An Overview of Recommender Systems and Its Next Generation: Context-Aware Recommender Systems. - Jiahao Liang 001 (CONF-SPML, 2021)

MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. - Jiahao Liang 001; Xiangyu Zhao 001; Muyang Li; Zijian Zhang 009; Wanyu Wang; Haochen Liu; Zitao Liu 001 (WWW, 2023)

Large Language Model Enhanced Graph Invariant Contrastive Learning for Out-of-Distribution Recommendation. - Jiahao Liang 001; Haoran Yang 001; Xiangyu Zhao 001; Zhiwen Yu 002; Mianjie Li; Chuan Shi; Kaixiang Yang 001 (CoRR, 2025)

C-HyPOD: Causal Hyperbolic Representation Learning with Prototype Orthogonal Disentanglement for Graph Out-of-Distribution Recommendation. - Jiahao Liang 001; Yutian Xiao; Haoran Yang 001; Zhiwen Yu 002; Jia-Nan Liu; Kaixiang Yang 001 (WWW, 2026)

Diffusion masked autoencoders as casual-aware curriculum learner for graph out-of-distribution generalization. - Jiahao Liang 001; Wuxing Chen; Zhiwen Yu 002; Tong Zhang 015; C. L. Philip Chen; Kaixiang Yang 001 (Inf. Fusion, 2026)

Democratic Recommendation With User and Item Representatives Produced by Graph Condensation. - Jiahao Liang 001; Haoran Yang 001; Xiangyu Zhao 001; Zhiwen Yu 002; Guandong Xu; Wanyu Wang; Kaixiang Yang 001 (IEEE Trans. Knowl. Data Eng., 2026)