Zongqing Lu
Zongqing Lu
Associate Professor, School of Computer Science, Peking University
Потвърден имейл адрес: pku.edu.cn - Начална страница
Learning attentional communication for multi-agent cooperation
J Jiang, Z Lu
NeurIPS 2018, 2018
Graph convolutional reinforcement learning
J Jiang, C Dun, T Huang, Z Lu
ICLR 2020, 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
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
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
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
Learning individually inferred communication for multi-agent cooperation
Z Ding, T Huang, Z Lu
Advances in neural information processing systems 33, 22069-22079, 2020
Networking smartphones for disaster recovery
Z Lu, G Cao, T La Porta
2016 IEEE International Conference on Pervasive Computing and Communications …, 2016
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
Community detection in weighted networks: Algorithms and applications
Z Lu, Y Wen, G Cao
2013 IEEE international conference on pervasive computing and communications …, 2013
Teamphone: Networking smartphones for disaster recovery
Z Lu, G Cao, T La Porta
IEEE Transactions on Mobile Computing 16 (12), 3554-3567, 2017
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
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
Mildly conservative Q-learning for offline reinforcement learning
J Lyu, X Ma, X Li, Z Lu
NeurIPS 2022, 2022
Learning fairness in multi-agent systems
J Jiang, Z Lu
NeurIPS 2019, 2019
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
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
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
Skill Reinforcement Learning and Planning for Open-World Long-Horizon Tasks
H Yuan, C Zhang, H Wang, F Xie, P Cai, H Dong, Z Lu
arXiv preprint arXiv:2303.16563, 2023
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
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20