| Experience-driven networking: A deep reinforcement learning based approach Z Xu, J Tang, J Meng, W Zhang, Y Wang, CH Liu, D Yang IEEE INFOCOM 2018-IEEE conference on computer communications, 1871-1879, 2018 | 489 | 2018 |
| Spatiotemporal modeling and prediction in cellular networks: A big data enabled deep learning approach J Wang, J Tang, Z Xu, Y Wang, G Xue, X Zhang, D Yang IEEE INFOCOM 2017-IEEE conference on computer communications, 1-9, 2017 | 455 | 2017 |
| A hierarchical framework of cloud resource allocation and power management using deep reinforcement learning N Liu, Z Li, J Xu, Z Xu, S Lin, Q Qiu, J Tang, Y Wang 2017 IEEE 37th international conference on distributed computing systems …, 2017 | 348 | 2017 |
| A deep reinforcement learning based framework for power-efficient resource allocation in cloud RANs Z Xu, Y Wang, J Tang, J Wang, MC Gursoy 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 324 | 2017 |
| Autocompress: An automatic dnn structured pruning framework for ultra-high compression rates N Liu, X Ma, Z Xu, Y Wang, J Tang, J Ye Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4876-4883, 2020 | 241 | 2020 |
| Experience-driven congestion control: When multi-path TCP meets deep reinforcement learning Z Xu, J Tang, C Yin, Y Wang, G Xue IEEE Journal on Selected Areas in Communications 37 (6), 1325-1336, 2019 | 181 | 2019 |
| Learning-based energy-efficient data collection by unmanned vehicles in smart cities B Zhang, CH Liu, J Tang, Z Xu, J Ma, W Wang IEEE Transactions on Industrial Informatics 14 (4), 1666-1676, 2017 | 171 | 2017 |
| Deep reinforcement learning for dynamic treatment regimes on medical registry data Y Liu, B Logan, N Liu, Z Xu, J Tang, Y Wang 2017 IEEE international conference on healthcare informatics (ICHI), 380-385, 2017 | 158 | 2017 |
| Model-free control for distributed stream data processing using deep reinforcement learning T Li, Z Xu, J Tang, Y Wang Proceedings of the VLDB Endowment, 2018, 2018 | 119 | 2018 |
| Adversarial meta-learning C Yin, J Tang, Z Xu, Y Wang arXiv preprint arXiv:1806.03316, 2018 | 64 | 2018 |
| Knowledge transfer in multi-task deep reinforcement learning for continuous control Z Xu, K Wu, Z Che, J Tang, J Ye Advances on Neural Information Processing Systems (NeurIPS) 2020, 2020 | 46 | 2020 |
| Bridging the gap between semantic segmentation and instance segmentation C Yin, J Tang, T Yuan, Z Xu, Y Wang IEEE Transactions on Multimedia 24, 4183-4196, 2021 | 41 | 2021 |
| Learning the dynamic treatment regimes from medical registry data through deep Q-network N Liu, Y Liu, B Logan, Z Xu, J Tang, Y Wang Scientific reports 9 (1), 1495, 2019 | 41 | 2019 |
| Rgb-depth fusion gan for indoor depth completion H Wang, M Wang, Z Che, Z Xu, X Qiao, M Qi, F Feng, J Tang Proceedings of the ieee/cvf conference on computer vision and pattern …, 2022 | 37 | 2022 |
| Memory augmented deep recurrent neural network for video question answering C Yin, J Tang, Z Xu, Y Wang IEEE transactions on neural networks and learning systems 31 (9), 3159-3167, 2019 | 32 | 2019 |
| Cadre: A cascade deep reinforcement learning framework for vision-based autonomous urban driving Y Zhao, K Wu, Z Xu, Z Che, Q Lu, J Tang, CH Liu Proceedings of the AAAI conference on artificial intelligence 36 (3), 3481-3489, 2022 | 31 | 2022 |
| Scalekd: Distilling scale-aware knowledge in small object detector Y Zhu, Q Zhou, N Liu, Z Xu, Z Ou, X Mou, J Tang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
| Teach less, learn more: On the undistillable classes in knowledge distillation Y Zhu, N Liu, Z Xu, X Liu, W Meng, L Wang, Z Ou, J Tang Advances in Neural Information Processing Systems 35, 32011-32024, 2022 | 29 | 2022 |
| An actor-critic-based transfer learning framework for experience-driven networking Z Xu, D Yang, J Tang, Y Tang, T Yuan, Y Wang, G Xue IEEE/ACM Transactions on Networking 29 (1), 360-371, 2020 | 24 | 2020 |
| CP3: Channel pruning plug-in for point-based networks Y Huang, N Liu, Z Che, Z Xu, C Shen, Y Peng, G Zhang, X Liu, F Feng, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 20 | 2023 |
Jian TangProfessor, IEEE Fellow and ACM Distinguished Member, Department of EECS, Syracuse UniversityDirección de correo verificada de syr.edu