Reasonability Analysis and Application of Solar Energy Equipment Installation in QLD Smart City Using Information Technologies. - Mingyue Guo; Dianer Yu; Shicheng Wu (AIAM (ACM), 2021)

Semantics-Guided Disentangled Learning for Recommendation. - Dianer Yu; Qian Li 003; Xiangmeng Wang; Zhichao Wang 001; Yanan Cao 001; Guandong Xu (PAKDD (1), 2022)

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Zhichao Wang 001; Hongxu Chen 002; Guandong Xu (SIGIR, 2022)

Off-policy Learning over Heterogeneous Information for Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Guandong Xu (WWW, 2022)

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Peng Cui 001; Zhichao Wang 001; Guandong Xu (CoRR, 2022)

Reinforced Path Reasoning for Counterfactual Explainable Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Guandong Xu (CoRR, 2022)

Causality-guided Graph Learning for Session-based Recommendation. - Dianer Yu; Qian Li 003; Hongzhi Yin; Guandong Xu (CIKM, 2023)

Causal Neural Graph Collaborative Filtering. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Wei Huang; Guandong Xu (CoRR, 2023)

Deconfounded recommendation via causal intervention. - Dianer Yu; Qian Li 003; Xiangmeng Wang; Guandong Xu (Neurocomputing, 2023)

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Peng Cui 001; Zhichao Wang 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2023)

Counterfactual Debasing for Multi-behavior Recommendations. - Sirui Huang; Qian Li 003; Xiangmeng Wang; Dianer Yu; Guandong Xu; Qing Li 001 (DASFAA (3), 2024)

Neural Causal Graph collaborative filtering. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Wei Huang; Qing Li 001; Guandong Xu (Inf. Sci., 2024)

Counterfactual Explainable Conversational Recommendation. - Dianer Yu; Qian Li 003; Xiangmeng Wang; Qing Li 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Reinforced Path Reasoning for Counterfactual Explainable Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Qing Li 001; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2024)

Counterfactual Explanation for Fairness in Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Qing Li 001; Guandong Xu (ACM Trans. Inf. Syst., 2024)

Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation. - Xiangmeng Wang; Qian Li 003; Dianer Yu; Qing Li 001; Guandong Xu (Trans. Recomm. Syst., 2024)

A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems. - Dianer Yu; Qian Li 003; Xiangmeng Wang; Guandong Xu (IEEE Trans. Knowl. Data Eng., 2025)