| 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 | 550 | 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 | 501 | 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 | 385 | 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 | 345 | 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 | 278 | 2020 |
| Tinyvla: Towards fast, data-efficient vision-language-action models for robotic manipulation J Wen, Y Zhu, J Li, M Zhu, K Wu, Z Xu, N Liu, R Cheng, C Shen, Y Peng, ... IEEE Robotics and Automation Letters, 2024 | 219 | 2024 |
| 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 | 204 | 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 | 187 | 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 | 182 | 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 | 124 | 2018 |
| Robomind: Benchmark on multi-embodiment intelligence normative data for robot manipulation K Wu, C Hou, J Liu, Z Che, X Ju, Z Yang, M Li, Y Zhao, Z Xu, G Yang, ... Robotics: Science and Systems (RSS), 2024 | 93 | 2024 |
| A survey on robotics with foundation models: toward embodied ai Z Xu, K Wu, J Wen, J Li, N Liu, Z Che, J Tang arXiv preprint arXiv:2402.02385, 2024 | 83 | 2024 |
| Adversarial meta-learning C Yin, J Tang, Z Xu, Y Wang arXiv preprint arXiv:1806.03316, 2018 | 70 | 2018 |
| Chatvla: Unified multimodal understanding and robot control with vision-language-action model Z Zhou, Y Zhu, M Zhu, J Wen, N Liu, Z Xu, W Meng, Y Peng, C Shen, ... Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | 69 | 2025 |
| 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 | 69 | 2021 |
| 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 | 58 | 2020 |
| 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 | 54 | 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 | 48 | 2023 |
| 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 | 46 | 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 | 45 | 2022 |
Jian TangProfessor, IEEE Fellow and ACM Distinguished Member, Department of EECS, Syracuse UniversityVerified email at syr.edu
