| Bidirectional LSTM with attention mechanism and convolutional layer for text classification G Liu, J Guo Neurocomputing 337, 325-338, 2019 | 989 | 2019 |
| Cellular traffic prediction: a deep learning method considering dynamic nonlocal spatial correlation, self-attention, and correlation of spatiotemporal feature fusion Z Rao, Y Xu, S Pan, J Guo, Y Yan, Z Wang IEEE Transactions on Network and Service Management 20 (1), 426-440, 2022 | 15 | 2022 |
| FoolChecker: A platform to evaluate the robustness of images against adversarial attacks L Hui, Z Bo, H Linquan, G Jiabao, L Yifan Neurocomputing 412, 216-225, 2020 | 8 | 2020 |
| GreedyFool: Multi-factor imperceptibility and its application to designing a black-box adversarial attack H Liu, B Zhao, M Ji, M Li, P Liu Information Sciences 613, 717-730, 2022 | 6 | 2022 |
| Supervised contrastive learning with term weighting for improving Chinese text classification J Guo, B Zhao, H Liu, Y Liu, Q Zhong Tsinghua Science and Technology 28 (1), 59-68, 2022 | 6 | 2022 |
| Feature-filter: Detecting adversarial examples by filtering out recessive features H Liu, B Zhao, M Ji, Y Peng, J Guo, P Liu Applied Soft Computing 124, 109027, 2022 | 6 | 2022 |
| DACAS: integration of attribute-based access control for northbound interface security in SDN Y Liu, B Zhao, Y An, J Guo world wide web 26 (4), 2143-2173, 2023 | 5 | 2023 |
| Multiple attention networks with temporal convolution for machine reading comprehension J Guo, G Liu, C Xiong 2019 IEEE 9th International Conference on Electronics Information and …, 2019 | 5 | 2019 |
| DeepDual-SD: Deep dual attribute-aware embedding for binary code similarity detection J Guo, B Zhao, H Liu, D Leng, Y An, G Shu International Journal of Computational Intelligence Systems 16 (1), 35, 2023 | 4 | 2023 |
| 针对深度学习的对抗攻击综述 刘会， 赵波， 郭嘉宝， 彭钺峰 密码学报 8 (2), 202-214, 2021 | 3 | 2021 |
| FedCSS: Joint Client-and-Sample Selection for Hard Sample-Aware Noise-Robust Federated Learning A Li, Y Cao, J Guo, H Peng, Q Guo, H Yu Proceedings of the ACM on Management of Data 1 (3), 1-24, 2023 | 2 | 2023 |
| A lightweight unsupervised adversarial detector based on autoencoder and isolation forest H Liu, B Zhao, J Guo, K Zhang, P Liu Pattern Recognition 147, 110127, 2024 | 1 | 2024 |
| Feature-Filter: Detecting Adversarial Examples through Filtering off Recessive Features H Liu, B Zhao, M Ji, Y Peng, J Guo, P Liu arXiv preprint arXiv:2107.09502, 2021 | 1 | 2021 |
| GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing Black-box Adversarial Example Attack H Liu, B Zhao, J Guo, Y An, P Liu arXiv preprint arXiv:2010.06855, 2020 | | 2020 |
| Quantitative Deliberation Model and the Method of Consensus Building X Li, C Xiong, J Guo, G Liu Complex, Intelligent, and Software Intensive Systems: Proceedings of the …, 2018 | | 2018 |
