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2020 – today
- 2024
[c8]Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart:
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space. AAAI 2024: 12313-12321- 2023
- [j4]Xin Sun
, Hui Wang, Kaiyang Guo, Yuru Bin, Heting Wang, Keqing Guo:
Analysis of Line-of-Sight Angle Characteristics for Intercepting a Non-Maneuvering Target With Impact Angle Constraints. IEEE Access 11: 41565-41577 (2023) - [i5]Mohsin Hasan, Guojun Zhang, Kaiyang Guo, Xi Chen, Pascal Poupart:
Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space. CoRR abs/2312.09817 (2023) - 2022
- [c7]Riming Wu, Yiliang Han, Kaiyang Guo, Kai Liu:
Information dissemination model of recommendation platform based on network community. DSC 2022: 633-641 - [c6]Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao:
Personalized Federated Learning via Variational Bayesian Inference. ICML 2022: 26293-26310 - [c5]Kaiyang Guo, Yunfeng Shao, Yanhui Geng:
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. NeurIPS 2022 - [i4]Haolin Yu, Kaiyang Guo, Mahdi Karami, Xi Chen, Guojun Zhang, Pascal Poupart:
Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process. CoRR abs/2206.06357 (2022) - [i3]Xu Zhang, Yinchuan Li, Wenpeng Li, Kaiyang Guo, Yunfeng Shao:
Personalized Federated Learning via Variational Bayesian Inference. CoRR abs/2206.07977 (2022) - [i2]Mohsin Hasan, Zehao Zhang, Kaiyang Guo, Mahdi Karami, Guojun Zhang, Xi Chen, Pascal Poupart:
Robust One Round Federated Learning with Predictive Space Bayesian Inference. CoRR abs/2206.09526 (2022) - [i1]Kaiyang Guo, Yunfeng Shao, Yanhui Geng:
Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. CoRR abs/2210.06692 (2022) - 2021
- [c4]Chao Wang, Yiliang Han, Xiaowei Duan, Kaiyang Guo:
Hierarchical Identity-Based Conditional Proxy Re-encryption Scheme Based RLWE and NTRU Variant. ICPCSEE (2) 2021: 240-259
2010 – 2019
- 2019
- [j3]Kaiyang Guo, Chenyang Yang:
Temporal-Spatial Recommendation for Caching at Base Stations via Deep Reinforcement Learning. IEEE Access 7: 58519-58532 (2019) - 2018
- [j2]Kaiyang Guo, Tingting Liu, Chenyang Yang, Zixiang Xiong:
Interference Coordination and Resource Allocation Planning With Predicted Average Channel Gains for HetNets. IEEE Access 6: 60137-60151 (2018) - [j1]Kaiyang Guo, Chenyang Yang, Tingting Liu, Zixiang Xiong:
Jointly Optimizing User Association and BS Muting for Cache-Enabled Networks With Network-Coded Multicast and Reconstructed Interference Cancelation. IEEE Trans. Commun. 66(11): 5539-5553 (2018) - 2017
- [c3]Kaiyang Guo, Chenyang Yang, Tingting Liu:
Interference management by exploiting cached files at users. PIMRC 2017: 1-6 - [c2]Kaiyang Guo, Chenyang Yang, Tingting Liu:
Caching in Base Station with Recommendation via Q-Learning. WCNC 2017: 1-6 - [c1]Kaiyang Guo, Rong-Hua Li, Shaojie Qiao, Zhenjun Li, Weipeng Zhang, Minhua Lu:
Efficient Order-Sensitive Activity Trajectory Search. WISE (1) 2017: 391-405
Coauthor Index
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last updated on 2024-07-26 19:35 CEST by the dblp team
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