| Information gap-based multi-objective optimization of a virtual energy hub plant considering a developed demand response model L Fan, D Ji, G Lin, P Lin, L Liu Energy 276, 127462, 2023 | 16 | 2023 |
| Risk aggregation in the presence of discrete causally connected random variables P Lin, M Neil, N Fenton Annals of Actuarial Science 8 (2), 298-319, 2014 | 15 | 2014 |
| Improved high dimensional discrete Bayesian network inference using triplet region construction P Lin, M Neil, N Fenton Journal of Artificial Intelligence Research 69, 231-295, 2020 | 12 | 2020 |
| Water pipe failure prediction: A machine learning approach enhanced by domain knowledge B Zhang, T Guo, L Zhang, P Lin, Y Wang, J Zhou, F Chen Human and Machine Learning: Visible, Explainable, Trustworthy and …, 2018 | 6 | 2018 |
| Performing Bayesian risk aggregation using discrete approximation algorithms with graph factorization P Lin arXiv preprint arXiv:1506.01056, 2015 | 5 | 2015 |
| The capability of coupled fuzzy logic and adaptive neural network in the formability prediction of steel sheets X Chen, L Fan, D Ji, P Lin Waves in Random and Complex Media, 1-19, 2023 | 3 | 2023 |
| A spatial renewal video traffic model based on buffering metrics P Lin, WL Luo, Y Liu 2008 IFIP International Conference on Network and Parallel Computing, 310-314, 2008 | 3 | 2008 |
| Region based approximation for high dimensional Bayesian network models P Lin, M Neil, N Fenton arXiv preprint arXiv:1602.02086, 2016 | 2 | 2016 |
| Arbitrary surface data patching method based on geometric convolutional neural network L Fan, D Ji, P Lin Neural Computing and Applications 35 (12), 8763-8774, 2023 | 1 | 2023 |
| Pairwise decomposition of directed graphic models for performing amortized approximate inference P Lin, C Dou, N Gu, Z Shi, L Ma International Conference on Machine Learning for Cyber Security, 57-71, 2022 | 1 | 2022 |
| Region‐based estimation of the partition functions for hybrid Bayesian network models P Lin, M Neil, N Fenton, E Dementiev International Journal of Intelligent Systems 37 (11), 8897-8927, 2022 | 1 | 2022 |
| A study of using Bethe/Kikuchi approximation for learning directed graphic models P Lin, M Neil, N Fenton IEEE Access 9, 125428-125438, 2021 | 1 | 2021 |
| Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models P Lin, M Neil, N Fenton arXiv preprint arXiv:2402.15075, 2024 | | 2024 |
| 2D-GDQM and adaptively tuned deep neural network for frequency analysis of the sandwich disk with honeycomb resting on elastic foundation X Chen, L Fan, P Lin Engineering Analysis with Boundary Elements 155, 323-339, 2023 | | 2023 |
| Performing Bayesian Network Inference Using Amortized Region Approximation with Graph Factorization P Lin, C Dou, N Gu, Z Shi, L Ma International Journal of Intelligent Systems 2023, 2023 | | 2023 |
| Improved High Dimensional Discrete Bayesian Network Inference using Triplet Region Construction (Extended abstract) P Lin the 30th International Joint Conference on Artificial Intelligence (IJCAI), #J6, 2021 | | 2021 |
