| 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 | 291 | 2017 |
| Contrastive learning with stronger augmentations X Wang, GJ Qi IEEE transactions on pattern analysis and machine intelligence 45 (5), 5549-5560, 2022 | 179 | 2022 |
| 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 | 150 | 2021 |
| 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 | 109* | 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 | 90 | 2020 |
| 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 | 86 | 2021 |
| 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 | 84 | 2023 |
| Protein docking model evaluation by graph neural networks X Wang, ST Flannery, D Kihara Frontiers in Molecular Biosciences 8, 647915, 2021 | 72 | 2021 |
| 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 | 72 | 2019 |
| 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 | 56 | 2023 |
| 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 | 53 | 2022 |
| 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 | 51 | 2020 |
| 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 | 48 | 2020 |
| 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 | 43* | 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 | 33 | 2017 |
| 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 | 22 | 2022 |
| 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 | 15 | 2022 |
| 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 | 12 | 2023 |
| 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 | 12 | 2021 |
| 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 45 (9), 10718 …, 2023 | 11 | 2023 |
Daisuke KiharaProfessor of Biological Sciences and Computer Science, Showalter University Faculty Scholar, Purdue在 purdue.edu 的电子邮件经过验证
