Publications

​Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, et al. “Modeling User Retention through Generative Flow Networks”, The 30th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD'2024-ADS)

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”, The 47th International ACM SIGIR Conference (SIGIR'2024)

Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, et al. “Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention”, The 47th International ACM SIGIR Conference (SIGIR'2024)

Yuhao Wang*, Ziru Liu*, Yichao Wang, Xiangyu Zhao, et al. “Diff-MSR: A Diffusion Model Enhanced Paradigm for Cold- Start Multi-Scenario Recommendation”, 17th ACM International Conference on Web Search and Data Mining (WSDM'2024)

Kesen Zhao, Shuchang Liu, Qingpeng Cai, Xiangyu Zhao, Ziru Liu, et al. “KuaiSim: A Comprehensive Simulator for Recommender Systems”, 37th Annual Conference on Neural Information Processing Systems (NeurIPS'2023)

Ziru Liu, Kecheng Chen, Fengyi Song, Bo Chen, Xiangyu Zhao, Huifeng Guo, Ruiming Tang, “AutoAssign+: Automatic Shared Embedding Assignment in Streaming Recommendation”, Knowledge and Information Systems 2023 (KAIS'2023)

Ziru Liu, Jiejie Tian, Qingpeng Cai, Xiangyu Zhao, Jingtong Gao, Shuchang Liu, et al. “Multi-Task Recommendations with Reinforcement Learning”, The Web Conference 2023 (WWW'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”, arXiv [cs.IR]