Wireless Traffic Prediction with Scalable Gaussian Process: Framework, Algorithms, and Verification Y Xu, F Yin, W Xu, J Lin, S Cui IEEE Journal on Selected Areas in Communications 37 (6), 1291 - 1306, 2019 | 177 | 2019 |
FedLoc: Federated learning framework for data-driven cooperative localization and location data processing F Yin, Z Lin, Q Kong, Y Xu, D Li, S Theodoridis, SR Cui IEEE Open Journal of Signal Processing 1, 187-215, 2020 | 174 | 2020 |
Handover control in wireless systems via asynchronous multiuser deep reinforcement learning Z Wang, L Li, Y Xu, H Tian, S Cui IEEE Internet of Things Journal 5 (6), 4296-4307, 2018 | 150 | 2018 |
Load Balancing for Ultra-Dense Networks: A Deep Reinforcement Learning Based Approach Y Xu, W Xu, Z Wang, J Lin, S Cui IEEE Internet of Things Journal, 2019 | 101 | 2019 |
Scalable learning paradigms for data-driven wireless communication Y Xu, F Yin, W Xu, CH Lee, J Lin, S Cui IEEE Communications Magazine 58 (10), 81-87, 2020 | 59 | 2020 |
Label-aware graph convolutional networks H Chen, Y Xu, F Huang, Z Deng, W Huang, S Wang, P He, Z Li Proceedings of the 29th ACM international conference on information …, 2020 | 57 | 2020 |
High-accuracy wireless traffic prediction: A GP-based machine learning approach Y Xu, W Xu, F Yin, J Lin, S Cui GLOBECOM 2017-2017 IEEE Global Communications Conference, 1-6, 2017 | 52 | 2017 |
Generative adversarial framework for cold-start item recommendation H Chen, Z Wang, F Huang, X Huang, Y Xu, Y Lin, P He, Z Li Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 46 | 2022 |
Neighbor enhanced graph convolutional networks for node classification and recommendation H Chen, Z Huang, Y Xu, Z Deng, F Huang, P He, Z Li Knowledge-based systems 246, 108594, 2022 | 40 | 2022 |
Handover optimization via asynchronous multi-user deep reinforcement learning Z Wang, L Li, Y Xu, H Tian, S Cui 2018 IEEE International Conference on Communications (ICC), 1-6, 2018 | 33 | 2018 |
Distributed Gaussian Processes Hyperparameter Optimization for Big Data Using Proximal ADMM A Xie, F Yin, Y Xu, bo ai, T Chen, S Cui IEEE Signal Processing Letters, 2019 | 29 | 2019 |
Voting-Based Multi-Agent Reinforcement Learning Y Xu, Z Deng, M Wang, W Xu, AMC So, S Cui arXiv:1907.01385, 2019 | 27* | 2019 |
Multi-factor sequential re-ranking with perception-aware diversification Y Xu, H Chen, Z Wang, J Yin, Q Shen, D Wang, F Huang, L Lai, T Zhuang, ... Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 25 | 2023 |
Data-cognition-empowered intelligent wireless networks: Data, utilities, cognition brain, and architecture W Xu, Y Xu, CH Lee, Z Feng, P Zhang, J Lin IEEE Wireless Communications 25 (1), 56-63, 2018 | 24 | 2018 |
Deep Reinforcement Learning Based Mobility Load Balancing Under Multiple Behavior Policies Y Xu, W Xu, Z Wang, iaru Lin, S Cui 2019 IEEE International Conference on Communications (ICC), 2019 | 19 | 2019 |
Intelligent request strategy design in recommender system X Qian, Y Xu, F Lv, S Zhang, Z Jiang, Q Liu, X Zeng, TS Chua, F Wu Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 15 | 2022 |
Lower-complexity power allocation for LTE-U systems: A successive cap-limited waterfilling method W Xu, B Li, Y Xu, J Lin 2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 1-6, 2015 | 15 | 2015 |
Graph unfolding networks H Chen, W Huang, Y Xu, F Sun, Z Li Proceedings of the 29th ACM International Conference on Information …, 2020 | 9 | 2020 |
Non-recursive graph convolutional networks H Chen, Z Deng, Y Xu, Z Li ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 8 | 2021 |
Underlaid-D2D-assisted cooperative multicast based on social networks W Xu, S Li, Y Xu, X Lin Peer-to-Peer Networking and Applications 9, 923-935, 2016 | 8 | 2016 |