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2020 – today
- 2024
[j9]Xiangmeng Wang
, Qian Li, Dianer Yu, Wei Huang, Qing Li, Guandong Xu:
Neural Causal Graph collaborative filtering. Inf. Sci. 677: 120872 (2024)- [j8]Dianer Yu, Qian Li, Xiangmeng Wang, Qing Li, Guandong Xu:
Counterfactual Explainable Conversational Recommendation. IEEE Trans. Knowl. Data Eng. 36(6): 2388-2400 (2024) - [j7]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. IEEE Trans. Knowl. Data Eng. 36(7): 3443-3459 (2024) - [j6]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Counterfactual Explanation for Fairness in Recommendation. ACM Trans. Inf. Syst. 42(4): 106:1-106:30 (2024) - [j5]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation. Trans. Recomm. Syst. 2(4): 29:1-29:27 (2024) - 2023
- [j4]Dianer Yu, Qian Li, Xiangmeng Wang, Guandong Xu:
Deconfounded recommendation via causal intervention. Neurocomputing 529: 128-139 (2023) - [j3]Qian Li, Xiangmeng Wang, Zhichao Wang, Guandong Xu:
Be Causal: De-Biasing Social Network Confounding in Recommendation. ACM Trans. Knowl. Discov. Data 17(1): 14:1-14:23 (2023) - [j2]Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu:
Causal Disentanglement for Semantic-Aware Intent Learning in Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 9836-9849 (2023) - [i5]Xiangmeng Wang, Qian Li, Dianer Yu, Wei Huang, Guandong Xu:
Causal Neural Graph Collaborative Filtering. CoRR abs/2307.04384 (2023) - [i4]Xiangmeng Wang, Qian Li, Dianer Yu, Qing Li, Guandong Xu:
Counterfactual Explanation for Fairness in Recommendation. CoRR abs/2307.04386 (2023) - 2022
- [c4]Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu:
Semantics-Guided Disentangled Learning for Recommendation. PAKDD (1) 2022: 249-261 - [c3]Xiangmeng Wang, Qian Li, Dianer Yu, Zhichao Wang, Hongxu Chen, Guandong Xu:
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations. SIGIR 2022: 1369-1378 - [c2]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Off-policy Learning over Heterogeneous Information for Recommendation. WWW 2022: 2348-2359 - [i3]Xiangmeng Wang, Qian Li, Dianer Yu, Peng Cui, Zhichao Wang, Guandong Xu:
Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation. CoRR abs/2202.02576 (2022) - [i2]Xiangmeng Wang, Qian Li, Dianer Yu, Guandong Xu:
Reinforced Path Reasoning for Counterfactual Explainable Recommendation. CoRR abs/2207.06674 (2022) - 2021
- [i1]Qian Li, Xiangmeng Wang, Guandong Xu:
Be Causal: De-biasing Social Network Confounding in Recommendation. CoRR abs/2105.07775 (2021) - 2020
- [j1]Syed Muhammad Raza Abidi, Yonglin Xu, Jianyue Ni, Xiangmeng Wang, Wu Zhang:
Popularity prediction of movies: from statistical modeling to machine learning techniques. Multim. Tools Appl. 79(47): 35583-35617 (2020) - [c1]Xiangmeng Wang, Qian Li, Wu Zhang, Guandong Xu, Shaowu Liu, Wenhao Zhu:
Joint Relational Dependency Learning for Sequential Recommendation. PAKDD (1) 2020: 168-180
Coauthor Index
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