| Tourism demand forecasting: A decomposed deep learning approach Y Zhang, G Li, B Muskat, R Law Journal of Travel Research 60 (5), 981-997, 2021 | 125 | 2021 |
| A survey on smart farming data, applications and techniques S De Alwis, Z Hou, Y Zhang, MH Na, B Ofoghi, A Sajjanhar Computers in Industry 138, 103624, 2022 | 118 | 2022 |
| Anomaly detection using XGBoost ensemble of deep neural network models ST Ikram, AK Cherukuri, B Poorva, PS Ushasree, Y Zhang, X Liu, G Li Cybernetics and information technologies 21 (3), 175-188, 2021 | 68 | 2021 |
| Group pooling for deep tourism demand forecasting Y Zhang, G Li, B Muskat, R Law, Y Yang Annals of Tourism Research 82, 102899, 2020 | 66 | 2020 |
| GANBLR: a tabular data generation model Y Zhang, NA Zaidi, J Zhou, G Li 2021 IEEE International Conference on Data Mining (ICDM), 181-190, 2021 | 26 | 2021 |
| Duo attention with deep learning on tomato yield prediction and factor interpretation S De Alwis, Y Zhang, M Na, G Li PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim …, 2019 | 25 | 2019 |
| On the use of Machine Learning Methods in Rock Art Research with Application to Automatic Painted Rock Art Identification A Jalandonia, Y Zhang, NA Zaidi Journal of Archaeological Science 144, 2022 | 16 | 2022 |
| Predictivity of tourism demand data Y Zhang, G Li, B Muskat, HQ Vu, R Law Annals of Tourism Research 89, 103234, 2021 | 13 | 2021 |
| Interpretable tabular data generation Y Zhang, N Zaidi, J Zhou, G Li Knowledge and Information Systems 65 (7), 2935-2963, 2023 | 10 | 2023 |
| GANBLR++: Incorporating Capacity to Generate Numeric Attributes and Leveraging Unrestricted Bayesian Networks Y Zhang, N Zaidi, J Zhou, G Li Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 5 | 2022 |
| Discretization inspired defence algorithm against adversarial attacks on tabular data J Zhou, N Zaidi, Y Zhang, G Li Pacific-Asia Conference on Knowledge Discovery and Data Mining, 367-379, 2022 | 4 | 2022 |
| Predicting user influence in the propagation of toxic information S Li, Y Zhang, P Jiang, Z Li, C Zhang, Q Liu Knowledge Science, Engineering and Management: 13th International Conference …, 2020 | 1 | 2020 |
| Effective interpretable learning for large-scale categorical data Y Zhang, N Zaidi, J Zhou, T Wang, G Li Data Mining and Knowledge Discovery, 1-29, 2024 | | 2024 |
| MEG: Masked Ensemble Tabular Data Generator Y Zhang, NA Zaidi, G Li, W Buntine 2023 IEEE International Conference on Data Mining (ICDM), 838-847, 2023 | | 2023 |
| Interpretable Tabular Data Generation GL Yishou Zhang, Nayyar Zaidi, Jiahui Zhou Knowledge and Information Systems(KAIS), 2022 | | 2022 |
| Topological graph representation learning on property graph Y Zhang, D Gao, AK Cherukuri, L Wang, S Pan, S Li International Conference on Knowledge Science, Engineering and Management, 53-64, 2020 | | 2020 |
Gang LiProfessor, Deakin UniversityDirección de correo verificada de deakin.edu.au