| Learning under concept drift: A review J Lu, A Liu, F Dong, F Gu, J Gama, G Zhang IEEE transactions on knowledge and data engineering 31 (12), 2346-2363, 2018 | 2413 | 2018 |
| Recommender system application developments: a survey J Lu, D Wu, M Mao, W Wang, G Zhang Decision support systems 74, 12-32, 2015 | 2300 | 2015 |
| Transfer learning using computational intelligence: A survey J Lu, V Behbood, P Hao, H Zuo, S Xue, G Zhang Knowledge-Based Systems 80, 14-23, 2015 | 1186 | 2015 |
| Multi-objective group decision making: methods, software and applications with fuzzy set techniques J Lu, G Zhang, D Ruan, F Wu Imperial College Press, 2007 | 679 | 2007 |
| Artificial intelligence in recommender systems Q Zhang, J Lu, Y Jin Complex & intelligent systems 7 (1), 439-457, 2021 | 608 | 2021 |
| Gesture recognition using a bioinspired learning architecture that integrates visual data with somatosensory data from stretchable sensors M Wang, Z Yan, T Wang, P Cai, S Gao, Y Zeng, C Wan, H Wang, L Pan, ... Nature Electronics 3 (9), 563-570, 2020 | 533 | 2020 |
| A kernel fuzzy c-means clustering based fuzzy support vector machine algorithm for classification problems with outliers or noises X Yang, G Zhang, J Lu, J Ma Fuzzy Systems, IEEE Transactions on 19 (1), 105-115, 2011 | 458* | 2011 |
| Cognition in business decision support systems L Niu, J Lu, G Zhang Cognition-Driven Decision Support for Business Intelligence: Models …, 2009 | 389* | 2009 |
| Task-based system load balancing in cloud computing using particle swarm optimization F Ramezani, J Lu, FK Hussain International journal of parallel programming 42 (5), 739-754, 2014 | 350 | 2014 |
| A personalized e-learning material recommender system J Lu Macquarie Scientific Publishing, 2004 | 296 | 2004 |
| A customer churn prediction model in telecom industry using boosting N Lu, H Lin, J Lu, G Zhang IEEE Transactions on Industrial Informatics 10 (2), 1659-1665, 2012 | 289 | 2012 |
| Learning deep kernels for non-parametric two-sample tests F Liu, W Xu, J Lu, G Zhang, A Gretton, DJ Sutherland International conference on machine learning, 6316-6326, 2020 | 272 | 2020 |
| Ontology-supported case-based reasoning approach for intelligent m-Government emergency response services K Amailef, J Lu Decision Support Systems 55 (1), 79-97, 2013 | 246 | 2013 |
| A hybrid fuzzy-based personalized recommender system for telecom products/services Z Zhang, H Lin, K Liu, D Wu, G Zhang, J Lu Information Sciences 235, 117-129, 2013 | 242 | 2013 |
| 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 32 (10), 4309-4322, 2020 | 241 | 2020 |
| Concept drift detection via competence models N Lu, G Zhang, J Lu Artificial Intelligence 209, 11-28, 2014 | 240 | 2014 |
| Operation properties and δ-equalities of complex fuzzy sets G Zhang, TS Dillon, KY Cai, J Ma, J Lu International journal of approximate reasoning 50 (8), 1227-1249, 2009 | 240 | 2009 |
| Topic analysis and forecasting for science, technology and innovation: Methodology with a case study focusing on big data research Y Zhang, G Zhang, H Chen, AL Porter, D Zhu, J Lu Technological forecasting and social change 105, 179-191, 2016 | 235 | 2016 |
| An extended Kuhn–Tucker approach for linear bilevel programming C Shi, J Lu, G Zhang Applied Mathematics and Computation 162 (1), 51-63, 2005 | 232 | 2005 |
| Deep uncertainty quantification: A machine learning approach for weather forecasting B Wang, J Lu, Z Yan, H Luo, T Li, Y Zheng, G Zhang Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 218 | 2019 |
Anjin LiuAI Lab, Commonwealth Bank; AAII, University of Technology SydneyVerified email at uts.edu.au
