Apan: Asynchronous propagation attention network for real-time temporal graph embedding X Wang, D Lyu, M Li, Y Xia, Q Yang, X Wang, X Wang, P Cui, Y Yang, ... Proceedings of the 2021 international conference on management of data, 2628 …, 2021 | 154 | 2021 |
One-class graph neural networks for anomaly detection in attributed networks X Wang, B Jin, Y Du, P Cui, Y Tan, Y Yang Neural computing and applications 33 (18), 12073-12085, 2021 | 140 | 2021 |
adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection X Wang, Y Du, S Lin, P Cui, Y Shen, Y Yang Knowledge-Based Systems 190, 105187, 2020 | 132* | 2020 |
A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design Y Chu, Y Zhang, Q Wang, L Zhang, X Wang, Y Wang, DR Salahub, Q Xu, ... Nature Machine Intelligence 4 (3), 300-311, 2022 | 120 | 2022 |
MDA-GCNFTG: identifying miRNA-disease associations based on graph convolutional networks via graph sampling through the feature and topology graph Y Chu, X Wang, Q Dai, Y Wang, Q Wang, S Peng, X Wei, J Qiu, ... Briefings in Bioinformatics 22 (6), bbab165, 2021 | 63 | 2021 |
A comprehensive and automated fusion method: The enhanced flexible spatiotemporal data fusion model for monitoring dynamic changes of land surface C Shi, X Wang, M Zhang, X Liang, L Niu, H Han, X Zhu Applied Sciences 9 (18), 3693, 2019 | 35 | 2019 |
Building transportation foundation model via generative graph transformer X Wang, D Wang, L Chen, FY Wang, Y Lin 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 24 | 2023 |
Partial discharge pattern recognition with data augmentation based on generative adversarial networks X Wang, H Huang, Y Hu, Y Yang 2018 Condition Monitoring and Diagnosis (CMD), 1-4, 2018 | 21 | 2018 |
TransWorldNG: Traffic simulation via foundation model D Wang, X Wang, L Chen, S Yao, M Jing, H Li, S Bao, L Li, FY Wang, ... 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 15 | 2023 |
Efficient spatial-temporal normalization of sae representation for event camera S Lin, F Xu, X Wang, W Yang, L Yu IEEE Robotics and Automation Letters 5 (3), 4265-4272, 2020 | 14 | 2020 |
Prediction of flow-induced local scour depth at the uniform bridge pier using masked attention neural network B Lu, V Petukhov, M Zhang, X Wang, S Yue, H Zhou, A Kholodov, G Yu Ocean Engineering 266, 113018, 2022 | 8 | 2022 |
Nonparametric manifold learning approach for improved process monitoring P Cui, X Wang, Y Yang The Canadian Journal of Chemical Engineering 100 (1), 67-89, 2022 | 8 | 2022 |
The Shadow of Fraud: The Emerging Danger of AI-powered Social Engineering and its Possible Cure J Yu, Y Yu, X Wang, Y Lin, M Yang, Y Qiao, FY Wang arXiv preprint arXiv:2407.15912, 2024 | 7 | 2024 |
One-class temporal graph attention neural network for dynamic graph anomaly detection B Huang, X Wang, P Cui, W Jiang, Y Yang, Q Fan 2021 2nd International Conference on Electronics, Communications and …, 2021 | 5 | 2021 |
Navigating the Data Trading Crossroads: An Interdisciplinary Survey Y Yu, J Yu, X Wang, J Li, Y Lin, C He, Y Yang, Y Qiao, L Li, FY Wang arXiv preprint arXiv:2407.11466, 2024 | 2 | 2024 |
Building Intelligence Identification System via Large Language Model Watermarking: A Survey and Beyond X Wang, H Jiang, Y Yu, J Yu, Y Lin, P Yi, Y Wang, Y Qiao, L Li, FY Wang arXiv preprint arXiv:2407.11100, 2024 | 2 | 2024 |
Adaptive sampling temporal graph network W Jiang, X Wang, P Cui, B Huang, Y Yang, Q Fan 2022 4th International Conference on Advances in Computer Technology …, 2022 | 2 | 2022 |
Statistics manifold learning approach and its application to non-Gaussian process monitoring P Cui, X Wang, Y Yang 2020 39th Chinese Control Conference (CCC), 4054-4059, 2020 | 2 | 2020 |
Data on the Move: Traffic-Oriented Data Trading Platform Powered by AI Agent with Common Sense Y Yu, S Yao, T Zhou, Y Fu, J Yu, D Wang, X Wang, C Chen, Y Lin 2024 IEEE Intelligent Vehicles Symposium (IV), 521-526, 2024 | 1 | 2024 |
CEP3: Community Event Prediction with Neural Point Process on Graph X Wang, S Chen, Y He, M Wang, Q Gan, J Yan Learning on Graphs Conference, 39: 1-39: 17, 2022 | 1 | 2022 |