Dianer Yu

21 papers A* 2A 1Journal 15Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Causal-Based Attribute Selection Strategy for Conversational Recommender Systems.
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu
2025 J jnl
Breaking the Loop: Causal Learning to Mitigate Echo Chambers in Social Networks.
ACM Trans. Inf. Syst.
Dianer Yu, Qian Li, Huan Huo, Guandong Xu
2025 J jnl
Causal Time-aware News Recommendations with Large Language Models.
ACM Trans. Inf. Syst.
Sirui Huang, Qian Li, Haoran Yang, Dianer Yu, Qing Li, Guandong Xu
2025 J jnl
Large Language Models Meet Causal Inference: Semantic-Rich Dual Propensity Score for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Sirui Huang, Jie Cao, Guandong Xu
2024 J jnl
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation.
Trans. Recomm. Syst.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2024 — conf
Counterfactual Debasing for Multi-behavior Recommendations.
DASFAA (3)
Sirui Huang, Qian Li, Xiangmeng Wang, Dianer Yu, Guandong Xu, Qing Li
2024 J jnl
Counterfactual Explainable Conversational Recommendation.
IEEE Trans. Knowl. Data Eng.
Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu
2024 J jnl
Counterfactual Explanation for Fairness in Recommendation.
ACM Trans. Inf. Syst.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2024 J jnl
Neural Causal Graph collaborative filtering.
Inf. Sci.
Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu
2024 J jnl
Reinforced Path Reasoning for Counterfactual Explainable Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2023 J jnl
Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation.
IEEE Trans. Knowl. Data Eng.
Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2023 J jnl
Causal Neural Graph Collaborative Filtering.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu
2023 A conf
Causality-guided Graph Learning for Session-based Recommendation.
CIKM
Dianer Yu, Qian Li, Hongzhi Yin, Guandong Xu
2023 J jnl
Counterfactual Explanation for Fairness in Recommendation.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu
2023 J jnl
Deconfounded recommendation via causal intervention.
Neurocomputing
Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu
2022 J jnl
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu
2022 A* conf
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations.
SIGIR
Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu
2022 A* conf
Off-policy Learning over Heterogeneous Information for Recommendation.
WWW
Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
2022 J jnl
Reinforced Path Reasoning for Counterfactual Explainable Recommendation.
CoRR
Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu
2022 — conf
Semantics-Guided Disentangled Learning for Recommendation.
PAKDD (1)
Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu
2021 — conf
Reasonability Analysis and Application of Solar Energy Equipment Installation in QLD Smart City Using Information Technologies.
AIAM (ACM)
Mingyue Guo, Dianer Yu, Shicheng Wu