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 | 206 | 2020 |
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 | 186 | 2019 |
Pastanet: Toward human activity knowledge engine YL Li, L Xu, X Liu, X Huang, Y Xu, S Wang, HS Fang, Z Ma, M Chen, C Lu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 185 | 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 | 164 | 2018 |
Symmetry and group in attribute-object compositions YL Li, Y Xu, X Mao, C Lu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 144 | 2020 |
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 | 117 | 2019 |
Recent advances in data-driven wireless communication using Gaussian processes: A comprehensive survey K Chen, Q Kong, Y Dai, Y Xu, F Yin, L Xu, S Cui China Communications 19 (1), 218-237, 2022 | 76 | 2022 |
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 | 66 | 2020 |
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 | 65 | 2022 |
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 | 63 | 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 | 57 | 2017 |
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 | 55 | 2022 |
Hake: Human activity knowledge engine YL Li, L Xu, X Liu, X Huang, Y Xu, M Chen, Z Ma, S Wang, HS Fang, C Lu arXiv preprint arXiv:1904.06539, 2019 | 44 | 2019 |
Macro graph neural networks for online billion-scale recommender systems H Chen, Y Bei, Q Shen, Y Xu, S Zhou, W Huang, F Huang, S Wang, ... Proceedings of the ACM web conference 2024, 3598-3608, 2024 | 43 | 2024 |
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 | 43 | 2023 |
Constructing balance from imbalance for long-tailed image recognition Y Xu, YL Li, J Li, C Lu European Conference on Computer Vision, 38-56, 2022 | 41 | 2022 |
HAKE: A knowledge engine foundation for human activity understanding YL Li, X Liu, X Wu, Y Li, Z Qiu, L Xu, Y Xu, HS Fang, C Lu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (7), 8494-8506, 2022 | 37 | 2022 |
Human activity knowledge engine YL Li, L Xu, X Liu, X Huang, Y Xu, M Chen, Z Ma, S Wang, HS Fang, ... arXiv preprint arXiv:1904.06539 2 (6), 2019 | 35 | 2019 |
Chairperson collectivism and the compensation gap between managers and employees: Evidence from China W Jiang, B Lin, Y Liu, Y Xu Corporate Governance: An International Review 27 (4), 261-282, 2019 | 34 | 2019 |
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 | 32 | 2018 |