article
Qian, Wenbin, Dong, Ping, Dai, Shiming, Huang, Jintao, Wang, Yinglong. Incomplete label distribution feature selection based on neighborhood-tolerance discrimination index[J]. APPLIED SOFT COMPUTING, 2022, 130, 109693.
Authors:  Qian, Wenbin;  Dong, Ping;  Dai, Shiming;  Huang, Jintao;  Wang, Yinglong
Favorite | TC[WOS]:6 TC[Scopus]:9  IF:7.2/7.0 | Submit date：2022/12/01
Feature Selection  Granular Computing  Incomplete Data  Label Distribution  Neighborhood-tolerance  Rough Sets  
A Novel Time-Varying Parameter Identification Approach for Load Model in Active Distribution Network Conference paper
Peng Wang, Zhenyuan Zhang, Qi Huang, Ningyi Dai, Wei-Jen Lee. A Novel Time-Varying Parameter Identification Approach for Load Model in Active Distribution Network[C], 2022.
Authors:  Peng Wang;  Zhenyuan Zhang;  Qi Huang;  Ningyi Dai;  Wei-Jen Lee
Favorite | TC[Scopus]:1 | Submit date：2023/01/30
Active Distribution Network  Improved Synthesis Load Model  Time-varying Parameter Identification  Target Parameter Selection  Continuous Low-quality Data