Zhongzhou Liu

14 papers A* 3A 2Journal 9
YearRankTypeTitle / Venue / Authors
2026 A conf
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression.
WSDM
Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2026 J jnl
Accelerating Generative Recommendation via Simple Categorical User Sequence Compression.
CoRR
Qijiong Liu, Lu Fan, Zhongzhou Liu, Xiaoyu Dong, Yuankai Luo, Guoyuan An, Nuo Chen, Wei Guo, Yong Liu, Xiao-Ming Wu
2026 J jnl
Can Recommender Systems Teach Themselves? A Recursive Self-Improving Framework with Fidelity Control.
CoRR
Luankang Zhang, Hao Wang, Zhongzhou Liu, Mingjia Yin, Yonghao Huang, Jiaqi Li, Wei Guo, Yong Liu, Huifeng Guo, Defu Lian, Enhong Chen
2024 A conf
Collaborative Cross-modal Fusion with Large Language Model for Recommendation.
CIKM
Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang
2024 J jnl
Collaborative Cross-modal Fusion with Large Language Model for Recommendation.
CoRR
Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang
2024 A* conf
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs.
EMNLP
Liu Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang
2024 J jnl
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs.
CoRR
Ran Liu, Zhongzhou Liu, Xiao-Li Li, Yuan Fang
2024 J jnl
Diversified and Adaptive Negative Sampling on Knowledge Graphs.
CoRR
Ran Liu, Zhongzhou Liu, Xiaoli Li, Hao Wu, Yuan Fang
2024 J jnl
Scaling New Frontiers: Insights into Large Recommendation Models.
CoRR
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
2023 J jnl
Dual-View Preference Learning for Adaptive Recommendation.
IEEE Trans. Knowl. Data Eng.
Zhongzhou Liu, Yuan Fang, Min Wu
2023 A* conf
Estimating Propensity for Causality-based Recommendation without Exposure Data.
NeurIPS
Zhongzhou Liu, Yuan Fang, Min Wu
2023 J jnl
Estimating Propensity for Causality-based Recommendation without Exposure Data.
CoRR
Zhongzhou Liu, Yuan Fang, Min Wu
2023 J jnl
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation.
ACM Trans. Inf. Syst.
Zhongzhou Liu, Yuan Fang, Min Wu
2019 A* conf
FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power.
IJCAI
Zhongzhou Liu, Wenbin Hu