| Evaluation of machine learning methods for formation lithology identification: A comparison of tuning processes and model performances Y Xie, C Zhu, W Zhou, Z Li, X Liu, M Tu Journal of Petroleum Science and Engineering 160, 182-193, 2018 | 276 | 2018 |
| A coarse-to-fine approach for intelligent logging lithology identification with extremely randomized trees Y Xie, C Zhu, R Hu, Z Zhu Mathematical Geosciences 53 (5), 859-876, 2021 | 28 | 2021 |
| Towards Optimization of Boosting Models for Formation Lithology Identification Y Xie, C Zhu, Y Lu, Z Zhu Mathematical Problems in Engineering 2019, 2019 | 22 | 2019 |
| An improved dueling deep double-q network based on prioritized experience replay for path planning of unmanned surface vehicles Z Zhu, C Hu, C Zhu, Y Zhu, Y Sheng Journal of Marine Science and Engineering 9 (11), 1267, 2021 | 20 | 2021 |
| A fairness-based refinement strategy to transform liveness properties in Event-B models C Zhu, M Butler, C Cirstea, TS Hoang Science of Computer Programming 225, 102907, 2023 | 9 | 2023 |
| ACP-check: An anticancer peptide prediction model based on bidirectional long short-term memory and multi-features fusion strategy L Zhu, C Ye, X Hu, S Yang, C Zhu Computers in Biology and Medicine 148, 105868, 2022 | 9 | 2022 |
| Formalizing hierarchical scheduling for refinement of real-time systems C Zhu, M Butler, C Cirstea Science of Computer Programming 189, 102390, 2020 | 9 | 2020 |
| Semantics of Real-Time Trigger-Response Properties in Event-B C Zhu, M Butler, C Cirstea The 12th International Symposium on Theoretical Aspects of Software Engineering, 2018 | 9 | 2018 |
| Towards Refinement Semantics of Real-Time Trigger-Response Properties in Event-B C Zhu, M Butler, C Cirstea. The 13th International Symposium on Theoretical Aspects of Software Engineering, 2019 | 8 | 2019 |
| Analyzing machine learning models with Gaussian process for the indoor positioning system Y Xie, C Zhu, W Jiang, J Bi, Z Zhu Mathematical Problems in Engineering 2020 (1), 4696198, 2020 | 7 | 2020 |
| Refinement of timing constraints for concurrent tasks with scheduling C Zhu, M Butler, C Cirstea 6th International ABZ Conference ASM, Alloy, B, TLA, VDM, Z, 2018, 2018 | 7 | 2018 |
| A semi-supervised coarse-to-fine approach with bayesian optimization for lithology identification Y Xie, L Jin, C Zhu, S Wu Earth Science Informatics 16 (3), 2285-2305, 2023 | 6 | 2023 |
| IRE: improved image super-resolution based on real-ESRGAN Z Zhu, Y Lei, Y Qin, C Zhu, Y Zhu IEEE Access, 2023 | 6 | 2023 |
| Trace semantics and refinement patterns for real-time properties in Event-B models C Zhu, M Butler, C Cirstea Science of Computer Programming 197, 102513, 2020 | 6 | 2020 |
| Gr (1)-guided deep reinforcement learning for multi-task motion planning under a stochastic environment C Zhu, Y Cai, J Zhu, C Hu, J Bi Electronics 11 (22), 3716, 2022 | 5 | 2022 |
| Effective defense strategies in network security using improved double dueling deep Q-network Z Zhu, M Chen, C Zhu, Y Zhu Computers & Security 136, 103578, 2024 | 4 | 2024 |
| Multiview latent space learning with progressively fine-tuned deep features for unsupervised domain adaptation C Zhu, Q Wang, Y Xie, S Xu Information Sciences 662, 120223, 2024 | 2 | 2024 |
| Decomposing Synthesized Strategies for Reactive Multi-agent Reinforcement Learning C Zhu, J Zhu, Y Cai, F Wang International Symposium on Theoretical Aspects of Software Engineering, 59-76, 2023 | 2 | 2023 |
| Efficient reinforcement learning with generalized-reactivity specifications C Zhu, Y Cai, C Hu, J Bi 2022 29th Asia-Pacific Software Engineering Conference (APSEC), 31-40, 2022 | 2 | 2022 |
| Learning from doing: Lessons learned from designing and developing an educational software within a heterogeneous group N Wang-Trexler, MKC Yeh, WC Diehl, RE Heiser, A Gregg, L Tran, C Zhu International Journal of Web-Based Learning and Teaching Technologies …, 2021 | 2 | 2021 |
Michael ButlerProfessor of Computer Science, University of Southampton在 ecs.soton.ac.uk 的电子邮件经过验证
