Dianer Yu

According to our database, Dianer Yu authored at least 18 papers between 2021 and 2025.

Collaborative distances:

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

2025

Large Language Models Meet Causal Inference: Semantic-Rich Dual Propensity Score for Sequential Recommendation.

Dianer Yu, Qian Li, Sirui Huang, Jie Cao, Guandong Xu

IEEE Trans. Knowl. Data Eng., November, 2025

A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems.

Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu

IEEE Trans. Knowl. Data Eng., May, 2025

2024

Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu

Trans. Recomm. Syst., December, 2024

Counterfactual Explanation for Fairness in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu

ACM Trans. Inf. Syst., July, 2024

Reinforced Path Reasoning for Counterfactual Explainable Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu

IEEE Trans. Knowl. Data Eng., July, 2024

Counterfactual Explainable Conversational Recommendation.

Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu

IEEE Trans. Knowl. Data Eng., June, 2024

Neural Causal Graph collaborative filtering.

Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu

Inf. Sci., 2024

Counterfactual Debasing for Multi-behavior Recommendations.

Sirui Huang, Qian Li, Xiangmeng Wang, Dianer Yu, Guandong Xu, Qing Li

Proceedings of the Database Systems for Advanced Applications, 2024

2023

Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu

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

Deconfounded recommendation via causal intervention.

Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu

Neurocomputing, April, 2023

Causal Neural Graph Collaborative Filtering.

Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu

CoRR, 2023

Causality-guided Graph Learning for Session-based Recommendation.

Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Reinforced Path Reasoning for Counterfactual Explainable Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu

CoRR, 2022

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu

CoRR, 2022

Off-policy Learning over Heterogeneous Information for Recommendation.

Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.

Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Semantics-Guided Disentangled Learning for Recommendation.

Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021

Reasonability Analysis and Application of Solar Energy Equipment Installation in QLD Smart City Using Information Technologies.

Mingyue Guo, Dianer Yu, Shicheng Wu

Proceedings of the AIAM 2021: 3rd International Conference on Artificial Intelligence and Advanced Manufacture, Manchester, United Kingdom, October 23, 2021