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Xiangmeng Wang
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Popularity prediction of movies: from statistical modeling to machine learning techniques
SMR Abidi, Y Xu, J Ni, X Wang, W Zhang
Multimedia Tools and Applications 79, 35583-35617, 2020
182020
Be causal: De-biasing social network confounding in recommendation
Q Li, X Wang, Z Wang, G Xu
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
152022
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 Zhang, W Zhu
Computational Materials Science 169, 109117, 2019
132019
Joint relational dependency learning for sequential recommendation
X Wang, Q Li, W Zhang, G Xu, S Liu, W Zhu
Advances in Knowledge Discovery and Data Mining: 24th Pacific-Asia …, 2020
82020
Causal disentanglement for semantics-aware intent learning in recommendation
X Wang, Q Li, D Yu, P Cui, Z Wang, G Xu
IEEE Transactions on Knowledge and Data Engineering, 2022
72022
SEHC: A high-throughput materials computing framework with automatic self-evaluation filtering
W Zhu, Y Xu, J Ni, G Hu, X Wang, W Zhang
Materials Science and Engineering: B 252, 114474, 2020
52020
Demystifying help-seeking students interacting multimodal learning environment under machine learning regime
SMR Abidi, J Ni, S Ge, X Wang, H Ding, W Zhu, W Zhang
Eleventh International Conference on Graphics and Image Processing (ICGIP …, 2020
42020
Reinforced Path Reasoning for Counterfactual Explainable Recommendation
X Wang, Q Li, D Yu, G Xu
arXiv preprint arXiv:2207.06674, 2022
12022
MGPolicy: Meta Graph Enhanced Off-policy Learning for Recommendations
X Wang, Q Li, D Yu, Z Wang, H Chen, G Xu
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
12022
Off-policy Learning over Heterogeneous Information for Recommendation
X Wang, Q Li, D Yu, G Xu
Proceedings of the ACM Web Conference 2022, 2348-2359, 2022
12022
Semantics-Guided Disentangled Learning for Recommendation
D Yu, Q Li, X Wang, Z Wang, Y Cao, G Xu
Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia …, 2022
2022
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