Shuchang Liu

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 22

Top Topics

Personalized Recommendation

Marginal Utility

Language Processing

Matrix Factorization

Top Venues

Publications

Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang
VIP5: Towards Multimodal Foundation Models for Recommendation. EMNLP (Findings) (2023)
Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang
VIP5: Towards Multimodal Foundation Models for Recommendation. CoRR (2023)
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). RecSys (2022)
Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). CoRR (2022)
Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang
Graph Collaborative Reasoning. WSDM (2022)
Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang
Fairness in Recommendation: A Survey. CoRR (2022)
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
Explainable Fairness in Recommendation. CoRR (2022)
Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian
Fairness-aware Federated Matrix Factorization. RecSys (2022)
Yingqiang Ge, Shuchang Liu, Zuohui Fu, Juntao Tan, Zelong Li, Shuyuan Xu, Yunqi Li, Yikun Xian, Yongfeng Zhang
A Survey on Trustworthy Recommender Systems. CoRR (2022)
Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
Explainable Fairness in Recommendation. SIGIR (2022)
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
Towards Long-term Fairness in Recommendation. CoRR (2021)
Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang
Graph Collaborative Reasoning. CoRR (2021)
Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang
Counterfactual Evaluation for Explainable AI. CoRR (2021)
Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian
FedCT: Federated Collaborative Transfer for Recommendation. SIGIR (2021)
Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
Towards Long-term Fairness in Recommendation. WSDM (2021)
Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang
Variation Control and Evaluation for Generative Slate Recommendations. WWW (2021)
Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang
Discrete Knowledge Graph Embedding based on Discrete Optimization. CoRR (2021)
Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang
Variation Control and Evaluation for Generative SlateRecommendations. CoRR (2021)
Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yongfeng Zhang
Learning Post-Hoc Causal Explanations for Recommendation. CoRR (2020)
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
Learning Personalized Risk Preferences for Recommendation. CoRR (2020)
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
Learning Personalized Risk Preferences for Recommendation. SIGIR (2020)
Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang
Maximizing Marginal Utility per Dollar for Economic Recommendation. WWW (2019)