A Hybrid Recommender System Based on Autoencoder and Latent Feature Analysis. - Shangzhi Guo; Xiaofeng Liao; Gang Li; Kaiyi Xian; Yuhang Li; Cheng Liang (Entropy, 2023)

FMM-RNS: A Fast HMM Map Matching Method Based on Road Network Simplification. - Fei Meng; Chao Chen 004; Shangzhi Guo; Ruiyuan Li; Jiale Zhao (WISE (PhD Symposium, Demos and Workshops), 2024)

FSASA: Sequential recommendation based on fusing session-aware models and self-attention networks. - Shangzhi Guo; Xiaofeng Liao; Fei Meng; Qing Zhao; Yuling Tang; Hui Li; Qinqin Zong (Comput. Sci. Inf. Syst., 2024)

Ets-ddpg: an energy-efficient and QoS-guaranteed edge task scheduling approach based on deep reinforcement learning. - Jiale Zhao; Yunni Xia; Xiaoning Sun; Tingyan Long; Qinglan Peng; Shangzhi Guo; Fei Meng; Yumin Dong; Qing Xia (Wirel. Networks, 2025)