Xian Mo

According to our database, Xian Mo authored at least 16 papers between 2020 and 2025.

Collaborative distances:

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

2025

An Effective Node Injection Approach for Attacking Social Network Alignment.

Shuyu Jiang, Yunxiang Qiu, Xian Mo, Rui Tang, Wei Wang

IEEE Trans. Inf. Forensics Secur., 2025

Multi-relational graph contrastive learning with learnable graph augmentation.

Xian Mo, Jun Pang, Binyuan Wan, Rui Tang, Hao Liu, Shuyu Jiang

Neural Networks, 2025

Intelligible graph contrastive learning with attention-aware for recommendation.

Xian Mo, Zihang Zhao, Xiaoru He, Hang Qi, Hao Liu

Neurocomputing, 2025

2024

Deep autoencoder architecture with outliers for temporal attributed network embedding.

Xian Mo, Jun Pang, Zhiming Liu

Expert Syst. Appl., 2024

TemporalHAN: Hierarchical attention-based heterogeneous temporal network embedding.

Xian Mo, Binyuan Wan, Rui Tang

Eng. Appl. Artif. Intell., 2024

Attention-based network embedding with higher-order weights and node attributes.

Xian Mo, Binyuan Wan, Rui Tang, Junkai Ding, Guangdi Liu

CAAI Trans. Intell. Technol., 2024

Reinforcement Learning based Battery Energy Neutral Operation for EHWS.

Shuhua Yuan, Yongqi Ge, Jiayuan Wei, Zhenbo Yuan, Rui Liu, Xian Mo

Proceedings of the 27th International Conference on Computer Supported Cooperative Work in Design, 2024

2023

A relation-aware heterogeneous graph convolutional network for relationship prediction.

Xian Mo, Rui Tang, Hao Liu

Inf. Sci., April, 2023

Exploiting Unfairness With Meta-Set Learning for Chronological Age Estimation.

Chenyang Wang, Zhendong Li, Xian Mo, Xiaofen Tang, Hao Liu

IEEE Trans. Inf. Forensics Secur., 2023

A Low-cost, High-impact Node Injection Approach for Attacking Social Network Alignment.

Shuyu Jiang, Yunxiang Qiu, Xian Mo, Rui Tang, Wei Wang

CoRR, 2023

Structural Equivariance Self-Supervised Learning for Facial Pose Estimation.

Yaoxing Wang, Heng Zhou, Zhendong Li, Xian Mo, Hao Liu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

An Energy Prediction Method for Energy Harvesting Wireless Sensor with Dynamically Adjusting Weight Factor.

Zhenbo Yuan, Yongqi Ge, Jiayuan Wei, Shuhua Yuan, Rui Liu, Xian Mo

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

Effective attributed network embedding with information behavior extraction.

Ganglin Hu, Jun Pang, Xian Mo

PeerJ Comput. Sci., 2022

THS-GWNN: a deep learning framework for temporal network link prediction.

Xian Mo, Jun Pang, Zhiming Liu

Frontiers Comput. Sci., 2022

2021

Effective Link Prediction with Topological and Temporal Information using Wavelet Neural Network Embedding.

Xian Mo, Jun Pang, Zhiming Liu

Comput. J., 2021

2020

Higher-Order Graph Convolutional Embedding for Temporal Networks.

Xian Mo, Jun Pang, Zhiming Liu

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020