| Fine-grained emotion classification of Chinese microblogs based on graph convolution networks Y Lai, L Zhang, D Han, R Zhou, G Wang World Wide Web 23, 2771-2787, 2020 | 62 | 2020 |
| Binarizedattack: Structural poisoning attacks to graph-based anomaly detection Y Zhu, Y Lai, K Zhao, X Luo, M Yuan, J Ren, K Zhou 2022 IEEE 38th International Conference on Data Engineering (ICDE), 14-26, 2022 | 24 | 2022 |
| TCOF1 upregulation in triple-negative breast cancer promotes stemness and tumour growth and correlates with poor prognosis J Hu, Y Lai, H Huang, S Ramakrishnan, Y Pan, VWS Ma, W Cheuk, ... British Journal of Cancer 126 (1), 57-71, 2022 | 14 | 2022 |
| Identification of prognostic spatial organization features in colorectal cancer microenvironment using deep learning on histopathology images L Qi, J Ke, Z Yu, Y Cao, Y Lai, Y Chen, F Gao, X Wang Medicine in Omics 2, 100008, 2021 | 9 | 2021 |
| Black-box attacks against signed graph analysis via balance poisoning J Zhou, Y Lai, J Ren, K Zhou arXiv preprint arXiv:2309.02396, 2023 | 3 | 2023 |
| Node-aware Bi-smoothing: Certified Robustness against Graph Injection Attacks Y Lai, Y Zhu, B Pan, K Zhou arXiv preprint arXiv:2312.03979, 2023 | 1 | 2023 |
| Towards Adversarially Robust Recommendation from Adaptive Fraudster Detection Y Lai, Y Zhu, W Fan, X Zhang, K Zhou IEEE Transactions on Information Forensics and Security, 2023 | 1 | 2023 |
| Deep learning-derived spatial organization features on histology images predicts prognosis in colorectal liver metastasis patients after hepatectomy L Qi, J Liang, Z Li, S Xi, Y Lai, F Gao, X Zhang, D Wang, M Hu, Y Cao, ... Iscience 26 (10), 2023 | 1 | 2023 |
| Dual-Space Attacks against Random-Walk-based Anomaly Detection Y Lai, M Waniek, Y Zhu, L Li, J Wu, TP Michalak, T Rahwan, K Zhou arXiv preprint arXiv:2307.14387, 2023 | 1 | 2023 |
| Towards certified robustness of graph neural networks in adversarial aiot environments Y Lai, J Zhou, X Zhang, K Zhou IEEE Internet of Things Journal, 2023 | 1 | 2023 |
| Cost Aware Untargeted Poisoning Attack Against Graph Neural Networks Y Han, Y Lai, Y Zhu, K Zhou ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| Collective Certified Robustness against Graph Injection Attacks Y Lai, B Pan, K Chen, Y Yuan, K Zhou arXiv preprint arXiv:2403.01423, 2024 | | 2024 |
| Adversarially Robust Signed Graph Contrastive Learning from Balance Augmentation J Zhou, X Ai, Y Lai, K Zhou arXiv preprint arXiv:2401.10590, 2024 | | 2024 |
| Universally Robust Graph Neural Networks by Preserving Neighbor Similarity Y Zhu, Y Lai, X Ai, K Zhou arXiv preprint arXiv:2401.09754, 2024 | | 2024 |
| From Bi-Level to One-Level: A Framework for Structural Attacks to Graph Anomaly Detection Y Zhu, Y Lai, K Zhao, X Luo, M Yuan, J Wu, J Ren, K Zhou arXiv preprint arXiv:2206.08260, 2022 | | 2022 |
