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A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-Dimensional American Options Journal article
Zhuang, Jirong, Ding, Deng, Lu, Weiguo, Wu, Xuan, Yuan, Gangnan. A Gaussian Process Based Method with Deep Kernel Learning for Pricing High-Dimensional American Options[J]. Computational Economics, 2025.
Authors:  Zhuang, Jirong;  Ding, Deng;  Lu, Weiguo;  Wu, Xuan;  Yuan, Gangnan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.9/1.8 | Submit date：2025/01/22
Deep Kernel Learning  Gaussian Process  High-dimensional American Option  Machine Learning  Regression Based Monte Carlo Method  
Particle Breakage Prediction of Coral Sand Using Machine Learning Method Conference paper
Li, Xue, Zhou, Wan Huan, Wang, Chao. Particle Breakage Prediction of Coral Sand Using Machine Learning Method[C]:Springer Science and Business Media Deutschland GmbH, 2025, 247-256.
Authors:  Li, Xue;  Zhou, Wan Huan;  Wang, Chao
Favorite | TC[Scopus]:0 | Submit date：2025/01/22
Coral Sand  Machine Learning  Particle Breakage  Regression  
ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning Journal article
Wang, Yuhang, Zou, Bin, Xu, Jie, Xu, Chen, Tang, Yuan Yan. ALR-HT: A fast and efficient Lasso regression without hyperparameter tuning[J]. Neural Networks, 2025, 181.
Authors:  Wang, Yuhang;  Zou, Bin;  Xu, Jie;  Xu, Chen;  Tang, Yuan Yan
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:6.0/7.9 | Submit date：2025/01/22
Additive Models  Generalization Bound  Hyperparameter Tuning  Lasso Regression  Markov Resampling  Ridge Regression  
Interval Estimation and Tracking Method for Transmission Line Parameters Based on QR-BiGRU Neural Network and Interval Robust Augmented State Estimation Journal article
Zhang, Xu, Yan, Wei, Li, Hui, Lu, Zhengmei, Su, Xin. Interval Estimation and Tracking Method for Transmission Line Parameters Based on QR-BiGRU Neural Network and Interval Robust Augmented State Estimation[J]. Diangong Jishu Xuebao/Transactions of China Electrotechnical Society, 2024, 39(23), 7406-7417 + 7553.
Authors:  Zhang, Xu;  Yan, Wei;  Li, Hui;  Lu, Zhengmei;  Su, Xin
Favorite | TC[Scopus]:0 | Submit date：2024/12/26
Augmented State Estimation  Error Propagation  Interval Analysis  Parameter Estimation  Quantile Regression  
Energy Management Based on Mixed-Integer Nonlinear Model Predictive Control for Hybrid Electric Vehicles Journal article
Hou, Shengyan, Chen, Hong, Yin, Hai, Zhao, Jing, Xu, Fuguo, Gao, Jinwu. Energy Management Based on Mixed-Integer Nonlinear Model Predictive Control for Hybrid Electric Vehicles[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(11), 17432-17451.
Authors:  Hou, Shengyan;  Chen, Hong;  Yin, Hai;  Zhao, Jing;  Xu, Fuguo; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.9/8.3 | Submit date：2024/12/05
Battery Lifetime  Energy Management  Gaussian Process Regression  Hybrid Electric Vehicles  Mixed-integer Optimal Control Problem  
Consequences of Information Feed Integration on User Engagement and Contribution: A Natural Experiment in an Online Knowledge-Sharing Community Journal article
CAO ZIKE, ZHU YINGPENG, LI GEN, QIU LIANGFEI. Consequences of Information Feed Integration on User Engagement and Contribution: A Natural Experiment in an Online Knowledge-Sharing Community[J]. Information Systems Research, 2024, 35(3), 917-1506.
Authors:  CAO ZIKE;  ZHU YINGPENG;  LI GEN;  QIU LIANGFEI
Adobe PDF | Favorite | TC[WOS]:9 TC[Scopus]:8  IF:5.0/7.8 | Submit date：2024/08/29
Information Feed Integration  Online q&a Communities  User-generated Content (Ugc)  Image Concern  Natural Experiment  Regression DiscontInuity In Time (Rdit)  
Construction and optimization of small and medium-sized enterprise evaluation model based on genetic algorithm and gradient boosting regression tree Conference paper
Ma, Yuelong, Lai, Pengyu, Wan, Takhei, Zhu, Jun. Construction and optimization of small and medium-sized enterprise evaluation model based on genetic algorithm and gradient boosting regression tree[C], New York, NY, USA:Association for Computing Machinery, 2024, 172-176.
Authors:  Ma, Yuelong;  Lai, Pengyu;  Wan, Takhei;  Zhu, Jun
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Genetic Algorithm  Gradient Boosting Regression Tree  Performance Metrics  Small And Medium-sized Enterprise Share Transfer Information System  
A magnetic resonance imaging-based lymph node regression grading scheme for nasopharyngeal carcinoma after radiotherapy Journal article
Hui Yang, Liang, Zhiying, Liang, Jiahui, Cao, Di, Cao, Qin, Zhao, Feng, Zhang, Weijing, Kou, Kit Ian, Cui, Chunyan, Liu, Lizhi, Li, Haojiang, Peng, Zexue, Zhu, Siyu. A magnetic resonance imaging-based lymph node regression grading scheme for nasopharyngeal carcinoma after radiotherapy[J]. Quant Imaging Med Surg, 2024, 14(8), 5513-5525.
Authors:  Hui Yang;  Liang, Zhiying;  Liang, Jiahui;  Cao, Di;  Cao, Qin; et al.
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/3.2 | Submit date：2024/08/20
Nasopharyngeal Carcinoma (Npc)  Risk Stratification  Lymph Node Regression Grade (Lrg)  Epstein Barr Virus Dna (Ebv Dna)  Postradiotherapy  
A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy Journal article
Wang, Maofa, Gong, Qizhou, Wan, Quan, Leng, Zhixiong, Xu, Yanlin, Yan, Bingchen, Zhang, He, Huang, Hongliang, Sun, Shaohua. A fast interpretable adaptive meta-learning enhanced deep learning framework for diagnosis of diabetic retinopathy[J]. Expert Systems with Applications, 2024, 244, 123074.
Authors:  Wang, Maofa;  Gong, Qizhou;  Wan, Quan;  Leng, Zhixiong;  Xu, Yanlin; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:7.5/7.6 | Submit date：2024/05/16
Adaptive Meta-learning  Deep Learning  Few-shot Classification  Interpretability  Logistic Regression  
Destination competitiveness research over the past three decades: a computational literature review using topic modelling Journal article
Xia, Haiyang, Muskat, Birgit, Karl, Marion, Li, Gang, Law, Rob. Destination competitiveness research over the past three decades: a computational literature review using topic modelling[J]. Journal of Travel and Tourism Marketing, 2024, 41(5), 726-742.
Authors:  Xia, Haiyang;  Muskat, Birgit;  Karl, Marion;  Li, Gang;  Law, Rob
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:8.2/8.5 | Submit date：2024/05/16
Bertopic  Comprehensive Literature Analysis  Computational Literature Review  Destination Competitiveness  Machine Learning Algorithm  Ordinary Least Squares Regression  Text Mining  Topic Modelling  Tourism  Tourist Destination