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Shuchang Liu 0001
Person information
- affiliation: Rutgers University, Piscataway, NJ, USA
Other persons with the same name
- Shuchang Liu 0002 — National University of Defense Technology, College of Artificial Intelligence, Changsha, China
- Shuchang Liu 0003 — University of California San Diego, La Jolla, CA, USA (and 1 more)
- Shuchang Liu 0004 — Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, China
- Shuchang Liu 0005 — Beijing University of Posts and Telecommunications, China
- Shuchang Liu 0006 — Kuaishou Inc., Beijing, China
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2020 – today
- 2023
- [c10]Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang:
VIP5: Towards Multimodal Foundation Models for Recommendation. EMNLP (Findings) 2023: 9606-9620 - [i12]Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang:
VIP5: Towards Multimodal Foundation Models for Recommendation. CoRR abs/2305.14302 (2023) - 2022
- [c9]Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amélie Marian:
Fairness-aware Federated Matrix Factorization. RecSys 2022: 168-178 - [c8]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: 299-315 - [c7]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: 681-691 - [c6]Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang:
Graph Collaborative Reasoning. WSDM 2022: 75-84 - [i11]Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang:
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). CoRR abs/2203.13366 (2022) - [i10]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 abs/2204.11159 (2022) - [i9]Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Juntao Tan, Shuchang Liu, Yongfeng Zhang:
Fairness in Recommendation: A Survey. CoRR abs/2205.13619 (2022) - [i8]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 abs/2207.12515 (2022) - 2021
- [c5]Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amélie Marian:
FedCT: Federated Collaborative Transfer for Recommendation. SIGIR 2021: 716-725 - [c4]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: 445-453 - [c3]Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative Slate Recommendations. WWW 2021: 436-448 - [i7]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 abs/2101.03584 (2021) - [i6]Yunqi Li, Shuyuan Xu, Bo Liu, Zuohui Fu, Shuchang Liu, Xu Chen, Yongfeng Zhang:
Discrete Knowledge Graph Embedding based on Discrete Optimization. CoRR abs/2101.04817 (2021) - [i5]Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang:
Variation Control and Evaluation for Generative SlateRecommendations. CoRR abs/2102.13302 (2021) - [i4]Yingqiang Ge, Shuchang Liu, Zelong Li, Shuyuan Xu, Shijie Geng, Yunqi Li, Juntao Tan, Fei Sun, Yongfeng Zhang:
Counterfactual Evaluation for Explainable AI. CoRR abs/2109.01962 (2021) - [i3]Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang:
Graph Collaborative Reasoning. CoRR abs/2112.13705 (2021) - 2020
- [c2]Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang:
Learning Personalized Risk Preferences for Recommendation. SIGIR 2020: 409-418 - [i2]Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yongfeng Zhang:
Learning Post-Hoc Causal Explanations for Recommendation. CoRR abs/2006.16977 (2020) - [i1]Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang:
Learning Personalized Risk Preferences for Recommendation. CoRR abs/2007.02478 (2020)
2010 – 2019
- 2019
- [c1]Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang:
Maximizing Marginal Utility per Dollar for Economic Recommendation. WWW 2019: 2757-2763
Coauthor Index
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last updated on 2024-12-18 18:24 CET by the dblp team
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