Ziru Liu

According to our database, Ziru Liu authored at least 12 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation.

Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

Knowl. Inf. Syst., January, 2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai

CoRR, 2024

Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation.

Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

M³oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.

Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Modeling User Retention through Generative Flow Networks.

Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Multi-Task Deep Recommender Systems: A Survey.

Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang

CoRR, 2023

Multi-Task Recommendations with Reinforcement Learning.

Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the ACM Web Conference 2023, 2023

KuaiSim: A Comprehensive Simulator for Recommender Systems.

Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Empirical Bregman Divergence for Uncertain Distance Representation.

Zhiyuan Li, Ziru Liu, Anna Zou, Anca L. Ralescu

Proceedings of the 26th International Conference on Information Fusion, 2023

2020

ItLnc-BXE: A Bagging-XGBoost-Ensemble Method With Comprehensive Sequence Features for Identification of Plant lncRNAs.

Guangyan Zhang, Ziru Liu, Jichen Dai, Zilan Yu, Shuai Liu, Wen Zhang

IEEE Access, 2020

2019

PtLnc-BXE: Prediction of plant lncRNAs using a Bagging-XGBoost-ensemble method with multiple features.

Guangyan Zhang, Ziru Liu, Jichen Dai, Zilan Yu, Shuai Liu, Wen Zhang

CoRR, 2019