| Phishing scams detection in ethereum transaction network L Chen, J Peng, Y Liu, J Li, F Xie, Z Zheng ACM Transactions on Internet Technology (TOIT) 21 (1), 1-16, 2020 | 119 | 2020 |
| Matching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network. L Chen, Y Liu, X He, L Gao, Z Zheng IJCAI, 2095-2101, 2019 | 113 | 2019 |
| Modelling high-order social relations for item recommendation Y Liu, L Chen, X He, J Peng, Z Zheng, J Tang IEEE Transactions on Knowledge and Data Engineering 34 (9), 4385-4397, 2020 | 74 | 2020 |
| Understanding Structural Vulnerability in Graph Convolutional Networks L Chen, J Li, Q Peng, Y Liu, Z Zheng, C Yang arXiv preprint arXiv:2108.06280, 2021 | 51 | 2021 |
| Heterogeneous neural attentive factorization machine for rating prediction L Chen, Y Liu, Z Zheng, P Yu Proceedings of the 27th ACM International Conference on Information and …, 2018 | 42 | 2018 |
| Certifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines Y Liu, X Xia, L Chen, X He, C Yang, Z Zheng Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 27 | 2020 |
| Learning and Updating Node Embedding on Dynamic Heterogeneous Information Network Y Xie, Z Ou, L Chen, Y Liu, K Xu, C Yang, Z Zheng Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 24 | 2021 |
| A weighted meta-graph based approach for mobile application recommendation on heterogeneous information networks F Xie, L Chen, Y Ye, Y Liu, Z Zheng, X Lin Service-Oriented Computing: 16th International Conference, ICSOC 2018 …, 2018 | 22 | 2018 |
| Deconvolutional networks on graph data J Li, J Li, Y Liu, J Yu, Y Li, H Cheng Advances in Neural Information Processing Systems 34, 21019-21030, 2021 | 21 | 2021 |
| Neighboring backdoor attacks on graph convolutional network L Chen, Q Peng, J Li, Y Liu, J Chen, Y Li, Z Zheng arXiv preprint arXiv:2201.06202, 2022 | 10 | 2022 |
| Human mobility modeling during the COVID-19 pandemic via deep graph diffusion infomax Y Liu, Y Rong, Z Guo, N Chen, T Xu, F Tsung, J Li Proceedings of the AAAI Conference on Artificial Intelligence 37 (12), 14347 …, 2023 | 4 | 2023 |
| Improving generalization in equivariant graph neural networks with physical inductive biases Y Liu, J Cheng, H Zhao, T Xu, P Zhao, F Tsung, J Li, Y Rong The Twelfth International Conference on Learning Representations, 2023 | 3* | 2023 |
| Scenario-Adaptive Feature Interaction for Click-Through Rate Prediction E Min, D Luo, K Lin, C Huang, Y Liu Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 1 | 2023 |
| Deep Insights into Noisy Pseudo Labeling on Graph Data B Wang, J Li, Y Liu, J Cheng, Y Rong, W Wang, F Tsung Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
