| Learning attentional communication for multi-agent cooperation J Jiang, Z Lu NeurIPS 2018, 2018 | 569 | 2018 |
| Graph convolutional reinforcement learning J Jiang, C Dun, T Huang, Z Lu ICLR 2020, 2020 | 470 | 2020 |
| 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 | 146 | 2020 |
| Learning individually inferred communication for multi-agent cooperation Z Ding, T Huang, Z Lu Advances in neural information processing systems 33, 22069-22079, 2020 | 122 | 2020 |
| 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 | 122* | 2019 |
| 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 | 116 | 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 | 112 | 2015 |
| Mildly conservative Q-learning for offline reinforcement learning J Lyu, X Ma, X Li, Z Lu NeurIPS 2022, 2022 | 105 | 2022 |
| Towards human-level bimanual dexterous manipulation with reinforcement learning Y Chen, Y Yang, T Wu, S Wang, X Feng, J Jiang, SM McAleer, H Dong, ... NeurIPS 2022, 2022 | 94 | 2022 |
| Networking smartphones for disaster recovery Z Lu, G Cao, T La Porta 2016 IEEE International Conference on Pervasive Computing and Communications …, 2016 | 93 | 2016 |
| Fop: Factorizing optimal joint policy of maximum-entropy multi-agent reinforcement learning T Zhang, Y Li, C Wang, G Xie, Z Lu ICML 2021, 12491-12500, 2021 | 88 | 2021 |
| 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 | 84* | 2017 |
| Plan4mc: Skill reinforcement learning and planning for open-world minecraft tasks PKU BAAI arXiv preprint arXiv:2303.16563, 2023 | 83* | 2023 |
| Community detection in weighted networks: Algorithms and applications Z Lu, Y Wen, G Cao 2013 IEEE international conference on pervasive computing and communications …, 2013 | 83 | 2013 |
| Learning fairness in multi-agent systems J Jiang, Z Lu NeurIPS 2019, 2019 | 80 | 2019 |
| Teamphone: Networking smartphones for disaster recovery Z Lu, G Cao, T La Porta IEEE Transactions on Mobile Computing 16 (12), 3554-3567, 2017 | 80 | 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 | 68 | 2014 |
| Hierarchically and cooperatively learning traffic signal control B Xu, Y Wang, Z Wang, H Jia, Z Lu Proceedings of the AAAI conference on artificial intelligence 35 (1), 669-677, 2021 | 62 | 2021 |
| A survey on transformers in reinforcement learning W Li, H Luo, Z Lin, C Zhang, Z Lu, D Ye arXiv preprint arXiv:2301.03044, 2023 | 59 | 2023 |
| 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 | 57 | 2016 |
