| Learning attentional communication for multi-agent cooperation J Jiang, Z Lu NeurIPS 2018, 2018 | 257 | 2018 |
| Graph convolutional reinforcement learning J Jiang, C Dun, T Huang, Z Lu ICLR 2020, 2020 | 208 | 2020 |
| Algorithms and applications for community detection in weighted networks Z Lu, X Sun, Y Wen, G Cao, T La Porta IEEE Transactions on Parallel and Distributed Systems 26 (11), 2916-2926, 2014 | 97 | 2014 |
| SymDetector: detecting sound-related respiratory symptoms using smartphones X Sun, Z Lu, W Hu, G Cao Proceedings of the 2015 ACM International Joint Conference on Pervasive and …, 2015 | 95 | 2015 |
| Networking smartphones for disaster recovery Z Lu, G Cao, T La Porta 2016 IEEE International Conference on Pervasive Computing and Communications …, 2016 | 81 | 2016 |
| Community detection in weighted networks: Algorithms and applications Z Lu, Y Wen, G Cao 2013 IEEE international conference on pervasive computing and communications …, 2013 | 81 | 2013 |
| Augur: Modeling the resource requirements of ConvNets on mobile devices Z Lu, S Rallapalli, K Chan, S Pu, T La Porta IEEE Transactions on Mobile Computing 20 (2), 352-365, 2019 | 73* | 2019 |
| Cooperative data offload in opportunistic networks: From mobile devices to infrastructure Z Lu, X Sun, T La Porta IEEE/ACM Transactions on Networking 25 (6), 3382-3395, 2017 | 73* | 2017 |
| Information diffusion in mobile social networks: The speed perspective Z Lu, Y Wen, G Cao IEEE INFOCOM 2014-IEEE Conference on Computer Communications, 1932-1940, 2014 | 65 | 2014 |
| Teamphone: Networking smartphones for disaster recovery Z Lu, G Cao, T La Porta IEEE Transactions on Mobile Computing 16 (12), 3554-3567, 2017 | 56 | 2017 |
| Protection of location privacy in continuous LBSs against adversaries with background information B Niu, S Gao, F Li, H Li, Z Lu 2016 International conference on computing, networking and communications …, 2016 | 50 | 2016 |
| Towards information diffusion in mobile social networks Z Lu, Y Wen, W Zhang, Q Zheng, G Cao IEEE Transactions on Mobile Computing 15 (5), 1292-1304, 2015 | 50 | 2015 |
| Towards more accurate automatic sleep staging via deep transfer learning H Phan, OY Chén, P Koch, Z Lu, I McLoughlin, A Mertins, M De Vos IEEE Transactions on Biomedical Engineering 68 (6), 1787-1798, 2020 | 47 | 2020 |
| A personalized two-tier cloaking scheme for privacy-aware location-based services B Niu, X Zhu, W Li, H Li, Y Wang, Z Lu 2015 international conference on computing, networking and communications …, 2015 | 39 | 2015 |
| Distributed algorithm for tree-structured data aggregation service placement in smart grid Z Lu, Y Wen IEEE Systems Journal 8 (2), 553-561, 2013 | 36 | 2013 |
| Task allocation for mobile cloud computing in heterogeneous wireless networks Z Lu, J Zhao, Y Wu, G Cao 2015 24th International Conference on Computer Communication and Networks …, 2015 | 33 | 2015 |
| Targeted vaccination based on a wireless sensor system X Sun, Z Lu, X Zhang, M Salathé, G Cao 2015 IEEE international conference on pervasive computing and communications …, 2015 | 33* | 2015 |
| Learning individually inferred communication for multi-agent cooperation Z Ding, T Huang, Z Lu Advances in Neural Information Processing Systems 33, 22069-22079, 2020 | 30 | 2020 |
| Crowdvision: A computing platform for video crowdprocessing using deep learning Z Lu, K Chan, S Pu, T La Porta IEEE Transactions on Mobile Computing 18 (7), 1513-1526, 2018 | 29* | 2018 |
| Toward efficient distributed algorithms for in-network binary operator tree placement in wireless sensor networks Z Lu, Y Wen, R Fan, SL Tan, J Biswas IEEE Journal on Selected Areas in Communications 31 (4), 743-755, 2013 | 27 | 2013 |
Thomas La PortaPenn State UniversityVerified email at cse.psu.edu
