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Xiao Wang
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Capturing car-following behaviors by deep learning
X Wang, R Jiang, L Li, Y Lin, X Zheng, FY Wang
IEEE Transactions on Intelligent Transportation Systems 19 (3), 910-920, 2017
2732017
Contrastive learning with stronger augmentations
X Wang, GJ Qi
IEEE transactions on pattern analysis and machine intelligence 45 (5), 5549-5560, 2022
1492022
Adco: Adversarial contrast for efficient learning of unsupervised representations from self-trained negative adversaries
Q Hu, X Wang, W Hu, GJ Qi
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
1402021
Enaet: A self-trained framework for semi-supervised and supervised learning with ensemble transformations
X Wang, D Kihara, J Luo, GJ Qi
IEEE Transactions on Image Processing 30, 1639-1647, 2020
102*2020
Protein docking model evaluation by 3D deep convolutional neural networks
X Wang, G Terashi, CW Christoffer, M Zhu, D Kihara
Bioinformatics 36 (7), 2113-2118, 2020
852020
Prediction of protein assemblies, the next frontier: The CASP14‐CAPRI experiment
MF Lensink, G Brysbaert, T Mauri, N Nadzirin, S Velankar, RAG Chaleil, ...
Proteins: Structure, Function, and Bioinformatics 89 (12), 1800-1823, 2021
762021
Long memory is important: A test study on deep-learning based car-following model
X Wang, R Jiang, L Li, YL Lin, FY Wang
Physica A: Statistical Mechanics and its Applications 514, 786-795, 2019
682019
Protein docking model evaluation by graph neural networks
X Wang, ST Flannery, D Kihara
Frontiers in Molecular Biosciences 8, 647915, 2021
652021
Machine learning for synthetic data generation: a review
Y Lu, M Shen, H Wang, X Wang, C van Rechem, W Wei
arXiv preprint arXiv:2302.04062, 2023
552023
Learning generalized transformation equivariant representations via autoencoding transformations
GJ Qi, L Zhang, F Lin, X Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (4), 2045-2057, 2020
472020
SHREC 2020: Classification in cryo-electron tomograms
I Gubins, ML Chaillet, G van Der Schot, RC Veltkamp, F Förster, Y Hao, ...
Computers & Graphics 91, 279-289, 2020
472020
On the importance of asymmetry for siamese representation learning
X Wang, H Fan, Y Tian, D Kihara, X Chen
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
462022
Detecting protein and DNA/RNA structures in cryo-em maps
X Wang, E Alnabati, TW Aderinwale, SRMV Subramaniya, G Terashi, ...
Nature Communications 2302 (12), 2021
37*2021
E-learning recommendation framework based on deep learning
X Wang, Y Zhang, S Yu, X Liu, Y Yuan, FY Wang
2017 IEEE international conference on systems, man, and cybernetics (SMC …, 2017
312017
VistaGPT: Generative parallel transformers for vehicles with intelligent systems for transport automation
Y Tian, X Li, H Zhang, C Zhao, B Li, X Wang, FY Wang
IEEE Transactions on Intelligent Vehicles, 2023
232023
Residue-wise local quality estimation for protein models from cryo-EM maps
G Terashi, X Wang, SR Maddhuri Venkata Subramaniya, JJG Tesmer, ...
Nature methods 19 (9), 1116-1125, 2022
212022
SHREC 2021: Retrieval and classification of protein surfaces equipped with physical and chemical properties
A Raffo, U Fugacci, S Biasotti, W Rocchia, Y Liu, E Otu, R Zwiggelaar, ...
Computers & Graphics 99, 1-21, 2021
142021
SHREC 2022: protein–ligand binding site recognition
L Gagliardi, A Raffo, U Fugacci, S Biasotti, W Rocchia, H Huang, BB Amor, ...
Computers & Graphics 107, 20-31, 2022
132022
CryoREAD: de novo structure modeling for nucleic acids in cryo-EM maps using deep learning
X Wang, G Terashi, D Kihara
Nature Methods 20 (11), 1739-1747, 2023
102023
CaCo: Both positive and negative samples are directly learnable via cooperative-adversarial contrastive learning
X Wang, Y Huang, D Zeng, GJ Qi
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
72023
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