| Defending Against Malicious Behaviors in Federated Learning with Blockchain N Dong, Z Wang, J Sun, M Kampffmeyer, Y Wen, S Zhang, W Knottenbelt, ... arXiv preprint arXiv:2307.00543, 2023 | 3 | 2023 |
| Flock: Defending malicious behaviors in federated learning with blockchain N Dong, J Sun, Z Wang, S Zhang, S Zheng arXiv preprint arXiv:2211.04344, 2022 | 3 | 2022 |
| Collective Knowledge Graph Completion with Mutual Knowledge Distillation W Zhang, O Serban, J Sun, Y Guo arXiv preprint arXiv:2305.15895, 2023 | 2 | 2023 |
| zkFL: Zero-Knowledge Proof-based Gradient Aggregation for Federated Learning Z Wang, N Dong, J Sun, W Knottenbelt arXiv preprint arXiv:2310.02554, 2023 | 1 | 2023 |
| TKGQA Dataset: Using Question Answering to Guide and Validate the Evolution of Temporal Knowledge Graph R Ong, J Sun, O Șerban, YK Guo Data 8 (3), 61, 2023 | 1 | 2023 |
| IPPT4KRL: Iterative Post-Processing Transfer for Knowledge Representation Learning W Zhang, O Șerban, J Sun, Y Guo Machine Learning and Knowledge Extraction 5 (1), 43-58, 2023 | 1 | 2023 |
| GARNN: An Interpretable Graph Attentive Recurrent Neural Network for Predicting Blood Glucose Levels via Multivariate Time Series C Piao, T Zhu, SE Baldeweg, P Taylor, P Georgiou, J Sun, J Wang, K Li arXiv preprint arXiv:2402.16230, 2024 | | 2024 |
| Conflict-aware multilingual knowledge graph completion W Zhang, O Şerban, J Sun, Y Guo Knowledge-Based Systems 281, 111070, 2023 | | 2023 |
| The Ineffectiveness of TKGE Models in Encoding Real-World Knowledge Graphs R Ong, J Sun, O Serban, YK Guo | | |
Zhipeng WangImperial Colloge LondonVerified email at imperial.ac.uk
