| Adversarial Attacks on Deep Graph Matching Z Zhang, Z Zhang, Y Zhou, Y Shen, R Jin, D Dou Advances in Neural Information Processing Systems 33, 2020 | 40 | 2020 |
| Density-adaptive local edge representation learning with generative adversarial network multi-label edge classification Y Zhou, S Wu, C Jiang, Z Zhang, D Dou, R Jin, P Wang 2018 IEEE International Conference on Data Mining (ICDM), 1464-1469, 2018 | 32 | 2018 |
| Validating the lottery ticket hypothesis with inertial manifold theory Z Zhang, J Jin, Z Zhang, Y Zhou, X Zhao, J Ren, J Liu, L Wu, R Jin, D Dou Advances in neural information processing systems 34, 30196-30210, 2021 | 27 | 2021 |
| Expressive 1-lipschitz neural networks for robust multiple graph learning against adversarial attacks X Zhao, Z Zhang, Z Zhang, L Wu, J Jin, Y Zhou, R Jin, D Dou, D Yan International Conference on Machine Learning, 12719-12735, 2021 | 25 | 2021 |
| Robust network alignment via attack signal scaling and adversarial perturbation elimination Y Zhou, Z Zhang, S Wu, V Sheng, X Han, Z Zhang, R Jin Proceedings of the Web Conference 2021, 3884-3895, 2021 | 19 | 2021 |
| Dual adversarial learning based network alignment J Ren, Y Zhou, R Jin, Z Zhang, D Dou, P Wang 2019 IEEE International Conference on Data Mining (ICDM), 1288-1293, 2019 | 18 | 2019 |
| Prompt certified machine unlearning with randomized gradient smoothing and quantization Z Zhang, Y Zhou, X Zhao, T Che, L Lyu Advances in Neural Information Processing Systems 35, 13433-13455, 2022 | 17 | 2022 |
| Fast Federated Machine Unlearning with Nonlinear Functional Theory T Che, Y Zhou, Z Zhang, L Lyu, J Liu, D Yan, D Dou, J Huan | 16 | 2023 |
| Integrating local vertex/edge embedding via deep matrix fusion and siamese multi-label classification Y Zhou, C Jiang, Z Zhang, D Dou, R Jin, P Wang 2019 IEEE International Conference on Big Data (Big Data), 1018-1027, 2019 | 16 | 2019 |
| Integrated defense for resilient graph matching J Ren, Z Zhang, J Jin, X Zhao, S Wu, Y Zhou, Y Shen, T Che, R Jin, D Dou International Conference on Machine Learning, 8982-8997, 2021 | 15 | 2021 |
| Adversarial attack against cross-lingual knowledge graph alignment Z Zhang, Z Zhang, Y Zhou, L Wu, S Wu, X Han, D Dou, T Che, D Yan Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 14 | 2021 |
| Unsupervised adversarial network alignment with reinforcement learning Y Zhou, J Ren, R Jin, Z Zhang, J Zheng, Z Jiang, D Yan, D Dou ACM Transactions on Knowledge Discovery from Data (TKDD) 16 (3), 1-29, 2021 | 14 | 2021 |
| Semi-supervised classification-based local vertex ranking via dual generative adversarial nets Y Zhou, J Ren, S Wu, D Dou, R Jin, Z Zhang, P Wang 2019 IEEE International Conference on Big Data (Big Data), 1267-1273, 2019 | 12 | 2019 |
| Unsupervised Multiple Network Alignment with Multinominal GAN and Variational Inference Y Zhou, J Ren, R Jin, Z Zhang, D Dou, D Yan 2020 IEEE International Conference on Big Data (Big Data), 868-877, 2020 | 11 | 2020 |
| Federated Fingerprint Learning with Heterogeneous Architectures T Che, Z Zhang, Y Zhou, X Zhao, J Liu, Z Jiang, D Yan, R Jin, D Dou 2022 IEEE International Conference on Data Mining (ICDM), 31-40, 2022 | 10 | 2022 |
| Adversarial attacks on deep graph matching Z Zijie, Z Zeru, Z Yang, S Yelong, J Ruoming, D Dejing Proceedings of the 34th Conference on Neural Information Processing Systems, 2020 | 2 | 2020 |
