Ziru Liu

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Reinforcement Learning

Customer Preferences

Recommender Systems

Top Venues

Publications

Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
AutoAssign+: Automatic Shared Embedding Assignment in streaming recommendation. Knowl. Inf. Syst. 66 (1) (2024)
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. CoRR (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. CoRR (2024)
Yuhao Wang, Ziru Liu, Yichao Wang, Xiangyu Zhao, Bo Chen, Huifeng Guo, Ruiming Tang
Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold-Start Multi-Scenario Recommendation. WSDM (2024)
Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
Modeling User Retention through Generative Flow Networks. KDD (2024)
Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai
Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention. SIGIR (2024)
Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang
Modeling User Retention through Generative Flow Networks. CoRR (2024)
Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai
oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework. SIGIR (2024)
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
Multi-Task Recommendations with Reinforcement Learning. CoRR (2023)
Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
KuaiSim: A Comprehensive Simulator for Recommender Systems. NeurIPS (2023)
Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, Dong Zheng, Peng Jiang, Kun Gai
KuaiSim: A Comprehensive Simulator for Recommender Systems. CoRR (2023)
Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang
AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation. CoRR (2023)
Zhiyuan Li, Ziru Liu, Anna Zou, Anca L. Ralescu
Learning Empirical Bregman Divergence for Uncertain Distance Representation. FUSION (2023)
Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, Dayou Chen, Tonghao He, Dong Zheng, Peng Jiang, Kun Gai
Multi-Task Recommendations with Reinforcement Learning. WWW (2023)
Zhiyuan Li, Ziru Liu, Anna Zou, Anca L. Ralescu
Learning Empirical Bregman Divergence for Uncertain Distance Representation. CoRR (2023)
Yuhao Wang, Ha Tsz Lam, Yi Wong, Ziru Liu, Xiangyu Zhao, Yichao Wang, Bo Chen, Huifeng Guo, Ruiming Tang
Multi-Task Deep Recommender Systems: A Survey. CoRR (2023)
Guangyan Zhang, Ziru Liu, Jichen Dai, Zilan Yu, Shuai Liu, Wen Zhang
ItLnc-BXE: A Bagging-XGBoost-Ensemble Method With Comprehensive Sequence Features for Identification of Plant lncRNAs. IEEE Access 8 (2020)
Guangyan Zhang, Ziru Liu, Jichen Dai, Zilan Yu, Shuai Liu, Wen Zhang
PtLnc-BXE: Prediction of plant lncRNAs using a Bagging-XGBoost-ensemble method with multiple features. CoRR (2019)