Xiao Liu

According to our database, Xiao Liu authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

FDGNN: Feature-Aware Disentangled Graph Neural Network for Recommendation.

Xiao Liu, Shunmei Meng, Qianmu Li, Qiyan Liu, Qiang He, Dharavath Ramesh, Lianyong Qi

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

2023

Noise-Augmented Contrastive Learning for Sequential Recommendation.

Kun He, Shunmei Meng, Qianmu Li, Xiao Liu, Amin Beheshti, Xiaoxiao Chi, Xuyun Zhang

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

Disentangled Hypergraph Collaborative Filtering for Social Recommendation.

Xiao Liu, Shunmei Meng, Qianmu Li, Xiaolong Xu, Lianyong Qi, Wanchun Dou, Jing Zhang, Xuyun Zhang

Proceedings of the IEEE International Conference on Web Services, 2023

Multi-Granularity Contrastive Learning for Graph with Hierarchical Pooling.

Peishuo Liu, Cangqi Zhou, Xiao Liu, Jing Zhang, Qianmu Li

Proceedings of the Artificial Neural Networks and Machine Learning, 2023

Improving Adversarial Transferability with Heuristic Random Transformation.

Bowen Guo, Qianmu Li, Xiao Liu

Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation.

Xiao Liu, Shunmei Meng, Qianmu Li, Lianyong Qi, Xiaolong Xu, Wanchun Dou, Xuyun Zhang

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

2022

Knowledge-aware Graph Attention Network with Distributed & Cross Learning for Collaborative Recommendation.

Yang Dai, Shunmei Meng, Qiyan Liu, Xiao Liu

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022