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SHUCHANG LIU
SHUCHANG LIU
Researcher at Kuaishou; PhD in CS, Rutgers University
Verified email at scarletmail.rutgers.edu
Title
Cited by
Cited by
Year
Recommendation as language processing (rlp): A unified pretrain, personalized prompt & predict paradigm (p5)
S Geng, S Liu, Z Fu, Y Ge, Y Zhang
Proceedings of the 16th ACM Conference on Recommender Systems, 299-315, 2022
2512022
Towards long-term fairness in recommendation
Y Ge, S Liu, R Gao, Y Xian, Y Li, X Zhao, C Pei, F Sun, J Ge, W Ou, ...
Proceedings of the 14th ACM international conference on web search and data …, 2021
2002021
Fairness in recommendation: A survey
Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang
arXiv preprint arXiv:2205.13619, 2022
652022
Explainable fairness in recommendation
Y Ge, J Tan, Y Zhu, Y Xia, J Luo, S Liu, Z Fu, S Geng, Z Li, Y Zhang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
512022
A survey on trustworthy recommender systems
Y Ge, S Liu, Z Fu, J Tan, Z Li, S Xu, Y Li, Y Xian, Y Zhang
ACM Transactions on Recommender Systems, 2022
452022
FedCT: Federated collaborative transfer for recommendation
S Liu, S Xu, W Yu, Z Fu, Y Zhang, A Marian
Proceedings of the 44th international ACM SIGIR conference on research and …, 2021
402021
Graph collaborative reasoning
H Chen, Y Li, S Shi, S Liu, H Zhu, Y Zhang
Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022
382022
Learning causal explanations for recommendation
S Xu, Y Li, S Liu, Z Fu, Y Ge, X Chen, Y Zhang
The 1st International Workshop on Causality in Search and Recommendation, 2021
342021
Fairness in recommendation: Foundations, methods, and applications
Y Li, H Chen, S Xu, Y Ge, J Tan, S Liu, Y Zhang
ACM Transactions on Intelligent Systems and Technology 14 (5), 1-48, 2023
322023
Vip5: Towards multimodal foundation models for recommendation
S Geng, J Tan, S Liu, Z Fu, Y Zhang
arXiv preprint arXiv:2305.14302, 2023
312023
Fairness-aware Federated Matrix Factorization
S Liu, Y Ge, S Xu, Y Zhang, A Marian
Proceedings of the 16th ACM Conference on Recommender Systems, 168-178, 2022
282022
Learning personalized risk preferences for recommendation
Y Ge, S Xu, S Liu, Z Fu, F Sun, Y Zhang
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
262020
Learning post-hoc causal explanations for recommendation
S Xu, Y Li, S Liu, Z Fu, X Chen, Y Zhang
arXiv preprint arXiv:2006.16977, 2020
252020
Maximizing marginal utility per dollar for economic recommendation
Y Ge, S Xu, S Liu, S Geng, Z Fu, Y Zhang
The World Wide Web Conference, 2757-2763, 2019
242019
Reinforcing user retention in a billion scale short video recommender system
Q Cai, S Liu, X Wang, T Zuo, W Xie, B Yang, D Zheng, P Jiang, K Gai
Companion Proceedings of the ACM Web Conference 2023, 421-426, 2023
232023
Two-stage constrained actor-critic for short video recommendation
Q Cai, Z Xue, C Zhang, W Xue, S Liu, R Zhan, X Wang, T Zuo, W Xie, ...
Proceedings of the ACM Web Conference 2023, 865-875, 2023
192023
Multi-task recommendations with reinforcement learning
Z Liu, J Tian, Q Cai, X Zhao, J Gao, S Liu, D Chen, T He, D Zheng, P Jiang, ...
Proceedings of the ACM Web Conference 2023, 1273-1282, 2023
182023
Prefrec: Recommender systems with human preferences for reinforcing long-term user engagement
W Xue, Q Cai, Z Xue, S Sun, S Liu, D Zheng, P Jiang, K Gai, B An
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
17*2023
Variation control and evaluation for generative slate recommendations
S Liu, F Sun, Y Ge, C Pei, Y Zhang
Proceedings of the Web Conference 2021, 436-448, 2021
162021
A large language model enhanced conversational recommender system
Y Feng, S Liu, Z Xue, Q Cai, L Hu, P Jiang, K Gai, F Sun
arXiv preprint arXiv:2308.06212, 2023
132023
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Articles 1–20