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Publications

Publications

Year Authors Title
  2024 Emmanuel Akeweje and Mimi Zhang Learning Mixtures of Gaussian Processes through Random Projection Proceedings of the 41st International Conference on Machine Learning (ICML)
  2024 Joshua Tobin and Mimi Zhang A Theoretical Analysis of Density Peaks Clustering and the Component-wise Peak-Finding Algorithm IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(2), pp1109-1120
  2024 Emmanuel Akeweje and Mimi Zhang Learning Mixtures of Gaussian Processes through Random Projection 41st International Conference on Machine Learning
  2024 Pangbo Ren, Charles Stuart, Mimi Zhang, Ryosuke Inomata, Kazuaki Nakamura, Isao Morita, Stephen Spence Investigation of the surrogate model in an ANN-Meanline Hybrid model for Radial Turbine Performance Prediction International Journal of Gas Turbine, Propulsion and Power Systems, 15(2), pp9-18. DOI: https://doi.org/10.38036/jgpp.15.2_9
  2024 Sukriti Dhang, Mimi Zhang and Soumyabrata Dev AdSegNet: A deep network to localize billboard in outdoor scenes Signal, Image and Video Processing, 18, pp7221-7235
  2024 Joshua Tobin, Michaela Black, James Ng, Debbie Rankin, Jonathan Wallace, Catherine Hughes, Leane Hoey, Adrian Moore, Jinling ... Co-Clustering Multi-View Data Using the Latent Block Model Computational Statistics & Data Analysis
  2024 Guangchen Wang, Michael Monaghan and Mimi Zhang Parallelizing Adaptive Reliability Analysis through Penalizing the Learning Function IEEE Transactions on Reliability
  2023 Bernard Fares and Mimi Zhang Incorporating Ignorance within Game Theory: An Imprecise Probability Approach International Journal of Approximate Reasoning, 154, pp133-148
  2023 Mimi Zhang and Andrew Parnell Review of Clustering Methods for Functional Data ACM Transactions on Knowledge Discovery from Data, 17(7), pp1-34
  2023 Joshua Tobin, Chin Pang Ho and Mimi Zhang Reinforced EM Algorithm for Clustering with Gaussian Mixture Models 2023 SIAM International Conference on Data Mining (SDM), pp118-126
  2022 Mimi Zhang Weighted Clustering Ensemble: A Review Pattern Recognition, 124, pp108428
  2022 Mimi Zhang, Matthew Revie and John Quigley Saddlepoint Approximation for the Generalized Inverse Gaussian Levy Process Journal of Computational and Applied Mathematics, 411, pp114275
  2022 Mimi Zhang and Bin Liu Discussion of signature-based models of preventive maintenance Applied Stochastic Models in Business and Industry, 39(1), pp54-56
  2022 Nuno Neto, Sinead O'Rourke, Mimi Zhang, Hannah Fitzgerald, Aisling Dunne and Michael Monaghan Non-Invasive classification of macrophage polarisation by 2P-FLIM and machine learning eLife, 11
  2021 Min Xie and Mimi Zhang Discussion of "Virtual age, is it real?" Applied Stochastic Models in Business and Industry, 37(1), pp30-31
  2021 Muhannad Ahmed Obeidi, Medad Monu, Cian Hughes, Declan Bourke, Merve Nur Dogu, Joshua Francis, Mimi Zhang, Inam Ul Ahad and D... Laser beam powder bed fusion of nitinol shape memory alloy (SMA) Journal of Materials Research and Technology, 14, pp2554-2570. DOI: https://doi.org/10.1016/j.jmrt.2021.07.126
  2021 Joshua Tobin and Mimi Zhang DCF: An Efficient and Robust Density-Based Clustering Method 2021 IEEE International Conference on Data Mining (ICDM), pp629-638
  2020 Mimi Zhang A Heuristic Policy for Maintaining Multiple Multi-State Systems Reliability Engineering and System Safety, 203, pp107081
  2019 Mimi Zhang Forward-Stagewise Clustering: An Algorithm for Convex Clustering Pattern Recognition Letters, 128, pp283-289
  2019 Mimi Zhang The Restless Bandits Problem with Partially Observable Markov Decision Processes Operations Research Letters
  2019 Mimi Zhang Multivariate Modeling as Supervised Learning: the Pair Copula Construction Approach Computational Statistics and Data Analysis
  2019 Mimi Zhang, Matthew Revie and John Quigley The Generalized Inverse Gaussian Levy Process Statistica Sinica
  2018 Mimi Zhang and Tim Bedford Vine Copula Approximation: A Generic Method for Coping with Conditional Dependence Statistics and Computing, 28(1), pp219-237
  2017 Mimi Zhang and Min Xie An Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit Technometrics, 59 (2), pp237-246
  2017 Mimi Zhang and Matthew Revie Continuous-Observation Partially Observable Semi-Markov Decision Processes for Machine Maintenance IEEE Transactions on Reliability, 66 (1), pp202-218
  2016 Mimi Zhang and Matthew Revie Model selection with application to gamma process and inverse Gaussian process European Safety and Reliability Conference 2016
  2015 Mimi Zhang, Olivier Gaudoin and Min Xie Degradation-Based Maintenance Using Stochastic Filtering for Systems under Imperfect Maintenance European Journal of Operational Research, 245 (2), pp531-541
  2014 Mimi Zhang, Qingpei Hu, Min Xie and Dan Yu Lower Confidence Limit for Reliability Based on Grouped Data with a Quantile Filling Algorithm Computational Statistics & Data Analysis, 75, pp96-111
  2014 Mimi Zhang, Zhisheng Ye and Min Xie A Stochastic EM Algorithm for Progressively Censored Data Analysis Quality and Reliability Engineering International, 30 (5), pp711-722
  2014 Mimi Zhang, Zhisheng Ye and Min Xie A Condition-Based Maintenance Strategy for Heterogeneous Populations Computers & Industrial Engineering, 77, pp103-114
  2013 Mimi Zhang, Min Xie and Olivier Gaudoin A Bivariate Maintenance Policy for Multi-State Repairable Systems with Monotone Process IEEE Transactions on Reliability, 62 (4), pp876-886
  2013 Mimi Zhang and Min Xie Degradation modeling using stochastic filtering for systems under imperfect maintenance Prognostics and System Health Management Conference (PHM 2013), 33, pp7-12
  2013 Zhisheng Ye, Mimi Zhang and Xun Xiao An inspection-maintenance strategy for heterogeneous systems with measurable degradation 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), pp1432-1437
  2013 Mimi Zhang, Zhisheng Ye and Min Xie Optimal Burn-in Policy for Highly Reliable Products Using Inverse Gaussian Degradation Process 8th World Congress on Engineering Asset Management (WCEAM 2013), pp1003-1011

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