Zhuang Liu

According to our database, Zhuang Liu authored at least 17 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Wasserstein Dependent Graph Attention Network for Collaborative Filtering With Uncertainty.

Haoxuan Li, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Zhang Xiong

IEEE Trans. Comput. Soc. Syst., February, 2025

2024

Multimodal Contrastive Transformer for Explainable Recommendation.

Zhuang Liu, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Wenge Rong, Zhang Xiong

IEEE Trans. Comput. Soc. Syst., April, 2024

Explainable Few-shot Knowledge Tracing.

Haoxuan Li, Jifan Yu, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Juanzi Li, Zhang Xiong

CoRR, 2024

A Review of Data Mining in Personalized Education: Current Trends and Future Prospects.

Zhang Xiong, Haoxuan Li, Zhuang Liu, Zhuofan Chen, Hao Zhou, Wenge Rong, Yuanxin Ouyang

CoRR, 2024

SACL: Siamese Adaptive Contrastive Learning for Recommendation.

Shikang Bao, Zhuang Liu, Chen Li, Jianfei Zhang, Guanming Chen, Yuanxin Ouyang, Wenge Rong

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

Reinforcement Learning-Based Recommendation with User Reviews on Knowledge Graphs.

Siyuan Zhang, Yuanxin Ouyang, Zhuang Liu, Weijie He, Wenge Rong, Zhang Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2023

Debiased Contrastive Loss for Collaborative Filtering.

Zhuang Liu, Yunpu Ma, Haoxuan Li, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2023

Multi-level and Multi-interest User Interest Modeling for News Recommendation.

Yun Hou, Yuanxin Ouyang, Zhuang Liu, Fujing Han, Wenge Rong, Zhang Xiong

Proceedings of the Knowledge Science, Engineering and Management, 2023

PopDCL: Popularity-aware Debiased Contrastive Loss for Collaborative Filtering.

Zhuang Liu, Haoxuan Li, Guanming Chen, Yuanxin Ouyang, Wenge Rong, Zhang Xiong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

CDARL: a contrastive discriminator-augmented reinforcement learning framework for sequential recommendations.

Zhuang Liu, Yunpu Ma, Marcel Hildebrandt, Yuanxin Ouyang, Zhang Xiong

Knowl. Inf. Syst., 2022

Reinforcement Learning-Based Explainable Recommendation over Knowledge Graphs with Negative Sampling.

Siyuan Zhang, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Zhang Xiong

Proceedings of the IEEE Smartworld, 2022

MAKT: Multichannel Attention Networks based Knowledge Tracing with Representation Learning.

Xuyang Jiang, Yuanxin Ouyang, Zhuang Liu, Wenge Rong, Zhang Xiong

Proceedings of the IEEE International Conference on Teaching, 2022

Multi-Modal Contrastive Pre-training for Recommendation.

Zhuang Liu, Yunpu Ma, Matthias Schubert, Yuanxin Ouyang, Zhang Xiong

Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

2021

Contrastive Learning for Recommender System.

Zhuang Liu, Yunpu Ma, Yuanxin Ouyang, Zhang Xiong

CoRR, 2021

Insight into traffic security: A correlation discovery of urban spatial features and traffic flow patterns.

Juhua Pu, Zhuang Liu, Yue Wang, Xingwu Liu

Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2021

2020

Predict the Next Attack Location via An Attention-based Fused-SpatialTemporal LSTM.

Zhuang Liu, Juhua Pu, Nana Zhan, Xingwu Liu

Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2018

MEMN: Multiple Vectors Embedding for Multi-Label Networks.

Juhua Pu, Zhuang Liu, Yujun Chen, Xingwu Liu

IEEE Access, 2018