| Deep neural network approximated dynamic programming for combinatorial optimization S Xu, SS Panwar, M Kodialam, TV Lakshman Proceedings of the AAAI Conference on Artificial Intelligence 34 (02), 1684-1691, 2020 | 34 | 2020 |
| Realtime scheduling and power allocation using deep neural networks S Xu, P Liu, R Wang, SS Panwar 2019 IEEE Wireless Communications and Networking Conference (WCNC), 1-5, 2019 | 20 | 2019 |
| Learning based methods for traffic matrix estimation from link measurements S Xu, M Kodialam, TV Lakshman, SS Panwar IEEE Open Journal of the Communications Society 2, 488-499, 2021 | 14 | 2021 |
| Mitigating targeting bias in content recommendation with causal bandits' Y Zhao, M Goodman, S Kanase, S Xu, Y Kimmel, B Payne, S Khan, ... | 7 | 2022 |
| An application of causal bandit to content optimization S Kanase, Y Zhao, S Xu, M Goodman, M Mandalapu, B Ward, C Jeon, ... | 5 | 2022 |
| Tomography based learning for load distribution through opaque networks S Xu, M Kodialam, TV Lakshman, SS Panwar IEEE Open Journal of the Communications Society 2, 656-670, 2021 | 5 | 2021 |
| Machine learning attribution: Inferring item-level impact from slate recommendation in e-commerce S Xu, Y Zhao, S Kanase, M Goodman, S Khan, B Payne, P Grao | 2 | 2022 |
| Capacity analysis for full duplex self-backhauled small cells S Xu, P Liu, S Goyal, SS Panwar 2018 IEEE Globecom Workshops (GC Wkshps), 1-6, 2018 | 1 | 2018 |
| Compressive Sensing Improvement Based on Projection Replacement in Measurement Space X Hou, Z Chen, S Xu Proceedings of International Conference on Internet Multimedia Computing and …, 2014 | 1 | 2014 |
| Learning Based Methods for Optimization and Estimation in Communications S Xu New York University Tandon School of Engineering, 2020 | | 2020 |
| Exploiting network similarity for latency prediction of edge devices S Xu, P Liu, SS Panwar 2017 IEEE International Conference on Communications (ICC), 1-5, 2017 | | 2017 |
