| A multi-step wind-speed forecasting model based on WRF ensembles and fuzzy systems J Zhao, ZH Guo, ZY Su, ZY Zhao, X Xiao, F Liu* Applied Energy 162, 808-826, 2016 | 311* | 2016 |
| Analysis and application of forecasting models in wind power integration: A review of multi-step-ahead wind speed forecasting models J Wang, Y Song*, F Liu, R Hou Renewable and Sustainable Energy Reviews 60, 960-981, 2016 | 304 | 2016 |
| Learning Deep Kernels for Non-Parametric Two-Sample Tests F Liu, W Xu, J Lu, G Zhang, A Gretton, DJ Sutherland ICML 2020, 2020 | 272 | 2020 |
| Open Set Domain Adaptation: Theoretical Bound and Algorithm Z Fang, J Lu*, F Liu, J Xuan, G Zhang IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 | 241 | 2021 |
| Is Out-of-Distribution Detection Learnable? Z Fang, Y Li, J Lu, J Dong, B Han, F Liu NeurIPS 2022 (oral, outstanding paper award), 2022 | 209 | 2022 |
| Heterogeneous domain adaptation: An unsupervised approach F Liu, G Zhang, J Lu* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020 | 182 | 2020 |
| A cross-domain recommender system with consistent information transfer Q Zhang, D Wu, J Lu*, F Liu, G Zhang Decision Support Systems (DSS) 104, 49-63, 2017 | 151 | 2017 |
| Accumulating regional density dissimilarity for concept drift detection in data streams A Liu, J Lu*, F Liu, G Zhang Pattern Recognition (PR) 76, 256-272, 2018 | 142 | 2018 |
| Does deep learning help topic extraction? A kernel k-means clustering method with word embedding Y Zhang, J Lu, F Liu, Q Liu, A Porter, H Chen*, G Zhang Journal of Informetrics (JOI) 12 (4), 1099-1117, 2018 | 134 | 2018 |
| A hybrid forecasting model based on date-framework strategy and improved feature selection technology for short-term load forecasting P Jiang, F Liu*, Y Song Energy 119, 694-709, 2017 | 130 | 2017 |
| Multisource Heterogeneous Unsupervised Domain Adaptation via Fuzzy Relation Neural Networks F Liu, G Zhang, J Lu* IEEE Transactions on Fuzzy Systems (TFS), 2021 | 126 | 2021 |
| Analysis and forecasting of the particulate matter (PM) concentration levels over four major cities of China using hybrid models S Qin, F Liu*, J Wang, B Sun Atmospheric environment 98, 665-675, 2014 | 121 | 2014 |
| Bridging the Theoretical Bound and Deep Algorithms for Open Set Domain Adaptation L Zhong, Z Fang, F Liu, B Yuan, G Zhang, J Lu* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 | 118 | 2021 |
| Development of a hybrid model to predict construction and demolition waste: China as a case study Y Song, Y Wang*, F Liu, Y Zhang Waste management 59, 350-361, 2017 | 114 | 2017 |
| A dynamic-choice neural network for electricity price forecasting J Wang, F Liu*, Y Song, J Zhao Applied Soft Computing 48, 281-297, 2016 | 110* | 2016 |
| Semi-supervised Heterogeneous Domain Adaptation: Theory and Algorithms Z Fang, J Lu, F Liu, G Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 | 103 | 2022 |
| Maximum mean discrepancy test is aware of adversarial attacks R Gao, F Liu, J Zhang, B Han, T Liu, G Niu, M Sugiyama ICML 2021, 2021 | 102* | 2021 |
| Learning from a Complementary-label Source Domain: Theory and Algorithms Y Zhang, F Liu, Z Fang, B Yuan, G Zhang, J Lu* IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 | 102 | 2021 |
| The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze River Delta region Y Song, S Qin*, J Qu, F Liu Atmospheric Environment 118, 58-69, 2015 | 99 | 2015 |
| Probabilistic margins for instance reweighting in adversarial training Q Wang, F Liu, B Han, T Liu, C Gong, G Niu, M Zhou, M Sugiyama NeurIPS 2021, 2021 | 90* | 2021 |
Jie LU AO, FIEEE, FIFSA, FACS, Austr...Distinguished Professor, Director of Australian Artificial Intelligence InstituteVerified email at uts.edu.au
