Federated low-rank tensor projections for sequential recommendation. - Li Li 122; Fan Lin; Jianbing Xiahou; Yuanguo Lin; Pengcheng Wu; Yong Liu 020 (Knowl. Based Syst., 2022)

Hierarchical reinforcement learning with dynamic recurrent mechanism for course recommendation. - Yuanguo Lin; Fan Lin; Wenhua Zeng; Jianbing Xiahou; Li Li 122; Pengcheng Wu; Yong Liu 020; Chunyan Miao (Knowl. Based Syst., 2022)

DistVAE: Distributed Variational Autoencoder for sequential recommendation. - Li Li 122; Jianbing Xiahou; Fan Lin; Songzhi Su (Knowl. Based Syst., 2023)

Semi-global sequential recommendation via EM-like federated training. - Li Li 122; Zhuohuang Zhang; Chenxi Huang 001; Jianwei Zhang 014 (Expert Syst. Appl., 2024)

VoRec: Enhancing Recommendation with Voronoi Diagram in Hyperbolic Space. - Yong Chen; Li Li 122; Wei Peng 009; Songzhi Su (SIGIR, 2025)

Attention-based federated learning for multi-dimensional personalized recommendation system. - Lining Zheng; Hong Chen; Yuanguo Lin; Li Li 122; Yuanhui Yu; Hefeng Chen; Kangkang Li; Runshan Hu; Shutong Xie (J. King Saud Univ. Comput. Inf. Sci., 2025)

Symmetry-Aware Sequential Recommendation with Dual-Domain Filtering Networks. - Li Li 122; Yueheng Du; Yingdong Wang (Symmetry, 2025)

ARDiff: Anisotropic Residual Diffusion for Heterogeneous Graph Learning. - Yong Chen; Li Li 122; Nannan Zong; Zhihui Liu; Song-Zhi Su (AAAI, 2026)

MAPLE-VAE: MAP-based LaplacE VAE for robust density estimation. - Nannan Zong; Li Li 122; Wenfang Xiang; Changle Zhou; Songzhi Su (Pattern Recognit., 2026)

Three Creates All: You Only Sample 3 Steps. - Yuren Cai; Guangyi Wang; Zongqing Li; Li Li 122; Zhihui Liu; Songzhi Su (CoRR, 2026)