| A market-oriented hierarchical scheduling strategy in cloud workflow systems Z Wu, X Liu, Z Ni, D Yuan, Y Yang The Journal of Supercomputing 63, 256-293, 2013 | 392 | 2013 |
| A revised discrete particle swarm optimization for cloud workflow scheduling Z Wu, Z Ni, L Gu, X Liu 2010 international conference on computational intelligence and security …, 2010 | 311 | 2010 |
| A novel statistical time-series pattern based interval forecasting strategy for activity durations in workflow systems X Liu, Z Ni, D Yuan, Y Jiang, Z Wu, J Chen, Y Yang Journal of Systems and Software 84 (3), 354-376, 2011 | 84 | 2011 |
| A novel swarm model with quasi-oppositional particle C Zhang, Z Ni, Z Wu, L Gu 2009 International Forum on Information Technology and Applications 1, 325-330, 2009 | 46 | 2009 |
| A novel general framework for automatic and cost-effective handling of recoverable temporal violations in scientific workflow systems X Liu, Z Ni, Z Wu, D Yuan, J Chen, Y Yang Journal of Systems and Software 84 (3), 492-509, 2011 | 43 | 2011 |
| Handling recoverable temporal violations in scientific workflow systems: a workflow rescheduling based strategy X Liu, J Chen, Z Wu, Z Ni, D Yuan, Y Yang 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid …, 2010 | 42 | 2010 |
| A conceptual framework for business intelligence as a service (saas bi) T Liyang, N Zhiwei, W Zhangjun, W Li 2011 Fourth International Conference on Intelligent Computation Technology …, 2011 | 33 | 2011 |
| Opposition based comprehensive learning particle swarm optimization Z Wu, Z Ni, C Zhang, L Gu 2008 3rd International conference on intelligent system and knowledge …, 2008 | 26 | 2008 |
| An ensemble method with DenseNet and evidential reasoning rule for machinery fault diagnosis under imbalanced condition G Wang, Y Zhang, F Zhang, Z Wu Measurement 214, 112806, 2023 | 20 | 2023 |
| Feature fusion based ensemble method for remaining useful life prediction of machinery G Wang, H Li, F Zhang, Z Wu Applied Soft Computing 129, 109604, 2022 | 16 | 2022 |
| Triple Attention-based deep convolutional recurrent network for soft sensors X Yao, H Zhu, G Wang, Z Wu, W Chu Measurement 202, 111897, 2022 | 10 | 2022 |
| Hierarchical graph neural network with adaptive cross-graph fusion for remaining useful life prediction G Wang, Y Zhang, M Lu, Z Wu Measurement Science and Technology 34 (5), 055112, 2023 | 9 | 2023 |
| A denoising and multiscale residual deep network for soft sensor modeling of industrial processes R Gao, H Zhu, G Wang, Z Wu Measurement Science and Technology 33 (10), 105117, 2022 | 9 | 2022 |
| A holistic semi-supervised method for imbalanced fault diagnosis of rotational machinery with out-of-distribution samples Z Wu, R Xu, Y Luo, H Shao Reliability Engineering & System Safety 250, 110297, 2024 | 8 | 2024 |
| Ensemble pruning of ELM via migratory binary glowworm swarm optimization and margin distance minimization X Zhu, Z Ni, L Ni, F Jin, M Cheng, Z Wu Neural Processing Letters 52, 2043-2067, 2020 | 4 | 2020 |
| Air pollution index prediction model of SVM based on fractal manifold learning LI Ping, NI Zhiwei, ZHU Xuhui, WU Zhangjun Journal of Systems Science and Mathematical Sciences 38 (11), 1296, 2018 | 4 | 2018 |
| Bidirectional shrinkage gated recurrent unit network with multiscale attention mechanism for multisensor fault diagnosis G Wang, Y Li, Y Wang, Z Wu, M Lu IEEE Sensors Journal, 2023 | 3 | 2023 |
| Research on incentive strategy based on service quality in spatial crowdsourcing task allocation P Peng, Z Ni, Z Wu, X Zhu, P Xia Journal of Intelligent & Fuzzy Systems 43 (5), 5551-5566, 2022 | 3 | 2022 |
| An End-to-end Deep Clustering Method with Consistency and Complementarity Attention Mechanism for Multisensor Fault Diagnosis Z Wu, G Fang, Y Wang, R Xu Applied Soft Computing 158, 111594, 2024 | 2 | 2024 |
| Fusing global features and local information for COVID-19 detection with X-ray images M Wang, Z Wu, X Wang Signal, Image and Video Processing 18 (3), 2643-2657, 2024 | 1 | 2024 |
Xiao LiuAssociate Professor, School of Information Technology, Deakin University, Melbourne, AustraliaVerified email at deakin.edu.au