Automating botnet detection with graph neural networks J Zhou, Z Xu, AM Rush, M Yu AutoML Workshop for Networking and Systems Workshop of MLSys 2020 Conference, 2020 | 96 | 2020 |
Teal: Learning-accelerated optimization of wan traffic engineering Z Xu, FY Yan, R Singh, JT Chiu, AM Rush, M Yu Proceedings of the ACM SIGCOMM 2023 Conference, 378-393, 2023 | 35 | 2023 |
Determining source–destination connectivity in uncertain networks: Modeling and solutions L Fu, X Fu, Z Xu, Q Peng, X Wang, S Lu IEEE/ACM Transactions on Networking 25 (6), 3237-3252, 2017 | 28 | 2017 |
Joint optimization of multicast energy in delay-constrained mobile wireless networks L Fu, X Fu, Z Zhang, Z Xu, X Wu, X Wang, S Lu IEEE/ACM Transactions on Networking 26 (1), 633-646, 2018 | 23 | 2018 |
De-anonymization of networks with communities: When quantifications meet algorithms X Fu, Z Hu, Z Xu, L Fu, X Wang GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 21* | 2017 |
ConMap: A novel framework for optimizing multicast energy in delay-constrained mobile wireless networks X Fu, Z Xu, Q Peng, J You, L Fu, X Wang, S Lu Proceedings of the 18th ACM International Symposium on Mobile Ad Hoc …, 2017 | 17 | 2017 |
Complexity vs. optimality: Unraveling source-destination connection in uncertain graphs X Fu, Z Xu, Q Peng, L Fu, X Wang IEEE INFOCOM 2017-IEEE Conference on Computer Communications, 1-9, 2017 | 11 | 2017 |
Xatu: Boosting existing DDoS detection systems using auxiliary signals Z Xu, S Ramanathan, A Rush, J Mirkovic, M Yu Proceedings of the 18th International Conference on emerging Networking …, 2022 | 7 | 2022 |
Seeking the truth in a decentralized manner L Fu, J Xu, S Qu, Z Xu, X Wang, G Chen IEEE/ACM Transactions on Networking 29 (5), 2296-2312, 2021 | 7 | 2021 |
Zeal: Rethinking Large-Scale Resource Allocation with" Decouple and Decompose" Z Xu, FY Yan, M Yu arXiv preprint arXiv:2412.11447, 2024 | | 2024 |
Timely and Efficient Resource Management in Networked Systems Z Xu Harvard University, 2024 | | 2024 |