| Application of machine learning in predicting the rate-dependent compressive strength of rocks M Wei, W Meng, F Dai, W Wu Journal of Rock Mechanics and Geotechnical Engineering 14 (5), 1356-1365, 2022 | 33 | 2022 |
| Machine learning-aided prediction of the mechanical properties of frozen fractured rocks W Meng, W Wu Rock Mechanics and Rock Engineering 56 (1), 261-273, 2023 | 13 | 2023 |
| Loading rate and mineralogical controls on tensile strength of rocks: a machine learning view J Tie, W Meng, M Wei, W Wu Rock Mechanics and Rock Engineering 56 (8), 6119-6125, 2023 | 9 | 2023 |
| Excavation-Induced Fault Instability: A Machine Learning Perspective W Meng, N Xu, Z Zhao, W Wu Rock Mechanics and Rock Engineering, 1-15, 2024 | 1 | 2024 |
| Intelligent detection of underground openings and surrounding disturbed zones W Meng, W Wu, TY Poh, ZL Lim Tunnelling and Underground Space Technology 154, 106122, 2024 | | 2024 |
| Uncovering hidden connections between subsurface anomalies W Meng, W Wu AGU Fall Meeting Abstracts 2023, NS43A-08, 2023 | | 2023 |
| Smart Detection of Underground Anomalies Using Convolutional Neural Network with Sliding Time Window W Meng, C Zhang, W Wu Conference of the Associated research Centers for the Urban Underground …, 2023 | | 2023 |
| Multi-scale and multi-dimension detection of limestone cavities W Meng, W Wu AGU Fall Meeting Abstracts 2022, NS41A-02, 2022 | | 2022 |
| Understanding an irregular pattern of fracture slip from laboratory earthquake using machine learning C Mei, W Meng, W Wu IOP Conference Series: Earth and Environmental Science 861 (4), 042082, 2021 | | 2021 |
