| STGNN-TTE: Travel time estimation via spatial–temporal graph neural network G Jin, M Wang, J Zhang, H Sha, J Huang Future Generation Computer Systems 126, 70-81, 2022 | 53 | 2022 |
| Research on optimal hub location of agricultural product transportation network based on hierarchical hub-and-spoke network model M Wang, Q Cheng, J Huang, G Cheng Physica A: Statistical Mechanics and its Applications 566, 125412, 2021 | 29 | 2021 |
| GCL: Graph calibration loss for trustworthy graph neural network M Wang, H Yang, Q Cheng Proceedings of the 30th ACM International Conference on Multimedia, 988-996, 2022 | 15 | 2022 |
| Towards stochastic neural network via feature distribution calibration H Yang, M Wang, Y Zhou, Y Yang 2021 IEEE International Conference on Data Mining (ICDM), 1445-1450, 2021 | 5 | 2021 |
| Rethinking feature uncertainty in stochastic neural networks for adversarial robustness H Yang, M Wang, Z Yu, Y Zhou arXiv preprint arXiv:2201.00148, 2022 | 4 | 2022 |
| A Simple Stochastic Neural Network for Improving Adversarial Robustness H Yang, M Wang, Z Yu, Y Zhou 2023 IEEE International Conference on Multimedia and Expo(ICME2023), 2023 | 2 | 2023 |
| Confidence-based and sample-reweighted test-time adaptation H Yang, M Wang, Z Yu, H Zhang, J Jiang, Y Zhou Knowledge-Based Systems 283, 111164, 2024 | 1 | 2024 |
| Weight-based Regularization for Improving Robustness in Image Classification H Yang, M Wang, Z Yu, Y Zhou 2023 IEEE International Conference on Multimedia and Expo(ICME2023), 2023 | 1 | 2023 |
| Analysis of the European stock market's advance response time to COVID-19 based on Pearson correlation Coefficient M Wang, Q Cheng, J Huang, G Cheng Proceedings of the 2020 3rd International Conference on Algorithms …, 2020 | 1 | 2020 |
| Non-informative noise-enhanced stochastic neural networks for improving adversarial robustness H Yang, M Wang, Q Wang, Z Yu, G Jin, C Zhou, Y Zhou Information Fusion 108, 102397, 2024 | | 2024 |
| Moderate Message Passing Improves Calibration: A Universal Way to Mitigate Confidence Bias in Graph Neural Networks M Wang, H Yang, J Huang, Q Cheng Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21681 …, 2024 | | 2024 |
Hao YangXiamen UniversityVerified email at stu.xmu.edu.cn
