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2020 – today
- 2024
[j13]Yuanguo Lin, Wei Zhang
, Fan Lin, Wenhua Zeng, Xiuze Zhou, Pengcheng Wu:
Knowledge-aware reasoning with self-supervised reinforcement learning for explainable recommendation in MOOCs. Neural Comput. Appl. 36(8): 4115-4132 (2024)- [i2]Sisuo Lyu, Xiuze Zhou, Xuming Hu:
Multi-view Hypergraph-based Contrastive Learning Model for Cold-Start Micro-video Recommendation. CoRR abs/2409.09638 (2024) - 2023
- [i1]Yujie Ding, Shuai Jia, Tianyi Ma, Bingcheng Mao, Xiuze Zhou, Liuliu Li, Dongming Han:
Integrating Stock Features and Global Information via Large Language Models for Enhanced Stock Return Prediction. CoRR abs/2310.05627 (2023) - 2022
- [j12]Daoquan Chen, Weicong Hong, Xiuze Zhou:
Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries. IEEE Access 10: 19621-19628 (2022) - [j11]Wei Zhang, Yuanguo Lin, Yong Liu, Huanyu You, Pengcheng Wu, Fan Lin, Xiuze Zhou:
Self-Supervised Reinforcement Learning with dual-reward for knowledge-aware recommendation. Appl. Soft Comput. 131: 109745 (2022) - [j10]Ming Chen, Tianyi Ma, Xiuze Zhou:
CoCNN: Co-occurrence CNN for recommendation. Expert Syst. Appl. 195: 116595 (2022) - 2021
- [j9]Xiujin Wu, Wenhua Zeng, Fan Lin, Xiuze Zhou:
NeuRank: learning to rank with neural networks for drug-target interaction prediction. BMC Bioinform. 22(1): 567 (2021) - [j8]Ming Chen, Yunhao Li, Xiuze Zhou:
CoNet: Co-occurrence neural networks for recommendation. Future Gener. Comput. Syst. 124: 308-314 (2021) - 2020
- [j7]Ming Chen, Xiuze Zhou:
DeepRank: Learning to rank with neural networks for recommendation. Knowl. Based Syst. 209: 106478 (2020)
2010 – 2019
- 2019
- [j6]Kangkang Li, Xiuze Zhou, Fan Lin, Wenhua Zeng, Gil Alterovitz:
Deep Probabilistic Matrix Factorization Framework for Online Collaborative Filtering. IEEE Access 7: 56117-56128 (2019) - [j5]Kangkang Li, Xiuze Zhou, Fan Lin, Wenhua Zeng, Beizhan Wang, Gil Alterovitz:
Sparse online collaborative filtering with dynamic regularization. Inf. Sci. 505: 535-548 (2019) - 2018
- [j4]Xiuze Zhou, Weibo Shu, Fan Lin, Beizhan Wang:
Confidence-weighted bias model for online collaborative filtering. Appl. Soft Comput. 70: 1042-1053 (2018) - 2017
- [j3]Xiuze Zhou, Shunxiang Wu:
The Biterm Author Topic in the Sentences Model for E-Mail Analysis. IEICE Trans. Inf. Syst. 100-D(8): 1852-1859 (2017) - 2016
- [j2]Fan Lin, Xiuze Zhou, Wenhua Zeng:
Sparse Online Learning for Collaborative Filtering. Int. J. Comput. Commun. Control 11(2): 248-258 (2016) - [j1]Xiuze Zhou, Shunxiang Wu:
Rating LDA model for collaborative filtering. Knowl. Based Syst. 110: 135-143 (2016)
Coauthor Index
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