| Lumos5G: Mapping and predicting commercial mmWave 5G throughput A Narayanan, E Ramadan, R Mehta, X Hu, Q Liu, RAK Fezeu, ... Proceedings of the ACM Internet Measurement Conference, 176-193, 2020 | 136 | 2020 |
| Physics-guided deep neural networks for power flow analysis X Hu, H Hu, S Verma, ZL Zhang IEEE Transactions on Power Systems 36 (3), 2082-2092, 2020 | 110 | 2020 |
| Raven: belady-guided, predictive (deep) learning for in-memory and content caching X Hu, E Ramadan, W Ye, F Tian, ZL Zhang Proceedings of the 18th International Conference on emerging Networking …, 2022 | 9 | 2022 |
| Interactive and stochastic complex geological-surface reconstruction based on sketch X Hu, L Cai, Q Wang SEG Technical Program Expanded Abstracts 2016, 1997-2002, 2016 | 5 | 2016 |
| Towards a graph signal processing framework for modeling power system dynamics X Hu, ZL Zhang 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2019 | 3 | 2019 |
| COREL: Constrained Reinforcement Learning for Video Streaming ABR Algorithm Design Over mmWave 5G X Hu, A Ghosh, X Liu, ZL Zhang, N Shroff 2023 IEEE International Workshop Technical Committee on Communications …, 2023 | | 2023 |
| 5GNN: extrapolating 5G measurements through GNNs W Ye, X Hu, T Liu, R Sun, Y Li, ZL Zhang Proceedings of the 1st International Workshop on Graph Neural Networking, 36-41, 2022 | | 2022 |
