FSM: A Fast Similarity Measurement for Gene Regulatory Networks via Genes' Influence Power. - Zhongzhou Liu; Wenbin Hu (IJCAI, 2019)

Estimating Propensity for Causality-based Recommendation without Exposure Data. - Zhongzhou Liu; Yuan Fang 001; Min Wu 008 (NeurIPS, 2023)

Mitigating Popularity Bias for Users and Items with Fairness-centric Adaptive Recommendation. - Zhongzhou Liu; Yuan Fang 001; Min Wu 008 (ACM Trans. Inf. Syst., 2023)

Dual-View Preference Learning for Adaptive Recommendation. - Zhongzhou Liu; Yuan Fang 001; Min Wu 008 (IEEE Trans. Knowl. Data Eng., 2023)

Collaborative Cross-modal Fusion with Large Language Model for Recommendation. - Zhongzhou Liu; Hao Zhang 048; Kuicai Dong; Yuan Fang 001 (CIKM, 2024)

Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. - Liu Ran; Zhongzhou Liu; Xiaoli Li 001; Yuan Fang 001 (EMNLP, 2024)

Diversified and Adaptive Negative Sampling on Knowledge Graphs. - Ran Liu; Zhongzhou Liu; Xiaoli Li 001; Hao Wu 098; Yuan Fang 001 (CoRR, 2024)

Context-Aware Adapter Tuning for Few-Shot Relation Learning in Knowledge Graphs. - Ran Liu; Zhongzhou Liu; Xiao-Li Li 001; Yuan Fang 001 (CoRR, 2024)

Scaling New Frontiers: Insights into Large Recommendation Models. - Wei Guo 006; Hao Wang 076; Luankang Zhang; Jin Yao Chin; Zhongzhou Liu; Kai Cheng; Qiushi Pan; Yi Quan Lee; Wanqi Xue; Tingjia Shen; Kenan Song; Kefan Wang; et al. (CoRR, 2024)