| Heterogeneous network representation learning approach for ethereum identity identification Y Wang, Z Liu, J Xu, W Yan IEEE Transactions on Computational Social Systems 10 (3), 890-899, 2022 | 105 | 2022 |
| EGNN: Graph structure learning based on evolutionary computation helps more in graph neural networks Z Liu, D Yang, Y Wang, M Lu, R Li Applied Soft Computing 135, 110040, 2023 | 88 | 2023 |
| Internet financial fraud detection based on graph learning R Li, Z Liu, Y Ma, D Yang, S Sun IEEE Transactions on Computational Social Systems 10 (3), 1394-1401, 2022 | 60 | 2022 |
| Collaborative structure and feature learning for multi-view clustering W Yan, M Gu, J Ren, G Yue, Z Liu, J Xu, W Lin Information Fusion 98, 101832, 2023 | 42 | 2023 |
| RegraphGAN: A graph generative adversarial network model for dynamic network anomaly detection D Guo, Z Liu, R Li Neural Networks 166, 273-285, 2023 | 25 | 2023 |
| Adaptive multi-channel Bayesian graph attention network for IoT transaction security Z Liu, D Yang, S Wang, H Su Digital Communications and Networks 10 (3), 631-644, 2024 | 21 | 2024 |
| Adaptive attention-based graph representation learning to detect phishing accounts on the Ethereum blockchain H Sun, Z Liu, S Wang, H Wang IEEE Transactions on Network Science and Engineering, 2024 | 18 | 2024 |
| Fuzzy neighbourhood neural network for high-resolution remote sensing image segmentation T Qu, J Xu, Q Chong, Z Liu, W Yan, X Wang, Y Song, M Ni European Journal of Remote Sensing 56 (1), 2174706, 2023 | 10 | 2023 |
| A multiscale fuzzy dual-domain attention network for urban remote sensing image segmentation Q Chong, J Xu, F Jia, Z Liu, W Yan, X Wang, Y Song International Journal of Remote Sensing 43 (14), 5480-5501, 2022 | 10 | 2022 |
| Human-Robot Collaboration Through a Multi-Scale Graph Convolution Neural Network with Temporal Attention Z Liu, X Lu, W Liu, W Qi, H Su IEEE Robotics and Automation Letters, 2024 | 9 | 2024 |
| A reinforcement learning-based incentive mechanism for task allocation under spatiotemporal crowdsensing K Jiang, Y Wang, H Wang, Z Liu, Q Han, A Zhou, C Xiang, Z Cai IEEE Transactions on Computational Social Systems 11 (2), 2179-2189, 2023 | 9 | 2023 |
| Task assignment for hybrid scenarios in spatial crowdsourcing: A Q-Learning-based approach M Wang, Y Wang, AMVV Sai, Z Liu, Y Gao, X Tong, Z Cai Applied Soft Computing 131, 109749, 2022 | 9 | 2022 |
| Single image dehazing using generative adversarial networks based on an attention mechanism Y Ma, J Xu, F Jia, W Yan, Z Liu, M Ni IET Image Processing 16 (7), 1897-1907, 2022 | 9 | 2022 |
| RA-HGNN: Attribute completion of heterogeneous graph neural networks based on residual attention mechanism Z Zhao, Z Liu, Y Wang, D Yang, W Che Expert Systems with Applications 243, 122945, 2024 | 7 | 2024 |
| Heterogeneous graphs neural networks based on neighbor relationship filtering Z Liu, Y Wang, S Wang, X Zhao, H Wang, H Yin Expert Systems with Applications 239, 122489, 2024 | 7 | 2024 |
| A personalized location privacy protection system in mobile crowdsourcing C Zhang, Y Wang, W Wang, H Zhang, Z Liu, X Tong, Z Cai IEEE Internet of Things Journal, 2023 | 7 | 2023 |
| Deep Video Stabilization via Robust Homography Estimation W Yan, Y Sun, W Zhou, Z Liu, R Cong IEEE Signal Processing Letters, 2023 | 6 | 2023 |
| Planning-based mobile crowdsourcing bidirectional multi-stage online task assignment X Li, Y Wang, B Xie, L Meng, Z Liu, X Tong, A Zhou, Z Cai Computer Networks 233, 109879, 2023 | 6 | 2023 |
| Mobile Crowdsourcing Quality Control Method Based on Four-Party Evolutionary Game in Edge Cloud Environment Y Zhao, Y Wang, P Duan, H Zhang, Z Liu, X Tong, Z Cai IEEE Transactions on Computational Social Systems, 2024 | 4 | 2024 |
| Multiattribute E-CARGO task assignment model based on adaptive heterogeneous residual networks Z Liu, Z Zhao IEEE Transactions on Computational Social Systems, 2024 | 4 | 2024 |
