| Ptfuzz: Guided fuzzing with processor trace feedback G Zhang, X Zhou, Y Luo, X Wu, E Min IEEE Access 6, 37302-37313, 2018 | 85 | 2018 |
| Towards defense against adversarial attacks on graph neural networks via calibrated co-training XG Wu, HJ Wu, X Zhou, X Zhao, K Lu Journal of Computer Science and Technology 37 (5), 1161-1175, 2022 | 9 | 2022 |
| STA: Adversarial attacks on Siamese trackers X Wu, X Wang, X Zhou, S Jian arXiv preprint arXiv:1909.03413, 2019 | 8 | 2019 |
| A Survey on Software-Defined Wide Area Networks. X Wu, K Lu, G Zhu J. Commun. 13 (5), 253-258, 2018 | 7 | 2018 |
| Leveraging free labels to power up heterophilic graph learning in weakly-supervised settings: An empirical study X Wu, H Wu, R Wang, D Li, X Zhou, K Lu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2023 | 4 | 2023 |
| Towards adaptive graph neural networks via solving prior-data conflicts X Wu, H Wu, R Wang, X Zhou, K Lu Frontiers of Information Technology & Electronic Engineering 25 (3), 369-383, 2024 | | 2024 |
| 通过解决先验数据冲突实现自适应图神经网络 X WU, H WU, R WANG, X ZHOU, K LU, AX WU, AH WU, AR WANG, ... Frontiers 25 (3), 369-383, 2024 | | 2024 |
| CoG: a Two-View Co-training Framework for Defending Adversarial Attacks on Graph X Wu, H Wu, X Zhou, K Lu arXiv preprint arXiv:2109.05558, 2021 | | 2021 |
