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2020 – today
- 2024
[c4]Zhongzhou Liu
, Hao Zhang, Kuicai Dong, Yuan Fang:
Collaborative Cross-modal Fusion with Large Language Model for Recommendation. CIKM 2024: 1565-1574- [c3]Liu Ran, Zhongzhou Liu, Xiaoli Li, Yuan Fang:
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. EMNLP 2024: 17525-17537 - [i5]Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang:
Collaborative Cross-modal Fusion with Large Language Model for Recommendation. CoRR abs/2408.08564 (2024) - [i4]Ran Liu, Zhongzhou Liu, Xiaoli Li, Hao Wu, Yuan Fang:
Diversified and Adaptive Negative Sampling on Knowledge Graphs. CoRR abs/2410.07592 (2024) - [i3]Ran Liu, Zhongzhou Liu, Xiao-Li Li, Yuan Fang:
Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. CoRR abs/2410.09123 (2024) - [i2]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:
Scaling New Frontiers: Insights into Large Recommendation Models. CoRR abs/2412.00714 (2024) - 2023
- [j2]Zhongzhou Liu, Yuan Fang, Min Wu:
Dual-View Preference Learning for Adaptive Recommendation. IEEE Trans. Knowl. Data Eng. 35(11): 11316-11327 (2023) - [j1]Zhongzhou Liu, Yuan Fang, Min Wu:
Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation. ACM Trans. Inf. Syst. 41(3): 55:1-55:27 (2023) - [c2]Zhongzhou Liu, Yuan Fang, Min Wu:
Estimating Propensity for Causality-based Recommendation without Exposure Data. NeurIPS 2023 - [i1]Zhongzhou Liu, Yuan Fang, Min Wu:
Estimating Propensity for Causality-based Recommendation without Exposure Data. CoRR abs/2310.20388 (2023)
2010 – 2019
- 2019
- [c1]Zhongzhou Liu, Wenbin Hu:
FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power. IJCAI 2019: 4547-4553
Coauthor Index
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