Publications

Tutorials

PAKDD 2022, Recent Advances in Causality-based Recommendation
Slides｜Video

Conference Proceedings

(* represents equal contribution)

MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations
X. Wang, Q. Li, D. Yu, Z. Wang, H. Chen, and G. Xu.
In Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
[paper]

Off-policy Learning over Heterogeneous Information for Recommendation
X. Wang, Q. Li, D. Yu, and G. Xu.
In Proceedings of the ACM Web Conference 2022 (WWW)
[paper]

Joint relational dependency learning for sequential recommendation
X. Wang, Q. Li, W. Zhang, G. Xu, S. Liu, and W. Zhu.
In Proceedings of the 24th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
[paper]

Semantics-Guided Disentangled Learning for Recommendation
D. Yu, Q. Li, X. Wang, Z. Wang, Y. Cao and G. Xu.
In Proceedings of the 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD)
[paper]

Refereed Journals

Causal Disentanglement for Semantics-Aware Intent Learning in Recommendation
X. Wang, Q. Li, D. Yu, P. Cui, Z. Wang and G. Xu.
In IEEE Transactions on Knowledge and Data Engineering (TKDE)
[paper]

Reinforced Path Reasoning for Counterfactual Explainable Recommendation
X. Wang, Q. Li, D. Yu, Q. Li and G. Xu.
In IEEE Transactions on Knowledge and Data Engineering (TKDE)
[paper]

Constrained Off-policy Learning over Heterogeneous Information for Fairness-aware Recommendation
X. Wang, Q. Li, D. Yu, Q. Li and G. Xu.
In ACM Transactions on Recommender Systems (TORS)
[paper]

Be Causal: De-biasing Social Network Confounding in Recommendation
Q. Li*, X. Wang, Z. Wang and G. Xu.
In ACM Transactions on Knowledge Discovery from Data (TKDD)
[paper]

ThermoEPred-EL: Robust bandgap predictions of chalcogenides with diamond-like structure via feature cross-based stacked ensemble learning
X. Wang, Y. Xu, J. Yang, J. Ni, W. Zhu and W. Zhang.
In Computational Materials Science
[paper]

Popularity prediction of movies: from statistical modeling to machine learning techniques
Abidi, S. M. R., Y. Xu, J. Ni, X. Wang and W. Zhang.
In Multimedia Tools and Applications
[paper]

SEHC: A high-throughput materials computing framework with automatic self-evaluation filtering
W. Zhu, Y. Xu, J. Ni, G. Hu, X. Wang and W. Zhang.
In Materials Science and Engineering: B
[paper]

New materials band gap prediction based on the high-throughput calculation and the machine learning
Y. Xu, X. Wang, X. Li and J. Yang.
In Sci Sin Tech
[paper]