| Crowdsourcing to smartphones: Incentive mechanism design for mobile phone sensing D Yang, G Xue, X Fang, J Tang ACM MobiCom 2012: Proceedings of the 18th annual international conference on …, 2012 | 1238 | 2012 |
| Interference-aware topology control and QoS routing in multi-channel wireless mesh networks J Tang, G Xue, W Zhang ACM MobiHoc 2005: Proceedings of the 6th ACM international symposium on …, 2005 | 668 | 2005 |
| Energy-efficient UAV control for effective and fair communication coverage: A deep reinforcement learning approach CH Liu, Z Chen, J Tang, J Xu, C Piao IEEE Journal on Selected Areas in Communications 36 (9), 2059-2070, 2018 | 598 | 2018 |
| A systematic dnn weight pruning framework using alternating direction method of multipliers T Zhang, S Ye, K Zhang, J Tang, W Wen, M Fardad, Y Wang Proceedings of the European conference on computer vision (ECCV), 184-199, 2018 | 550 | 2018 |
| Incentive mechanisms for crowdsensing: Crowdsourcing with smartphones D Yang, G Xue, X Fang, J Tang IEEE/ACM transactions on networking 24 (3), 1732-1744, 2015 | 476 | 2015 |
| 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 | 462 | 2018 |
| Relay node placement in large scale wireless sensor networks J Tang, B Hao, A Sen Computer Communications Journal 29 (4), 490-501, 2006 | 456 | 2006 |
| 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 | 444 | 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 | 340 | 2017 |
| C ir CNN: accelerating and compressing deep neural networks using block-circulant weight matrices C Ding, S Liao, Y Wang, Z Li, N Liu, Y Zhuo, C Wang, X Qian, Y Bai, ... IEEE/ACM MICRO 2017: Proceedings of the 50th Annual IEEE/ACM International …, 2017 | 338 | 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 | 320 | 2017 |
| Optimizing electric vehicle charging: A customer's perspective C Jin, J Tang, P Ghosh IEEE Transactions on vehicular technology 62 (7), 2919-2927, 2013 | 312 | 2013 |
| Optimizing electric vehicle charging with energy storage in the electricity market C Jin, J Tang, P Ghosh IEEE Transactions on Smart Grid 4 (1), 311-320, 2013 | 295 | 2013 |
| T-storm: Traffic-aware online scheduling in storm J Xu, Z Chen, J Tang, S Su IEEE ICDCS 2014: 34th IEEE International Conference on Distributed Computing …, 2014 | 282 | 2014 |
| Distributed energy-efficient multi-UAV navigation for long-term communication coverage by deep reinforcement learning CH Liu, X Ma, X Gao, J Tang IEEE Transactions on Mobile Computing 19 (6), 1274-1285, 2019 | 248 | 2019 |
| Sensing as a service: Challenges, solutions and future directions X Sheng, J Tang, X Xiao, G Xue IEEE Sensors Journal 13 (10), 3733-3741, 2013 | 235 | 2013 |
| 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 | 231 | 2020 |
| Learning gradient fields for molecular conformation generation C Shi, S Luo, M Xu, J Tang International conference on machine learning, 9558-9568, 2021 | 221 | 2021 |
| Constrained relay node placement in wireless sensor networks: Formulation and approximations S Misra, SD Hong, G Xue, J Tang IEEE/ACM Transactions on networking 18 (2), 434-447, 2009 | 220 | 2009 |
| Fault-tolerant relay node placement in wireless sensor networks: formulation and approximation B Hao, J Tang, G Xue IEEE HPSR 2004: IEEE Workshop on High Performance Switching and Routing, 246-250, 2004 | 210 | 2004 |
Guoliang XueProfessor of Computer Science and Engineering, Arizona State University在 asu.edu 的电子邮件经过验证