| FedGCN: Convergence and Communication Tradeoffs in Federated Training of Graph Convolutional Networks Y Yao, W Jin, S Ravi, C Joe-Wong NeurIPS 2023, 2022 | 16 | 2022 |
| GLP: A novel framework for group-level location promotion in geo-social networks X Wu, L Fu, Y Yao, X Fu, X Wang, G Chen IEEE/ACM Transactions on Networking 26 (6), 2870-2883, 2018 | 16 | 2018 |
| Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks Y Yao, C Joe-Wong Proceedings of the AAAI Conference on Artificial Intelligence 35 (5), 4608-4616, 2021 | 15 | 2021 |
| Gcn-se: Attention as explainability for node classification in dynamic graphs Y Fan, Y Yao, C Joe-Wong 2021 IEEE International Conference on Data Mining (ICDM), 1060-1065, 2021 | 11 | 2021 |
| FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System W Jin, Y Yao, S Han, C Joe-Wong, S Ravi, S Avestimehr, C He NeurIPS 2023 Federated Learning Workshop, 2023 | 8 | 2023 |
| Modeling, analysis and validation of evolving networks with hybrid interactions J Liu, L Fu, Y Yao, X Fu, X Wang, G Chen IEEE/ACM Transactions on Networking 27 (1), 126-142, 2018 | 7 | 2018 |
| Core percolation in interdependent networks J Zhang, L Fu, S Li, Y Yao, X Wang IEEE Transactions on Network Science and Engineering 6 (4), 952-967, 2018 | 6 | 2018 |
| Evolving K-graph: Modeling hybrid interactions in networks J Liu, Y Yao, X Fu, L Fu, XY Liu, X Wang Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc …, 2017 | 4 | 2017 |
| FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs S Han, B Buyukates, Z Hu, H Jin, W Jin, L Sun, X Wang, C Xie, Y Yao, ... arXiv preprint arXiv:2306.04959, 2023 | 3 | 2023 |
| FedRule: Federated Rule Recommendation System with Graph Neural Networks Y Yao, MM Kamani, Z Cheng, L Chen, C Joe-Wong, T Liu Proceedings of the 8th ACM/IEEE Conference on Internet of Things Design and …, 2023 | 2 | 2023 |
| Core percolation in coupled networks J Pan, Y Yao, L Fu, X Wang Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc …, 2017 | 2 | 2017 |
| Kick Bad Guys Out! Zero-Knowledge-Proof-Based Anomaly Detection in Federated Learning S Han, W Wu, B Buyukates, W Jin, Y Yao, Q Zhang, S Avestimehr, C He arXiv preprint arXiv:2310.04055, 2023 | 1 | 2023 |
| A neural-based bandit approach to mobile crowdsourcing S Lin, Y Yao, P Zhang, HY Noh, C Joe-Wong Proceedings of the 23rd Annual International Workshop on Mobile Computing …, 2022 | 1 | 2022 |
| Wyze Rule: Federated Rule Dataset for Rule Recommendation Benchmarking MM Kamani, Y Yao, H Lyu, Z Cheng, L Chen, L Li, C Joe-Wong, J Luo Thirty-seventh Conference on Neural Information Processing Systems Datasets …, 2023 | | 2023 |
| Faithful Explanations for Deep Graph Models Z Wang, Y Yao, C Zhang, H Zhang, Y Kang, C Joe-Wong, M Fredrikson, ... arXiv preprint arXiv:2205.11850, 2022 | | 2022 |
| Personalized Federated Graph Learning K Pansetty, Y Yao, MM Kamani, C Joe-Wong CrossFL-MLSys, 2022 | | 2022 |
| APRP: an anonymous propagation method in Bitcoin network Y Yao, X Zeng, T Cao, L Fu, X Wang Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 10073 …, 2019 | | 2019 |
Carlee Joe-WongRobert E. Doherty Associate Professor, Carnegie Mellon UniversityAdresse e-mail validée de andrew.cmu.edu
