Talks and Presentations

• Liang Zhang, Guannan Liu, Junjie Wu, and Yong Tan. Money May Be No Object: Modeling Reference-dependent Choices with Graph Neural Networks for Recommendation. In Conference on Information Systems and Technology (CIST 2024, Session Chair).
• Liang Zhang, Guannan Liu, Junjie Wu, and Yong Tan. Personalized Bundle Design: A Hypergraph-based Approach with Psychological Distance Awareness. In INFORMS Workshop on Data Science (WDS 2024).
• Guannan Liu, Liang Zhang, Junjie Wu and Xiao Fang. Recommendation with Attribute-aware Product Networks: A Representation Learning Model. In INFORMS Workshop on Data Science (WDS 2020).
• Xueqian Li, Liang Zhang, Guannan Liu, and Junjie Wu. Content-enhanced Bayesian Personalized Ranking. In Proceedings of International Conference on Service Systems and Service Management (ICSSSM 2019).
• Liang Zhang, Guannan Liu, Xin Wan, Junjie Wu, and Peng Li. Temporal Item Embedding with Static Similarity Regularization for Sequential Recommendation. In Proceedings of International Conference on Service Systems and Service Management (ICSSSM 2018).