Learning to learn the future: Modeling concept drifts in time series prediction X You, M Zhang, D Ding, F Feng, Y Huang Proceedings of the 30th ACM International Conference on Information …, 2021 | 19 | 2021 |
Mass: Model-agnostic, semantic and stealthy data poisoning attack on knowledge graph embedding X You, B Sheng, D Ding, M Zhang, X Pan, M Yang, F Feng Proceedings of the ACM Web Conference 2023, 2000-2010, 2023 | 4 | 2023 |
Anti-fakeu: Defending shilling attacks on graph neural network based recommender model X You, C Li, D Ding, M Zhang, F Feng, X Pan, M Yang Proceedings of the ACM Web Conference 2023, 938-948, 2023 | 4 | 2023 |
RRL: Recommendation Reverse Learning X You, J Xu, M Zhang, Z Gao, M Yang Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 9296-9304, 2024 | 1 | 2024 |
Autogcf: Personalized aggregation on neural graph collaborative filtering X You, C Li, J Xu, M Zhang ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 1 | 2023 |
GNNFingers: A Fingerprinting Framework for Verifying Ownerships of Graph Neural Networks X You, Y Jiang, J Xu, M Zhang, M Yang Proceedings of the ACM on Web Conference 2024, 652-663, 2024 | | 2024 |
GNNGuard: A Fingerprinting Framework for Verifying Ownerships of Graph Neural Networks X You, Y Jiang, J Xu, M Zhang, M Yang The Web Conference 2024, 0 | | |