| A survey on security and privacy issues of blockchain technology. AP Joshi, M Han, Y Wang Mathematical foundations of computing 1 (2), 2018 | 380 | 2018 |
| A XGBoost risk model via feature selection and Bayesian hyper-parameter optimization Y Wang, XS Ni arXiv preprint arXiv:1901.08433, 2019 | 110 | 2019 |
| Deep learning approach for cyberattack detection Y Zhou, M Han, L Liu, JS He, Y Wang IEEE INFOCOM 2018-IEEE conference on computer communications workshops …, 2018 | 108 | 2018 |
| Lstm recurrent neural networks for influenza trends prediction L Liu, M Han, Y Zhou, Y Wang Bioinformatics Research and Applications: 14th International Symposium …, 2018 | 60 | 2018 |
| Improving iot services in smart-home using blockchain smart contract Y Zhou, M Han, L Liu, Y Wang, Y Liang, L Tian 2018 IEEE International Conference on Internet of Things (iThings) and IEEE …, 2018 | 50 | 2018 |
| Understanding data breach: A visualization aspect L Liu, M Han, Y Wang, Y Zhou Wireless Algorithms, Systems, and Applications: 13th International …, 2018 | 32 | 2018 |
| Risk prediction of peer-to-peer lending market by a LSTM model with macroeconomic factor Y Wang, XS Ni Proceedings of the 2020 ACM Southeast Conference, 181-187, 2020 | 14* | 2020 |
| Predicting class-imbalanced business risk using resampling, regularization, and model ensembling algorithms Y Wang, XS Ni arXiv preprint arXiv:1903.05535, 2019 | 14 | 2019 |
| Binary classification on past due of service accounts using logistic regression and decision tree Y Wang, JL Priestley | 13 | 2017 |
| Improving investment suggestions for peer-to-peer lending via integrating credit scoring into profit scoring Y Wang, XS Ni Proceedings of the 2020 ACM Southeast Conference, 141-148, 2020 | 11 | 2020 |
| A two-stage hybrid model by using artificial neural networks as feature construction algorithms Y Wang, XS Ni, B Stone arXiv preprint arXiv:1812.02546, 2018 | 10 | 2018 |
| Improving risk modeling via feature selection, hyper-parameter adjusting, and model ensembling Y Wang, XS Ni, J Priestley | 5 | 2020 |
| A XGBoost risk model via feature selection and Bayesian hyper-parameter optimisation. arXiv Y Wang, XS Ni arXiv preprint arXiv:1901.08433, 2019 | 4 | 2019 |
| An automatic interaction detection hybrid model for bankcard response classification Y Wang, XS Ni, B Stone 2018 5th International Conference on Systems and Informatics (ICSAI), 1111-1119, 2018 | 4 | 2018 |
| Developing and improving risk models using machine-learning based algorithms Y Wang, XS Ni Proceedings of the 2019 ACM Southeast Conference, 281-282, 2019 | 3 | 2019 |
| Building Neural Network Model in Base SAS®(From Scratch) 2 S Mandalapu, Y Wang, XS Ni FEED FORWARD AND BACKWARD PROPAGATION NEURAL NETWORK, 1-20, 2018 | 2 | 2018 |
| Towards profitability: A profit-sensitive multinomial logistic regression for credit scoring in peer-to-peer lending Y Wang, XS Ni, X Huang Proceedings of the Future Technologies Conference, 696-718, 2022 | 1 | 2022 |
| Data-driven Investment Decisions in P2P Lending: Strategies of Integrating Credit Scoring and Profit Scoring Y Wang | 1 | 2020 |
| A Survey of Machine Learning Methodologies for Loan Evaluation in Peer-to-Peer (P2P) Lending Y Wang, XS Ni Data Analytics for Management, Banking and Finance: Theories and Application …, 2023 | | 2023 |
| Time-variant nonparametric extreme quantile estimation with application to US temperature data M Chowdhury, B Gadidov, L Le, Y Wang, L VanBrackle South African Statistical Journal 55 (2), 87-108, 2021 | | 2021 |
Xuelei Sherry NiKennesaw State UniversityVerified email at kennesaw.edu
