Probing Negative Sampling for Contrastive Learning to Learn Graph Representations. - Shiyi Chen; Ziao Wang; Xinni Zhang; Xiaofeng Zhang; Dan Peng (ECML/PKDD (2), 2021)

Probing Negative Sampling Strategies to Learn GraphRepresentations via Unsupervised Contrastive Learning. - Shiyi Chen; Ziao Wang; Xinni Zhang; Xiaofeng Zhang; Dan Peng (CoRR, 2021)

Why do Semantically Unrelated Categories Appear in the Same Session?: A Demand-aware Method. - Liqi Yang; Linhao Luo; Xiaofeng Zhang 002; Fengxin Li; Xinni Zhang; Zelin Jiang; Shuai Tang (SIGIR, 2022)

Knowledge-aware Neural Networks with Personalized Feature Referencing for Cold-start Recommendation. - Xinni Zhang; Yankai Chen 001; Cuiyun Gao 001; Qing Liao 001; Shenglin Zhao; Irwin King (CoRR, 2022)

When Convolutional Network Meets Temporal Heterogeneous Graphs: An Effective Community Detection Method. - Yaping Zheng; Xiaofeng Zhang 002; Shiyi Chen; Xinni Zhang; Xiaofei Yang 002; Di Wang 004 (IEEE Trans. Knowl. Data Eng., 2023)

Influential Exemplar Replay for Incremental Learning in Recommender Systems. - Xinni Zhang; Yankai Chen 001; Chenhao Ma 001; Yixiang Fang; Irwin King (AAAI, 2024)

Recent Advances of Multimodal Continual Learning: A Comprehensive Survey. - Dianzhi Yu; Xinni Zhang; Yankai Chen 001; Aiwei Liu; Yifei Zhang; Philip S. Yu; Irwin King (CoRR, 2024)

G-Refer: Graph Retrieval-Augmented Large Language Model for Explainable Recommendation. - Yuhan Li 001; Xinni Zhang; Linhao Luo; Heng Chang; Yuxiang Ren; Irwin King; Jia Li 009 (WWW, 2025)

Learning Binarized Representations with Pseudo-positive Sample Enhancement for Efficient Graph Collaborative Filtering. - Yankai Chen 001; Yue Que; Xinni Zhang; Chen Ma 001; Irwin King (ACM Trans. Inf. Syst., 2025)