| Graph neural networks for graphs with heterophily: A survey X Zheng, Y Wang, Y Liu, M Li, M Zhang, D Jin, PS Yu, S Pan arXiv preprint arXiv:2202.07082, 2022 | 173 | 2022 |
| Deadline‐constrained coevolutionary genetic algorithm for scientific workflow scheduling in cloud computing L Liu, M Zhang, R Buyya, Q Fan Concurrency and Computation: Practice and Experience 29 (5), e3942, 2017 | 133 | 2017 |
| Overcoming multi-model forgetting in one-shot NAS with diversity maximization M Zhang, H Li, S Pan, X Chang, S Su Proceedings of the ieee/cvf conference on computer vision and pattern …, 2020 | 90 | 2020 |
| A survey on workflow management and scheduling in cloud computing L Liu, M Zhang, Y Lin, L Qin 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2014 | 83 | 2014 |
| idarts: Differentiable architecture search with stochastic implicit gradients M Zhang, SW Su, S Pan, X Chang, EM Abbasnejad, R Haffari International Conference on Machine Learning, 12557-12566, 2021 | 68 | 2021 |
| One-shot neural architecture search: Maximising diversity to overcome catastrophic forgetting M Zhang, H Li, S Pan, X Chang, C Zhou, Z Ge, S Su IEEE Transactions on Pattern Analysis and Machine Intelligence 43 (9), 2921-2935, 2020 | 64 | 2020 |
| Ligusticum chuanxiong exerts neuroprotection by promoting adult neurogenesis and inhibiting inflammation in the hippocampus of ME cerebral ischemia rats M Wang, M Yao, J Liu, N Takagi, B Yang, M Zhang, L Xu, J Ren, X Fan, ... Journal of Ethnopharmacology 249, 112385, 2020 | 59 | 2020 |
| Convolutional neural networks-based lung nodule classification: A surrogate-assisted evolutionary algorithm for hyperparameter optimization M Zhang, H Li, S Pan, J Lyu, S Ling, S Su IEEE Transactions on Evolutionary Computation 25 (5), 869-882, 2021 | 58 | 2021 |
| Sparseadapter: An easy approach for improving the parameter-efficiency of adapters S He, L Ding, D Dong, M Zhang, D Tao arXiv preprint arXiv:2210.04284, 2022 | 54 | 2022 |
| An adaptive multi-objective evolutionary algorithm for constrained workflow scheduling in clouds M Zhang, H Li, L Liu, R Buyya Distributed and Parallel Databases 36, 339-368, 2018 | 46 | 2018 |
| High dimensional Bayesian optimization via supervised dimension reduction M Zhang, H Li, S Su International Joint Conference on Artificial Intelligence, 4292-4298, 2019 | 45 | 2019 |
| Differentiable neural architecture search in equivalent space with exploration enhancement M Zhang, H Li, S Pan, X Chang, Z Ge, S Su Advances in Neural Information Processing Systems 33, 13341-13351, 2020 | 39 | 2020 |
| Structure-free graph condensation: From large-scale graphs to condensed graph-free data X Zheng, M Zhang, C Chen, QVH Nguyen, X Zhu, S Pan Advances in Neural Information Processing Systems 36, 2024 | 35 | 2024 |
| Genetic algorithm based QoS-aware service composition in multi-cloud M Zhang, L Liu, S Liu 2015 IEEE Conference on Collaboration and Internet Computing (CIC), 113-118, 2015 | 35 | 2015 |
| Ontology-based service matching in cloud computing L Liu, X Yao, L Qin, M Zhang 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2544-2550, 2014 | 35 | 2014 |
| A data-driven meat freshness monitoring and evaluation method using rapid centroid estimation and hidden Markov models T Liu, W Zhang, M Yuwono, M Zhang, M Ueland, SL Forbes, SW Su Sensors and Actuators B: Chemical 311, 127868, 2020 | 30 | 2020 |
| One-shot neural architecture search via novelty driven sampling M Zhang, H Li, S Pan, T Liu, S Su International joint conference on artificial intelligence, 2021 | 29 | 2021 |
| Towards deepening graph neural networks: A GNTK-based optimization perspective W Huang, Y Li, W Du, J Yin, RY Da Xu, L Chen, M Zhang arXiv preprint arXiv:2103.03113, 2021 | 26 | 2021 |
| Auto-heg: Automated graph neural network on heterophilic graphs X Zheng, M Zhang, C Chen, Q Zhang, C Zhou, S Pan Proceedings of the ACM Web Conference 2023, 611-620, 2023 | 24 | 2023 |
| Multi-objective optimization model with AHP decision-making for Cloud service composition L Liu, M Zhang KSII Transactions on Internet and Information Systems (TIIS) 9 (9), 3293-3311, 2015 | 24 | 2015 |
Shirui PanFull Professor, ARC Future Fellow, FQA, Director of TrustAGI Lab, Griffith University在 griffith.edu.au 的电子邮件经过验证
