Zhongzhou Liu

According to our database, Zhongzhou Liu authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control.

Luankang Zhang, Hao Wang, Zhongzhou Liu, Mingjia Yin, Yonghao Huang, Jiaqi Li, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Enhong Chen

CoRR, February, 2026

Accelerating Generative Recommendation via Simple Categorical User Sequence Compression.

Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

2024

Scaling New Frontiers: Insights into Large Recommendation Models.

Wei Guo, Hao Wang, Luankang Zhang, Jin Yao Chin, Zhongzhou Liu, Kai Cheng, Qiushi Pan, Yi Quan Lee, Wanqi Xue, Tingjia Shen, Kenan Song, Kefan Wang, Wenjia Xie, Yuyang Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen

CoRR, 2024

Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs.

Ran Liu, Zhongzhou Liu, Xiao-Li Li, Yuan Fang

CoRR, 2024

Diversified and Adaptive Negative Sampling on Knowledge Graphs.

Ran Liu, Zhongzhou Liu, Xiaoli Li, Hao Wu, Yuan Fang

CoRR, 2024

Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs.

Liu Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Collaborative Cross-modal Fusion with Large Language Model for Recommendation.

Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Dual-View Preference Learning for Adaptive Recommendation.

Zhongzhou Liu, Yuan Fang, Min Wu

IEEE Trans. Knowl. Data Eng., November, 2023

Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation.

Zhongzhou Liu, Yuan Fang, Min Wu

ACM Trans. Inf. Syst., 2023

Estimating Propensity for Causality-based Recommendation without Exposure Data.

Zhongzhou Liu, Yuan Fang, Min Wu

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

2019

FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power.

Zhongzhou Liu, Wenbin Hu

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019