Παρακολούθηση
Qilin Li
Qilin Li
Curtin University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα curtin.edu.au - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Prediction of BLEVE blast loading using CFD and artificial neural network
J Li, Q Li, H Hao, L Li
Process Safety and Environmental Protection 149, 711-723, 2021
522021
A comparative study on the most effective machine learning model for blast loading prediction: From GBDT to Transformer
Q Li, Y Wang, Y Shao, L Li, H Hao
Engineering Structures 276, 115310, 2023
452023
Fuzzy based affinity learning for spectral clustering
Q Li, Y Ren, L Li, W Liu
Pattern Recognition 60, 531-542, 2016
362016
Affinity learning via a diffusion process for subspace clustering
Q Li, W Liu, L Li
Pattern Recognition 84, 39-50, 2018
352018
Semantic facial descriptor extraction via axiomatic fuzzy set
Y Ren, Q Li, W Liu, L Li
Neurocomputing 171, 1462-1474, 2016
342016
Prediction of BLEVE loads on structures using machine learning and CFD
Q Li, Y Wang, L Li, H Hao, R Wang, J Li
Process Safety and Environmental Protection 171, 914-925, 2023
322023
Machine learning prediction of BLEVE loading with graph neural networks
Q Li, Y Wang, W Chen, L Li, H Hao
Reliability Engineering & System Safety 241, 109639, 2024
262024
Monocular vision based 3D vibration displacement measurement for civil engineering structures
Y Shao, L Li, J Li, Q Li, S An, H Hao
Engineering Structures 293, 116661, 2023
192023
Machine learning prediction of structural dynamic responses using graph neural networks
Q Li, Z Wang, L Li, H Hao, W Chen, Y Shao
Computers & Structures 289, 107188, 2023
172023
Semisupervised learning on graphs with an alternating diffusion process
Q Li, S An, W Liu, L Li
IEEE Transactions on Neural Networks and Learning Systems 32 (7), 2862-2874, 2020
162020
A novel transformer-based semantic segmentation framework for structural condition assessment
R Wang, Y Shao, Q Li, L Li, J Li, H Hao
Structural Health Monitoring 23 (2), 1170-1183, 2024
122024
Self-Reinforced Diffusion for Graph-based Semi-Supervised Learning
Q Li, W Liu, L Li
Pattern Recognition Letters 125, 439-445, 2019
102019
Affinity learning via self-supervised diffusion for spectral clustering
J Ye, Q Li, J Yu, X Wang, H Wang
IEEE Access 9, 7170-7182, 2020
92020
Out-of-plane full-field vibration displacement measurement with monocular computer vision
Y Shao, L Li, J Li, Q Li, S An, H Hao
Automation in Construction 165, 105507, 2024
82024
Prediction and interpretability of accidental explosion loads from hydrogen-air mixtures using CFD and artificial neural network method
Q Hu, X Zhang, Q Li, H Hao, C Coffey, F Mitchell-Corbett
International Journal of Hydrogen Energy 66, 135-147, 2024
82024
Multi-View Diffusion Process for Spectral Clustering and Image Retrieval
Q Li, S An, L Li, W Liu, Y Shao
IEEE Transactions on Image Processing, 2023
82023
Advancing blast fragmentation simulation of RC slabs: A graph neural network approach
Q Li, Z Wang, W Chen, L Li, H Hao
Engineering Structures 308, 118009, 2024
72024
From low-level geometric features to high-level semantics: An axiomatic fuzzy set clustering approach
Q Li, Y Ren, L Li, W Liu
Journal of Intelligent & Fuzzy Systems 31 (2), 775-786, 2016
62016
3D displacement measurement using a single-camera and mesh deformation neural network
Y Shao, L Li, J Li, Q Li, S An, H Hao
Engineering Structures 318, 118767, 2024
52024
Multi‐channel response reconstruction using transformer based generative adversarial network
W Zheng, J Li, Q Li, H Hao
Earthquake Engineering & Structural Dynamics 52 (11), 3369-3391, 2023
52023
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