Seuraa
SHUCHANG LIU
SHUCHANG LIU
Researcher at Kuaishou; PhD in CS, Rutgers University
Vahvistettu sähköpostiosoite verkkotunnuksessa scarletmail.rutgers.edu
Nimike
Viittaukset
Viittaukset
Vuosi
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
2922022
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
2122021
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
692022
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
572022
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
522022
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
442021
Vip5: Towards multimodal foundation models for recommendation
S Geng, J Tan, S Liu, Z Fu, Y Zhang
arXiv preprint arXiv:2305.14302, 2023
432023
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
402022
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
382023
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
292022
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
292021
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
292020
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
282020
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
272023
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
242023
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
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
222023
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
20*2023
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
192023
Exploration and Regularization of the Latent Action Space in Recommendation
S Liu, Q Cai, B Sun, Y Wang, J Jiang, D Zheng, K Gai, P Jiang, X Zhao, ...
The Web Conference 2023, 833–844, 2023
182023
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20