Interference management by exploiting cached files at users. - Kaiyang Guo; Chenyang Yang 001; Tingting Liu 001 (PIMRC, 2017)

Caching in Base Station with Recommendation via Q-Learning. - Kaiyang Guo; Chenyang Yang 001; Tingting Liu 001 (WCNC, 2017)

Efficient Order-Sensitive Activity Trajectory Search. - Kaiyang Guo; Rong-Hua Li; Shaojie Qiao; Zhenjun Li; Weipeng Zhang; Minhua Lu (WISE (1), 2017)

Interference Coordination and Resource Allocation Planning With Predicted Average Channel Gains for HetNets. - Kaiyang Guo; Tingting Liu 001; Chenyang Yang 001; Zixiang Xiong (IEEE Access, 2018)

Jointly Optimizing User Association and BS Muting for Cache-Enabled Networks With Network-Coded Multicast and Reconstructed Interference Cancelation. - Kaiyang Guo; Chenyang Yang 001; Tingting Liu 001; Zixiang Xiong (IEEE Trans. Commun., 2018)

Temporal-Spatial Recommendation for Caching at Base Stations via Deep Reinforcement Learning. - Kaiyang Guo; Chenyang Yang 001 (IEEE Access, 2019)

Hierarchical Identity-Based Conditional Proxy Re-encryption Scheme Based RLWE and NTRU Variant. - Chao Wang; Yiliang Han; Xiaowei Duan; Kaiyang Guo (ICPCSEE (2), 2021)

Information dissemination model of recommendation platform based on network community. - Riming Wu; Yiliang Han; Kaiyang Guo; Kai Liu (DSC, 2022)

Personalized Federated Learning via Variational Bayesian Inference. - Xu Zhang 011; Yinchuan Li; Wenpeng Li; Kaiyang Guo; Yunfeng Shao 001 (ICML, 2022)

Model-Based Offline Reinforcement Learning with Pessimism-Modulated Dynamics Belief. - Kaiyang Guo; Yunfeng Shao 001; Yanhui Geng (NeurIPS, 2022)

Federated Bayesian Neural Regression: A Scalable Global Federated Gaussian Process. - Haolin Yu; Kaiyang Guo; Mahdi Karami; Xi Chen; Guojun Zhang; Pascal Poupart (CoRR, 2022)

Robust One Round Federated Learning with Predictive Space Bayesian Inference. - Mohsin Hasan; Zehao Zhang; Kaiyang Guo; Mahdi Karami; Guojun Zhang; Xi Chen; Pascal Poupart (CoRR, 2022)

Analysis of Line-of-Sight Angle Characteristics for Intercepting a Non-Maneuvering Target With Impact Angle Constraints. - Xin Sun; Hui Wang 104; Kaiyang Guo; Yuru Bin; Heting Wang; Keqing Guo (IEEE Access, 2023)

Calibrated One Round Federated Learning with Bayesian Inference in the Predictive Space. - Mohsin Hasan; Guojun Zhang; Kaiyang Guo; Xi Chen; Pascal Poupart (AAAI, 2024)

Generative Models in Decision Making: A Survey. - Yinchuan Li; Xinyu Shao; Jianping Zhang; Haozhi Wang; Leo Maxime Brunswic; Kaiwen Zhou; Jiqian Dong; Kaiyang Guo; Xiu Li 001; Zhitang Chen; Jun Wang 012; Jianye Hao (CoRR, 2025)

Proximalized Preference Optimization for Diverse Feedback Types: A Decomposed Perspective on DPO. - Kaiyang Guo; Yinchuan Li; Zhitang Chen (CoRR, 2025)